diff --git a/README.md b/README.md
index a1068b96..53698921 100644
--- a/README.md
+++ b/README.md
@@ -12,7 +12,7 @@ This repo contains code to train and evaluate pv-site models.
 ├── data                # Placeholder for data files
 └── psp                 # Main python package
     ├── clients         # Client specific code
-    ├── data_sources    # Data sources (PV, NWP, etc.)
+    ├── data_sources    # Data sources (PV, NWP, Satellite, etc.)
     ├── exp_configs     # Experimentation configs - a config defines the different options for
     │                   # training and evaluation models. This directory contains many ready
     │                   # configs where the paths points to the data on Leonardo.
diff --git a/exp_reports/013_satellite/readme.md b/exp_reports/013_satellite/readme.md
new file mode 100644
index 00000000..a240cb5c
--- /dev/null
+++ b/exp_reports/013_satellite/readme.md
@@ -0,0 +1,38 @@
+## Backtest using Satellite
+
+We've added satellite data into our model. 
+We use the satellite data from google public dataset's [here](gs://public-datasets-eumetsat-solar-forecasting/satellite/EUMETSAT/SEVIRI_RSS/v4/)
+
+The backtest was trained on 2018 and 2019 data and tested on 2020 and 2021 data.
+
+For satellie data we use all the channels, and take an average over 5 by 5 pixels closes to the PV system. 
+
+```bash
+poetry run python psp/scripts/train_model.py -n uk_pv -c uk_pv -b 1
+```
+
+If we don't include live PV data, and just forecast up to 8 hours ahead,
+we get the following results:
+The 0 hour improves from 17.0 to 15.6. This is a 9% improvement.
+By 8 hours we see very little improvement.
+This was run with 20,000 
+
+
+If we include live PV data, and just forecast up to 8 hours ahead,
+we get the following results:
+The 0 hour improves from 12.9 to 11.6. This is a 10% improvement.
+By 8 hours we see very little improvement.
+
+![results](results.png)
+
+| config name | NWP | Live PV | Satellite |
+|-------------|-----|---------|-----------|
+| uk_pv_sat_no_pv | x | | x |
+| uk_pv_no_pv | x | | |
+| uk_pv_sat | x | x | x |
+| uk_pv | x | x | |
+
+
+We don't believe Satellite data adds any value to model after ~2 hours when we include live PV data. 
+
+
diff --git a/exp_reports/013_satellite/results.png b/exp_reports/013_satellite/results.png
new file mode 100644
index 00000000..cf58b1f0
Binary files /dev/null and b/exp_reports/013_satellite/results.png differ
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index c152b195..2cea34fc 100644
--- a/poetry.lock
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     {file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
@@ -4910,6 +4983,63 @@ others = ["lime"]
 plots = ["ipython", "matplotlib"]
 test = ["catboost", "lightgbm", "opencv-python", "pyod", "pyspark", "pytest", "pytest-cov", "pytest-mpl", "sentencepiece", "torch", "transformers", "xgboost"]
 
+[[package]]
+name = "shapely"
+version = "2.0.2"
+description = "Manipulation and analysis of geometric objects"
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "shapely-2.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dea9a0651333cf96ef5bb2035044e3ad6a54f87d90e50fe4c2636debf1b77abc"},
+    {file = "shapely-2.0.2-cp39-cp39-win32.whl", hash = "sha256:b8eb0a92f7b8c74f9d8fdd1b40d395113f59bd8132ca1348ebcc1f5aece94b96"},
+    {file = "shapely-2.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:794affd80ca0f2c536fc948a3afa90bd8fb61ebe37fe873483ae818e7f21def4"},
+    {file = "shapely-2.0.2.tar.gz", hash = "sha256:1713cc04c171baffc5b259ba8531c58acc2a301707b7f021d88a15ed090649e7"},
+]
+
+[package.dependencies]
+numpy = ">=1.14"
+
+[package.extras]
+docs = ["matplotlib", "numpydoc (==1.1.*)", "sphinx", "sphinx-book-theme", "sphinx-remove-toctrees"]
+test = ["pytest", "pytest-cov"]
+
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -6030,4 +6160,4 @@ torch = ["torch"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10,<3.12"
-content-hash = "00f1fd1fffcb9b3aca6a5420b130fbd05199da2c9b0ea2724da723d2feec2407"
+content-hash = "401832a8810aaf4ab5a984435718072b091284135535dcb964ab616d04211ec4"
diff --git a/psp/data_sources/nwp.py b/psp/data_sources/nwp.py
index 2ee7c57c..1395123c 100644
--- a/psp/data_sources/nwp.py
+++ b/psp/data_sources/nwp.py
@@ -1,72 +1,20 @@
 import datetime as dt
+import logging
 import pathlib
 import pickle
-from typing import Optional, TypeVar
+from typing import Optional
 
 # This import registers a codec.
 import ocf_blosc2  # noqa
 import xarray as xr
 
+from psp.data_sources.utils import _STEP, _TIME, _VALUE, _VARIABLE, _X, _Y, slice_on_lat_lon
 from psp.gis import CoordinateTransformer
 from psp.typings import Timestamp
 from psp.utils.dates import to_pydatetime
 from psp.utils.hashing import naive_hash
 
-T = TypeVar("T", bound=xr.Dataset | xr.DataArray)
-
-_X = "x"
-_Y = "y"
-_TIME = "time"
-_STEP = "step"
-_VARIABLE = "variable"
-_VALUE = "value"
-
-
-def _slice_on_lat_lon(
-    data: T,
-    *,
-    min_lat: float | None = None,
-    max_lat: float | None = None,
-    min_lon: float | None = None,
-    max_lon: float | None = None,
-    nearest_lat: float | None = None,
-    nearest_lon: float | None = None,
-    transformer: CoordinateTransformer,
-    x_is_ascending: bool,
-    y_is_ascending: bool,
-) -> T:
-    # Only allow `None` values for lat/lon if they are all None (in which case we don't filter
-    # by lat/lon).
-    num_none = sum([x is None for x in [min_lat, max_lat, min_lon, max_lon]])
-    assert num_none in [0, 4]
-
-    if min_lat is not None:
-        assert min_lat is not None
-        assert min_lon is not None
-        assert max_lat is not None
-        assert max_lon is not None
-
-        assert max_lat >= min_lat
-        assert max_lon >= min_lon
-
-        point1, point2 = transformer([(min_lat, min_lon), (max_lat, max_lon)])
-        min_x, min_y = point1
-        max_x, max_y = point2
-
-        if not x_is_ascending:
-            min_x, max_x = max_x, min_x
-        if not y_is_ascending:
-            min_y, max_y = max_y, min_y
-
-        # Type ignore because this is still simpler than addin some `@overload`.
-        return data.sel(x=slice(min_x, max_x), y=slice(min_y, max_y))  # type: ignore
-
-    elif nearest_lat is not None and nearest_lon is not None:
-        ((x, y),) = transformer([(nearest_lat, nearest_lon)])
-
-        return data.sel(x=x, y=y, method="nearest")  # type: ignore
-
-    return data
+_log = logging.getLogger(__name__)
 
 
 class NwpDataSource:
@@ -90,8 +38,9 @@ def __init__(
         y_is_ascending: bool = True,
         cache_dir: str | None = None,
         lag_minutes: float = 0.0,
-        nwp_tolerance: Optional[str] = None,
-        nwp_variables: Optional[list[str]] = None,
+        tolerance: Optional[str] = None,
+        variables: Optional[list[str]] = None,
+        filter_on_step: Optional[bool] = True,
     ):
         """
         Arguments:
@@ -115,6 +64,7 @@ def __init__(
         nwp_tolerance: How old should the NWP predictions be before we start ignoring them.
             See `NwpDataSource.get`'s documentation for details..
         nwp_variables: Only use this subset of NWP variables. Defaults to using all.
+
         """
         if isinstance(paths_or_data, str):
             paths_or_data = [paths_or_data]
@@ -140,17 +90,21 @@ def __init__(
 
         self._lag_minutes = lag_minutes
 
-        self._nwp_tolerance = nwp_tolerance
-        self._nwp_variables = nwp_variables
+        self._tolerance = tolerance
+        self._variables = variables
 
         self._data = self._prepare_data(raw_data)
+        self.raw_data = raw_data
 
         self._cache_dir = pathlib.Path(cache_dir) if cache_dir else None
 
         if self._cache_dir:
             self._cache_dir.mkdir(exist_ok=True)
 
+        self._filter_on_step = filter_on_step
+
     def _open(self, paths: list[str]) -> xr.Dataset:
+        _log.debug(f"Opening data {paths}")
         return xr.open_mfdataset(
             paths,
             engine="zarr",
@@ -176,8 +130,8 @@ def _prepare_data(self, data: xr.Dataset) -> xr.Dataset:
         data = data.rename(rename_map)
 
         # Filter data to keep only the variables in self._nwp_variables if it's not None
-        if self._nwp_variables is not None:
-            data = data.sel(variable=self._nwp_variables)
+        if self._variables is not None:
+            data = data.sel(variable=self._variables)
 
         return data
 
@@ -235,7 +189,7 @@ def get(
                 raise ValueError(f'Timestamp "{t}" should be after now={now}')
 
         # Only cache for nearest_* because lat/lon ranges could be big.
-        use_cache = self._cache_dir and (nearest_lon is not None or nearest_lat is not None)
+        use_cache = self._cache_dir
 
         data = None
 
@@ -246,6 +200,10 @@ def get(
                 now,
                 nearest_lat,
                 nearest_lon,
+                min_lat,
+                max_lat,
+                min_lon,
+                max_lon,
                 self._paths,
                 self._lag_minutes,
                 tolerance,
@@ -260,6 +218,7 @@ def get(
 
         # If it was not loaded from the cache, we load it from the original dataset.
         if data is None:
+
             data = self._get(
                 now=now,
                 timestamps=timestamps,
@@ -313,7 +272,7 @@ def _get(
             assert tolerance is not None
             return None
 
-        ds = _slice_on_lat_lon(
+        ds = slice_on_lat_lon(
             ds,
             min_lat=min_lat,
             max_lat=max_lat,
@@ -331,8 +290,9 @@ def _get(
         # How long after `time` do we need the predictions.
         deltas = [t - init_time for t in timestamps]
 
-        # Get the nearest prediction to what we are interested in.
-        ds = ds.sel(step=deltas, method="nearest")
+        if self._filter_on_step:
+            # Get the nearest prediction to what we are interested in.
+            ds = ds.sel(step=deltas, method="nearest")
 
         da = ds[_VALUE]
 
