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Uncertainty analysis of the Operational Simplified Surface Energy Balance (SSEBop) model at multiple flux tower sitesĬhen, Mingshi, Senay, Gabriel B., Singh, Ramesh K., Verdin, James P. E., Funk, Christopher C., Galu, G., Choularton, R.Ī climate trend analysis of Ethiopia-Examining subseasonal climate impacts on crops and pasture conditionsīrown, M.E., Funk, Christopher C., Pedreros, Diego H., Korecha, D., Lemma, M., Rowland, James D., Williams, E., Verdin, James P.īrown, M.E., Funk, Christopher C., Verdin, James P., Eilerts, G.Īgriculture and food availability-Remote sensing of agriculture for food security monitoring in the developing worldīudde, Michael E., Rowland, James D., Funk, Christopher C. Vegetation monitoring for Guatemala-A comparison between simulated VIIRS and MODIS satellite dataīoken, V.K., Easson, G.L., Rowland, James D.Įarlier famine warning possible using remote sensing and modelsīrown, M. Identifying precipitation and reference evapotranspiration trends in West Africa to support drought insuranceīlakeley, S.L., Sweeney, S., Husak, G., Harrison, L., Funk, Christopher C., Peterson, P., Osgood, D.E. Large scale snow water equivalent status monitoring-Comparison of different snow water products in the upper Colorado BasinĪrtan, Guleid A., Verdin, James P., Lietzow, Ronald W.Ī linear geospatial streamflow modeling system for data sparse environmentsĪsante, Kwabena O., Artan, Guleid A., Pervez, Md Shahriar, Rowland, James D.ĭeveloping a flood monitoring system from remotely sensed data for the Limpopo BasinĪsante, Kwabena O., Macuacua, R.D., Artan, Guleid A., Lietzow, Ronald W., Verdin, James P.Įarth observation based assessment of the water production and water consumption of Nile Basin agro-ecosystemsīastiaanssen, W.G.M., Karimi, P., Rebelo, L.-M., Duan, Z., Senay, Gabriel B., Muttuwatte, L., Smakhtin, V. For more information on FEWS NET’s livelihood approach and to view our other livelihood products, please click here.The NASA hydrological forecast system for food and water security applicationsĪrsenault, K.R., Shukla, S., Hazra, A., Getirana, A., McNally, A., Kumar, S.V., Koster, R.D., Peters-Lidard, C.D., Zaitchik, B.F., Badr, H., Jung, H.C., Narapusetty, B., Navari, M., Wang, S., Mocko, D.M., Funk, Christopher C., Harrison, L., Husak, G.J., Adoum, A., Galu, G., Magadzire, T., Roningen, J., Shaw, M., Eylander, J., Bergaoui, K., McDonnell, R.A., Verdin, James P.Īdequacy of satellite derived rainfall data for stream flow modelingĪrtan, Guleid A., Gadain, H., Smith, Jodie L., Asante, Kwabena O., Bandaragoda, C.J., Verdin, James P.
FAMINE EARLY WARNING SYSTEMS NETWORK FEWS NET FULL
Please consult the logos in maps for the full list of organizations who participated in and/or funded the zoning workshop.

The shapefiles and maps are all produced and maintained by FEWS NET.
FAMINE EARLY WARNING SYSTEMS NETWORK FEWS NET DOWNLOAD
The zone maps are available for download as PDFs, PNGs, and GIS shapefiles. In some cases, maps may also be accompanied by livelihood profiles, which are in-depth descriptions of the characteristics of wealth groups within each zone. A livelihood zone map is typically accompanied by a livelihood description which outlines the key characteristics of each zone.

Factors considered include agro-climatology, elevation, land-cover, market accessibility, sources of food, and major economic activities. The maps are produced through multi-day workshops during which food security stakeholders and country experts identify zones.

An understanding of geographic livelihood systems is a key component of FEWS NET’s food security analysis. Livelihood zone maps define geographic areas of a country where people generally share similar options for obtaining food and income and similar access to markets.
