Utilizing CryoSat-2 sea ice thickness to initialize a coupled ice-ocean modeling system
Two CryoSat-2 sea ice thickness products derived with independent algorithms are used to initialize a coupled ice-ocean modeling system in which a series of reanalysis studies are performed for the period of March 15, 2014–September 30, 2015. Comparisons against moored upward looking sonar, drifting...
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ftleedsuniv:oai:eprints.whiterose.ac.uk:138041 2023-05-15T15:08:49+02:00 Utilizing CryoSat-2 sea ice thickness to initialize a coupled ice-ocean modeling system Allard, RA Farrell, SL Hebert, DA Johnston, WF Li, L Kurtz, NT Phelps, MW Posey, PG Tilling, R Ridout, A Wallcraft, AJ 2018-09-15 text https://eprints.whiterose.ac.uk/138041/ https://eprints.whiterose.ac.uk/138041/1/1-s2.0-S0273117717309183-main.pdf en eng Elsevier https://eprints.whiterose.ac.uk/138041/1/1-s2.0-S0273117717309183-main.pdf Allard, RA, Farrell, SL, Hebert, DA et al. (8 more authors) (2018) Utilizing CryoSat-2 sea ice thickness to initialize a coupled ice-ocean modeling system. Advances in Space Research, 62 (6). pp. 1265-1280. ISSN 0273-1177 cc_by_nc_nd_4 CC-BY-NC-ND Article NonPeerReviewed 2018 ftleedsuniv 2023-01-30T22:12:13Z Two CryoSat-2 sea ice thickness products derived with independent algorithms are used to initialize a coupled ice-ocean modeling system in which a series of reanalysis studies are performed for the period of March 15, 2014–September 30, 2015. Comparisons against moored upward looking sonar, drifting ice mass balance buoy, and NASA Operation IceBridge ice thickness data show that the modeling system exhibits greatly reduced bias using the satellite-derived ice thickness data versus the operational model run without these data. The model initialized with CryoSat-2 ice thickness exhibits skill in simulating ice thickness from the initial period to up to 6 months. We find that the largest improvements in ice thickness occur over multi-year ice. Based on the data periods examined here, we find that for the 18-month study period, when compared with upward looking sonar measurements, the CryoSat-2 reanalyses show significant improvement in bias (0.47–0.75) and RMSE (0.89–1.04) versus the control run without these data (1.44 and 1.60, respectively). An ice drift comparison reveals little change in ice velocity statistics for the Pan Arctic region; however some improvement is seen during the summer/autumn months in 2014 for the Bering/Beaufort/Chukchi and Greenland/Norwegian Seas. These promising results suggest that such a technique should be used to reinitialize operational sea ice modeling systems. Article in Journal/Newspaper Arctic Chukchi Greenland Sea ice White Rose Research Online (Universities of Leeds, Sheffield & York) Arctic Greenland |
institution |
Open Polar |
collection |
White Rose Research Online (Universities of Leeds, Sheffield & York) |
op_collection_id |
ftleedsuniv |
language |
English |
description |
Two CryoSat-2 sea ice thickness products derived with independent algorithms are used to initialize a coupled ice-ocean modeling system in which a series of reanalysis studies are performed for the period of March 15, 2014–September 30, 2015. Comparisons against moored upward looking sonar, drifting ice mass balance buoy, and NASA Operation IceBridge ice thickness data show that the modeling system exhibits greatly reduced bias using the satellite-derived ice thickness data versus the operational model run without these data. The model initialized with CryoSat-2 ice thickness exhibits skill in simulating ice thickness from the initial period to up to 6 months. We find that the largest improvements in ice thickness occur over multi-year ice. Based on the data periods examined here, we find that for the 18-month study period, when compared with upward looking sonar measurements, the CryoSat-2 reanalyses show significant improvement in bias (0.47–0.75) and RMSE (0.89–1.04) versus the control run without these data (1.44 and 1.60, respectively). An ice drift comparison reveals little change in ice velocity statistics for the Pan Arctic region; however some improvement is seen during the summer/autumn months in 2014 for the Bering/Beaufort/Chukchi and Greenland/Norwegian Seas. These promising results suggest that such a technique should be used to reinitialize operational sea ice modeling systems. |
format |
Article in Journal/Newspaper |
author |
Allard, RA Farrell, SL Hebert, DA Johnston, WF Li, L Kurtz, NT Phelps, MW Posey, PG Tilling, R Ridout, A Wallcraft, AJ |
spellingShingle |
Allard, RA Farrell, SL Hebert, DA Johnston, WF Li, L Kurtz, NT Phelps, MW Posey, PG Tilling, R Ridout, A Wallcraft, AJ Utilizing CryoSat-2 sea ice thickness to initialize a coupled ice-ocean modeling system |
author_facet |
Allard, RA Farrell, SL Hebert, DA Johnston, WF Li, L Kurtz, NT Phelps, MW Posey, PG Tilling, R Ridout, A Wallcraft, AJ |
author_sort |
Allard, RA |
title |
Utilizing CryoSat-2 sea ice thickness to initialize a coupled ice-ocean modeling system |
title_short |
Utilizing CryoSat-2 sea ice thickness to initialize a coupled ice-ocean modeling system |
title_full |
Utilizing CryoSat-2 sea ice thickness to initialize a coupled ice-ocean modeling system |
title_fullStr |
Utilizing CryoSat-2 sea ice thickness to initialize a coupled ice-ocean modeling system |
title_full_unstemmed |
Utilizing CryoSat-2 sea ice thickness to initialize a coupled ice-ocean modeling system |
title_sort |
utilizing cryosat-2 sea ice thickness to initialize a coupled ice-ocean modeling system |
publisher |
Elsevier |
publishDate |
2018 |
url |
https://eprints.whiterose.ac.uk/138041/ https://eprints.whiterose.ac.uk/138041/1/1-s2.0-S0273117717309183-main.pdf |
geographic |
Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Arctic Chukchi Greenland Sea ice |
genre_facet |
Arctic Chukchi Greenland Sea ice |
op_relation |
https://eprints.whiterose.ac.uk/138041/1/1-s2.0-S0273117717309183-main.pdf Allard, RA, Farrell, SL, Hebert, DA et al. (8 more authors) (2018) Utilizing CryoSat-2 sea ice thickness to initialize a coupled ice-ocean modeling system. Advances in Space Research, 62 (6). pp. 1265-1280. ISSN 0273-1177 |
op_rights |
cc_by_nc_nd_4 |
op_rightsnorm |
CC-BY-NC-ND |
_version_ |
1766340108236095488 |