ATLAS/ICESat-2 L3B Daily and Monthly Gridded Sea Ice Freeboard, Version 2
Data set id:
ATL20
DOI: 10.5067/ATLAS/ATL20.002
There is a more recent version of these data.
Version Summary
Version Summary
Changes for this version include:
- Changed input data from ATL10 Version 3 to ATL10 Version 4.
Overview
This data set (ATL20) contains daily and monthly gridded estimates of sea ice freeboard, derived from along-track freeboard estimates in the ATLAS/ICESat-2 L3A Sea Ice Freeboard product (ATL10). Data are gridded at 25 km using the SSM/I Polar Stereographic Projection.
Parameter(s):
FREEBOARD
Platform(s):
ICESat-2
Sensor(s):
ATLAS
Data Format(s):
HDF5
Temporal Coverage:
1 November 2018 to 1 July 2021
Temporal Resolution:
- 1 month
- 1 day
Spatial Resolution:
- 25 km
- 25 km
Spatial Reference System(s):
NSIDC Sea Ice Polar Stereographic North
EPSG:3411
NSIDC Sea Ice Polar Stereographic South
EPSG:3412
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
Harmony API Quickstart Guide: Customizing NASA NSIDC DAAC data in Earthdata Cloud
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.