Full catalog/ATL11
ATL11·v007·dataset

How the height of land ice changes over time (ICESat-2)

ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series V007
cryosphere NASA NSIDC_CPRD Level 3 active HDF5
In plain English

What it measures. Tracks the changing height of the surface of polar land ice over time, along with markers that tell you whether each height reading is trustworthy or possibly an error. It also flags where floating ice shelves sit.

How it's made. Built by NASA's ICESat-2 satellite, which measures surface heights with a laser, and derived from a lower-level land-ice height product (ATL06) by organizing repeat passes over the same ground tracks into time series.

How & where you'd use it. Mainly a building-block input feeding higher-level gridded maps that scientists use to study how ice sheets are gaining or losing height, rather than something most people open directly.

What's measured

CRYOSPHERE › GLACIERS/ICE SHEETS › GLACIER ELEVATION/ICE SHEET ELEVATION

Coverage & cadence

  • Time span2019-03-29 → ongoing
  • Measured byICESat-2 (ATLAS)
  • Processing levelLevel 3
  • Spatial extent-180, -88, 180, 88
  • FormatsHDF5
  • StatusACTIVE

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

ATL11 provides spatially organized time series of land-ice surface heights and ice-shelf locations where ICESat-2 operates in repeat-track mode (i.e., for polar ice), along with parameters useful in determining whether each height estimate is valid or a result of potential errors. ATL11 is derived from the ATLAS/ICESat-2 L3A Land Ice Height product (ATL06) and intended primarily as an input for higher-level gridded products.

Get the data

atl11_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="ATL11",
    version="007",
    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.