Satellite-derived monthly Arctic winter sea ice thickness, snow depth, freeboards, ice draft, and bulk ice density (2011-2022) and validation datasets

[Description] This dataset is curated for a manuscript submitted to Earth and Space Science by Hoyeon Shi and his colleagues in April 2024. It consists of three directories, each described below. A more detailed description of this dataset is available in the preprint (doi: 10.22541/essoar.171500700...

Full description

Bibliographic Details
Main Author: Shi, Hoyeon
Other Authors: Tonboe, Rasmus, Lee, Sang-Moo, Dybkjær, Gorm, Sohn, Byung-Ju, Singha, Suman, Baordo, Fabrizio
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2024
Subjects:
Online Access:https://doi.org/10.5281/zenodo.11049391
id ftzenodo:oai:zenodo.org:11049391
record_format openpolar
spelling ftzenodo:oai:zenodo.org:11049391 2024-09-15T18:34:32+00:00 Satellite-derived monthly Arctic winter sea ice thickness, snow depth, freeboards, ice draft, and bulk ice density (2011-2022) and validation datasets Shi, Hoyeon Tonboe, Rasmus Lee, Sang-Moo Dybkjær, Gorm Sohn, Byung-Ju Singha, Suman Baordo, Fabrizio 2024-04-30 https://doi.org/10.5281/zenodo.11049391 unknown Zenodo https://doi.org/10.5281/zenodo.11049390 https://doi.org/10.5281/zenodo.11049391 oai:zenodo.org:11049391 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode EGU24, Retracker-dependent radar freeboard correction methods for satellite radar altimetry-based sea ice thickness estimation, Vienna, Austria, 14–19 April 2024 arctic sea ice snow Radar Remote sensing info:eu-repo/semantics/other 2024 ftzenodo https://doi.org/10.5281/zenodo.1104939110.5281/zenodo.11049390 2024-07-26T18:59:24Z [Description] This dataset is curated for a manuscript submitted to Earth and Space Science by Hoyeon Shi and his colleagues in April 2024. It consists of three directories, each described below. A more detailed description of this dataset is available in the preprint (doi: 10.22541/essoar.171500700.06739421/v1 ). 01_retrieval_results This directory includes CryoSat-2-based monthly fields of Arctic sea ice thickness, snow depth, total freeboard, ice freeboards, ice draft, and bulk sea ice density for the winter months (January-March) of the 2011-2022 period. Those variables are obtained using six combinations of two retrieval methods and three radar freeboard correction methods. Retrieval methods alpha method: A simultaneous retrieval method based on Shi et al. (2020) and Shi et al. (2023), combining CryoSat-2, AVHRR, and AMSR data CS2IS2 method: A simultaneous retrieval method based on Kwok and Marcus (2018) and Kwok et al. (2020), combining CryoSat-2 and ICESat-2 data Radar freeboard correction methods Wave speed correction method: Mallet et al. (2020) Empirical correction method: An empirical correction derived from the CS2_OIB_matchup data, using snow depth as a predictor Bias correction method: An empirical correction derived from the CS2_OIB_matchup data, doing bias correction The datasets used for generating this dataset are as follows: CryoSat-2 - AWI CryoSat-2 sea ice thickness v2p4 (ftp://ftp.awi.de/sea_ice/product/cryosat2/v2p4/) ICESat-2 - NSIDC ATL20 dataset (doi: 10.5067/ATLAS/ATL20.004 ) AVHRR - Copernicus Marine Service's surface temperature datasets (doi: 10.48670/MOI-00130 , doi: 10.48670/MOI-00123 ) AMSR - JAXA AMSR-E 6.9 GHz brightness temperature (doi: 10.57746/EO.01gs73ayng11rpwk7n54aynyj1 ) - JAXA AMSR2 6.9 GHz brightness temperature (doi: 10.57746/EO.01gs73b1nzeh3g66jr4p04mr0j ) Auxiliary data - Sea ice concentration: OSI SAF (doi: 10.15770/EUM_SAF_OSI_0013 , doi: 10.15770/EUM_SAF_OSI_0014 ) - Sea ice type: OSI SAF (doi: 10.15770/EUM_SAF_OSI_NRT_2006 ) The naming convention is ... Other/Unknown Material Sea ice Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic arctic
sea ice
snow
Radar
Remote sensing
spellingShingle arctic
sea ice
snow
Radar
Remote sensing
Shi, Hoyeon
