Arctic Mission Benefit Analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance
Assimilation of remote-sensing products of sea ice thickness (SIT) into sea ice–ocean models has been shown to improve the quality of sea ice forecasts. Key open questions are whether assimilation of lower-level data products such as radar freeboard (RFB) can further improve model performance and wh...
Published in: | The Cryosphere |
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Online Access: | https://epic.awi.de/id/eprint/48620/ https://epic.awi.de/id/eprint/48620/1/tc-12-2569-2018-2.pdf https://doi.org/10.5194/tc-12-2569-2018 https://hdl.handle.net/10013/epic.2f818958-5f74-456e-8db8-a4ab8dd2b914 |
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ftawi:oai:epic.awi.de:48620 2024-09-15T17:51:48+00:00 Arctic Mission Benefit Analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance Kaminski, Thomas Kauker, Frank Toudal Pedersen, Leif Voßbeck, Michael Haak, Helmuth Niederdrenk, Laura Hendricks, Stefan Ricker, Robert Karcher, Michael Eicken, Hajo Gråbak, Ola 2018-08 application/pdf https://epic.awi.de/id/eprint/48620/ https://epic.awi.de/id/eprint/48620/1/tc-12-2569-2018-2.pdf https://doi.org/10.5194/tc-12-2569-2018 https://hdl.handle.net/10013/epic.2f818958-5f74-456e-8db8-a4ab8dd2b914 unknown https://epic.awi.de/id/eprint/48620/1/tc-12-2569-2018-2.pdf Kaminski, T. , Kauker, F. orcid:0000-0002-7976-3005 , Toudal Pedersen, L. , Voßbeck, M. , Haak, H. , Niederdrenk, L. , Hendricks, S. orcid:0000-0002-1412-3146 , Ricker, R. orcid:0000-0001-6928-7757 , Karcher, M. orcid:0000-0002-9587-811X , Eicken, H. and Gråbak, O. (2018) Arctic Mission Benefit Analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance , The Cryosphere, 12 (8), pp. 2569-2594 . doi:10.5194/tc-12-2569-2018 <https://doi.org/10.5194/tc-12-2569-2018> , hdl:10013/epic.2f818958-5f74-456e-8db8-a4ab8dd2b914 EPIC3The Cryosphere, 12(8), pp. 2569-2594, ISSN: 1994-0424 Article isiRev 2018 ftawi https://doi.org/10.5194/tc-12-2569-2018 2024-06-24T04:21:00Z Assimilation of remote-sensing products of sea ice thickness (SIT) into sea ice–ocean models has been shown to improve the quality of sea ice forecasts. Key open questions are whether assimilation of lower-level data products such as radar freeboard (RFB) can further improve model performance and what performance gains can be achieved through joint assimilation of these data products in combination with a snow depth product. The Arctic Mission Benefit Analysis system was developed to address this type of question. Using the quantitative network design (QND) approach, the system can evaluate, in a mathematically rigorous fashion, the observational constraints imposed by individual and groups of data products. We demonstrate the approach by presenting assessments of the observation impact (added value) of different Earth observation (EO) products in terms of the uncertainty reduction in a 4-week forecast of sea ice volume (SIV) and snow volume (SNV) for three regions along the Northern Sea Route in May 2015 using a coupled model of the sea ice–ocean system, specifically the Max Planck Institute Ocean Model. We assess seven satellite products: three real products and four hypothetical products. The real products are monthly SIT, sea ice freeboard (SIFB), and RFB, all derived from CryoSat-2 by the Alfred Wegener Institute. These are complemented by two hypothetical monthly laser freeboard (LFB) products with low and high accuracy, as well as two hypothetical monthly snow depth products with low and high accuracy. On the basis of the per-pixel uncertainty ranges provided with the CryoSat-2 SIT, SIFB, and RFB products, the SIT and RFB achieve a much better performance for SIV than the SIFB product. For SNV, the performance of SIT is only low, the performance of SIFB is higher and the performance of RFB is yet higher. A hypothetical LFB product with low accuracy (20cm uncertainty) falls between SIFB and RFB in performance for both SIV and SNV. A reduction in the uncertainty of the LFB product to 2cm yields a ... Article in Journal/Newspaper Arctic Northern Sea Route Sea ice The Cryosphere Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) The Cryosphere 12 8 2569 2594 |
institution |
Open Polar |
collection |
Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
op_collection_id |
ftawi |
language |
unknown |
description |