diff --git a/psp/data_sources/satellite.py b/psp/data_sources/satellite.py
new file mode 100644
index 00000000..ba9d03a0
--- /dev/null
+++ b/psp/data_sources/satellite.py
@@ -0,0 +1,63 @@
+import pyresample
+import xarray as xr
+
+from psp.data_sources.nwp import NwpDataSource
+from psp.data_sources.utils import _TIME, _VALUE, _VARIABLE, _X, _Y
+from psp.gis import CoordinateTransformer
+
+
+class SatelliteDataSource(NwpDataSource):
+    def __init__(self, *args, **kwargs):
+        super().__init__(
+            *args,
+            **kwargs,
+            filter_on_step=False,
+            x_dim_name="x_geostationary",
+            y_dim_name="y_geostationary",
+            value_name="data",
+        )
+
+        # Get the coordinate transformer.# get crs
+        area_definition_yaml = self._data.value.attrs["area"]
+        geostationary_area_definition = pyresample.area_config.load_area_from_string(
+            area_definition_yaml
+        )
+        geostationary_crs = geostationary_area_definition.crs
+
+        # Get the coordinate transformer, from lat/lon to geostationary.
+        self._coordinate_transformer = CoordinateTransformer(from_=4326, to=geostationary_crs)
+
+    def prepare_data(self, data: xr.Dataset) -> xr.Dataset:
+        # Rename the dimensions.
+        rename_map: dict[str, str] = {}
+        for old, new in zip(
+            [
+                self._x_dim_name,
+                self._y_dim_name,
+                self._time_dim_name,
+                self._variable_dim_name,
+                self._value_name,
+            ],
+            [_X, _Y, _TIME, _VARIABLE, _VALUE],
+        ):
+            if old != new:
+                rename_map[old] = new
+
+        data = data.rename(rename_map)
+
+        # Filter data to keep only the variables in self._nwp_variables if it's not None
+        if self._variables is not None:
+            data = data.sel(variable=self._variables)
+
+        return data
+
+    def _open(self, paths: list[str]) -> xr.Dataset:
+        d = xr.open_mfdataset(
+            paths,
+            engine="zarr",
+            concat_dim="time",
+            combine="nested",
+            chunks="auto",
+            join="override",
+        )
+        return d
diff --git a/psp/data_sources/utils.py b/psp/data_sources/utils.py
new file mode 100644
index 00000000..7637dda4
--- /dev/null
+++ b/psp/data_sources/utils.py
@@ -0,0 +1,86 @@
+from typing import TypeVar
+
+import xarray as xr
+
+from psp.gis import CoordinateTransformer
+
+_X = "x"
+_Y = "y"
+_TIME = "time"
+_STEP = "step"
+_VARIABLE = "variable"
+_VALUE = "value"
+
+T = TypeVar("T", bound=xr.Dataset | xr.DataArray)
+
+
+def slice_on_lat_lon(
+    data: T,
+    *,
+    min_lat: float | None = None,
+    max_lat: float | None = None,
+    min_lon: float | None = None,
+    max_lon: float | None = None,
+    nearest_lat: float | None = None,
+    nearest_lon: float | None = None,
+    transformer: CoordinateTransformer,
+    x_is_ascending: bool,
+    y_is_ascending: bool,
+) -> T:
+    """
+    Slice the data on lat/lon
+
+    Args:
+    ----
+        data: The data to slice
+        min_lat: The minimum latitude to slice on
+        max_lat: The maximum latitude to slice on
+        min_lon: The minimum longitude to slice on
+        max_lon: The maximum longitude to slice on
+        nearest_lat: The latitude to slice on
+        nearest_lon: The longitude to slice on
+        transformer: The transformer to use to convert lat/lon to x/y
+        x_is_ascending: Whether the x values are ascending
+        y_is_ascending: Whether the y values are ascending
+        do_average: Take average over the area, of x and y coordinates
+    """
+    # Only allow `None` values for lat/lon if they are all None (in which case we don't filter
+    # by lat/lon).
+    num_none = sum([x is None for x in [min_lat, max_lat, min_lon, max_lon]])
+    assert num_none in [0, 4]
+
+    if min_lat is not None:
+        assert min_lat is not None
+        assert min_lon is not None
+        assert max_lat is not None
+        assert max_lon is not None
+
+        assert max_lat >= min_lat
+        assert max_lon >= min_lon
+
+        # This looks funny because when going from lat/lon to osgb we have to use
+        # (x, y) = transformer([(lat, lon)])
+        # however for lat/lon to geostationary we have to use
+        # (x_geo, y_geo) = transformer([(lon, lat)])
+
+        points = [(min_lat, min_lon), (max_lat, max_lon)]
+        point1, point2 = transformer(points)
+        min_x, min_y = point1
+        max_x, max_y = point2
+
+        if not x_is_ascending:
+            min_x, max_x = max_x, min_x
+        if not y_is_ascending:
+            min_y, max_y = max_y, min_y
+
+        new_data = data.sel(x=slice(min_x, max_x), y=slice(min_y, max_y))
+
+        # Type ignore because this is still simpler than adding some `@overload`.
+        return new_data  # type: ignore
+
+    elif nearest_lat is not None and nearest_lon is not None:
+        ((x, y),) = transformer([(nearest_lat, nearest_lon)])
+
+        return data.sel(x=x, y=y, method="nearest")  # type: ignore
+
+    return data
diff --git a/psp/exp_configs/island.py b/psp/exp_configs/island.py
index 34781d2c..54243660 100644
--- a/psp/exp_configs/island.py
+++ b/psp/exp_configs/island.py
@@ -51,7 +51,7 @@ def get_data_source_kwargs(self):
                     x_dim_name="latitude",
                     y_dim_name="longitude",
                     x_is_ascending=False,
-                    nwp_tolerance=None,
+                    tolerance=None,
                 ),
                 "EXC": NwpDataSource(
                     EXC_PATH,
@@ -62,7 +62,7 @@ def get_data_source_kwargs(self):
                     x_is_ascending=True,
                     y_is_ascending=True,
                     lag_minutes=8 * 60,
-                    nwp_tolerance=None,
+                    tolerance=None,
                 ),
             },
         )
diff --git a/psp/exp_configs/mone.py b/psp/exp_configs/mone.py
index 33db7389..dd236b79 100644
--- a/psp/exp_configs/mone.py
+++ b/psp/exp_configs/mone.py
@@ -51,7 +51,7 @@ def get_data_source_kwargs(self):
                     value_name="UKV",
                     y_is_ascending=False,
                     # Those are the variables available in our prod environment.
-                    nwp_variables=[
+                    variables=[
                         "si10",
                         "vis",
                         # "r2",
@@ -64,7 +64,7 @@ def get_data_source_kwargs(self):
                         "mcc",
                         "lcc",
                     ],
-                    nwp_tolerance="168h",
+                    tolerance="168h",
                 ),
                 "EXC": NwpDataSource(
                     EXC_PATH,
@@ -75,7 +75,7 @@ def get_data_source_kwargs(self):
                     x_is_ascending=True,
                     y_is_ascending=True,
                     lag_minutes=8 * 60,
-                    nwp_tolerance=None,
+                    tolerance=None,
                 ),
             },
         )
diff --git a/psp/exp_configs/sme.py b/psp/exp_configs/sme.py
index a37578e6..3df18ea4 100644
--- a/psp/exp_configs/sme.py
+++ b/psp/exp_configs/sme.py
@@ -69,7 +69,7 @@ def get_data_source_kwargs(self):
                     value_name="UKV",
                     y_is_ascending=False,
                     # Those are the variables available in our prod environment.
-                    nwp_variables=[
+                    variables=[
                         "si10",
                         "vis",
                         # "r2",
@@ -82,7 +82,7 @@ def get_data_source_kwargs(self):
                         "mcc",
                         "lcc",
                     ],
-                    nwp_tolerance="168h",
+                    tolerance="168h",
                     lag_minutes=4 * 60,
                 ),
                 "EXC": NwpDataSource(
@@ -94,7 +94,7 @@ def get_data_source_kwargs(self):
                     x_is_ascending=True,
                     y_is_ascending=True,
                     lag_minutes=7 * 60,
-                    nwp_tolerance="168h",
+                    tolerance="168h",
                 ),
                 "ECMWF": NwpDataSource(
                     ECMWF_PATH,
@@ -106,7 +106,7 @@ def get_data_source_kwargs(self):
                     x_is_ascending=True,
                     y_is_ascending=False,
                     lag_minutes=6 * 60,
-                    nwp_tolerance="168h",
+                    tolerance="168h",
                 ),
             },
         )
diff --git a/psp/exp_configs/test_config1.py b/psp/exp_configs/test_config1.py
index 63f86d21..1a21d0ca 100644
--- a/psp/exp_configs/test_config1.py
+++ b/psp/exp_configs/test_config1.py
@@ -7,6 +7,7 @@
 
 from psp.data_sources.nwp import NwpDataSource
 from psp.data_sources.pv import NetcdfPvDataSource, PvDataSource
+from psp.data_sources.satellite import SatelliteDataSource
 from psp.dataset import DateSplits, PvSplits, TestDateSplit, TrainDateSplit
 from psp.exp_configs.base import ExpConfigBase
 from psp.models.base import PvSiteModel, PvSiteModelConfig
@@ -16,6 +17,7 @@
 
 PV_DATA_PATH = "psp/tests/fixtures/pv_data.nc"
 NWP_PATH = "psp/tests/fixtures/nwp.zarr"
+SATELLITE_PATH = "psp/tests/fixtures/satellite.zarr"
 
 
 def _get_capacity(d):
@@ -48,6 +50,12 @@ def get_data_source_kwargs(self):
                     y_is_ascending=False,
                 ),
             },
+            satellite_data_sources={
+                "EUMETSAT": SatelliteDataSource(
+                    SATELLITE_PATH,
+                    x_is_ascending=False,
+                ),
+            },
         )
 
     def get_model_config(self):
@@ -68,7 +76,8 @@ def get_model(self, *, random_state: np.random.RandomState | None = None) -> PvS
             # Make sure the NWP data is used by adding a lot of dropout on the PV data.
             pv_dropout=0.9,
             capacity_getter=_get_capacity,
-            nwp_dropout=0.0
+            nwp_dropout=0.0,
+            satellite_patch_size=0.5,
         )
 
     def make_pv_splits(self, pv_data_source: PvDataSource) -> PvSplits:
diff --git a/psp/exp_configs/uk_pv.py b/psp/exp_configs/uk_pv.py
index afd24b5b..0b7608d9 100644
--- a/psp/exp_configs/uk_pv.py
+++ b/psp/exp_configs/uk_pv.py
@@ -6,6 +6,7 @@
 
 from psp.data_sources.nwp import NwpDataSource
 from psp.data_sources.pv import NetcdfPvDataSource, PvDataSource
+from psp.data_sources.satellite import SatelliteDataSource
 from psp.dataset import PvSplits, auto_date_split, split_pvs
 from psp.exp_configs.base import ExpConfigBase
 from psp.models.base import PvSiteModel, PvSiteModelConfig
@@ -26,6 +27,13 @@
     for year in range(2018, 2022)
 ]
 
+SATELLITE_DATA_PATHS = [
+    (
+        f"gs://public-datasets-eumetsat-solar-forecasting/satellite/EUMETSAT/SEVIRI_RSS/v4/{year}_nonhrv.zarr"
+    )
+    for year in range(2018, 2022)
+]
+
 # A list of SS_ID that don't contain enough data.
 # I just didn't want to calculate them everytime.
 # TODO Get rid of those when we prepare the dataset.
@@ -187,7 +195,7 @@ def get_data_source_kwargs(self):
                     y_is_ascending=False,
                     # cache_dir=".nwp_cache",
                     # Those are the variables available in our prod environment.
-                    nwp_variables=[
+                    variables=[
                         "si10",
                         "vis",
                         # "r2",
@@ -202,6 +210,12 @@ def get_data_source_kwargs(self):
                     ],
                 ),
             },
+            satellite_data_sources={
+                "EUMETSAT": SatelliteDataSource(
+                    SATELLITE_DATA_PATHS,
+                    x_is_ascending=False,
+                ),
+            },
         )
 
     def _get_model_config(self) -> PvSiteModelConfig:
diff --git a/psp/exp_configs/uk_pv_prod.py b/psp/exp_configs/uk_pv_prod.py
index 5aaf47d7..fa83d7a4 100644
--- a/psp/exp_configs/uk_pv_prod.py
+++ b/psp/exp_configs/uk_pv_prod.py
@@ -181,6 +181,7 @@ def get_pv_data_source(self):
     def get_data_source_kwargs(self):
         return dict(
             pv_data_source=self.get_pv_data_source(),
+            # add new satelite here
             nwp_data_source={
                 "UKV": NwpDataSource(
                     NWP_DATA_PATHS,
@@ -190,7 +191,7 @@ def get_data_source_kwargs(self):
                     y_is_ascending=False,
                     cache_dir=".nwp_cache",
                     # Those are the variables available in our prod environment.
-                    nwp_variables=[
+                    variables=[
                         "si10",
                         "vis",
                         # "r2",
@@ -228,19 +229,17 @@ def get_model(self, *, random_state: np.random.RandomState | None = None) -> PvS
     def make_pv_splits(self, pv_data_source: PvDataSource) -> PvSplits:
         return split_pvs(pv_data_source)
 
-    def get_date_splits(self):
+    def get_date_splits(self, step_minutes: int = 1) -> DateSplits:
         # Train 2 models, one at the beginning of the test range, and one 1 month before the end.
         # The last one is the one we'll use in production.
         return DateSplits(
             train_date_splits=[
-                TrainDateSplit(
-                    train_date=date,
-                    train_days=365 * 2,
-                )
+                TrainDateSplit(train_date=date, train_days=365 * 2, step_minutes=15)
                 for date in [dt.datetime(2020, 1, 1), dt.datetime(2021, 10, 8)]
             ],
             test_date_split=TestDateSplit(
                 start_date=dt.datetime(2020, 1, 1),
                 end_date=dt.datetime(2021, 11, 8),
+                step_minutes=step_minutes,
             ),
         )
diff --git a/psp/models/recent_history.py b/psp/models/recent_history.py
index fd630348..4cf0911f 100644
--- a/psp/models/recent_history.py
+++ b/psp/models/recent_history.py
@@ -10,6 +10,7 @@
 
 from psp.data_sources.nwp import NwpDataSource
 from psp.data_sources.pv import PvDataSource
+from psp.data_sources.satellite import SatelliteDataSource
 from psp.models.base import PvSiteModel, PvSiteModelConfig
 from psp.models.regressors.base import Regressor
 from psp.pv import get_irradiance
@@ -125,6 +126,7 @@ def __init__(
         *,
         pv_data_source: PvDataSource,
         nwp_data_sources: dict[str, NwpDataSource],
+        satellite_data_sources: dict[str, SatelliteDataSource] | None = None,
         regressor: Regressor,
         random_state: np.random.RandomState | None = None,
         pv_dropout: float = 0.0,
@@ -136,6 +138,9 @@ def __init__(
         num_days_history: int = 7,
         nwp_dropout: float = 0.1,
         nwp_tolerance: Optional[float] = None,
+        satellite_dropout: float = 0.1,
+        satellite_tolerance: Optional[float] = None,
+        satellite_patch_size: float = 0.25,
     ):
         """
         Arguments:
@@ -156,7 +161,11 @@ def __init__(
         nwp_dropout: Probability of removing the NWP data (replacing it with np.nan).
             This is only used at train-time.
         nwp_tolerance: How old should the NWP predictions be before we start ignoring them.
-            See `NwpDataSource.get`'s documentation for details..
+            See `NwpDataSource.get`'s documentation for details.
+        satellite_dropout: Probability of removing the satellite data (replacing it with np.nan).
+        satellite_tolerance: How old should the satellite predictions be before
+            we start ignoring them.
+        satellite_patch_size: Size of the patch to use for the satellite data. This is in degrees.
         """
         super().__init__(config)
         # Validate some options.
@@ -168,6 +177,7 @@ def __init__(
 
         self._pv_data_source: PvDataSource
         self._nwp_data_sources: dict[str, NwpDataSource] | None
+        self._satellite_data_sources: dict[str, SatelliteDataSource] | None
 
         self._regressor = regressor
         self._random_state = random_state
@@ -187,10 +197,14 @@ def __init__(
 
         self._nwp_dropout = nwp_dropout
         self._nwp_tolerance = nwp_tolerance
+        self._satellite_dropout = satellite_dropout
+        self._satellite_tolerance = satellite_tolerance
+        self._satellite_patch_size = satellite_patch_size
 
         self.set_data_sources(
             pv_data_source=pv_data_source,
             nwp_data_sources=nwp_data_sources,
+            sat_data_sources=satellite_data_sources,
         )
 
         # We bump this when we make backward-incompatible changes in the code, to support old
@@ -204,6 +218,7 @@ def set_data_sources(
         *,
         pv_data_source: PvDataSource,
         nwp_data_sources: dict[str, NwpDataSource] | None = None,
+        sat_data_sources: dict[str, SatelliteDataSource] | None = None,
     ):
         """Set the data sources.
 
