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Full catalog/HMA_SR_D
HMA_SR_D·v1·dataset

Daily snowpack estimates for High Mountain Asia

High Mountain Asia UCLA Daily Snow Reanalysis V001
cryosphere NASA NSIDC_CPRD Level 4 netCDF-4
In plain English

What it measures. Daily estimates of the snowpack across the High Mountain Asia region, including how much water the snow holds (snow water equivalent), how much ground is snow-covered, and how deep the snow is.

How it's made. Produced by a reanalysis that blends a snow model with satellite observations from Landsat and Terra to reconstruct the best daily picture of the snowpack.

How & where you'd use it. Supports tracking water resources for the large downstream populations that depend on meltwater from these mountains, and helps assess the regional water balance.

What's measured

CRYOSPHERE › SNOW/ICE › ALBEDOCRYOSPHERE › SNOW/ICE › SNOW DEPTHCRYOSPHERE › SNOW/ICE › SNOW WATER EQUIVALENT

Coverage & cadence

  • Time span1999-10-01 → 2017-09-30
  • Measured byLANDSAT-5 (TM) · LANDSAT-7 (ETM+) · LANDSAT-8 (OLI) · Terra (MODIS)
  • Processing levelLevel 4
  • Spatial extent60, 27, 105, 45
  • 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

Snowpack plays a significant role in the hydrologic cycle over High Mountain Asia (HMA). As a vital water resource, the distribution of snowpack volume also impacts the water availability for downstream populations. To assess the regional water balance, it is important to characterize the spatio-temporal distribution of water storage in the HMA snowpack. This HMA snow reanalysis data set contains daily estimates of posterior snow water equivalent (SWE), fractional snow covered area (fSCA), snow depth (SD), etc.

Get the data

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

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