A rise in global average temperature could reduce grain yields and global food supplies. At the same time, global populations are growing and diets are changing increasing the demand for food production. The combination of decreasing food production in the face of increasing food demand may lead to increased famine.
The Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS) is a unique implementation of NASA’s Land Information System (LIS) and is intended to be used with FEWS NET to more effectively assess food security in developing countries where data is limited (McNally et al. 2017). FLDAS uses forcing data from multiple sources including Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) and Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS).
Evapotranspiration: Monthly total evapotranspiration (ET). Derived as the sum of canopy-intercepted evaporation, transpiration from vegetation canopies, and evaporation from bare soil (McNally et al. 2017). This value is derived using a Variable Infiltration Capacity hydrology model from Laing et al., 1994.
Surface Runoff: Precipitation minus the infiltration capacity of the top (0–10 cm) soil layer (McNally et al. 2017) derived using a Variable Infiltration Capacity hydrology model from Laing et al., 1994 (volume/area)
Total Runoff: Addition of surface and subsurface runoff (volume/area)
Surface Soil Moisture (10cm): Soil moisture storage in first 10cm of soil (volume/area)
Root Zone Soil Moisture (0-100cm): Soil moisture storage in first 100cm of soil (volume/area)
Snow Depth: Depth of snow
Snow Water Equivalent: Depth of water if snow were to melt completely (volume/area)
Period of Record
Amy McNally NASA/GSFC/HSL (2018), FLDAS Noah Land Surface Model L4 Global Monthly 0.1 x 0.1 degree (MERRA-2 and CHIRPS), Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed: [Data Access Date], 10.5067/5NHC22T9375G
McNally, A., Arsenault, K., Kumar, S., Shukla, S., Peterson, P., Wang, S., Funk, C., Peters-Lidard, C.D., & Verdin, J. P. (2017). A land data assimilation system for sub-Saharan Africa food and water security applications. Scientific Data, 4, 170012.
Liang, X., Lettenmaier, D., Wood, E. & Burges, S. A simple hydrologically based model of land surface water and energy fluxes for general circulation models. J. Geophys. Res. 99, 415–414 (1994).
End User License Agreement
Your license is subject to your prior acceptance of either this Licensed Application End User License Agreement (“Standard EULA”), or a custom end user license agreement between you and the Application Provider (“Custom EULA”), if one is provided.