Risk Team's repositories
CAVAanalytics
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
AquaCropPlotter
AquaCropPlotter is an R Shiny app for processing and visualizing FAO AquaCrop model output files.
ASIS-Prediction
This repository contains the logic and code behind the development of a Machine Learning model for agricultural drought prediction based on observational and climate model data
CaboV_workshop
This repository contains material and information for training in CAVA Analytics and other R libraries as part of the readiness programme
ISIMIP
This repository contains a script to easily download and process ISIMIP3 climate input data
Moldova-workshop
This repository contains slides and material used to train national stakeholders and extension workers on climate change and crop modeling as part of the readiness programme
pyAEZ-climate-module
function to create the climate data input requirements for pyAEZ using CAVA data