How land and the lower air exchange heat and moisture, from the LandMet data product
What it measures. A blended picture of conditions near where the land meets the air, combining many measurements into a single consistent description of surface and near-surface atmospheric properties over time.
How it's made. Assembled by merging multiple data sources of differing scales, filling gaps where coverage was sparse, and mapping everything onto a 1-degree global grid at daily or 3-hourly steps for the years 1998 to 2007.
How & where you'd use it. Gives researchers a unified record for studying how the land and lower atmosphere exchange heat and moisture across days to decades.
What's measured
Coverage & cadence
- Time span1998-01-01 → 2007-12-31
- Measured byLANDMET (NOT APPLICABLE)
- Processing levelLevel 3
- Spatial extent-180, -90, 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
This product is a multi-variate data compilation that reconciles the variation scales of these multiple measurements from varies resources, merges and maps them into a comprehensive description of the near-surface atmospheric properties together with the land surface property variations on diurnal-to-decadal time scales. Many of these data products, especially those based on surface measurements, are spatially and/or temporally sparse or incomplete in coverage, so procedures were developed to fill missing values. The data product is comprised of a sequence of daily global files, where quantities are mapped into 1.0-degree equivalent equal-area grid, with time sampling is reported at daily or 3-hourly intervals. The time period overlap among the products covers 10 years from 1998 to 2007.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="LANDMET",
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 GES_DISCBrowsing 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 to the data via OPeNDAP protocol. USE SERVICE API
- README Document VIEW RELATED INFORMATION