Logging reservoir level data from https://rain.cosbpw.net

Code for Benitez-Nelson et al. (unpublished), "Unsaturated zone water storage regulates recharge to groundwater and subsequent runoff response in seasonally dry California basins".

Plateforme d'anticipation des sécheresses à venir jusqu'en 2090.

Drought detection and prediction using the Standardized Precipitation Evapotranspiration Index (SPEI) in the region Germany.

NextGen In A Box: NextGen Generation Water Modeling Framework for Community Release (Docker version)

An R package for creating tables of hydrologic drought statistics by natural resource management area

A simple Python package to calculate and visualize some popular drought indices such as the SPI, SPEI and SGI.

This is the data and code to reproduce the results for the paper "Meta-analysis reveals that the effects of precipitation change on soil and litter fauna in forests depend on body size."

The "Drought Early Warning System's DataHub" (DEWS-DH) is a satellite datahub which is used to show and store satellite image data. Metrics like the NDVI or SMI are calculated on demand. The images are imported into a PostGIS database were they can be requested by third-party software for further processing.

Data and code for 'Investigating the drought sensitivity of intermontane-basin groundwater systems in western Montana using standardized drought indices' (Buckley, 2024)

Flex Drought Index

Website for PSInet: A Global Water Potential Network

This repo houses the data, analysis scripts and results for our rice diversity panel drought induced oxidative stress enzymes and markers GWAS project

Package R pour traiter les données ONDE de suivi des étiages en France

Investigating how carbon emissions, particulate matter, and climate variables/indices impact mortality from chronic respiratory disease. Working with pollutant, climate, mortality, population, and geographic datasets. Modeling with Random Forest regression.

Application of the ETS model to forecast rainfall patterns. Leveraging time-series analysis techniques, it predicts future rainfall levels by analyzing historical data specifically from Bahwalnagar District, Punjab, Pakistan.

Application of the ARIMA model to forecast rainfall patterns. Leveraging time-series analysis techniques, it predicts future rainfall levels by analyzing historical data specifically from Bahawalnagar District, Punjab, Pakistan.

Application of the ARIMA model to forecast PET patterns. Leveraging time-series analysis techniques, it predicts future rainfall levels by analyzing historical data specifically from Bahawalnagar District, Punjab, Pakistan.

Systematic assessment of the impacts of climate change on human pathogenic diseases

Quantification of global drought recovery probability based on Vine Copula