essd2023

Plotting code for figures in paper "A Global Gridded Dataset for Cloud Vertical Structure from Combined CloudSat and CALIPSO Observations" in Earth System Science Data, 2023.

Repository contains interactive Jupyter notebook for plotting and data files. More information is stored in these files than is shown in figues (e.g. timeseries vs all-time means), so there is some potential for adjusting plots to explore the data in more detail, especially with the validation figures.

The data product is available for download on zenodo, and code examples for working with the data product are available here.

setup

on binder

1. Click the Binder badge at the top of this file to use the notebook remotely in browser. Note it can take a while to spin up if nobody has launched it recently (up to 30 minutes during testing).

on local machine

1. Download repository

git clone https://github.com/bertrandclim/essd2023

2. Create environment

conda env create -f ./essd2023/environment.yml

3. Launch environment

conda activate essd2023

4. Install Jupyter Lab

conda install -c conda-forge jupyterlab

5. Launch Jupyter Lab (or Jupyter notebook)

jupyter-lab

6. Open 9-9_ESSD-figs-export_R2R_oct26.ipynb. Click run -> run all cells.