Predictive performance is one of the most important issues for practical applications of
ensemble hydroclimatic forecasts. While different forecasting studies tend to use different …

Ten years, 16 fully coupled global models, and hundreds of research papers later, the North
American Multimodel Ensemble (NMME) monthly-to-seasonal prediction system is looking …

CHIRPS-GEFS is an operational data set that provides daily bias-corrected forecasts for next
1-day to~ 15-day precipitation totals and anomalies at a quasi-global 50-deg N to 50-deg S …

Since 2015, Sub-Saharan Africa (SSA) has experienced an unprecedented rise in acute
food insecurity (AFI), and current projections for the year 2020 indicate that more than 100 …

Abstract Machine learning (ML) holds potential to predict hunger crises before they occur.
Yet, ML models embed crucial choices that affect their utility. We develop a prototype model …

Extreme rainfall can be a catastrophic trigger for natural disaster events at urban scales.
However, there remains large uncertainties as to how satellite precipitation can identify …

Groundwater (GW) is the main source of domestic water supply in Ethiopia (85%), however,
despite widespread acknowledgement of its potential for resource-based development and …

Existing approaches for predicting total water storage (TWS) rely on land surface or
hydrological models using meteorological forcing data. Yet, such models are more adept at …

Lack of in situ soil moisture over Greater Horn of Africa (GHA) has inhibited evaluation of
uncertainty and suitability of land surface model (LSM) and/or satellite-derived soil moisture …

River impoundments strongly modify the global water cycle and terrestrial water storage
(TWS) variability. Given the susceptibility of global water cycle to climate change and …