@@ -211,14 +226,24 @@ def set_data_sources(
         """
         self._pv_data_source = pv_data_source
         self._nwp_data_sources = nwp_data_sources
+        self._satellite_data_sources = sat_data_sources
 
         # This ensures the nwp fixture passed for the test is a dictionary
         if isinstance(self._nwp_data_sources, dict) or self._nwp_data_sources is None:
             pass
-
         else:
             self._nwp_data_sources = dict(nwp_data_source=self._nwp_data_sources)
 
+        # this make sure the satellite data is a dictionary
+        if (self._satellite_data_sources is not None) and (
+            not isinstance(self._satellite_data_sources, dict)
+        ):
+            self._satellite_data_sources = dict(sat_data_source=self._satellite_data_sources)
+
+        # set this attribute so it works for older models
+        if not hasattr(self, "_satellite_patch_size"):
+            self._nwp_patch_size = 0
+
     def predict_from_features(self, x: X, features: Features) -> Y:
         powers = self._regressor.predict(features)
         y = Y(powers=powers)
@@ -356,9 +381,8 @@ def _get_features(self, x: X, is_training: bool) -> Features:
 
         if self._nwp_data_sources is not None:
             for source_key, source in self._nwp_data_sources.items():
-
-                if source._nwp_tolerance is not None:
-                    tolerance = str(source._nwp_tolerance)
+                if source._tolerance is not None:
+                    tolerance = str(source._tolerance)
                 else:
                     tolerance = None
 
@@ -406,6 +430,90 @@ def _get_features(self, x: X, is_training: bool) -> Features:
                     features[variable_source_key] = var_per_horizon
                     features[variable_source_key + "_isnan"] = var_per_horizon_is_nan
 
+        # add another section here fore getting the satellite data
+        if self._satellite_data_sources is not None:
+
+            # add the forecast horizon to the features. This is because the satellite data is
+            # only available for the current time step, but not as a forecast, compared to NWP
+            # which are available at all timesteps
+            # not each horizon is the start and end horizon
+            feature_forecast_horizons = []
+            for horizon in self.config.horizons:
+                feature_forecast_horizons.append((horizon[0] + horizon[1]) / 2.0)
+            features["forecast_horizons"] = np.array(feature_forecast_horizons)
+
+            # loop over satellite sources
+            for source_key, source in self._satellite_data_sources.items():
+                if source._tolerance is not None:
+                    tolerance = str(source._tolerance)
+                else:
+                    tolerance = None
+
+                if (
+                    is_training
+                    and self._nwp_dropout > 0.0
+                    and self._random_state is not None
+                    and self._random_state.random() < self._satellite_dropout
+                ):
+                    satellite_data = None
+                else:
+
+                    if self._satellite_patch_size > 0:
+                        satellite_data = source.get(
+                            now=x.ts,
+                            timestamps=horizon_timestamps,
+                            min_lat=lat - self._satellite_patch_size / 2,
+                            max_lat=lat + self._satellite_patch_size / 2,
+                            min_lon=lon - self._satellite_patch_size / 2,
+                            max_lon=lon + self._satellite_patch_size / 2,
+                            nearest_lon=lon,
+                            tolerance=tolerance,
+                        )
+
+                        # take mean over x and y
+                        if satellite_data is not None:
+                            satellite_data = satellite_data.mean(dim=["x", "y"])
+
+                    else:
+                        satellite_data = source.get(
+                            now=x.ts,
+                            timestamps=horizon_timestamps,
+                            nearest_lat=lat,
+                            nearest_lon=lon,
+                            tolerance=tolerance,
+                        )
+                satellite_variables = source.list_variables()
+
+                for variable in satellite_variables:
+                    # Deal with the trivial case where the returns Satellite is simply `None`.
+                    # This happens if there wasn't any data for the given tolerance.
+                    if satellite_data is not None:
+                        var = satellite_data.sel(variable=variable).values
+
+                        # expand satellite data to all time steps
+                        var_per_horizon = np.array([var for _ in self.config.horizons])
+
+                    else:
+                        var_per_horizon = np.array([np.nan for _ in self.config.horizons])
+
+                    # Deal with potential NaN values in NWP.
+                    var_per_horizon_is_nan = np.isnan(var_per_horizon) * 1.0
+                    var_per_horizon = np.nan_to_num(
+                        var_per_horizon, nan=0.0, posinf=0.0, neginf=0.0
+                    )
+
+                    # We only want to append the name of the Satellite variable to include the
+                    # provider
+                    # if there are multiple Satellite data sources
+                    if len(self._satellite_data_sources) > 1:
+                        variable_source_key = variable + source_key
+
+                    else:
+                        variable_source_key = variable
+
+                    features[variable_source_key] = var_per_horizon
+                    features[variable_source_key + "_isnan"] = var_per_horizon_is_nan
+
         # Get the recent power.
         recent_power = float(
             data.sel(ts=slice(x.ts - timedelta(minutes=recent_power_minutes), x.ts)).mean()
@@ -486,6 +594,7 @@ def get_state(self):
         # for multiprocessing.
         del state["_pv_data_source"]
         del state["_nwp_data_sources"]
+        del state["_satellite_data_sources"]
         return state
 
     def set_state(self, state):
diff --git a/psp/tests/conftest.py b/psp/tests/conftest.py
index da0ed12a..e93c3802 100644
--- a/psp/tests/conftest.py
+++ b/psp/tests/conftest.py
@@ -2,6 +2,7 @@
 
 from psp.data_sources.nwp import NwpDataSource
 from psp.data_sources.pv import NetcdfPvDataSource
+from psp.data_sources.satellite import SatelliteDataSource
 
 
 @pytest.fixture
@@ -36,3 +37,13 @@ def nwp_data_sources(pv_data_source):
             y_is_ascending=False,
         ),
     }
+
+
+@pytest.fixture
+def satellite_data_sources(pv_data_source):
+    return {
+        "EUMETSAT": SatelliteDataSource(
+            "psp/tests/fixtures/satellite.zarr",
+            x_is_ascending=False,
+        ),
+    }
diff --git a/psp/tests/data/data_sources/test_nwp_data_source.py b/psp/tests/data/data_sources/test_nwp_data_source.py
index b180f9d3..7370a95c 100644
--- a/psp/tests/data/data_sources/test_nwp_data_source.py
+++ b/psp/tests/data/data_sources/test_nwp_data_source.py
@@ -157,7 +157,6 @@ def test_nwp_data_source_check_times_many_steps(
     ],
 )
 def test_nwp_data_source_space(reverse_x, reverse_y, lat, lon, expected_size, nwp_data_sources):
-
     # Reverse the data order and see if our flag words.
     if reverse_x:
         nwp_data_sources._data = nwp_data_sources._data.sortby("x", ascending=False)
diff --git a/psp/tests/data/data_sources/test_satellite_data_source.py b/psp/tests/data/data_sources/test_satellite_data_source.py
new file mode 100644
index 00000000..317e9630
--- /dev/null
+++ b/psp/tests/data/data_sources/test_satellite_data_source.py
@@ -0,0 +1,38 @@
+from datetime import datetime
+
+import ocf_blosc2  # noqa
+import xarray as xr
+
+from psp.data_sources.satellite import SatelliteDataSource
+
+
+def test_satellite_data_source():
+    """Test loading the satellite data
+
+    Note this test uses the satellite public dataset to get this data.
+    It can take about 30 seconds to run
+
+    """
+    # this is for the google datasets
+    paths = [
+        "gs://public-datasets-eumetsat-solar-forecasting/satellite/EUMETSAT/SEVIRI_RSS/v4/2021_nonhrv.zarr"
+    ]
+
+    sat = SatelliteDataSource(paths_or_data=paths, x_is_ascending=False)
+
+    now = datetime(2021, 2, 1)
+    lat = 50
+    lon = 0
+
+    example = sat.get(now=now, timestamps=[now], nearest_lat=lat, nearest_lon=lon)
+
+    assert isinstance(example, xr.DataArray)
+    assert example.x.size > 0
+    assert example.y.size > 0
+
+    example = sat.get(
+        now=now, timestamps=[now], max_lat=lat + 1, min_lat=lat, max_lon=lon + 1, min_lon=lon
+    )
+    assert isinstance(example, xr.DataArray)
+    assert example.x.size > 0
+    assert example.y.size > 0
diff --git a/psp/tests/data/data_sources/test_utils.py b/psp/tests/data/data_sources/test_utils.py
new file mode 100644
index 00000000..7a873126
--- /dev/null
+++ b/psp/tests/data/data_sources/test_utils.py
@@ -0,0 +1,41 @@
+from psp.data_sources.utils import slice_on_lat_lon
+from psp.gis import CoordinateTransformer
+
+
+def test_slice_on_max_min(nwp_data_sources):
+
+    transformer = CoordinateTransformer(from_=4326, to=27700)
+
+    data = nwp_data_sources["UKV"]._data
+    print(data)
+    new_data = slice_on_lat_lon(
+        data=data,
+        max_lat=55,
+        min_lat=48,
+        max_lon=-1,
+        min_lon=-4,
+        transformer=transformer,
+        y_is_ascending=False,
+        x_is_ascending=True,
+    )
+
+    assert new_data.x.size == 2
+    assert new_data.y.size == 2
+
+
+def test_slice_on_nearest(nwp_data_sources):
+
+    transformer = CoordinateTransformer(from_=4326, to=27700)
+
+    data = nwp_data_sources["UKV"]._data
+    new_data = slice_on_lat_lon(
+        data=data,
+        nearest_lat=52,
+        nearest_lon=-2,
+        transformer=transformer,
+        y_is_ascending=False,
+        x_is_ascending=True,
+    )
+
+    assert new_data.x.size == 1
+    assert new_data.y.size == 1
diff --git a/psp/tests/fixtures/README.md b/psp/tests/fixtures/README.md
index ffab29c0..cf5ee5d9 100644
--- a/psp/tests/fixtures/README.md
+++ b/psp/tests/fixtures/README.md
@@ -8,7 +8,7 @@ import datetime as dt
 import ocf_blosc2
 import xarray as xr
 
-from psp.data_sources.nwp import _slice_on_lat_lon
+from psp.data_sources.utils import slice_on_lat_lon
 from psp.gis import CoordinateTransformer
 
 nwp = xr.open_dataset(
@@ -16,7 +16,7 @@ nwp = xr.open_dataset(
     "/UK_Met_Office/UKV/zarr/UKV_2020_NWP.zarr"
 )
 
