Projected future glacier loss under climate scenarios (High Mountain Asia)

In plain English

What it measures. Projections of how glaciers in High Mountain Asia may change in the future, including expected loss of ice and the meltwater that runs off, laid out on a map grid.

How it's made. Built by running a glacier computer model (PyGEM) under different climate scenarios, then converting its point-by-point results into gridded map layers.

How & where you'd use it. Useful for planning around future water supply, flood risk, and climate impacts in a region where mountain glaciers feed major rivers.

What's measured

CRYOSPHERE › GLACIERS/ICE SHEETS › GLACIER MASS BALANCE/ICE SHEET MASS BALANCECRYOSPHERE › GLACIERS/ICE SHEETS › GLACIERS › GLACIER RUNOFF

Coverage & cadence

Time span2000-10-01 → 2100-10-15
Measured byMODELS (NOT APPLICABLE)
Processing levelLevel 4
Spatial extent56.5, 7.4, 135.1, 51.8
FormatsnetCDF-4, GeoTIFF
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 a rasterized (gridded) version of the of glacier point data from the Python Glacier Evolution Model (PyGEM) that include projections of glacier mass change, glacier runoff, and the various components associated with changes in mass and runoff.

Get the data

hma_gl_rcpr_access.py

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

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

What's measured

Coverage & cadence

What you can do with it

Get the data

Official links