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FLDAS Noah Land Surface Model L4 Global Monthly Anomaly 0.1 x 0.1 degree (MERRA-2 and CHIRPS) V001 (FLDAS_NOAH01_C_GL_MA) at GES DISC

The monthly anomaly data set contains a series of land surface parameters simulated from the Noah 3.6.1 model in the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS). The dataset comprises of monthly files, each representing how the month compares to the 35-year monthly climatology from 1982 to 2016, based on the FLDAS Noah Land Surface Model L4 Global Monthly 0.1 x 0.1 degree (MERRA-2 and CHIRPS) V001 (FLDAS_NOAH01_C_GL_M_001) monthly data. The data are in 0.10 degree resolution and the spatial coverage is global (60S, 180W, 90N, 180E). The FLDAS regional monthly anomaly datasets will no longer be available and have been superseded by the global monthly anomaly dataset. More information about the monthly FLDAS can be found from the dataset landing page for FLDAS_NOAH01_C_GL_M_001 and the FLDAS README document. Since the values in the data sets do not represent the fluxes over open water, a water body mask needs to be applied to set the data values over inland water to null. The MOD44W MODIS Water Mask is the standard land/sea mask for FLDAS, and is available for download through the LDAS project home page.

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