-nwp = _slice_on_lat_lon(
+nwp = slice_on_lat_lon(
     nwp,
     min_lat=51.1,
     max_lat=53.7,
@@ -52,3 +52,49 @@ nwp.to_zarr(
     encoding={"UKV": {"chunks": [chunks[d] for d in nwp.dims]}},
 )
 ```
+
+The satellite data has been generated with
+```python
+import datetime as dt
+
+import ocf_blosc2
+import xarray as xr
+from psp.data_sources.satellite import SatelliteDataSource
+from psp.data_sources.utils import slice_on_lat_lon
+from psp.gis import CoordinateTransformer
+
+paths = [
+    "gs://public-datasets-eumetsat-solar-forecasting/satellite/EUMETSAT/SEVIRI_RSS/v4/2020_nonhrv.zarr"
+]
+
+sat = SatelliteDataSource(paths_or_data=paths, x_is_ascending=False)
+
+x_min, y_min = sat.lonlat_to_geostationary(xx=-3.3, yy=51.1)
+x_max, y_max = sat.lonlat_to_geostationary(xx=-2.7, yy=53.7)
+d = sat._data
+sat = sat._data
+
+
+sat = sat.sel(variable=["IR_016", "IR_039", "IR_087", "IR_097"])
+
+sat = sat.sel(x=slice(x_max, x_min))
+sat = sat.sel(y=slice(y_min, y_max))
+sat = sat.sel(time=slice(dt.datetime(2020, 1, 1), dt.datetime(2020, 1, 14)))
+
+
+# rename back to old variables
+sat = sat.rename({'x':'x_geostationary', 'y':'y_geostationary', 'value':'data'})
+
+chunks = {
+    "time": -1,
+    "x_geostationary": -1,
+    "y_geostationary": -1,
+    "variable": -1,
+}
+
+sat.to_zarr(
+    "psp/tests/fixtures/satellite.zarr",
+    mode="w",
+    encoding={"data": {"chunks": [chunks[d] for d in sat.dims]}},
+)
+```
\ No newline at end of file
diff --git a/psp/tests/fixtures/models/model_v9.pkl b/psp/tests/fixtures/models/model_v9.pkl
new file mode 100644
index 00000000..ae3339d1
Binary files /dev/null and b/psp/tests/fixtures/models/model_v9.pkl differ
diff --git a/psp/tests/fixtures/satellite.zarr/.zattrs b/psp/tests/fixtures/satellite.zarr/.zattrs
new file mode 100644
index 00000000..9e26dfee
--- /dev/null
+++ b/psp/tests/fixtures/satellite.zarr/.zattrs
@@ -0,0 +1 @@
+{}
\ No newline at end of file
diff --git a/psp/tests/fixtures/satellite.zarr/.zgroup b/psp/tests/fixtures/satellite.zarr/.zgroup
new file mode 100644
index 00000000..3b7daf22
--- /dev/null
+++ b/psp/tests/fixtures/satellite.zarr/.zgroup
@@ -0,0 +1,3 @@
+{
+    "zarr_format": 2
+}
\ No newline at end of file
diff --git a/psp/tests/fixtures/satellite.zarr/.zmetadata b/psp/tests/fixtures/satellite.zarr/.zmetadata
new file mode 100644
index 00000000..d3eea187
--- /dev/null
+++ b/psp/tests/fixtures/satellite.zarr/.zmetadata
@@ -0,0 +1,408 @@
+{
+    "metadata": {
+        ".zattrs": {},
+        ".zgroup": {
+            "zarr_format": 2
+        },
+        "data/.zarray": {
+            "chunks": [
+                1549,
+                45,
+                30,
+                4
+            ],
+            "compressor": {
+                "blocksize": 0,
+                "clevel": 5,
+                "cname": "lz4",
+                "id": "blosc",
+                "shuffle": 1
+            },
+            "dtype": "<f2",
+            "fill_value": "NaN",
+            "filters": null,
+            "order": "C",
+            "shape": [
+                1549,
+                45,
+                30,
+                4
+            ],
+            "zarr_format": 2
+        },
+        "data/.zattrs": {
+            "IR_016__satpy_id": "!!python/object/apply:satpy.dataset.dataid._unpickle\n- calibration:\n    enum:\n    - reflectance\n    - brightness_temperature\n    - radiance\n    - counts\n    transitive: true\n  modifiers:\n    default: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n    - !!python/tuple []\n    type: !!python/name:satpy.dataset.dataid.ModifierTuple ''\n  name:\n    required: true\n  resolution:\n    transitive: false\n  wavelength:\n    type: !!python/name:satpy.dataset.dataid.WavelengthRange ''\n- calibration: reflectance\n  modifiers: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n  - !!python/tuple []\n  name: IR_016\n  resolution: 3000.403165817\n  wavelength: !!python/object/new:satpy.dataset.dataid.WavelengthRange\n  - 1.5\n  - 1.64\n  - 1.78\n  - \"\\xB5m\"\n",
+            "IR_016_ancillary_variables": [],
+            "IR_016_area": "msg_seviri_rss_3km:\n  description: MSG SEVIRI Rapid Scanning Service area definition with 3 km resolution\n  projection:\n    proj: geos\n    lon_0: 9.5\n    h: 35785831\n    x_0: 0\n    y_0: 0\n    a: 6378169\n    rf: 295.488065897014\n    no_defs: null\n    type: crs\n  shape:\n    height: 1392\n    width: 3712\n  area_extent:\n    lower_left_xy: [5567248.074173927, 5570248.477339745]\n    upper_right_xy: [-5570248.477339745, 1393687.2705221176]\n    units: m\n",
+            "IR_016_calibration": "reflectance",
+            "IR_016_end_time": "2020-01-01T00:00:07.676580",
+            "IR_016_georef_offset_corrected": "True",
+            "IR_016_modifiers": [],
+            "IR_016_name": "IR_016",
+            "IR_016_orbital_parameters": "projection_altitude: 35785831.0\nprojection_latitude: 0.0\nprojection_longitude: 9.5\nsatellite_actual_altitude: 35785194.01716657\nsatellite_actual_latitude: 0.9667690739053058\nsatellite_actual_longitude: 9.345990336803867\nsatellite_nominal_latitude: 0.0\nsatellite_nominal_longitude: 9.5\n",
+            "IR_016_platform_name": "Meteosat-10",
+            "IR_016_reader": "seviri_l1b_native",
+            "IR_016_resolution": 3000.403165817,
+            "IR_016_sensor": "seviri",
+            "IR_016_standard_name": "toa_bidirectional_reflectance",
+            "IR_016_start_time": "2019-12-31T23:55:07.772388",
+            "IR_016_sun_earth_distance_correction_applied": "True",
+            "IR_016_sun_earth_distance_correction_factor": 0.9666341924425861,
+            "IR_016_units": "%",
+            "IR_016_wavelength": [
+                1.5,
+                1.64,
+                1.78,
+                "\u00b5m"
+            ],
+            "IR_039__satpy_id": "!!python/object/apply:satpy.dataset.dataid._unpickle\n- calibration:\n    enum:\n    - reflectance\n    - brightness_temperature\n    - radiance\n    - counts\n    transitive: true\n  modifiers:\n    default: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n    - !!python/tuple []\n    type: !!python/name:satpy.dataset.dataid.ModifierTuple ''\n  name:\n    required: true\n  resolution:\n    transitive: false\n  wavelength:\n    type: !!python/name:satpy.dataset.dataid.WavelengthRange ''\n- calibration: brightness_temperature\n  modifiers: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n  - !!python/tuple []\n  name: IR_039\n  resolution: 3000.403165817\n  wavelength: !!python/object/new:satpy.dataset.dataid.WavelengthRange\n  - 3.48\n  - 3.92\n  - 4.36\n  - \"\\xB5m\"\n",
+            "IR_039_ancillary_variables": [],
+            "IR_039_area": "msg_seviri_rss_3km:\n  description: MSG SEVIRI Rapid Scanning Service area definition with 3 km resolution\n  projection:\n    proj: geos\n    lon_0: 9.5\n    h: 35785831\n    x_0: 0\n    y_0: 0\n    a: 6378169\n    rf: 295.488065897014\n    no_defs: null\n    type: crs\n  shape:\n    height: 1392\n    width: 3712\n  area_extent:\n    lower_left_xy: [5567248.074173927, 5570248.477339745]\n    upper_right_xy: [-5570248.477339745, 1393687.2705221176]\n    units: m\n",
+            "IR_039_calibration": "brightness_temperature",
+            "IR_039_end_time": "2020-01-01T00:00:07.676580",
+            "IR_039_georef_offset_corrected": "True",
+            "IR_039_modifiers": [],
+            "IR_039_name": "IR_039",
+            "IR_039_orbital_parameters": "projection_altitude: 35785831.0\nprojection_latitude: 0.0\nprojection_longitude: 9.5\nsatellite_actual_altitude: 35785194.01716657\nsatellite_actual_latitude: 0.9667690739053058\nsatellite_actual_longitude: 9.345990336803867\nsatellite_nominal_latitude: 0.0\nsatellite_nominal_longitude: 9.5\n",
+            "IR_039_platform_name": "Meteosat-10",
+            "IR_039_reader": "seviri_l1b_native",
+            "IR_039_resolution": 3000.403165817,
+            "IR_039_sensor": "seviri",
+            "IR_039_standard_name": "toa_brightness_temperature",
+            "IR_039_start_time": "2019-12-31T23:55:07.772388",
+            "IR_039_units": "K",
+            "IR_039_wavelength": [
+                3.48,
+                3.92,
+                4.36,
+                "\u00b5m"
+            ],
+            "IR_087__satpy_id": "!!python/object/apply:satpy.dataset.dataid._unpickle\n- calibration:\n    enum:\n    - reflectance\n    - brightness_temperature\n    - radiance\n    - counts\n    transitive: true\n  modifiers:\n    default: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n    - !!python/tuple []\n    type: !!python/name:satpy.dataset.dataid.ModifierTuple ''\n  name:\n    required: true\n  resolution:\n    transitive: false\n  wavelength:\n    type: !!python/name:satpy.dataset.dataid.WavelengthRange ''\n- calibration: brightness_temperature\n  modifiers: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n  - !!python/tuple []\n  name: IR_087\n  resolution: 3000.403165817\n  wavelength: !!python/object/new:satpy.dataset.dataid.WavelengthRange\n  - 8.3\n  - 8.7\n  - 9.1\n  - \"\\xB5m\"\n",
+            "IR_087_ancillary_variables": [],
+            "IR_087_area": "msg_seviri_rss_3km:\n  description: MSG SEVIRI Rapid Scanning Service area definition with 3 km resolution\n  projection:\n    proj: geos\n    lon_0: 9.5\n    h: 35785831\n    x_0: 0\n    y_0: 0\n    a: 6378169\n    rf: 295.488065897014\n    no_defs: null\n    type: crs\n  shape:\n    height: 1392\n    width: 3712\n  area_extent:\n    lower_left_xy: [5567248.074173927, 5570248.477339745]\n    upper_right_xy: [-5570248.477339745, 1393687.2705221176]\n    units: m\n",
+            "IR_087_calibration": "brightness_temperature",
+            "IR_087_end_time": "2020-01-01T00:00:07.676580",
+            "IR_087_georef_offset_corrected": "True",
+            "IR_087_modifiers": [],
+            "IR_087_name": "IR_087",
+            "IR_087_orbital_parameters": "projection_altitude: 35785831.0\nprojection_latitude: 0.0\nprojection_longitude: 9.5\nsatellite_actual_altitude: 35785194.01716657\nsatellite_actual_latitude: 0.9667690739053058\nsatellite_actual_longitude: 9.345990336803867\nsatellite_nominal_latitude: 0.0\nsatellite_nominal_longitude: 9.5\n",
+            "IR_087_platform_name": "Meteosat-10",
+            "IR_087_reader": "seviri_l1b_native",
+            "IR_087_resolution": 3000.403165817,
+            "IR_087_sensor": "seviri",
+            "IR_087_standard_name": "toa_brightness_temperature",
+            "IR_087_start_time": "2019-12-31T23:55:07.772388",
+            "IR_087_units": "K",
+            "IR_087_wavelength": [
+                8.3,
+                8.7,
+                9.1,
+                "\u00b5m"
+            ],
+            "IR_097__satpy_id": "!!python/object/apply:satpy.dataset.dataid._unpickle\n- calibration:\n    enum:\n    - reflectance\n    - brightness_temperature\n    - radiance\n    - counts\n    transitive: true\n  modifiers:\n    default: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n    - !!python/tuple []\n    type: !!python/name:satpy.dataset.dataid.ModifierTuple ''\n  name:\n    required: true\n  resolution:\n    transitive: false\n  wavelength:\n    type: !!python/name:satpy.dataset.dataid.WavelengthRange ''\n- calibration: brightness_temperature\n  modifiers: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n  - !!python/tuple []\n  name: IR_097\n  resolution: 3000.403165817\n  wavelength: !!python/object/new:satpy.dataset.dataid.WavelengthRange\n  - 9.38\n  - 9.66\n  - 9.94\n  - \"\\xB5m\"\n",
+            "IR_097_ancillary_variables": [],
