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NHyFAS Data

Summary

The NASA Hydrological Forecast and Analysis System (NHyFAS; Arsenault et al., 2020) was developed to provide seasonal drought forecasts that are relevant for USAID and USACE activities in the Middle East and Africa, based on existing NASA Earth science capabilities. Primary goals include: (1) supporting USAID’s Famine Early Warning Systems Network (FEWS NET) to better predict water supply deficits related to agricultural drought and food insecurity, and (2) provide indicators related to forecasted hydrological anomalies and conditions.

Disclaimer:  The below figures and forecast information are provisionally provided as experimental, and these products are for reference only and at user-own discretion and risk.

Displaying Items 1 - 10 of 26

Streamflow : East Africa

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Monthly Streamflow Anomaly Forecasts

Variable:
  • Streamflow
  • 3-Month Aggregate Root Zone Soil Moisture: East Africa

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    3-Month Aggregate Root Zone Soil Moisture Percentile (upper left), Anomaly (upper right), and Standardized Anomaly (lower left) Forecasts

    Variable:
  • Root Zone Soil Moisture
  • Probabilistic Forecasts for Root Zone Soil Moisture: East Africa

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    Monthly Root Zone Soil Moisture Forecast Probabilities for ESP (left) and NMME (right)

     

    The likelihood of departure from normal maps above are based on hydrologic forecast ensembles comprised of 36 members (1982-2017) for ESP and all members for NMME. These maps indicate the forecast probability (in %) of the given hydrologic variable (e.g. root zone soil moisture) being in “Above Normal” (>67 percentile), “Normal” (between 33 to 67 percentile) and “Below Normal” (<33 percentile).

    Variable:
  • Root Zone Soil Moisture
  • Root Zone Soil Moisture: East Africa

    Click on above figure for larger image.

    Monthly Root Zone Soil Moisture Percentile (upper left), Anomaly (upper right), and Standardized Anomaly (lower left) Forecasts

    Variable:
  • Root Zone Soil Moisture
  • Soil Percent Saturation : East Africa

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    Monthly Root Zone Soil (left) and Surface Soil (right) Percent Saturation Forecasts

     

    Percent saturation is calculated as 100*(volumetric soil moisture)/(volumetric soil porosity).

    Variable:
  • Soil Percent Saturation
  • 3-Month Aggregate Surface Soil Moisture: East Africa

    Click on above figure for larger image.

    3-Month Aggregate Surface Soil Moisture Percentile (upper left), Anomaly (upper right), and Standardized Anomaly (lower left) Forecasts

    Variable:
  • Surface Soil Moisture
  • Surface Soil Moisture: East Africa

    Click on above figure for larger image.

    Monthly Surface Soil Moisture Percentile (upper left), Anomaly (upper right), and Standardized Anomaly (lower left) Forecasts

    Variable:
  • Surface Soil Moisture
  • Streamflow : Southern Africa

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    Monthly Streamflow Anomaly Forecasts

    Variable:
  • Streamflow
  • 3-Month Aggregate Root Zone Soil Moisture: Southern Africa

    Click on above figure for larger image.

    3-Month Aggregate Root Zone Soil Moisture Percentile (upper left), Anomaly (upper right), and Standardized Anomaly (lower left) Forecasts

    Variable:
  • Root Zone Soil Moisture
  • Probabilistic Forecasts For Root Zone Soil Moisture: Southern Africa

    Click on above figure for larger image.

    Monthly Root Zone Soil Moisture Forecast Probabilities for ESP (left) and NMME (right)

     

    The likelihood of departure from normal maps above are based on hydrologic forecast ensembles comprised of 36 members (1982-2017) for ESP and all members for NMME. These maps indicate the forecast probability (in %) of the given hydrologic variable (e.g. root zone soil moisture) being in “Above Normal” (>67 percentile), “Normal” (between 33 to 67 percentile) and “Below Normal” (<33 percentile).

    Variable:
  • Root Zone Soil Moisture
  • Contact: Abheera Hazra (UMD/ESSIC; NASA/GSFC), Kristi Arsenault (SAIC; NASA/GSFC) or S. Shukla (UCSB) for more information.

    References

    • Arsenault, K.R., and Coauthors, 2020: The NASA hydrological forecast system for food and water security applications. Bull. Amer. Meteor. Soc., 101, E1007–E1025, https://doi.org/10.1175/BAMS-D-18-0264.1.
    • Shukla, S., and Coauthors, 2020: Improving early warning of drought-driven food insecurity in southern Africa using operational hydrological monitoring and forecasting products. Nat. Hazards Earth Syst. Sci., 20, 1187-1201, https://doi.org/10.5194/nhess-20-1187-2020

    Original project details: The original project, Forecasting for Africa and the Middle East (FAME), was funded by the NASA Applied Sciences Program and included partners from NASA, USAID, USGS, UCSB, Johns Hopkins University, ICBA, and DoD/ERDC.  Details of the original project can be found here.