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

Description

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 The FLDAS regional monthly anomaly datasets will no longer be available and have been superseded by the global monthly anomaly dataset.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. In November 2020, all FLDAS data were post-processed with the MOD44W MODIS land mask.  Previously, some grid boxes over inland water were considered as over land and, thus, had non-missing values.  The post-processing corrected this issue and masked out all model output data over inland water; the post-processing did not affect the meteorological forcing variables. More information on this can be found in the FLDAS README document, and the MOD44W MODIS land mask is available on the FLDAS Project site. If you had downloaded any FLDAS data prior to November 2020, please download the data again to receive the post-processed data.

Resources

Name Format Description Link
34 FLDAS Noah Land Surface Model L4 Global Monthly Anomaly 0.1 x 0.1 degree (MERRA-2 and CHIRPS) V001 - Monthly anomaly of soil moisture content for 0 - 10 cm underground (m^3 m-3) for January 1982, based on 35-year monthly climatology (1982-2016) https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/FLDAS_NOAH01_C_GL_MA_001.png
21 The MOD44W MODIS Water Mask is the standard land/sea mask for FLDAS, and is available for download. https://ldas.gsfc.nasa.gov/fldas/vegetation-class
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.5067%2FGNKZZBAYDF4W
21 Use the Earthdata Search to find and retrieve data sets across multiple data centers. https://search.earthdata.nasa.gov/search?q=FLDAS_NOAH01_C_GL_MA
21 Access the data via the OPeNDAP protocol. https://hydro1.gesdisc.eosdis.nasa.gov/opendap/FLDAS/FLDAS_NOAH01_C_GL_MA.001/
33 README Document https://hydro1.gesdisc.eosdis.nasa.gov/data/FLDAS/FLDAS_NOAH01_C_GL_MA.001/doc/README_FLDAS.pdf
21 FLDAS Project Website https://ldas.gsfc.nasa.gov/FLDAS/
21 GES DISC Hydrology Documentation https://disc.gsfc.nasa.gov/information/documents?title=Hydrology+Documentation
21 Allows users to access the data aggregated by year and month. https://hydro1.gesdisc.eosdis.nasa.gov/thredds/catalog/FLDAS_aggregation/FLDAS_NOAH01_C_GL_MA.001/catalog.html
21 Access the data via HTTPS. https://hydro1.gesdisc.eosdis.nasa.gov/data/FLDAS/FLDAS_NOAH01_C_GL_MA.001/
21 The GES-DISC Interactive Online Visualization ANd aNalysis Interface (Giovanni) is a web-based tool that allows users to interactively visualize and analyze data. https://giovanni.gsfc.nasa.gov/giovanni/#dataKeyword=FLDAS_NOAH01_C_GL_MA
21 Access the dataset landing page from the GES DISC website. https://disc.gsfc.nasa.gov/datacollection/FLDAS_NOAH01_C_GL_MA_001.html
21 How to read and plot the data. https://disc.gsfc.nasa.gov/information/howto?tags=hydrology

Tags

  • precipitation
  • soils
  • land-surface
  • surface-water
  • atmospheric-water-vapor
  • atmosphere
  • atmospheric-temperature
  • terrestrial-hydrosphere
  • earth-science

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