+            "IR_097_area": "msg_seviri_rss_3km:\n  description: MSG SEVIRI Rapid Scanning Service area definition with 3 km resolution\n  projection:\n    proj: geos\n    lon_0: 9.5\n    h: 35785831\n    x_0: 0\n    y_0: 0\n    a: 6378169\n    rf: 295.488065897014\n    no_defs: null\n    type: crs\n  shape:\n    height: 1392\n    width: 3712\n  area_extent:\n    lower_left_xy: [5567248.074173927, 5570248.477339745]\n    upper_right_xy: [-5570248.477339745, 1393687.2705221176]\n    units: m\n",
+            "IR_097_calibration": "brightness_temperature",
+            "IR_097_end_time": "2020-01-01T00:00:07.676580",
+            "IR_097_georef_offset_corrected": "True",
+            "IR_097_modifiers": [],
+            "IR_097_name": "IR_097",
+            "IR_097_orbital_parameters": "projection_altitude: 35785831.0\nprojection_latitude: 0.0\nprojection_longitude: 9.5\nsatellite_actual_altitude: 35785194.01716657\nsatellite_actual_latitude: 0.9667690739053058\nsatellite_actual_longitude: 9.345990336803867\nsatellite_nominal_latitude: 0.0\nsatellite_nominal_longitude: 9.5\n",
+            "IR_097_platform_name": "Meteosat-10",
+            "IR_097_reader": "seviri_l1b_native",
+            "IR_097_resolution": 3000.403165817,
+            "IR_097_sensor": "seviri",
+            "IR_097_standard_name": "toa_brightness_temperature",
+            "IR_097_start_time": "2019-12-31T23:55:07.772388",
+            "IR_097_units": "K",
+            "IR_097_wavelength": [
+                9.38,
+                9.66,
+                9.94,
+                "\u00b5m"
+            ],
+            "IR_108__satpy_id": "!!python/object/apply:satpy.dataset.dataid._unpickle\n- calibration:\n    enum:\n    - reflectance\n    - brightness_temperature\n    - radiance\n    - counts\n    transitive: true\n  modifiers:\n    default: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n    - !!python/tuple []\n    type: !!python/name:satpy.dataset.dataid.ModifierTuple ''\n  name:\n    required: true\n  resolution:\n    transitive: false\n  wavelength:\n    type: !!python/name:satpy.dataset.dataid.WavelengthRange ''\n- calibration: brightness_temperature\n  modifiers: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n  - !!python/tuple []\n  name: IR_108\n  resolution: 3000.403165817\n  wavelength: !!python/object/new:satpy.dataset.dataid.WavelengthRange\n  - 9.8\n  - 10.8\n  - 11.8\n  - \"\\xB5m\"\n",
+            "IR_108_ancillary_variables": [],
+            "IR_108_area": "msg_seviri_rss_3km:\n  description: MSG SEVIRI Rapid Scanning Service area definition with 3 km resolution\n  projection:\n    proj: geos\n    lon_0: 9.5\n    h: 35785831\n    x_0: 0\n    y_0: 0\n    a: 6378169\n    rf: 295.488065897014\n    no_defs: null\n    type: crs\n  shape:\n    height: 1392\n    width: 3712\n  area_extent:\n    lower_left_xy: [5567248.074173927, 5570248.477339745]\n    upper_right_xy: [-5570248.477339745, 1393687.2705221176]\n    units: m\n",
+            "IR_108_calibration": "brightness_temperature",
+            "IR_108_end_time": "2020-01-01T00:00:07.676580",
+            "IR_108_georef_offset_corrected": "True",
+            "IR_108_modifiers": [],
+            "IR_108_name": "IR_108",
+            "IR_108_orbital_parameters": "projection_altitude: 35785831.0\nprojection_latitude: 0.0\nprojection_longitude: 9.5\nsatellite_actual_altitude: 35785194.01716657\nsatellite_actual_latitude: 0.9667690739053058\nsatellite_actual_longitude: 9.345990336803867\nsatellite_nominal_latitude: 0.0\nsatellite_nominal_longitude: 9.5\n",
+            "IR_108_platform_name": "Meteosat-10",
+            "IR_108_reader": "seviri_l1b_native",
+            "IR_108_resolution": 3000.403165817,
+            "IR_108_sensor": "seviri",
+            "IR_108_standard_name": "toa_brightness_temperature",
+            "IR_108_start_time": "2019-12-31T23:55:07.772388",
+            "IR_108_units": "K",
+            "IR_108_wavelength": [
+                9.8,
+                10.8,
+                11.8,
+                "\u00b5m"
+            ],
+            "IR_120__satpy_id": "!!python/object/apply:satpy.dataset.dataid._unpickle\n- calibration:\n    enum:\n    - reflectance\n    - brightness_temperature\n    - radiance\n    - counts\n    transitive: true\n  modifiers:\n    default: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n    - !!python/tuple []\n    type: !!python/name:satpy.dataset.dataid.ModifierTuple ''\n  name:\n    required: true\n  resolution:\n    transitive: false\n  wavelength:\n    type: !!python/name:satpy.dataset.dataid.WavelengthRange ''\n- calibration: brightness_temperature\n  modifiers: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n  - !!python/tuple []\n  name: IR_120\n  resolution: 3000.403165817\n  wavelength: !!python/object/new:satpy.dataset.dataid.WavelengthRange\n  - 11.0\n  - 12.0\n  - 13.0\n  - \"\\xB5m\"\n",
+            "IR_120_ancillary_variables": [],
+            "IR_120_area": "msg_seviri_rss_3km:\n  description: MSG SEVIRI Rapid Scanning Service area definition with 3 km resolution\n  projection:\n    proj: geos\n    lon_0: 9.5\n    h: 35785831\n    x_0: 0\n    y_0: 0\n    a: 6378169\n    rf: 295.488065897014\n    no_defs: null\n    type: crs\n  shape:\n    height: 1392\n    width: 3712\n  area_extent:\n    lower_left_xy: [5567248.074173927, 5570248.477339745]\n    upper_right_xy: [-5570248.477339745, 1393687.2705221176]\n    units: m\n",
+            "IR_120_calibration": "brightness_temperature",
+            "IR_120_end_time": "2020-01-01T00:00:07.676580",
+            "IR_120_georef_offset_corrected": "True",
+            "IR_120_modifiers": [],
+            "IR_120_name": "IR_120",
+            "IR_120_orbital_parameters": "projection_altitude: 35785831.0\nprojection_latitude: 0.0\nprojection_longitude: 9.5\nsatellite_actual_altitude: 35785194.01716657\nsatellite_actual_latitude: 0.9667690739053058\nsatellite_actual_longitude: 9.345990336803867\nsatellite_nominal_latitude: 0.0\nsatellite_nominal_longitude: 9.5\n",
+            "IR_120_platform_name": "Meteosat-10",
+            "IR_120_reader": "seviri_l1b_native",
+            "IR_120_resolution": 3000.403165817,
+            "IR_120_sensor": "seviri",
+            "IR_120_standard_name": "toa_brightness_temperature",
+            "IR_120_start_time": "2019-12-31T23:55:07.772388",
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+                13.4,
+                14.4,
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+            "VIS006_end_time": "2020-01-01T00:00:07.676580",
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+            "VIS006_units": "%",
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+            "VIS008_ancillary_variables": [],
+            "VIS008_area": "msg_seviri_rss_3km:\n  description: MSG SEVIRI Rapid Scanning Service area definition with 3 km resolution\n  projection:\n    proj: geos\n    lon_0: 9.5\n    h: 35785831\n    x_0: 0\n    y_0: 0\n    a: 6378169\n    rf: 295.488065897014\n    no_defs: null\n    type: crs\n  shape:\n    height: 1392\n    width: 3712\n  area_extent:\n    lower_left_xy: [5567248.074173927, 5570248.477339745]\n    upper_right_xy: [-5570248.477339745, 1393687.2705221176]\n    units: m\n",
+            "VIS008_calibration": "reflectance",
+            "VIS008_end_time": "2020-01-01T00:00:07.676580",
+            "VIS008_georef_offset_corrected": "True",
+            "VIS008_modifiers": [],
+            "VIS008_name": "VIS008",
+            "VIS008_orbital_parameters": "projection_altitude: 35785831.0\nprojection_latitude: 0.0\nprojection_longitude: 9.5\nsatellite_actual_altitude: 35785194.01716657\nsatellite_actual_latitude: 0.9667690739053058\nsatellite_actual_longitude: 9.345990336803867\nsatellite_nominal_latitude: 0.0\nsatellite_nominal_longitude: 9.5\n",
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+            "WV_062_ancillary_variables": [],
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+            "WV_062_calibration": "brightness_temperature",
+            "WV_062_end_time": "2020-01-01T00:00:07.676580",
+            "WV_062_georef_offset_corrected": "True",
+            "WV_062_modifiers": [],
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+            "WV_062_orbital_parameters": "projection_altitude: 35785831.0\nprojection_latitude: 0.0\nprojection_longitude: 9.5\nsatellite_actual_altitude: 35785194.01716657\nsatellite_actual_latitude: 0.9667690739053058\nsatellite_actual_longitude: 9.345990336803867\nsatellite_nominal_latitude: 0.0\nsatellite_nominal_longitude: 9.5\n",
+            "WV_062_platform_name": "Meteosat-10",
+            "WV_062_reader": "seviri_l1b_native",
+            "WV_062_resolution": 3000.403165817,
+            "WV_062_sensor": "seviri",
+            "WV_062_standard_name": "toa_brightness_temperature",
+            "WV_062_start_time": "2019-12-31T23:55:07.772388",
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+            "WV_062_wavelength": [
+                5.35,
+                6.25,
+                7.15,
+                "\u00b5m"
+            ],
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+            "WV_073_ancillary_variables": [],
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+            "coordinate_reference_system": "geostationary",
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+}
\ No newline at end of file
diff --git a/psp/tests/fixtures/satellite.zarr/data/.zarray b/psp/tests/fixtures/satellite.zarr/data/.zarray
new file mode 100644
index 00000000..57e87467
--- /dev/null
+++ b/psp/tests/fixtures/satellite.zarr/data/.zarray
@@ -0,0 +1,26 @@
+{
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+}
\ No newline at end of file
diff --git a/psp/tests/fixtures/satellite.zarr/data/.zattrs b/psp/tests/fixtures/satellite.zarr/data/.zattrs
new file mode 100644
index 00000000..46207865
--- /dev/null
+++ b/psp/tests/fixtures/satellite.zarr/data/.zattrs
@@ -0,0 +1,267 @@
+{
+    "IR_016__satpy_id": "!!python/object/apply:satpy.dataset.dataid._unpickle\n- calibration:\n    enum:\n    - reflectance\n    - brightness_temperature\n    - radiance\n    - counts\n    transitive: true\n  modifiers:\n    default: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n    - !!python/tuple []\n    type: !!python/name:satpy.dataset.dataid.ModifierTuple ''\n  name:\n    required: true\n  resolution:\n    transitive: false\n  wavelength:\n    type: !!python/name:satpy.dataset.dataid.WavelengthRange ''\n- calibration: reflectance\n  modifiers: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n  - !!python/tuple []\n  name: IR_016\n  resolution: 3000.403165817\n  wavelength: !!python/object/new:satpy.dataset.dataid.WavelengthRange\n  - 1.5\n  - 1.64\n  - 1.78\n  - \"\\xB5m\"\n",
+    "IR_016_ancillary_variables": [],
+    "IR_016_area": "msg_seviri_rss_3km:\n  description: MSG SEVIRI Rapid Scanning Service area definition with 3 km resolution\n  projection:\n    proj: geos\n    lon_0: 9.5\n    h: 35785831\n    x_0: 0\n    y_0: 0\n    a: 6378169\n    rf: 295.488065897014\n    no_defs: null\n    type: crs\n  shape:\n    height: 1392\n    width: 3712\n  area_extent:\n    lower_left_xy: [5567248.074173927, 5570248.477339745]\n    upper_right_xy: [-5570248.477339745, 1393687.2705221176]\n    units: m\n",
+    "IR_016_calibration": "reflectance",
+    "IR_016_end_time": "2020-01-01T00:00:07.676580",
+    "IR_016_georef_offset_corrected": "True",
+    "IR_016_modifiers": [],
+    "IR_016_name": "IR_016",
+    "IR_016_orbital_parameters": "projection_altitude: 35785831.0\nprojection_latitude: 0.0\nprojection_longitude: 9.5\nsatellite_actual_altitude: 35785194.01716657\nsatellite_actual_latitude: 0.9667690739053058\nsatellite_actual_longitude: 9.345990336803867\nsatellite_nominal_latitude: 0.0\nsatellite_nominal_longitude: 9.5\n",
