Process-resolving Regional Arctic System Model for Advanced Modeling and Prediction of Arctic Climate System
15th Conference on Polar Meteorology and Oceanography The Regional Arctic System Model (RASM) is a fully coupled limited-domain ice-ocean-atmosphere-land hydrology model. Its domain is pan-Arctic, with the atmosphere and land components configured on a 50-km or 25-km grid. The ocean and sea ice comp...
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ftnavalpschool:oai:calhoun.nps.edu:10945/66156 2024-06-09T07:42:09+00:00 Process-resolving Regional Arctic System Model for Advanced Modeling and Prediction of Arctic Climate System Maslowski, Wieslaw Osinski, Robert Lee, Younjoo Kinney, Jaclyn Clement Cassano, J.J. Seefeldt, Mark W. Craig, Anthony P. Nijssen, Bart Gergel, Diana R. Naval Postgraduate School (U.S.) Oceanography 2019-05 2 p. application/pdf https://hdl.handle.net/10945/66156 unknown AMS Maslowski, Wieslaw, et al. "Process-resolving Regional Arctic System Model for Advanced Modeling and Prediction of Arctic Climate System." 15th Conference on Polar Meteorology and Oceanography. AMS, 2019. https://hdl.handle.net/10945/66156 This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. Abstract 2019 ftnavalpschool 2024-05-15T01:02:41Z 15th Conference on Polar Meteorology and Oceanography The Regional Arctic System Model (RASM) is a fully coupled limited-domain ice-ocean-atmosphere-land hydrology model. Its domain is pan-Arctic, with the atmosphere and land components configured on a 50-km or 25-km grid. The ocean and sea ice components are configured on rotated sphere meshes with four configuration options: 1/12o (~9.3km) or 1/48o (~2.4km) in the horizontal space and with 45 or 60 vertical layers. As a regional climate model, RASM requires boundary conditions along its lateral boundaries and in the upper atmosphere, which are derived either from global atmospheric reanalyses for simulations of the past to present or from Earth System models (ESMs) for climate projections. In the former case, this allow comparison of RASM results with observations in place and time, which is a unique capability not available in global ESMs. RASM has been developed and used to investigate critical processes controlling the evolution of the Arctic climate system under a diminishing sea ice cover. Several examples of key physical processes and coupling between different model components will be presented, that improve the representation of the past and present Arctic climate system. The impact of such processes and feedbacks will be discussed with regard to improving model physics and reducing biases in the representation of its initial state for prediction of Arctic climate at time scales from synoptic to intra-annual. Article in Journal/Newspaper Arctic Arctic Sea ice Naval Postgraduate School: Calhoun Arctic |
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Naval Postgraduate School: Calhoun |
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ftnavalpschool |
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unknown |
description |
15th Conference on Polar Meteorology and Oceanography The Regional Arctic System Model (RASM) is a fully coupled limited-domain ice-ocean-atmosphere-land hydrology model. Its domain is pan-Arctic, with the atmosphere and land components configured on a 50-km or 25-km grid. The ocean and sea ice components are configured on rotated sphere meshes with four configuration options: 1/12o (~9.3km) or 1/48o (~2.4km) in the horizontal space and with 45 or 60 vertical layers. As a regional climate model, RASM requires boundary conditions along its lateral boundaries and in the upper atmosphere, which are derived either from global atmospheric reanalyses for simulations of the past to present or from Earth System models (ESMs) for climate projections. In the former case, this allow comparison of RASM results with observations in place and time, which is a unique capability not available in global ESMs. RASM has been developed and used to investigate critical processes controlling the evolution of the Arctic climate system under a diminishing sea ice cover. Several examples of key physical processes and coupling between different model components will be presented, that improve the representation of the past and present Arctic climate system. The impact of such processes and feedbacks will be discussed with regard to improving model physics and reducing biases in the representation of its initial state for prediction of Arctic climate at time scales from synoptic to intra-annual. |
author2 |
Naval Postgraduate School (U.S.) Oceanography |
format |
Article in Journal/Newspaper |
author |
Maslowski, Wieslaw Osinski, Robert Lee, Younjoo Kinney, Jaclyn Clement Cassano, J.J. Seefeldt, Mark W. Craig, Anthony P. Nijssen, Bart Gergel, Diana R. |
spellingShingle |
Maslowski, Wieslaw Osinski, Robert Lee, Younjoo Kinney, Jaclyn Clement Cassano, J.J. Seefeldt, Mark W. Craig, Anthony P. Nijssen, Bart Gergel, Diana R. Process-resolving Regional Arctic System Model for Advanced Modeling and Prediction of Arctic Climate System |
author_facet |
Maslowski, Wieslaw Osinski, Robert Lee, Younjoo Kinney, Jaclyn Clement Cassano, J.J. Seefeldt, Mark W. Craig, Anthony P. Nijssen, Bart Gergel, Diana R. |
author_sort |
Maslowski, Wieslaw |
title |
Process-resolving Regional Arctic System Model for Advanced Modeling and Prediction of Arctic Climate System |
title_short |
Process-resolving Regional Arctic System Model for Advanced Modeling and Prediction of Arctic Climate System |
title_full |
Process-resolving Regional Arctic System Model for Advanced Modeling and Prediction of Arctic Climate System |
title_fullStr |
Process-resolving Regional Arctic System Model for Advanced Modeling and Prediction of Arctic Climate System |
title_full_unstemmed |
Process-resolving Regional Arctic System Model for Advanced Modeling and Prediction of Arctic Climate System |
title_sort |
process-resolving regional arctic system model for advanced modeling and prediction of arctic climate system |
publisher |
AMS |
publishDate |
2019 |
url |
https://hdl.handle.net/10945/66156 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic Sea ice |
genre_facet |
Arctic Arctic Sea ice |
op_relation |
Maslowski, Wieslaw, et al. "Process-resolving Regional Arctic System Model for Advanced Modeling and Prediction of Arctic Climate System." 15th Conference on Polar Meteorology and Oceanography. AMS, 2019. https://hdl.handle.net/10945/66156 |
op_rights |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. |
_version_ |
1801371066546782208 |