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The Environmental Data Initiative Repository concentrates on studies of ecological processes that play out at time scales spanning decades to centuries including those of the NSF Long Term Ecological Research (LTER) program, the NSF Macrosystems Biology Program, the NSF Long Term Research in Environmental Biology (LTREB) program, the Organization of Biological Field Stations, and others. The repository hosts data that provide a context to evaluate the nature and pace of ecological change, to interpret its effects, and to forecast the range of future biological responses to change.
Using a combination of remote sensing data and ground observations as inputs, CHG scientists have developed rainfall and other models that reliably predict crop performance in parts of the world vulnerable to crop failure. Policy makers within governments and at non-governmental organizations rely on CHG decision-support products for making critical resource allocation decisions. The CHG's scientific focus is "geospatial hydroclimatology", with an emphasis on the early detection and forecasting of hydroclimatic hazards related to food security droughts and floods. Basic research seeks an improved understanding of the climatic processes that govern drought and flood hazards in FEWS.NET countries. We develop better techniques, algorithms, and modeling applications to use remote sensing and other geospatial data for hazard early warning.