Monthly land water and heat model (famine warning)
What it measures. Monthly maps of land-surface conditions worldwide, such as soil moisture, temperature, and how water and heat move at the ground, going back to 1982.
How it's made. A model simulation (the Noah land surface model) driven by a mix of MERRA-2 reanalysis data and CHIRPS rainfall, run within the famine-warning FLDAS system.
How & where you'd use it. Built to support famine early warning, it helps monitor drought, crop conditions, and water availability, especially in food-insecure regions.
What's measured
Coverage & cadence
- Time span1982-01-01 → ongoing
- Measured byNoah-LSM (NOT APPLICABLE)
- Processing levelLevel 4
- Spatial extent-180, -60, 180, 90
- StatusACTIVE
What you can do with it
- Map air pollutants — NO₂, aerosols, ozone
- Track greenhouse gases and Earth's energy budget
- Feed weather and air-quality analysis
Official description
This dataset 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 data are in 0.10 degree resolution and range from January 1982 to present. The temporal resolution is monthly and the spatial coverage is global (60S, 180W, 90N, 180E). The FLDAS regional monthly datasets will no longer be available and have been superseded by the global monthly dataset. The simulation was forced by a combination of the Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) data and Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) 6-hourly rainfall data that has been downscaled using the NASA Land Data Toolkit. The simulation was initialized on January 1, 1982 using soil moisture and other state fields from a FLDAS/Noah model climatology for that day of the year. 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.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="FLDAS_NOAH01_C_GL_M",
version="001",
bounding_box=(-122.5, 37.2, -121.8, 37.9), # your area (W,S,E,N)
temporal=("2024-01-01", "2024-12-31"), # your dates
)
files = earthaccess.open(results) # stream straight from GES_DISC Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package. Official links
- Access the data via HTTPS. GET DATA
- Use the Earthdata Search to find and retrieve data sets across multiple data centers. GET DATA
- Access the data via the OPeNDAP protocol. USE SERVICE API
- README Document VIEW RELATED INFORMATION
- How to read and plot the data. VIEW RELATED INFORMATION
- GES DISC Hydrology Documentation VIEW RELATED INFORMATION
- The MOD44W MODIS Water Mask is the standard land/sea mask for FLDAS, and is available for download. VIEW RELATED INFORMATION