Modeled land-surface conditions for weather forecasts (SPoRT)
What it measures. Modeled, detailed maps of land-surface conditions like soil moisture and related variables across the United States, produced on a fine grid.
How it's made. Not from a satellite instrument but from a computer land-surface model (the Noah model) run on observations, generated both as a long historical record and updated in real time every six hours.
How & where you'd use it. Designed to support short-term weather forecasting and situational awareness, giving forecasters up-to-date pictures of how wet or dry the land is.
What's measured
Coverage & cadence
- Time span1981-01-01 → 2025-12-31
- Measured byCOMPUTERS
- Processing levelLevel 4
- Spatial extent-124.925, 24.396, -66.885, 52.915
- FormatsASCII, Binary, GRIB1, GRIB2
- StatusCOMPLETE
What you can do with it
- Track deforestation, fire scars and land-cover change
- Monitor crop and vegetation health (NDVI/EVI)
- Map how built-up vs. green an area is over time
Official description
The Short-term Prediction Research and Transition Land Information System (SPoRT-LIS) is a gridded observations-driven run of the Noah land surface model (LSM) in both reanalysis and real-time mode. The long-term climatology and real-time solution is driven by the North American Land Data Assimilation System – version 2. The SPoRT-LIS consists of a 1929 x 929 grid of the Noah LSM at 0.03-deg grid spacing in the west-east, and south-north dimensions, spanning -124.925 to -67.085 deg E longitude, and 25.075 to 52.915 deg N latitude. A climatology run was made spanning 1981-2013, then extended into real-time beginning in April of 2015. The real-time production run has continued since then to present, running in a cycled mode every 6 hours.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="sportlis",
version="1",
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 GHRC_DAAC Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package. Official links
- Earthdata Search allows users to search, discover, visualize, refine, and access NASA Earth Observation data. GET DATA
- The guide document contains detailed information about the dataset VIEW RELATED INFORMATION
- Python code to make a histogram from data VIEW RELATED INFORMATION
- Individual county mask files VIEW RELATED INFORMATION