Drought is a prolonged and widespread deficit in available water supplies that creates multiple stressors across ecosystems and communities. The U.S. Geological Survey Water Mission Area conducts drought research and modeling to improve drought prediction capabilities. The research focus is on understanding the hydrological, ecological, and economic ramifications of drought. The modeling focus builds on the research to provide predictive capacity for resilience planning at local, regional, and national levels. Prediction of the onset, severity, and duration of hydrologic drought conditions is critical for the USGS to identify and evaluate multi-sector responses to alterations in water availability.
The U.S. Geological Survey drought prediction science capacity includes monitoring, research, and modeling. Long-term water monitoring has allowed for identification of drought periods in the context of climatic variability and change, and for statistical trend analysis of continuous data to support earlier and more accurate detection of low-flow and drought conditions. Recent drought science research has focused on modeling and analysis of drivers of hydrologic drought.
In addition, the U.S. Geological Survey is exploring the usage of new data-driven methods (artificial intelligence and machine learning) to predict and deliver early warning of hydrological drought conditions at higher spatial and temporal resolution than currently available. These data-driven drought prediction models will provide useful information to stakeholders on drought onset, duration, and severity metrics (and their uncertainty) for surface water and groundwater.
Ongoing scientific inquiries and activities to support drought characterization and prediction include:
- Supporting the assimilation, screening, analysis, publication, archiving, and delivery of drought data from USGS and other sources;
- Developing stakeholder-relevant hydrologic drought metrics;
- Describing uncertainties associated with drought causes and effects;
- Incorporating the drivers of flash drought into predictive modeling;
- Establishing links between the effects of drought on wildfire, floods, and water quality; and,
- Developing regional- and national-scale prototype maps that will display streamflow drought conditions as well as predictions for weeks to months in advance.
Recent publications:
-
Wieczorek, M.E., Hafen, K.C., and Staub, L.E. (2023) Data-Driven Drought Prediction Project Model Inputs for Upper and Lower Colorado Portions of the National Hydrologic Geo-Spatial Fabric version 1.1 and Select U.S. Geological Survey Streamgage Basins: U.S. Geological Survey data release, https://doi.org/10.5066/P98IG8LO
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Hamshaw, S.D., Sando, R.R., Goodling, P.J., McShane, R.R., Watkins, W., and White, E. (2023) Data-Driven Drought Prediction Project Model Outputs for Select Spatial Units within the Conterminous United States: U.S. Geological Survey data release, https://doi.org/10.5066/P97NIH7Y
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Hamshaw, S., Goodling, P., Hafen, K., Hammond, J., McShane, R., Sando, R., Shastry, A., Simeone, C., Watkins, D., White, E., and Wieczorek, M. (2023) Regional Streamflow Drought Forecasting in the Colorado River Basin using Deep Neural Network Models: SEDHYD 2023 Conference, St. Louis, MO, May 8-12, 2023, https://www.sedhyd.org/2023Program/1/181.pdf
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Hammond, J. C., Simeone, C., Hecht, J. S., Hodgkins, G. A., Lombard, M., McCabe, G., et al. (2022) Going beyond low flows: Streamflow drought deficit and duration illuminate distinct spatiotemporal drought patterns and trends in the U.S. during the last century. Water Resources Research, 58, e2022WR031930. https://doi.org/10.1029/2022WR031930
- McCabe, G. J., and Wolock, D. M. (2022) Extensive Droughts in the Conterminous United States during Multiple Centuries. Earth Interactions, 26(1), 84-93. https://doi.org/10.1175/EI-D-21-0021.1
- Gangopadhyay, S., Woodhouse, C. A., McCabe, G. J., Routson, C. C., and Meko, D. M. (2022) Tree Rings Reveal Unmatched 2nd Century Drought in the Colorado River Basin. Geophysical Research Letters, 49, e2022GL098781. https://doi.org/10.1029/2022GL098781
- McCabe, G. J., Wolock, D. M., Lombard, M., Dudley, R. W., Hammond, J. C., Hecht, J. S., Hodgkins, G. A., Olson, C., Sando, R., Simeone, C., and Wieczorek, M. (2022). A Hydrologic Perspective of Major U.S. Droughts. International Journal of Climatology, 1– 17. https://doi.org/10.1002/joc.7904
Data releases related to U.S. Geological Survey drought prediction science.
Streamflow Drought Metrics for Select United States Geological Survey Streamgages for Three Different Time Periods from 1921 - 2020
U.S. Streamflow Drought During the Last Century: annual drought and low flow metrics, annual climate, and trends for the periods 1921-2020, 1951-2020 and 1981-2020
USGS monthly water balance model inputs and outputs for the conterminous United States, 1895-2020, based on ClimGrid data
Clusters of monthly streamflow values with similar temporal patterns at 555 HCDN sites for the period 1981 to 2019
Publications related to U.S. Geological Survey drought prediction science.