+    "IR_016_platform_name": "Meteosat-10",
+    "IR_016_reader": "seviri_l1b_native",
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+    "IR_016_sensor": "seviri",
+    "IR_016_standard_name": "toa_bidirectional_reflectance",
+    "IR_016_start_time": "2019-12-31T23:55:07.772388",
+    "IR_016_sun_earth_distance_correction_applied": "True",
+    "IR_016_sun_earth_distance_correction_factor": 0.9666341924425861,
+    "IR_016_units": "%",
+    "IR_016_wavelength": [
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+        1.64,
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+        "\u00b5m"
+    ],
+    "IR_039__satpy_id": "!!python/object/apply:satpy.dataset.dataid._unpickle\n- calibration:\n    enum:\n    - reflectance\n    - brightness_temperature\n    - radiance\n    - counts\n    transitive: true\n  modifiers:\n    default: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n    - !!python/tuple []\n    type: !!python/name:satpy.dataset.dataid.ModifierTuple ''\n  name:\n    required: true\n  resolution:\n    transitive: false\n  wavelength:\n    type: !!python/name:satpy.dataset.dataid.WavelengthRange ''\n- calibration: brightness_temperature\n  modifiers: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n  - !!python/tuple []\n  name: IR_039\n  resolution: 3000.403165817\n  wavelength: !!python/object/new:satpy.dataset.dataid.WavelengthRange\n  - 3.48\n  - 3.92\n  - 4.36\n  - \"\\xB5m\"\n",
+    "IR_039_ancillary_variables": [],
+    "IR_039_area": "msg_seviri_rss_3km:\n  description: MSG SEVIRI Rapid Scanning Service area definition with 3 km resolution\n  projection:\n    proj: geos\n    lon_0: 9.5\n    h: 35785831\n    x_0: 0\n    y_0: 0\n    a: 6378169\n    rf: 295.488065897014\n    no_defs: null\n    type: crs\n  shape:\n    height: 1392\n    width: 3712\n  area_extent:\n    lower_left_xy: [5567248.074173927, 5570248.477339745]\n    upper_right_xy: [-5570248.477339745, 1393687.2705221176]\n    units: m\n",
+    "IR_039_calibration": "brightness_temperature",
+    "IR_039_end_time": "2020-01-01T00:00:07.676580",
+    "IR_039_georef_offset_corrected": "True",
+    "IR_039_modifiers": [],
+    "IR_039_name": "IR_039",
+    "IR_039_orbital_parameters": "projection_altitude: 35785831.0\nprojection_latitude: 0.0\nprojection_longitude: 9.5\nsatellite_actual_altitude: 35785194.01716657\nsatellite_actual_latitude: 0.9667690739053058\nsatellite_actual_longitude: 9.345990336803867\nsatellite_nominal_latitude: 0.0\nsatellite_nominal_longitude: 9.5\n",
+    "IR_039_platform_name": "Meteosat-10",
+    "IR_039_reader": "seviri_l1b_native",
+    "IR_039_resolution": 3000.403165817,
+    "IR_039_sensor": "seviri",
+    "IR_039_standard_name": "toa_brightness_temperature",
+    "IR_039_start_time": "2019-12-31T23:55:07.772388",
+    "IR_039_units": "K",
+    "IR_039_wavelength": [
+        3.48,
+        3.92,
+        4.36,
+        "\u00b5m"
+    ],
+    "IR_087__satpy_id": "!!python/object/apply:satpy.dataset.dataid._unpickle\n- calibration:\n    enum:\n    - reflectance\n    - brightness_temperature\n    - radiance\n    - counts\n    transitive: true\n  modifiers:\n    default: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n    - !!python/tuple []\n    type: !!python/name:satpy.dataset.dataid.ModifierTuple ''\n  name:\n    required: true\n  resolution:\n    transitive: false\n  wavelength:\n    type: !!python/name:satpy.dataset.dataid.WavelengthRange ''\n- calibration: brightness_temperature\n  modifiers: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n  - !!python/tuple []\n  name: IR_087\n  resolution: 3000.403165817\n  wavelength: !!python/object/new:satpy.dataset.dataid.WavelengthRange\n  - 8.3\n  - 8.7\n  - 9.1\n  - \"\\xB5m\"\n",
+    "IR_087_ancillary_variables": [],
+    "IR_087_area": "msg_seviri_rss_3km:\n  description: MSG SEVIRI Rapid Scanning Service area definition with 3 km resolution\n  projection:\n    proj: geos\n    lon_0: 9.5\n    h: 35785831\n    x_0: 0\n    y_0: 0\n    a: 6378169\n    rf: 295.488065897014\n    no_defs: null\n    type: crs\n  shape:\n    height: 1392\n    width: 3712\n  area_extent:\n    lower_left_xy: [5567248.074173927, 5570248.477339745]\n    upper_right_xy: [-5570248.477339745, 1393687.2705221176]\n    units: m\n",
+    "IR_087_calibration": "brightness_temperature",
+    "IR_087_end_time": "2020-01-01T00:00:07.676580",
+    "IR_087_georef_offset_corrected": "True",
+    "IR_087_modifiers": [],
+    "IR_087_name": "IR_087",
+    "IR_087_orbital_parameters": "projection_altitude: 35785831.0\nprojection_latitude: 0.0\nprojection_longitude: 9.5\nsatellite_actual_altitude: 35785194.01716657\nsatellite_actual_latitude: 0.9667690739053058\nsatellite_actual_longitude: 9.345990336803867\nsatellite_nominal_latitude: 0.0\nsatellite_nominal_longitude: 9.5\n",
+    "IR_087_platform_name": "Meteosat-10",
+    "IR_087_reader": "seviri_l1b_native",
+    "IR_087_resolution": 3000.403165817,
+    "IR_087_sensor": "seviri",
+    "IR_087_standard_name": "toa_brightness_temperature",
+    "IR_087_start_time": "2019-12-31T23:55:07.772388",
+    "IR_087_units": "K",
+    "IR_087_wavelength": [
+        8.3,
+        8.7,
+        9.1,
+        "\u00b5m"
+    ],
+    "IR_097__satpy_id": "!!python/object/apply:satpy.dataset.dataid._unpickle\n- calibration:\n    enum:\n    - reflectance\n    - brightness_temperature\n    - radiance\n    - counts\n    transitive: true\n  modifiers:\n    default: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n    - !!python/tuple []\n    type: !!python/name:satpy.dataset.dataid.ModifierTuple ''\n  name:\n    required: true\n  resolution:\n    transitive: false\n  wavelength:\n    type: !!python/name:satpy.dataset.dataid.WavelengthRange ''\n- calibration: brightness_temperature\n  modifiers: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n  - !!python/tuple []\n  name: IR_097\n  resolution: 3000.403165817\n  wavelength: !!python/object/new:satpy.dataset.dataid.WavelengthRange\n  - 9.38\n  - 9.66\n  - 9.94\n  - \"\\xB5m\"\n",
+    "IR_097_ancillary_variables": [],
+    "IR_097_area": "msg_seviri_rss_3km:\n  description: MSG SEVIRI Rapid Scanning Service area definition with 3 km resolution\n  projection:\n    proj: geos\n    lon_0: 9.5\n    h: 35785831\n    x_0: 0\n    y_0: 0\n    a: 6378169\n    rf: 295.488065897014\n    no_defs: null\n    type: crs\n  shape:\n    height: 1392\n    width: 3712\n  area_extent:\n    lower_left_xy: [5567248.074173927, 5570248.477339745]\n    upper_right_xy: [-5570248.477339745, 1393687.2705221176]\n    units: m\n",
+    "IR_097_calibration": "brightness_temperature",
+    "IR_097_end_time": "2020-01-01T00:00:07.676580",
+    "IR_097_georef_offset_corrected": "True",
+    "IR_097_modifiers": [],
+    "IR_097_name": "IR_097",
+    "IR_097_orbital_parameters": "projection_altitude: 35785831.0\nprojection_latitude: 0.0\nprojection_longitude: 9.5\nsatellite_actual_altitude: 35785194.01716657\nsatellite_actual_latitude: 0.9667690739053058\nsatellite_actual_longitude: 9.345990336803867\nsatellite_nominal_latitude: 0.0\nsatellite_nominal_longitude: 9.5\n",
+    "IR_097_platform_name": "Meteosat-10",
+    "IR_097_reader": "seviri_l1b_native",
+    "IR_097_resolution": 3000.403165817,
+    "IR_097_sensor": "seviri",
+    "IR_097_standard_name": "toa_brightness_temperature",
+    "IR_097_start_time": "2019-12-31T23:55:07.772388",
+    "IR_097_units": "K",
+    "IR_097_wavelength": [
+        9.38,
+        9.66,
+        9.94,
+        "\u00b5m"
+    ],
+    "IR_108__satpy_id": "!!python/object/apply:satpy.dataset.dataid._unpickle\n- calibration:\n    enum:\n    - reflectance\n    - brightness_temperature\n    - radiance\n    - counts\n    transitive: true\n  modifiers:\n    default: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n    - !!python/tuple []\n    type: !!python/name:satpy.dataset.dataid.ModifierTuple ''\n  name:\n    required: true\n  resolution:\n    transitive: false\n  wavelength:\n    type: !!python/name:satpy.dataset.dataid.WavelengthRange ''\n- calibration: brightness_temperature\n  modifiers: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n  - !!python/tuple []\n  name: IR_108\n  resolution: 3000.403165817\n  wavelength: !!python/object/new:satpy.dataset.dataid.WavelengthRange\n  - 9.8\n  - 10.8\n  - 11.8\n  - \"\\xB5m\"\n",
+    "IR_108_ancillary_variables": [],
+    "IR_108_area": "msg_seviri_rss_3km:\n  description: MSG SEVIRI Rapid Scanning Service area definition with 3 km resolution\n  projection:\n    proj: geos\n    lon_0: 9.5\n    h: 35785831\n    x_0: 0\n    y_0: 0\n    a: 6378169\n    rf: 295.488065897014\n    no_defs: null\n    type: crs\n  shape:\n    height: 1392\n    width: 3712\n  area_extent:\n    lower_left_xy: [5567248.074173927, 5570248.477339745]\n    upper_right_xy: [-5570248.477339745, 1393687.2705221176]\n    units: m\n",
+    "IR_108_calibration": "brightness_temperature",
+    "IR_108_end_time": "2020-01-01T00:00:07.676580",
+    "IR_108_georef_offset_corrected": "True",
+    "IR_108_modifiers": [],
+    "IR_108_name": "IR_108",
+    "IR_108_orbital_parameters": "projection_altitude: 35785831.0\nprojection_latitude: 0.0\nprojection_longitude: 9.5\nsatellite_actual_altitude: 35785194.01716657\nsatellite_actual_latitude: 0.9667690739053058\nsatellite_actual_longitude: 9.345990336803867\nsatellite_nominal_latitude: 0.0\nsatellite_nominal_longitude: 9.5\n",
+    "IR_108_platform_name": "Meteosat-10",
+    "IR_108_reader": "seviri_l1b_native",
+    "IR_108_resolution": 3000.403165817,
+    "IR_108_sensor": "seviri",
+    "IR_108_standard_name": "toa_brightness_temperature",
+    "IR_108_start_time": "2019-12-31T23:55:07.772388",
+    "IR_108_units": "K",
+    "IR_108_wavelength": [
+        9.8,
+        10.8,
+        11.8,
+        "\u00b5m"
+    ],
+    "IR_120__satpy_id": "!!python/object/apply:satpy.dataset.dataid._unpickle\n- calibration:\n    enum:\n    - reflectance\n    - brightness_temperature\n    - radiance\n    - counts\n    transitive: true\n  modifiers:\n    default: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n    - !!python/tuple []\n    type: !!python/name:satpy.dataset.dataid.ModifierTuple ''\n  name:\n    required: true\n  resolution:\n    transitive: false\n  wavelength:\n    type: !!python/name:satpy.dataset.dataid.WavelengthRange ''\n- calibration: brightness_temperature\n  modifiers: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n  - !!python/tuple []\n  name: IR_120\n  resolution: 3000.403165817\n  wavelength: !!python/object/new:satpy.dataset.dataid.WavelengthRange\n  - 11.0\n  - 12.0\n  - 13.0\n  - \"\\xB5m\"\n",
+    "IR_120_ancillary_variables": [],
+    "IR_120_area": "msg_seviri_rss_3km:\n  description: MSG SEVIRI Rapid Scanning Service area definition with 3 km resolution\n  projection:\n    proj: geos\n    lon_0: 9.5\n    h: 35785831\n    x_0: 0\n    y_0: 0\n    a: 6378169\n    rf: 295.488065897014\n    no_defs: null\n    type: crs\n  shape:\n    height: 1392\n    width: 3712\n  area_extent:\n    lower_left_xy: [5567248.074173927, 5570248.477339745]\n    upper_right_xy: [-5570248.477339745, 1393687.2705221176]\n    units: m\n",
+    "IR_120_calibration": "brightness_temperature",
+    "IR_120_end_time": "2020-01-01T00:00:07.676580",
+    "IR_120_georef_offset_corrected": "True",
+    "IR_120_modifiers": [],
+    "IR_120_name": "IR_120",
+    "IR_120_orbital_parameters": "projection_altitude: 35785831.0\nprojection_latitude: 0.0\nprojection_longitude: 9.5\nsatellite_actual_altitude: 35785194.01716657\nsatellite_actual_latitude: 0.9667690739053058\nsatellite_actual_longitude: 9.345990336803867\nsatellite_nominal_latitude: 0.0\nsatellite_nominal_longitude: 9.5\n",
