ICESat-2 monthly gridded winter Arctic sea ice thickness
Description
Monthly gridded (winter only) Arctic sea ice thickness estimates from ICESat-2 derived using ATL10 freeboards (https://nsidc.org/data/atl10) together with snow depth and density estimates from the NASA Eulerian Snow on Sea Ice Model (NESOSIM, https://github.com/akpetty/NESOSIM). Along-track data (from the three strong beams) are binned to the 25 km x 25 km NSIDC polar stereographic projection (EPSG:3411). The full processing chain is described in Petty et al., (2020) (code available at https://github.com/akpetty/ICESat-2-sea-ice-thickness) including several updates as detailed below.
Temporal range: November 2018 - April 2019, October 2019 to April 2020.
Data: A single netCDF file is included for each month. Variables include:
- Sea ice freeboard (from ATL10)
- Snow depth (redistributed NESOSIM)
- Snow density (redistributed NESOSIM)
- Bulk sea ice density
- Sea ice type (from OSI SAF)
- Sea ice thickness uncertainty
- Mean day of month in a given grid cell
- Number of freeboard segments in a given grid cell.
A summary of the differences between the version 1 and version 2 winter Arctic sea ice thickness estimates are being presented at AGU 2020 and prepared for publication.
Key changes from version 1 (Petty et al., 2020) to version 2 include:
- Use of release 003 ATL10 freeboards. A detailed assessment of the freeboard changes from release 002 to release 003 is provided in Kwok et al., (2020).
- Upgrade to NESOSIM v1.1: CloudSat scaling of ERA5 snowfall, a new atmospheric wind loss term, calibration against recent OIB snow depths, an extended Arctic Ocean domain and various bug fixes (https://github.com/akpetty/NESOSIM).
- Use of all three strong beams (instead of just strong beam #1).
The data have also been made available on a Google Cloud bucket to enable rapid data analysis from any cloud-based analytics platform: gs://sea-ice-thickness-data/v2/
Notes
Files
Files
(92.4 MB)
Name | Size | Download all |
---|---|---|
md5:03fb3329712ddf6f0e3105eddb7d8352
|
7.1 MB | Download |
md5:0d7e349e090e372605895ad71f621026
|
7.1 MB | Download |
md5:0145796a985cea9452ac97fdfe6e50b2
|
7.1 MB | Download |
md5:9ccd2e36533419c70e5f1502b00613c8
|
7.1 MB | Download |
md5:d4522c740a2fb7b4394e454eccdad2cb
|
7.1 MB | Download |
md5:66945f6a446b5896775f43ef1221e49b
|
7.1 MB | Download |
md5:060c03af35fe9fe4d12a614a4b73181b
|
7.1 MB | Download |
md5:ee141ea89807fe68668091dd1c071e74
|
7.1 MB | Download |
md5:2fb25d75c508d7a4241974394ac77e01
|
7.1 MB | Download |
md5:a0364de4468724448a20f3f82183018b
|
7.1 MB | Download |
md5:7305d1497322ca7dea6485d52f4804d4
|
7.1 MB | Download |
md5:e03f2fddf94480513497b7ad805feb97
|
7.1 MB | Download |
md5:d9a789b0a6e4f5bdbe7e62304e263bb5
|
7.1 MB | Download |
Additional details
Related works
- Is new version of
- Dataset: 10.5067/CV6JEXEE31HF (DOI)
References
- Petty, A. A., N. T. Kurtz, R. Kwok, T. Markus, T. A. Neumann (2020), Winter Arctic sea ice thickness from ICESat‐2 freeboards, Journal of Geophysical Research: Oceans, 125, e2019JC015764. doi:10.1029/2019JC015764
- Kwok, R., A. A. Petty, M. Bagnardi, N. T. Kurtz, G. F. Cunningham, A. Ivanoff (2020), Refining the sea surface identification approach for determining freeboard in the ICESat-2 sea ice products. The Cryosphere Discuss, doi:10.5194/tc-2020-174.