This project conducts signal decomposition on spatiotemporal data, such as hydrological data that varies spatially across grids over a specific period. The decomposition process is applied to terrestrial water storage anomaly (TWSA) data from the GRACE satellite mission.
My first RShiny-WebApp for different laboratory estimations and scores
This repo applies STLplus to GRACE/GRACE-FO TWSA data from CSR (Center for Space Research) with a 0.25-degree spatial resolution and a one-month temporal resolution. STLplus is an improved decomposition approach of seasonal and trend decomposition using Loess (STL) by Cleveland et al. (2019), developed by Ryan Hafen.
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