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ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series, Version 6
Data set id:
ATL11
DOI: 10.5067/ATLAS/ATL11.006
This is the most recent version of these data.
Version Summary
Changes for Version 6 are as follows:

-Corrected height bias from geolocation imperfections
-Adjusted y polynomial fit sensitivity for small distances
-Added dh_geoloc to /ptx/crossing_track_data
-Added dh_geoloc to /ptx/cycle_stats
-Removed slope_change_t0, slope_change_rate_x, slope_change_rate_x_sigma, slope_change_rate_y, and slope_change_rate_y_sigma from /ptx/ref_surf

Overview

This data set provides time series of land-ice surface heights derived from the ICESat-2 ATL06 Land Ice Height product. It is intended primarily as an input for higher level gridded products but can also be used on its own as a spatially organized product that allows easy access to height-change information derived from ICESat-2 observations.
Parameter(s):
GLACIER ELEVATION/ICE SHEET ELEVATION
Platform(s):
ICESat-2
Sensor(s):
ATLAS
Data Format(s):
HDF5
Temporal Coverage:
29 March 2019 to present
Temporal Resolution:
  • 91 day
Spatial Resolution:
  • Not Specified
Spatial Reference System(s):
WGS 84
EPSG:4326
Spatial Coverage:
N:
90
S:
-90
E:
180
W:
-180
Blue outlined yellow areas on the map below indicate the spatial coverage for this data set.

Data Access & Tools

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Help Articles

General Questions & FAQs

This article covers frequently asked questions about the NASA NSIDC DAAC's Earthdata cloud migration project and what it means to data users.
This short article describes the customization services available for ICESat-2 data using Earthdata Search.

How to Articles

The NASA Earthdata Cloud is the NASA cloud-based archive of Earth observations. It is hosted by Amazon Web Services (AWS). Learn how to find and access NSIDC DAAC data directly in the cloud.
This article highlights the NSIDC DAAC data sets available with customization options and outlines a workflow for searching, ordering, and customizing data in NASA Earthdata Search. This approach is ideal for users who want to download data to their local machine.