We have created a Famine Early Warning System Network (FEWS NET) specific web application that has custom area averaging domains and functionality that is FEWS NET focused.
Explore Some International Climate Engine Examples Below
CHIRPS December-February 2015/2016 percent difference from average precipitation
This example shows the impact of the 2015 El Nino event on the Subsahara and South Africa regions where risk of crop failure is exceptionally high.
MODIS December-February 2015/2016 Land Surface Temperature difference from average
CHIRPS May-October 2015 percent difference from average precipitation
This example shows the impact of the 2015 El Nino event on the Ethiopia region, where precipitation has been approximately half of what is normal during the May - October wet season.
MODIS May-October 2015 NDVI percent difference from average
Clearly evident how precipitation deficits during this period have impacted vegetation greenness. We can overlay crop regions to get an idea of vegetation impacts by crop zone such as small grains, maize, or sorghum.
MODIS May-October 2015 Land Surface Temperature difference from average
Because of reduced evapotranspiration land surface temperature is higher than average. Land surface temperature anomalies are a good way to evaluate water and evaporative stress due to drought.