Daily land water and energy model (Catchment, 0.25°)
What it measures. Daily simulated conditions of the land surface, such as soil moisture, water and energy flows, on a 0.25-degree grid, covering 1948 through 2014.
How it's made. Generated by the Catchment land-surface computer model driven by historical weather data, rather than measured directly by an instrument.
How & where you'd use it. Supports studies of droughts, water availability, and long-term land and climate trends, and provides consistent inputs for other models.
What's measured
Coverage & cadence
- Time span1948-01-01 → 2014-12-30
- Measured byCatchment-LSM (NOT APPLICABLE)
- Processing levelLevel 4
- Spatial extent-180, -60, 180, 90
- StatusCOMPLETE
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
NASA Global Land Data Assimilation System Version 2 (GLDAS-2) has three components: GLDAS-2.0, GLDAS-2.1, and GLDAS-2.2. GLDAS-2.0 is forced entirely with the Princeton meteorological forcing input data and provides a temporally consistent series from 1948 through 2014. GLDAS-2.1 is forced with a combination of model and observation data from 2000 to present. GLDAS-2.2 product suites use data assimilation (DA), whereas the GLDAS-2.0 and GLDAS-2.1 products are "open-loop" (i.e., no data assimilation). The choice of forcing data, as well as DA observation source, variable, and scheme, vary for different GLDAS-2.2 products. This data set, GLDAS-2.0 0.25 degree daily, contains a series of land surface parameters simulated from the Catchment Land Surface Model 3.6, and currently covers from January 1948 to December 2014. The GLDAS-2.0 model simulations were initialized on January 1, 1948, using soil moisture and other state fields from the LSM climatology for that day of the year. The simulations were forced by the global meteorological forcing data set from Princeton University (Sheffield et al., 2006). Each simulation uses the common GLDAS data sets for land water mask (MOD44W: Carroll et al., 2009) and elevation (GTOPO30) along with the model default land cover and soils datasets. Catchment model uses the Mosaic land cover classification and soils, topographic, and other model-specific parameters were derived in a consistent manner as in the NASA/GMAO’s GEOS-5 climate modeling system. The MODIS based land surface parameters are used in the current GLDAS-2.0 and GLDAS-2.1 products. The GLDAS-2.0 data are archived and distributed in netCDF format.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="GLDAS_CLSM025_D",
version="2.0",
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
- 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
- Use the Earthdata Search to find and retrieve data sets across multiple data centers. GET DATA
- GLDAS_CLM10SUBP_3H Status and Related Data Collections VIEW RELATED INFORMATION
- GLDAS LSM Description VIEW RELATED INFORMATION