Global integrated drought monitoring and prediction system
Global integrated drought monitoring and prediction system
Z. Hao,A. Aghakouchak,N. Nakhjiri,A. Farahmand
TLDR
The results indicate that GIDMaPS data sets reliably captured several major droughts from across the globe, which would be instrumental in reducing drought impacts especially in developing countries.
Abstract
Drought is by far the most costly natural disaster that can lead to widespread impacts, including water and food crises. Here we present data sets available from the Global Integrated Drought Monitoring and Prediction System (GIDMaPS), which provides drought information based on multiple drought indicators. The system provides meteorological and agricultural drought information based on multiple satellite-, and model-based precipitation and soil moisture data sets. GIDMaPS includes a near real-time monitoring component and a seasonal probabilistic prediction module. The data sets include historical drought severity data from the monitoring component, and probabilistic seasonal forecasts from the prediction module. The probabilistic forecasts provide essential information for early warning, taking preventive measures, and planning mitigation strategies. GIDMaPS data sets are a significant extension to current capabilities and data sets for global drought assessment and early warning. The presented data sets would be instrumental in reducing drought impacts especially in developing countries. Our results indicate that GIDMaPS data sets reliably captured several major droughts from across the globe. Design Type(s) observation design • data integration Measurement Type(s) meteorological drought index • agricultural drought index • integrated meteorological and agricultural drought index Technology Type(s) data transformation Factor Type(s) observation period • temporal resolution • spatial resolution Sample Characteristic(s) Global location • North America • Terrestrial habitat Design Type(s) observation design • data integration Measurement Type(s) meteorological drought index • agricultural drought index • integrated meteorological and agricultural drought index Technology Type(s) data transformation Factor Type(s) observation period • temporal resolution • spatial resolution Sample Characteristic(s) Global location • North America • Terrestrial habitat Machine-accessible metadata file describing the reported data (ISA-Tab format)
