Monthly average land water and energy model (NLDAS, fine grid)
What it measures. A typical month-by-month picture of land conditions across North America: water and energy at the land surface, such as soil and surface states, as estimated by a computer model rather than measured directly.
How it's made. Produced by the Noah land-surface model as part of the NLDAS-2 system, averaging 40 years of simulated data (1981-2020) onto a fine 1/8-degree grid.
How & where you'd use it. Useful as a long-term baseline for studying drought, water cycles, and seasonal land conditions across the continent.
What's measured
Coverage & cadence
- Time span1981-01-01 → 2020-12-31
- Measured byNoah-LSM (NOT APPLICABLE)
- Processing levelLevel 4
- Spatial extent-125, 25, -67, 53
- 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
This monthly climatology data set contains a series of land surface parameters simulated from the Noah land-surface model (LSM) for Phase 2 of the North American Land Data Assimilation System (NLDAS-2). The data are in 1/8th degree grid spacing. The temporal resolution is monthly, ranging from January to December. The NLDAS-2 monthly climatology data are the monthly data averaged over forty years (1981 - 2020). The file format is netCDF. The previous version of this dataset (NLDAS_MC 002) was a 30-year average and was stored in GRIB file format. A brief description about the NLDAS-2 hourly and monthly Noah LSM data can be found from the dataset landing pages for NLDAS_NOAH0125_H_2.0 and NLDAS_NOAH0125_M_2.0. Details about the NLDAS-2 configuration of the Noah LSM can be found in Xia et al. (2012). For more information, please see the README Document.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="NLDAS_NOAH0125_MC",
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
- README Document VIEW RELATED INFORMATION
- How to read and plot the data. VIEW RELATED INFORMATION
- GES DISC Hydrology Documentation VIEW RELATED INFORMATION
- Access the data via the OPeNDAP protocol. USE SERVICE API
- Use the Earthdata Search to find and retrieve data sets across multiple data centers. GET DATA