Drought
Research, Initiatives, and Products
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Drought occurs when an extended imbalance between water supply (precipitation) and water loss (evapotranspiration and/or human use) leads to an abnormal water deficit in critical hydrological components such as soils, streams, and reservoirs.
Drought poses a significant threat to the security and prosperity of the United States, both domestically and internationally, with far reaching consequences that include, but are not limited to:
- decreased agricultural yields;
- reduced water availability for consumption;
- hindered transportation such as low waterway levels and road/rail destablization; and
- wildfires.
These effects can make food and water insecurity worse, potentially leading to societal unrest (Kelley et al., 2026; Voice of America, 2011). The consequences are also financial. Between 1980 and 2024, drought-related economic losses in the U.S. amounted to nearly $370 billion (per National Centers for Environmental Information).
By conducting dedicated research, developing advanced predictive tools, and delivering key insights, PSL helps key community decision makers and local, state, and federal partners better anticipate and manage the effects of drought.
Initiatives and partnerships
PSL develops and improves on the evidence and delivery of early warning of drought and its compounding and cascading effects through impactful initiatives and partnerships.
Modernizing Drought Early Warning in the United States - Pilot Program
PSL leads an experimental drought resilience framework to produce sector-specific drought scenarios based on tailored monitoring and forecasting information, which will enable users to make proactive decisions ahead of drought. These sectors include water utilities, public health, and agriculture.
This pilot is being conducted in partnership with NOAA’s National Integrated Drought Information System, the California State Climatologist/California Department of Water Resources, NOAA’s National Weather Service and National Centers for Environmental Information, and the California-Nevada Adaptation Program (a NOAA CAP team)
Together the team delivers a user-oriented and evidence-based approach to drought early warning for sectors of our Nation’s economy susceptible to the hazards of too much and too little water.
Drought Early Warning pilot page (Drought.gov)
Piloting A Modern Approach to Drought Early Warning - PSL News
Famine Early Warning Systems Network (FEWS NET)
PSL leads the development of acute food insecurity scenarios based on current and evolving drought conditions in over 40 countries worldwide for the Department of State Famine Early Warning Systems Network. These scenarios inform decisions and responses in the world’s most food-insecure countries, including more accurate estimates of food aid.
FEWS NET (Dept. of State)
PSL FEWS NET page
FEWS NET monthly outlooks (Vimeo)
Experimental monitoring and forecasting products
The following experimental tools provide important data and visualizations to support the early warning of drought and its compounding and cascading effects.
Evaporative Demand Drought Index (EDDI)
EDDI quantifies the thirst of the atmosphere by measuring the demand of moisture from the land surface by the atmosphere. It is an especially useful tool for monitoring drought onset and providing early warning of conditions related to wildland fire.
Conditions Related to Large Wildland Fires in the United States
Documents historical drought conditions related to hundreds of large wildland fires in the United States that may provide insights into predicting the next large fires.
Vapor Pressure Deficit Forecasts
PSL provides experimental guidance on vapor pressure deficit (VPD) that is used to anticipate the potential for wildland fires. These forecasts are generated using a machine learning approach with a linear inverse model.
Subseasonal Precipitation Forecasts
Experimental subseasonal outlooks (weeks 1-4) showcase near real-time performance of conventional and deep-learning methods to calibrate raw precipitation accumulation forecasts from NOAA’s GEFSv12.
Monthly and Seasonal Forecasts
PSL provides experimental guidance on precipitation and temperature used to anticipate drought and its compounding and cascading effects.
ENSO-related Impacts
Documents historical conditions related to El Nino and La Nina across several global regions, which may be applied to future drought predictions.
Recent research and analysis
Weather whiplash in Texas: drought to
flood
PSL researchers analyzed the extreme transition from drought to flood in
central Texas in early July 2025 to improve understanding of "weather whiplash" extremes and advance early
warning and planning.
Seasonal Predictability of Vapor
Pressure Deficit in the western United States
As wildfire seasons grow longer, knowing what lies ahead is critical. This paper explains how vapor pressure
deficit (VPD) can be forecasted months ahead of time, potentially giving fire managers a critical head start
on resource planning. These forecasts are generated using a machine learning approach with a linear inverse
model.
Using
Deep Learning to Identify Initial Error Sensitivity for Interpretable ENSO Forecasts
Better drought prediction starts with better ENSO forecasting. This study unveils a 'glass box' AI
approach that doesn’t just predict El Niño and La Niña with high accuracy—it actually reveals the hidden
ocean and wind patterns that drive them, offering a major leap forward for regional climate preparedness.
Potential Predictability of Two-Year Droughts in the Missouri River
Basin
Predicting a single dry summer is hard enough; predicting two in a row is
even harder. This study identifies the specific 'March precursors'—including soil moisture and La Niña—that
signal a high risk of 2-year droughts in the vital Missouri River Basin.
Flash drought:
A state of the science review
A 'Flash drought' involves rapid onset, no
warning, and severe impacts. This state-of-the-science review unifies the science behind these fast-moving
climate events that have a significant effect on water security.
Rapid
Development of Systematic ENSO-Related Seasonal Forecast Errors
El Niño models
contain immediate, critical forecasting errors in the tropical Pacific, driven by the atmosphere rather than
the ocean. This "westward shift" in simulated temperatures is a key factor limiting accurate worldwide
seasonal weather prediction.