Full catalog/ASF_ECMWF_TROP
ASF_ECMWF_TROP·v1·dataset

Atmospheric water-vapor delay corrections for radar (ECMWF)

ECMWF TROPO Data
atmosphere NASA ASF Level 4 active netCDF-4
In plain English

What it measures. A slice of weather-model data describing how much the atmosphere (mainly water vapor) slows down and delays radar signals passing through it.

How it's made. Pulled from the ECMWF weather forecasting model, packaged specifically as a correction input for the NISAR satellite mission and the OPERA project.

How & where you'd use it. A behind-the-scenes correction ingredient: it lets radar scientists remove atmospheric distortions from their measurements, so it's used in producing radar products rather than viewed on its own.

What's measured

ATMOSPHERE › ATMOSPHERIC TEMPERATUREATMOSPHERE › ATMOSPHERIC PRESSUREATMOSPHERE › ATMOSPHERIC WATER VAPOR

Coverage & cadence

  • Time span2015-01-01 → ongoing
  • Measured byECMWF
  • Processing levelLevel 4
  • Spatial extent-180, -90, 180, 90
  • FormatsnetCDF-4
  • 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

Subset of ECMWF products used for creation of products for the NISAR mission and OPERA project.

Get the data

asf_ecmwf_trop_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="ASF_ECMWF_TROP",
    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 ASF
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.