Satellite-derived monthly Arctic winter sea ice thickness, snow depth, freeboards, ice draft, and bulk ice density (2011-2022) and validation datasets
topic_facet arctic
sea ice
snow
Radar
Remote sensing
description [Description] This dataset is curated for a manuscript submitted to Earth and Space Science by Hoyeon Shi and his colleagues in April 2024. It consists of three directories, each described below. A more detailed description of this dataset is available in the preprint (doi: 10.22541/essoar.171500700.06739421/v1 ). 01_retrieval_results This directory includes CryoSat-2-based monthly fields of Arctic sea ice thickness, snow depth, total freeboard, ice freeboards, ice draft, and bulk sea ice density for the winter months (January-March) of the 2011-2022 period. Those variables are obtained using six combinations of two retrieval methods and three radar freeboard correction methods. Retrieval methods alpha method: A simultaneous retrieval method based on Shi et al. (2020) and Shi et al. (2023), combining CryoSat-2, AVHRR, and AMSR data CS2IS2 method: A simultaneous retrieval method based on Kwok and Marcus (2018) and Kwok et al. (2020), combining CryoSat-2 and ICESat-2 data Radar freeboard correction methods Wave speed correction method: Mallet et al. (2020) Empirical correction method: An empirical correction derived from the CS2_OIB_matchup data, using snow depth as a predictor Bias correction method: An empirical correction derived from the CS2_OIB_matchup data, doing bias correction The datasets used for generating this dataset are as follows: CryoSat-2 - AWI CryoSat-2 sea ice thickness v2p4 (ftp://ftp.awi.de/sea_ice/product/cryosat2/v2p4/) ICESat-2 - NSIDC ATL20 dataset (doi: 10.5067/ATLAS/ATL20.004 ) AVHRR - Copernicus Marine Service's surface temperature datasets (doi: 10.48670/MOI-00130 , doi: 10.48670/MOI-00123 ) AMSR - JAXA AMSR-E 6.9 GHz brightness temperature (doi: 10.57746/EO.01gs73ayng11rpwk7n54aynyj1 ) - JAXA AMSR2 6.9 GHz brightness temperature (doi: 10.57746/EO.01gs73b1nzeh3g66jr4p04mr0j ) Auxiliary data - Sea ice concentration: OSI SAF (doi: 10.15770/EUM_SAF_OSI_0013 , doi: 10.15770/EUM_SAF_OSI_0014 ) - Sea ice type: OSI SAF (doi: 10.15770/EUM_SAF_OSI_NRT_2006 ) The naming convention is ...
author2 Tonboe, Rasmus
Lee, Sang-Moo
Dybkjær, Gorm
Sohn, Byung-Ju
Singha, Suman
Baordo, Fabrizio
format Other/Unknown Material
author Shi, Hoyeon
author_facet Shi, Hoyeon
author_sort Shi, Hoyeon
title Satellite-derived monthly Arctic winter sea ice thickness, snow depth, freeboards, ice draft, and bulk ice density (2011-2022) and validation datasets
title_short Satellite-derived monthly Arctic winter sea ice thickness, snow depth, freeboards, ice draft, and bulk ice density (2011-2022) and validation datasets
title_full Satellite-derived monthly Arctic winter sea ice thickness, snow depth, freeboards, ice draft, and bulk ice density (2011-2022) and validation datasets
title_fullStr Satellite-derived monthly Arctic winter sea ice thickness, snow depth, freeboards, ice draft, and bulk ice density (2011-2022) and validation datasets
title_full_unstemmed Satellite-derived monthly Arctic winter sea ice thickness, snow depth, freeboards, ice draft, and bulk ice density (2011-2022) and validation datasets
title_sort satellite-derived monthly arctic winter sea ice thickness, snow depth, freeboards, ice draft, and bulk ice density (2011-2022) and validation datasets
publisher Zenodo
publishDate 2024
url https://doi.org/10.5281/zenodo.11049391
genre Sea ice
genre_facet Sea ice
op_source EGU24, Retracker-dependent radar freeboard correction methods for satellite radar altimetry-based sea ice thickness estimation, Vienna, Austria, 14–19 April 2024
op_relation https://doi.org/10.5281/zenodo.11049390
https://doi.org/10.5281/zenodo.11049391
oai:zenodo.org:11049391
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.1104939110.5281/zenodo.11049390
_version_ 1810476424692236288