A hydrologic perspective of major U.S. droughts
Going beyond low flows: Streamflow drought deficit and duration illuminate distinct spatiotemporal drought patterns and trends in the U.S. during the last century
Tree rings reveal unmatched 2nd century drought in the Colorado River Basin
Extensive droughts in the conterminous United States during multiple centuries
Drought is a prolonged and widespread deficit in available water supplies that creates multiple stressors across ecosystems and communities. The U.S. Geological Survey Water Mission Area conducts drought research and modeling to improve drought prediction capabilities. The research focus is on understanding the hydrological, ecological, and economic ramifications of drought. The modeling focus builds on the research to provide predictive capacity for resilience planning at local, regional, and national levels. Prediction of the onset, severity, and duration of hydrologic drought conditions is critical for the USGS to identify and evaluate multi-sector responses to alterations in water availability.
The U.S. Geological Survey drought prediction science capacity includes monitoring, research, and modeling. Long-term water monitoring has allowed for identification of drought periods in the context of climatic variability and change, and for statistical trend analysis of continuous data to support earlier and more accurate detection of low-flow and drought conditions. Recent drought science research has focused on modeling and analysis of drivers of hydrologic drought.
In addition, the U.S. Geological Survey is exploring the usage of new data-driven methods (artificial intelligence and machine learning) to predict and deliver early warning of hydrological drought conditions at higher spatial and temporal resolution than currently available. These data-driven drought prediction models will provide useful information to stakeholders on drought onset, duration, and severity metrics (and their uncertainty) for surface water and groundwater.
Ongoing scientific inquiries and activities to support drought characterization and prediction include:
- Supporting the assimilation, screening, analysis, publication, archiving, and delivery of drought data from USGS and other sources;
- Developing stakeholder-relevant hydrologic drought metrics;
- Describing uncertainties associated with drought causes and effects;
- Incorporating the drivers of flash drought into predictive modeling;
- Establishing links between the effects of drought on wildfire, floods, and water quality; and,
- Developing regional- and national-scale prototype maps that will display streamflow drought conditions as well as predictions for weeks to months in advance.
Recent publications:
-
Wieczorek, M.E., Hafen, K.C., and Staub, L.E. (2023) Data-Driven Drought Prediction Project Model Inputs for Upper and Lower Colorado Portions of the National Hydrologic Geo-Spatial Fabric version 1.1 and Select U.S. Geological Survey Streamgage Basins: U.S. Geological Survey data release, https://doi.org/10.5066/P98IG8LO
-
Hamshaw, S.D., Sando, R.R., Goodling, P.J., McShane, R.R., Watkins, W., and White, E. (2023) Data-Driven Drought Prediction Project Model Outputs for Select Spatial Units within the Conterminous United States: U.S. Geological Survey data release, https://doi.org/10.5066/P97NIH7Y
-
Hamshaw, S., Goodling, P., Hafen, K., Hammond, J., McShane, R., Sando, R., Shastry, A., Simeone, C., Watkins, D., White, E., and Wieczorek, M. (2023) Regional Streamflow Drought Forecasting in the Colorado River Basin using Deep Neural Network Models: SEDHYD 2023 Conference, St. Louis, MO, May 8-12, 2023, https://www.sedhyd.org/2023Program/1/181.pdf
-
Hammond, J. C., Simeone, C., Hecht, J. S., Hodgkins, G. A., Lombard, M., McCabe, G., et al. (2022) Going beyond low flows: Streamflow drought deficit and duration illuminate distinct spatiotemporal drought patterns and trends in the U.S. during the last century. Water Resources Research, 58, e2022WR031930. https://doi.org/10.1029/2022WR031930
- McCabe, G. J., and Wolock, D. M. (2022) Extensive Droughts in the Conterminous United States during Multiple Centuries. Earth Interactions, 26(1), 84-93. https://doi.org/10.1175/EI-D-21-0021.1
- Gangopadhyay, S., Woodhouse, C. A., McCabe, G. J., Routson, C. C., and Meko, D. M. (2022) Tree Rings Reveal Unmatched 2nd Century Drought in the Colorado River Basin. Geophysical Research Letters, 49, e2022GL098781. https://doi.org/10.1029/2022GL098781
- McCabe, G. J., Wolock, D. M., Lombard, M., Dudley, R. W., Hammond, J. C., Hecht, J. S., Hodgkins, G. A., Olson, C., Sando, R., Simeone, C., and Wieczorek, M. (2022). A Hydrologic Perspective of Major U.S. Droughts. International Journal of Climatology, 1– 17. https://doi.org/10.1002/joc.7904
Data releases related to U.S. Geological Survey drought prediction science.
Streamflow Drought Metrics for Select United States Geological Survey Streamgages for Three Different Time Periods from 1921 - 2020
U.S. Streamflow Drought During the Last Century: annual drought and low flow metrics, annual climate, and trends for the periods 1921-2020, 1951-2020 and 1981-2020
USGS monthly water balance model inputs and outputs for the conterminous United States, 1895-2020, based on ClimGrid data
Clusters of monthly streamflow values with similar temporal patterns at 555 HCDN sites for the period 1981 to 2019
Publications related to U.S. Geological Survey drought prediction science.