+    "IR_120_platform_name": "Meteosat-10",
+    "IR_120_reader": "seviri_l1b_native",
+    "IR_120_resolution": 3000.403165817,
+    "IR_120_sensor": "seviri",
+    "IR_120_standard_name": "toa_brightness_temperature",
+    "IR_120_start_time": "2019-12-31T23:55:07.772388",
+    "IR_120_units": "K",
+    "IR_120_wavelength": [
+        11.0,
+        12.0,
+        13.0,
+        "\u00b5m"
+    ],
+    "IR_134__satpy_id": "!!python/object/apply:satpy.dataset.dataid._unpickle\n- calibration:\n    enum:\n    - reflectance\n    - brightness_temperature\n    - radiance\n    - counts\n    transitive: true\n  modifiers:\n    default: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n    - !!python/tuple []\n    type: !!python/name:satpy.dataset.dataid.ModifierTuple ''\n  name:\n    required: true\n  resolution:\n    transitive: false\n  wavelength:\n    type: !!python/name:satpy.dataset.dataid.WavelengthRange ''\n- calibration: brightness_temperature\n  modifiers: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n  - !!python/tuple []\n  name: IR_134\n  resolution: 3000.403165817\n  wavelength: !!python/object/new:satpy.dataset.dataid.WavelengthRange\n  - 12.4\n  - 13.4\n  - 14.4\n  - \"\\xB5m\"\n",
+    "IR_134_ancillary_variables": [],
+    "IR_134_area": "msg_seviri_rss_3km:\n  description: MSG SEVIRI Rapid Scanning Service area definition with 3 km resolution\n  projection:\n    proj: geos\n    lon_0: 9.5\n    h: 35785831\n    x_0: 0\n    y_0: 0\n    a: 6378169\n    rf: 295.488065897014\n    no_defs: null\n    type: crs\n  shape:\n    height: 1392\n    width: 3712\n  area_extent:\n    lower_left_xy: [5567248.074173927, 5570248.477339745]\n    upper_right_xy: [-5570248.477339745, 1393687.2705221176]\n    units: m\n",
+    "IR_134_calibration": "brightness_temperature",
+    "IR_134_end_time": "2020-01-01T00:00:07.676580",
+    "IR_134_georef_offset_corrected": "True",
+    "IR_134_modifiers": [],
+    "IR_134_name": "IR_134",
+    "IR_134_orbital_parameters": "projection_altitude: 35785831.0\nprojection_latitude: 0.0\nprojection_longitude: 9.5\nsatellite_actual_altitude: 35785194.01716657\nsatellite_actual_latitude: 0.9667690739053058\nsatellite_actual_longitude: 9.345990336803867\nsatellite_nominal_latitude: 0.0\nsatellite_nominal_longitude: 9.5\n",
+    "IR_134_platform_name": "Meteosat-10",
+    "IR_134_reader": "seviri_l1b_native",
+    "IR_134_resolution": 3000.403165817,
+    "IR_134_sensor": "seviri",
+    "IR_134_standard_name": "toa_brightness_temperature",
+    "IR_134_start_time": "2019-12-31T23:55:07.772388",
+    "IR_134_units": "K",
+    "IR_134_wavelength": [
+        12.4,
+        13.4,
+        14.4,
+        "\u00b5m"
+    ],
+    "VIS006__satpy_id": "!!python/object/apply:satpy.dataset.dataid._unpickle\n- calibration:\n    enum:\n    - reflectance\n    - brightness_temperature\n    - radiance\n    - counts\n    transitive: true\n  modifiers:\n    default: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n    - !!python/tuple []\n    type: !!python/name:satpy.dataset.dataid.ModifierTuple ''\n  name:\n    required: true\n  resolution:\n    transitive: false\n  wavelength:\n    type: !!python/name:satpy.dataset.dataid.WavelengthRange ''\n- calibration: reflectance\n  modifiers: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n  - !!python/tuple []\n  name: VIS006\n  resolution: 3000.403165817\n  wavelength: !!python/object/new:satpy.dataset.dataid.WavelengthRange\n  - 0.56\n  - 0.635\n  - 0.71\n  - \"\\xB5m\"\n",
+    "VIS006_ancillary_variables": [],
+    "VIS006_area": "msg_seviri_rss_3km:\n  description: MSG SEVIRI Rapid Scanning Service area definition with 3 km resolution\n  projection:\n    proj: geos\n    lon_0: 9.5\n    h: 35785831\n    x_0: 0\n    y_0: 0\n    a: 6378169\n    rf: 295.488065897014\n    no_defs: null\n    type: crs\n  shape:\n    height: 1392\n    width: 3712\n  area_extent:\n    lower_left_xy: [5567248.074173927, 5570248.477339745]\n    upper_right_xy: [-5570248.477339745, 1393687.2705221176]\n    units: m\n",
+    "VIS006_calibration": "reflectance",
+    "VIS006_end_time": "2020-01-01T00:00:07.676580",
+    "VIS006_georef_offset_corrected": "True",
+    "VIS006_modifiers": [],
+    "VIS006_name": "VIS006",
+    "VIS006_orbital_parameters": "projection_altitude: 35785831.0\nprojection_latitude: 0.0\nprojection_longitude: 9.5\nsatellite_actual_altitude: 35785194.01716657\nsatellite_actual_latitude: 0.9667690739053058\nsatellite_actual_longitude: 9.345990336803867\nsatellite_nominal_latitude: 0.0\nsatellite_nominal_longitude: 9.5\n",
+    "VIS006_platform_name": "Meteosat-10",
+    "VIS006_reader": "seviri_l1b_native",
+    "VIS006_resolution": 3000.403165817,
+    "VIS006_sensor": "seviri",
+    "VIS006_standard_name": "toa_bidirectional_reflectance",
+    "VIS006_start_time": "2019-12-31T23:55:07.772388",
+    "VIS006_sun_earth_distance_correction_applied": "True",
+    "VIS006_sun_earth_distance_correction_factor": 0.9666341924425861,
+    "VIS006_units": "%",
+    "VIS006_wavelength": [
+        0.56,
+        0.635,
+        0.71,
+        "\u00b5m"
+    ],
+    "VIS008__satpy_id": "!!python/object/apply:satpy.dataset.dataid._unpickle\n- calibration:\n    enum:\n    - reflectance\n    - brightness_temperature\n    - radiance\n    - counts\n    transitive: true\n  modifiers:\n    default: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n    - !!python/tuple []\n    type: !!python/name:satpy.dataset.dataid.ModifierTuple ''\n  name:\n    required: true\n  resolution:\n    transitive: false\n  wavelength:\n    type: !!python/name:satpy.dataset.dataid.WavelengthRange ''\n- calibration: reflectance\n  modifiers: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n  - !!python/tuple []\n  name: VIS008\n  resolution: 3000.403165817\n  wavelength: !!python/object/new:satpy.dataset.dataid.WavelengthRange\n  - 0.74\n  - 0.81\n  - 0.88\n  - \"\\xB5m\"\n",
+    "VIS008_ancillary_variables": [],
+    "VIS008_area": "msg_seviri_rss_3km:\n  description: MSG SEVIRI Rapid Scanning Service area definition with 3 km resolution\n  projection:\n    proj: geos\n    lon_0: 9.5\n    h: 35785831\n    x_0: 0\n    y_0: 0\n    a: 6378169\n    rf: 295.488065897014\n    no_defs: null\n    type: crs\n  shape:\n    height: 1392\n    width: 3712\n  area_extent:\n    lower_left_xy: [5567248.074173927, 5570248.477339745]\n    upper_right_xy: [-5570248.477339745, 1393687.2705221176]\n    units: m\n",
+    "VIS008_calibration": "reflectance",
+    "VIS008_end_time": "2020-01-01T00:00:07.676580",
+    "VIS008_georef_offset_corrected": "True",
+    "VIS008_modifiers": [],
+    "VIS008_name": "VIS008",
+    "VIS008_orbital_parameters": "projection_altitude: 35785831.0\nprojection_latitude: 0.0\nprojection_longitude: 9.5\nsatellite_actual_altitude: 35785194.01716657\nsatellite_actual_latitude: 0.9667690739053058\nsatellite_actual_longitude: 9.345990336803867\nsatellite_nominal_latitude: 0.0\nsatellite_nominal_longitude: 9.5\n",
+    "VIS008_platform_name": "Meteosat-10",
+    "VIS008_reader": "seviri_l1b_native",
+    "VIS008_resolution": 3000.403165817,
+    "VIS008_sensor": "seviri",
+    "VIS008_standard_name": "toa_bidirectional_reflectance",
+    "VIS008_start_time": "2019-12-31T23:55:07.772388",
+    "VIS008_sun_earth_distance_correction_applied": "True",
+    "VIS008_sun_earth_distance_correction_factor": 0.9666341924425861,
+    "VIS008_units": "%",
+    "VIS008_wavelength": [
+        0.74,
+        0.81,
+        0.88,
+        "\u00b5m"
+    ],
+    "WV_062__satpy_id": "!!python/object/apply:satpy.dataset.dataid._unpickle\n- calibration:\n    enum:\n    - reflectance\n    - brightness_temperature\n    - radiance\n    - counts\n    transitive: true\n  modifiers:\n    default: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n    - !!python/tuple []\n    type: !!python/name:satpy.dataset.dataid.ModifierTuple ''\n  name:\n    required: true\n  resolution:\n    transitive: false\n  wavelength:\n    type: !!python/name:satpy.dataset.dataid.WavelengthRange ''\n- calibration: brightness_temperature\n  modifiers: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n  - !!python/tuple []\n  name: WV_062\n  resolution: 3000.403165817\n  wavelength: !!python/object/new:satpy.dataset.dataid.WavelengthRange\n  - 5.35\n  - 6.25\n  - 7.15\n  - \"\\xB5m\"\n",
+    "WV_062_ancillary_variables": [],
+    "WV_062_area": "msg_seviri_rss_3km:\n  description: MSG SEVIRI Rapid Scanning Service area definition with 3 km resolution\n  projection:\n    proj: geos\n    lon_0: 9.5\n    h: 35785831\n    x_0: 0\n    y_0: 0\n    a: 6378169\n    rf: 295.488065897014\n    no_defs: null\n    type: crs\n  shape:\n    height: 1392\n    width: 3712\n  area_extent:\n    lower_left_xy: [5567248.074173927, 5570248.477339745]\n    upper_right_xy: [-5570248.477339745, 1393687.2705221176]\n    units: m\n",
+    "WV_062_calibration": "brightness_temperature",
+    "WV_062_end_time": "2020-01-01T00:00:07.676580",
+    "WV_062_georef_offset_corrected": "True",
+    "WV_062_modifiers": [],
+    "WV_062_name": "WV_062",
+    "WV_062_orbital_parameters": "projection_altitude: 35785831.0\nprojection_latitude: 0.0\nprojection_longitude: 9.5\nsatellite_actual_altitude: 35785194.01716657\nsatellite_actual_latitude: 0.9667690739053058\nsatellite_actual_longitude: 9.345990336803867\nsatellite_nominal_latitude: 0.0\nsatellite_nominal_longitude: 9.5\n",
+    "WV_062_platform_name": "Meteosat-10",
+    "WV_062_reader": "seviri_l1b_native",
+    "WV_062_resolution": 3000.403165817,
+    "WV_062_sensor": "seviri",
+    "WV_062_standard_name": "toa_brightness_temperature",
+    "WV_062_start_time": "2019-12-31T23:55:07.772388",
+    "WV_062_units": "K",
+    "WV_062_wavelength": [
+        5.35,
+        6.25,
+        7.15,
+        "\u00b5m"
+    ],
+    "WV_073__satpy_id": "!!python/object/apply:satpy.dataset.dataid._unpickle\n- calibration:\n    enum:\n    - reflectance\n    - brightness_temperature\n    - radiance\n    - counts\n    transitive: true\n  modifiers:\n    default: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n    - !!python/tuple []\n    type: !!python/name:satpy.dataset.dataid.ModifierTuple ''\n  name:\n    required: true\n  resolution:\n    transitive: false\n  wavelength:\n    type: !!python/name:satpy.dataset.dataid.WavelengthRange ''\n- calibration: brightness_temperature\n  modifiers: !!python/object/new:satpy.dataset.dataid.ModifierTuple\n  - !!python/tuple []\n  name: WV_073\n  resolution: 3000.403165817\n  wavelength: !!python/object/new:satpy.dataset.dataid.WavelengthRange\n  - 6.85\n  - 7.35\n  - 7.85\n  - \"\\xB5m\"\n",
+    "WV_073_ancillary_variables": [],
+    "WV_073_area": "msg_seviri_rss_3km:\n  description: MSG SEVIRI Rapid Scanning Service area definition with 3 km resolution\n  projection:\n    proj: geos\n    lon_0: 9.5\n    h: 35785831\n    x_0: 0\n    y_0: 0\n    a: 6378169\n    rf: 295.488065897014\n    no_defs: null\n    type: crs\n  shape:\n    height: 1392\n    width: 3712\n  area_extent:\n    lower_left_xy: [5567248.074173927, 5570248.477339745]\n    upper_right_xy: [-5570248.477339745, 1393687.2705221176]\n    units: m\n",
+    "WV_073_calibration": "brightness_temperature",
+    "WV_073_end_time": "2020-01-01T00:00:07.676580",
+    "WV_073_georef_offset_corrected": "True",
+    "WV_073_modifiers": [],
+    "WV_073_name": "WV_073",
+    "WV_073_orbital_parameters": "projection_altitude: 35785831.0\nprojection_latitude: 0.0\nprojection_longitude: 9.5\nsatellite_actual_altitude: 35785194.01716657\nsatellite_actual_latitude: 0.9667690739053058\nsatellite_actual_longitude: 9.345990336803867\nsatellite_nominal_latitude: 0.0\nsatellite_nominal_longitude: 9.5\n",
