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Full catalog/TELLUS_GIA_L3_0.5-DEG_V1.0
TELLUS_GIA_L3_0.5-DEG_V1.0·v1.0·dataset

How land slowly rebounds after ancient ice sheets (GRACE)

TELLUS GRACE Level-3 0.5-degree Glacial Isostatic Adjustment v1.0 datasets produced by JPL
deformation NASA POCLOUD Level 3 NETCDF
In plain English

What it measures. Maps the slow, ongoing rebound of Earth's crust as it continues rising after the heavy ice sheets of the last ice age melted away—a steady geophysical drift, not a weather signal.

How it's made. A modeled correction product, gridded to half-degree resolution and filtered to match the processing of GRACE and GRACE-FO gravity-satellite data.

How & where you'd use it. Scientists subtract this from satellite gravity measurements so that present-day changes—like melting glaciers and groundwater loss—stand out clearly rather than being masked by the ancient rebound signal.

What's measured

SOLID EARTH › GRAVITY/GRAVITATIONAL FIELD › GRAVITY ANOMALIES

Coverage & cadence

  • Time span1900-01-01 → 2100-12-31
  • Measured byGRACE
  • Processing levelLevel 3
  • Spatial extent-180, -90, 180, 90
  • FormatsNETCDF
  • 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

Glacial isostatic adjustment (GIA) is an ongoing geophysical process and is measured by gravimetry satellites like GRACE and GRACE-FO. To isolate signals of contemporary surface mass loss in the cumulative satellite gravimetry measurements, contemporary GIA rates are computed and subtracted from the satellite gravimetry observations. The GIA correction models provided here are filtered such that they are compatible with Level-3 post-processing filters applied to GRACE(-FO) data as indicated in the [product_id]. In this way, user can effectively assess the impact of the applied GIA correction, and substitute different GIA models should that be desired. This GIA dataset is mapped into 0.5-degree global grid compatible with the JPL Mascon solution, provided in netCDF format.

Get the data

tellus_gia_l3_0.5-deg_v1.0_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="TELLUS_GIA_L3_0.5-DEG_V1.0",
    version="1.0",
    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 POCLOUD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.