Assimilation of remote-sensing products of sea ice thickness (SIT) into sea ice–ocean models has been shown to improve the quality of sea ice forecasts. Key open questions are whether assimilation of lower-level data products such as radar freeboard (RFB) can further improve model performance and what performance gains can be achieved through joint assimilation of these data products in combination with a snow depth product. The Arctic Mission Benefit Analysis system was developed to address this type of question. Using the quantitative network design (QND) approach, the system can evaluate, in a mathematically rigorous fashion, the observational constraints imposed by individual and groups of data products. We demonstrate the approach by presenting assessments of the observation impact (added value) of different Earth observation (EO) products in terms of the uncertainty reduction in a 4-week forecast of sea ice volume (SIV) and snow volume (SNV) for three regions along the Northern Sea Route in May 2015 using a coupled model of the sea ice–ocean system, specifically the Max Planck Institute Ocean Model. We assess seven satellite products: three real products and four hypothetical products. The real products are monthly SIT, sea ice freeboard (SIFB), and RFB, all derived from CryoSat-2 by the Alfred Wegener Institute. These are complemented by two hypothetical monthly laser freeboard (LFB) products with low and high accuracy, as well as two hypothetical monthly snow depth products with low and high accuracy. On the basis of the per-pixel uncertainty ranges provided with the CryoSat-2 SIT, SIFB, and RFB products, the SIT and RFB achieve a much better performance for SIV than the SIFB product. For SNV, the performance of SIT is only low, the performance of SIFB is higher and the performance of RFB is yet higher. A hypothetical LFB product with low accuracy (20cm uncertainty) falls between SIFB and RFB in performance for both SIV and SNV. A reduction in the uncertainty of the LFB product to 2cm yields a ... |
format |
Article in Journal/Newspaper |
author |
Kaminski, Thomas Kauker, Frank Toudal Pedersen, Leif Voßbeck, Michael Haak, Helmuth Niederdrenk, Laura Hendricks, Stefan Ricker, Robert Karcher, Michael Eicken, Hajo Gråbak, Ola |
spellingShingle |
Kaminski, Thomas Kauker, Frank Toudal Pedersen, Leif Voßbeck, Michael Haak, Helmuth Niederdrenk, Laura Hendricks, Stefan Ricker, Robert Karcher, Michael Eicken, Hajo Gråbak, Ola Arctic Mission Benefit Analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance |
author_facet |
Kaminski, Thomas Kauker, Frank Toudal Pedersen, Leif Voßbeck, Michael Haak, Helmuth Niederdrenk, Laura Hendricks, Stefan Ricker, Robert Karcher, Michael Eicken, Hajo Gråbak, Ola |
author_sort |
Kaminski, Thomas |
title |
Arctic Mission Benefit Analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance |
title_short |
Arctic Mission Benefit Analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance |
title_full |
Arctic Mission Benefit Analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance |
title_fullStr |
Arctic Mission Benefit Analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance |
title_full_unstemmed |
Arctic Mission Benefit Analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance |
title_sort |
arctic mission benefit analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance |
publishDate |
2018 |
url |
https://epic.awi.de/id/eprint/48620/ https://epic.awi.de/id/eprint/48620/1/tc-12-2569-2018-2.pdf https://doi.org/10.5194/tc-12-2569-2018 https://hdl.handle.net/10013/epic.2f818958-5f74-456e-8db8-a4ab8dd2b914 |
genre |
Arctic Northern Sea Route Sea ice The Cryosphere |
genre_facet |
Arctic Northern Sea Route Sea ice The Cryosphere |
op_source |
EPIC3The Cryosphere, 12(8), pp. 2569-2594, ISSN: 1994-0424 |
op_relation |
https://epic.awi.de/id/eprint/48620/1/tc-12-2569-2018-2.pdf Kaminski, T. , Kauker, F. orcid:0000-0002-7976-3005 , Toudal Pedersen, L. , Voßbeck, M. , Haak, H. , Niederdrenk, L. , Hendricks, S. orcid:0000-0002-1412-3146 , Ricker, R. orcid:0000-0001-6928-7757 , Karcher, M. orcid:0000-0002-9587-811X , Eicken, H. and Gråbak, O. (2018) Arctic Mission Benefit Analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance , The Cryosphere, 12 (8), pp. 2569-2594 . doi:10.5194/tc-12-2569-2018 <https://doi.org/10.5194/tc-12-2569-2018> , hdl:10013/epic.2f818958-5f74-456e-8db8-a4ab8dd2b914 |
op_doi |
https://doi.org/10.5194/tc-12-2569-2018 |
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The Cryosphere |
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