Lisflood OS - LISFLOOD
Datasets, code and virtual workspace for the Climate Change ATLAS
PyPRECIS is the python based training environment for Met Office PRECIS training courses.
CAVAanalytics is a comprehensive framework for climate data analysis, offering streamlined access to data, advanced processing and visualization capabilities. It is designed to support a wide range of climate research and user needs
Lisflood OS (LISVAP)
Lisflood OS (Model Documentation)
Python scripts used to evaluate the ability of various RCM (CORDEX) and GCM models to hindcast climatic variables in Malawi. Specifically Temperature (mean, max and min) and Precipitation. These scripts were used for the paper Warnatzsch and Reay (2019). Temperature and precipitation change in Malawi: Evaluation of CORDEX-Africa climate simulati…
Python tools for the Copernicus Climate Change Service (C3S) to analyze, model, and attribute extreme weather events to climate change. Features data processing, trend analysis, and circulation analogues.
Scripts to read from climate datasets in netCDF and ssv. Supports CORDEX, HWD, Temp Stats, TRY and Hostrada.
Python scripts used for paper Warnatzsch and Reay (2019). Assessing Climate Change Projections and Impacts on Central Malawi’s Maize Yield: The Risk of Maladaptation (https://doi.org/10.1016/j.scitotenv.2019.134845). These files were created as part of a NERC funded PhD project. Erika Warnatzsch was funded by a NERC doctoral training partnership…
Repository supporting the results presented in the manuscript on Downscaling Multi-Model Climate Projection Ensembles with Deep Learning (DeepESD): Contribution to CORDEX EUR-44
Code for importing and compatibly formatting data from various sources used during my PhD.
Tool for fixing and rehoming climate experiment NC files.
Convert netCDF temperature data to CRF multidimensional raster
A WPS Compute Service for Copernicus Climate Data Store
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