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Full catalog/HMA2_GGP
HMA2_GGP·v1·dataset

Projected future glacier shrinkage under climate scenarios

Global PyGEM-OGGM Glacier Projections with RCP and SSP Scenarios V001
cryosphere NASA NSIDC_CPRD Level 4 netCDF-4
In plain English

What it measures. Projections of how the world's glaciers may change in the future, including expected loss of glacier mass, meltwater runoff, and the components that add to or subtract from glacier mass.

How it's made. Generated by a computer model, not a satellite, that combines two glacier modeling tools (PyGEM for mass balance and OGGM for ice flow) to simulate glacier evolution under different climate scenarios.

How & where you'd use it. Helps researchers and water planners anticipate future glacier shrinkage and changes in glacier-fed water supplies under various greenhouse-gas pathways.

What's measured

CRYOSPHERE › GLACIERS/ICE SHEETS › GLACIERS › GLACIER ABLATIONCRYOSPHERE › GLACIERS/ICE SHEETS › GLACIERS › GLACIER ACCUMULATIONCRYOSPHERE › GLACIERS/ICE SHEETS › GLACIERS › GLACIER AREACRYOSPHERE › GLACIERS/ICE SHEETS › GLACIERS › GLACIER MASSCRYOSPHERE › GLACIERS/ICE SHEETS › GLACIERS › GLACIER MELTCRYOSPHERE › GLACIERS/ICE SHEETS › GLACIERS › GLACIER REFREEZECRYOSPHERE › GLACIERS/ICE SHEETS › GLACIERS › GLACIER RUNOFF

Coverage & cadence

  • Time span2000-01-01 → 2100-12-31
  • Measured byMODELS (NOT APPLICABLE)
  • Processing levelLevel 4
  • Spatial extent-180, -90, 180, 90
  • FormatsnetCDF-4
  • StatusCOMPLETE

What you can do with it

  • Measure sea ice, snow cover and glaciers
  • Watch ice-sheet elevation change
  • Track freeze/thaw and permafrost
Official description

This data set comprises results from a hybrid glacier evolution model that uses the mass balance module of the Python Glacier Evolution Model (PyGEM) and the glacier dynamics module of the Open Global Glacier Model (OGGM). Output parameters include projections of glacier mass change, fixed runoff, and various mass balance components at regionally aggregated and glacier scales.

Get the data

hma2_ggp_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="HMA2_GGP",
    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 NSIDC_CPRD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.