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Full catalog/gnssro_cosmic1_jpl_l1b
gnssro_cosmic1_jpl_l1b·v2.0·dataset

Raw GPS signal data before processing (COSMIC)

GNSS radio occultation L1B excess phase and amplitude for COSMIC1 as contributed by JPL, version 2.0 (gnssro_cosmic1_jpl_l1b)
deformation NASA GES_DISC Level 1B active
In plain English

What it measures. Contains the raw, early-stage GPS-style signal measurements (the delay and strength of radio waves bent as they skim through the atmosphere), before they become weather variables.

How it's made. A low-level product from the COSMIC-1 mission's radio occultation technique, prepared by NASA's Jet Propulsion Laboratory, with one file per signal-bending event.

How & where you'd use it. An early building block that gets turned into temperature, pressure, and water-vapor estimates feeding weather forecasts, used mainly via those higher-level products.

What's measured

SOLID EARTH › GRAVITY/GRAVITATIONAL FIELD › SATELLITE ORBITS/REVOLUTION › ORBITAL POSITIONATMOSPHERE › RADIO OCCULTATION PROFILES › EXCESS PHASE

Coverage & cadence

  • Time span2006-04-21 → ongoing
  • Measured byCOSMIC/FORMOSAT-3 (IGOR, TIP, TBB, CER)
  • Processing levelLevel 1B
  • Spatial extent-180, -90, 180, 90
  • StatusCOMPLETE

What you can do with it

  • Measure ground motion and subsidence (InSAR)
  • Track earthquakes, volcanoes and landslides
  • Map elevation and terrain change
Official description

This dataset provides Global Navigation Satellite System (GNSS) Radio Occultation (RO) Excess Phase and Amplitude data from the Constellation Observing System for Meteorology Ionosphere & Climate - 1 mission as contributed by the Jet Propulsion Laboratory. Each granule represents a single occultation. GNSS RO is a remote sensing technique that measures the refracted radio signals generated by GNSS satellites and viewed through Earth’s limb. Parameters describing the refraction can be used to infer familiar atmospheric variables such as temperature, pressure and water vapor. The RO technique allows for increased global coverage of temperature and water vapor through the large number of daily observations and as a result plays an important role in the enhancement of Numerical Weather Prediction and other atmospheric-related studies.

Get the data

gnssro_cosmic1_jpl_l1b_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="gnssro_cosmic1_jpl_l1b",
    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.