ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series, Version 5
Data set id:
ATL11
DOI: 10.5067/ATLAS/ATL11.005
There is a more recent version of these data.
Version Summary
Version Summary
Changes for this version include:
- Added cycles 12, 13, 14, and 15 of the ICESat-2 data.
- Removed orbit specific parameters from /orbit_info group as crossing time, rgt, orbit_number, and sc_orient are not needed for ATL11.
- Implemented mean-tide inclusion for converting geoid heights.
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 21 June 2022
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
This data set has been retired. There is a more recent version of these data.
Documentation
User Guide
ATBDs
General Resources
Product Specification Documents
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.