ndugu-nelson/ClimSav

Climate Foundational Model for East African Regions # ClimSav This repository hosts a climate model codenamed *ClimSav*, tailored for East African regions. Using advanced climate data and predictive analytics, it provides crucial insights into regional climate patterns, extreme weather events, and long-term climate trends. Designed for researchers, policymakers, and practitioners, this model aims to enhance climate resilience and support sustainable development initiatives in East Africa. *ClimSav* is an advanced climate model built upon the insights of an existing *ClimaX*, with significant innovations tailored for East African regions. This model incorporates not only the foundational aspects of *ClimaX* but also introduces enhancements specifically designed for the region, including precipitation prediction and corresponding precipitation probabilities. ## Features - **East Africa Focus**: Adapted to provide precise climate insights and predictions specifically for East African regions. - **Precipitation Prediction**: Includes predictions for precipitation levels along with their corresponding percentages, offering a detailed view of rainfall patterns. - **Enhanced Spatial Resolution**: Utilizes both coarse and fine spatial resolutions to improve the accuracy and granularity of climate predictions. ## The available Data Resolutions ### 5.625° Data The **5.625° data** refers to climate data that is spatially resolved with a grid spacing of 5.625 degrees. This means that each grid cell represents an area of approximately 5.625 degrees of latitude by 5.625 degrees of longitude. This resolution provides a coarser view of the climate, suitable for broader-scale modeling and analysis. ### 1.40625° Data The **1.40625° data** refers to climate data with a finer spatial resolution of 1.40625 degrees. Each grid cell represents an area of approximately 1.40625 degrees of latitude by 1.40625 degrees of longitude. This higher resolution offers a more detailed view of the climate, capturing finer spatial variations and …