+    "WV_073_platform_name": "Meteosat-10",
+    "WV_073_reader": "seviri_l1b_native",
+    "WV_073_resolution": 3000.403165817,
+    "WV_073_sensor": "seviri",
+    "WV_073_standard_name": "toa_brightness_temperature",
+    "WV_073_start_time": "2019-12-31T23:55:07.772388",
+    "WV_073_units": "K",
+    "WV_073_wavelength": [
+        6.85,
+        7.35,
+        7.85,
+        "\u00b5m"
+    ],
+    "_ARRAY_DIMENSIONS": [
+        "time",
+        "y_geostationary",
+        "x_geostationary",
+        "variable"
+    ],
+    "ancillary_variables": [],
+    "area": "msg_seviri_rss_3km:\n  description: MSG SEVIRI Rapid Scanning Service area definition with 3 km resolution\n  projection:\n    proj: geos\n    lon_0: 9.5\n    h: 35785831\n    x_0: 0\n    y_0: 0\n    a: 6378169\n    rf: 295.488065897014\n    no_defs: null\n    type: crs\n  shape:\n    height: 1392\n    width: 3712\n  area_extent:\n    lower_left_xy: [5567248.074173927, 5570248.477339745]\n    upper_right_xy: [-5570248.477339745, 1393687.2705221176]\n    units: m\n",
+    "end_time": "2020-01-01T00:00:00",
+    "georef_offset_corrected": "True",
+    "modifiers": [],
+    "orbital_parameters": "projection_altitude: 35785831.0\nprojection_latitude: 0.0\nprojection_longitude: 9.5\nsatellite_actual_altitude: 35785194.01716657\nsatellite_actual_latitude: 0.9667690739053058\nsatellite_actual_longitude: 9.345990336803867\nsatellite_nominal_latitude: 0.0\nsatellite_nominal_longitude: 9.5\n",
+    "platform_name": "Meteosat-10",
+    "reader": "seviri_l1b_native",
+    "resolution": 3000.403165817,
+    "sensor": "seviri",
+    "start_time": "2019-12-31T23:55:07.772388"
+}
\ No newline at end of file
diff --git a/psp/tests/fixtures/satellite.zarr/data/0.0.0.0 b/psp/tests/fixtures/satellite.zarr/data/0.0.0.0
new file mode 100644
index 00000000..a7642980
Binary files /dev/null and b/psp/tests/fixtures/satellite.zarr/data/0.0.0.0 differ
diff --git a/psp/tests/fixtures/satellite.zarr/time/.zarray b/psp/tests/fixtures/satellite.zarr/time/.zarray
new file mode 100644
index 00000000..6f3c7293
--- /dev/null
+++ b/psp/tests/fixtures/satellite.zarr/time/.zarray
@@ -0,0 +1,20 @@
+{
+    "chunks": [
+        24320
+    ],
+    "compressor": {
+        "blocksize": 0,
+        "clevel": 5,
+        "cname": "lz4",
+        "id": "blosc",
+        "shuffle": 1
+    },
+    "dtype": "<i8",
+    "fill_value": null,
+    "filters": null,
+    "order": "C",
+    "shape": [
+        1549
+    ],
+    "zarr_format": 2
+}
\ No newline at end of file
diff --git a/psp/tests/fixtures/satellite.zarr/time/.zattrs b/psp/tests/fixtures/satellite.zarr/time/.zattrs
new file mode 100644
index 00000000..027eb959
--- /dev/null
+++ b/psp/tests/fixtures/satellite.zarr/time/.zattrs
@@ -0,0 +1,7 @@
+{
+    "_ARRAY_DIMENSIONS": [
+        "time"
+    ],
+    "calendar": "proleptic_gregorian",
+    "units": "nanoseconds since 1970-01-01"
+}
\ No newline at end of file
diff --git a/psp/tests/fixtures/satellite.zarr/time/0 b/psp/tests/fixtures/satellite.zarr/time/0
new file mode 100644
index 00000000..4895d56f
Binary files /dev/null and b/psp/tests/fixtures/satellite.zarr/time/0 differ
diff --git a/psp/tests/fixtures/satellite.zarr/variable/.zarray b/psp/tests/fixtures/satellite.zarr/variable/.zarray
new file mode 100644
index 00000000..7f2bb47e
--- /dev/null
+++ b/psp/tests/fixtures/satellite.zarr/variable/.zarray
@@ -0,0 +1,20 @@
+{
+    "chunks": [
+        11
+    ],
+    "compressor": {
+        "blocksize": 0,
+        "clevel": 5,
+        "cname": "lz4",
+        "id": "blosc",
+        "shuffle": 1
+    },
+    "dtype": "<U6",
+    "fill_value": null,
+    "filters": null,
+    "order": "C",
+    "shape": [
+        4
+    ],
+    "zarr_format": 2
+}
\ No newline at end of file
diff --git a/psp/tests/fixtures/satellite.zarr/variable/.zattrs b/psp/tests/fixtures/satellite.zarr/variable/.zattrs
new file mode 100644
index 00000000..c006e0ba
--- /dev/null
+++ b/psp/tests/fixtures/satellite.zarr/variable/.zattrs
@@ -0,0 +1,5 @@
+{
+    "_ARRAY_DIMENSIONS": [
+        "variable"
+    ]
+}
\ No newline at end of file
diff --git a/psp/tests/fixtures/satellite.zarr/variable/0 b/psp/tests/fixtures/satellite.zarr/variable/0
new file mode 100644
index 00000000..40f0babf
Binary files /dev/null and b/psp/tests/fixtures/satellite.zarr/variable/0 differ
diff --git a/psp/tests/fixtures/satellite.zarr/x_geostationary/.zarray b/psp/tests/fixtures/satellite.zarr/x_geostationary/.zarray
new file mode 100644
index 00000000..5cb8cc2c
--- /dev/null
+++ b/psp/tests/fixtures/satellite.zarr/x_geostationary/.zarray
@@ -0,0 +1,20 @@
+{
+    "chunks": [
+        3712
+    ],
+    "compressor": {
+        "blocksize": 0,
+        "clevel": 5,
+        "cname": "lz4",
+        "id": "blosc",
+        "shuffle": 1
+    },
+    "dtype": "<f8",
+    "fill_value": "NaN",
+    "filters": null,
+    "order": "C",
+    "shape": [
+        30
+    ],
+    "zarr_format": 2
+}
\ No newline at end of file
diff --git a/psp/tests/fixtures/satellite.zarr/x_geostationary/.zattrs b/psp/tests/fixtures/satellite.zarr/x_geostationary/.zattrs
new file mode 100644
index 00000000..10ee5981
--- /dev/null
+++ b/psp/tests/fixtures/satellite.zarr/x_geostationary/.zattrs
@@ -0,0 +1,7 @@
+{
+    "_ARRAY_DIMENSIONS": [
+        "x_geostationary"
+    ],
+    "coordinate_reference_system": "geostationary",
+    "units": "meter"
+}
\ No newline at end of file
diff --git a/psp/tests/fixtures/satellite.zarr/x_geostationary/0 b/psp/tests/fixtures/satellite.zarr/x_geostationary/0
new file mode 100644
index 00000000..137907ca
Binary files /dev/null and b/psp/tests/fixtures/satellite.zarr/x_geostationary/0 differ
diff --git a/psp/tests/fixtures/satellite.zarr/y_geostationary/.zarray b/psp/tests/fixtures/satellite.zarr/y_geostationary/.zarray
new file mode 100644
index 00000000..0fc6ca6b
--- /dev/null
+++ b/psp/tests/fixtures/satellite.zarr/y_geostationary/.zarray
@@ -0,0 +1,20 @@
+{
+    "chunks": [
+        1392
+    ],
+    "compressor": {
+        "blocksize": 0,
+        "clevel": 5,
+        "cname": "lz4",
+        "id": "blosc",
+        "shuffle": 1
+    },
+    "dtype": "<f8",
+    "fill_value": "NaN",
+    "filters": null,
+    "order": "C",
+    "shape": [
+        45
+    ],
+    "zarr_format": 2
+}
\ No newline at end of file
diff --git a/psp/tests/fixtures/satellite.zarr/y_geostationary/.zattrs b/psp/tests/fixtures/satellite.zarr/y_geostationary/.zattrs
new file mode 100644
index 00000000..eb85b7fc
--- /dev/null
+++ b/psp/tests/fixtures/satellite.zarr/y_geostationary/.zattrs
@@ -0,0 +1,7 @@
+{
+    "_ARRAY_DIMENSIONS": [
+        "y_geostationary"
+    ],
+    "coordinate_reference_system": "geostationary",
+    "units": "meter"
+}
\ No newline at end of file
diff --git a/psp/tests/fixtures/satellite.zarr/y_geostationary/0 b/psp/tests/fixtures/satellite.zarr/y_geostationary/0
new file mode 100644
index 00000000..8a2ba1c1
Binary files /dev/null and b/psp/tests/fixtures/satellite.zarr/y_geostationary/0 differ
diff --git a/psp/tests/models/test_load_models.py b/psp/tests/models/test_load_models.py
index 043956fb..b9bc16a4 100644
--- a/psp/tests/models/test_load_models.py
+++ b/psp/tests/models/test_load_models.py
@@ -10,7 +10,10 @@
 
 # We ran the test once to get the results and pasted here the results.
 # This way we can make sure the output of previous models doesn't change.
-EXPECTED_OUTPUT = {"model_v8": [77.446404, 78.650178, 79.028029, 96.746425, 95.17781]}
+EXPECTED_OUTPUT = {
+    "model_v8": [77.446404, 78.650178, 79.028029, 96.746425, 95.17781],
+    "model_v9": [67.522277, 68.571797, 68.901229, 78.870112, 77.591338],
+}
 
 
 def test_old_models_sanity_check():
@@ -22,11 +25,12 @@ def test_old_models_sanity_check():
     assert sorted(models) == sorted(EXPECTED_OUTPUT)
 
 
-def _test_model(model_path, expected, pv_data_source, nwp_data_sources):
+def _test_model(model_path, expected, pv_data_source, nwp_data_sources, sat_data_source=None):
     model = load_model(model_path)
     model.set_data_sources(
         pv_data_source=pv_data_source,
         nwp_data_sources=nwp_data_sources,
+        sat_data_sources=sat_data_source,
     )
 
     pv_id = pv_data_source.list_pv_ids()[0]
@@ -40,14 +44,14 @@ def _test_model(model_path, expected, pv_data_source, nwp_data_sources):
     assert_allclose(output.powers, expected, atol=1e-6)
 
 
-@pytest.mark.parametrize("model_name,expected", list(EXPECTED_OUTPUT.items()))
+@pytest.mark.parametrize("model_name,expected", [("model_v8", EXPECTED_OUTPUT["model_v8"])])
 def test_old_models(model_name, expected, pv_data_source, nwp_data_sources):
     """Make sure that we can load previously trained models."""
     model_path = f"psp/tests/fixtures/models/{model_name}.pkl"
     _test_model(model_path, expected, pv_data_source, nwp_data_sources)
 
 
-def test_latest_model(tmp_path, pv_data_source, nwp_data_sources):
+def test_latest_model(tmp_path, pv_data_source, nwp_data_sources, satellite_data_sources):
     """Make sure that when we train a model using the "test_config1.py" we get a model
     that behaves the same as our last fixture model (see the keys of `EXPECTED_OUTPUT`).
 
@@ -75,4 +79,5 @@ def test_latest_model(tmp_path, pv_data_source, nwp_data_sources):
         list(EXPECTED_OUTPUT.values())[-1],
         pv_data_source,
         nwp_data_sources,
+        satellite_data_sources,
     )
diff --git a/psp/tests/models/test_recent_history.py b/psp/tests/models/test_recent_history.py
index 986073df..08552766 100644
--- a/psp/tests/models/test_recent_history.py
+++ b/psp/tests/models/test_recent_history.py
@@ -121,7 +121,6 @@ def test_predict_with_features_in_wrong_order(pv_data_source, nwp_data_source, r
     # variables are the same).
     all_close = True
     for ts in pd.date_range(dt.datetime(2020, 1, 6, 10), dt.datetime(2020, 1, 10, 10), freq="24h"):
-
         # # This ensures the nwp fixture passed for the test is a dictionary
         # if isinstance(self._nwp_data_sources, dict):
         #     pass
@@ -129,7 +128,6 @@ def test_predict_with_features_in_wrong_order(pv_data_source, nwp_data_source, r
         #     self._nwp_data_sources = dict(nwp_data_source = self._nwp_data_sources)
 
         for pv_id in ["8215", "8229"]:
-
             y1 = _predict(pv_data_source, nwp_data_source, ts=ts, pv_id=pv_id)
 
             variables = list(nwp_data_source._data.coords["variable"].values)
diff --git a/psp/tests/test_gis.py b/psp/tests/test_gis.py
index 30f965f3..09ff4443 100644
--- a/psp/tests/test_gis.py
+++ b/psp/tests/test_gis.py
@@ -49,3 +49,19 @@ def test_coordinate_transformer(coord1, coord2, input_points, expected_points):
     assert len(new_points) == len(expected_points)
     for p1, p2 in zip(expected_points, new_points):
         assert_allclose(p1, p2, atol=1e-10)
+
+
+def test_coordinate_transformer_lat_lon_lat_lon():
+    transform = CoordinateTransformer(4326, 4326)
+
+    points = [(50, -1), (54, 1)]
+
+    new_points = transform(points)
+
+    assert len(new_points) == len(points)
+    for p1, p2 in zip(points, new_points):
+        assert_allclose(p1, p2, atol=1e-10)
+
+    transform = CoordinateTransformer(27700, 4326)
+    new_points = transform(points)
+    transform = CoordinateTransformer(4326, 27700)
diff --git a/pyproject.toml b/pyproject.toml
index 845b18ad..2c74fd93 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -33,6 +33,7 @@ streamlit = "^1.24.1"
 plotly = "^5.15.0"
 streamlit-extras = "^0.2.7"
 streamlit-option-menu = "^0.3.6"
+pyresample = "^1.27.1"
 
 
 [tool.poetry.group.dev.dependencies]