Evaluation of the atmosphere–land–ocean–sea ice interface processes in the Regional Arctic System Model version 1 (RASM1) using local and globally gridded observations
The Regional Arctic System Model version 1 (RASM1) has been developed to provide high-resolution simulations of the Arctic atmosphere–ocean–sea ice–land system. Here, we provide a baseline for the capability of RASM to simulate interface processes by comparing retrospective simulations from RASM1 fo...
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ftiowastateuniv:oai:lib.dr.iastate.edu:ge_at_pubs-1291 2023-05-15T14:54:23+02:00 Evaluation of the atmosphere–land–ocean–sea ice interface processes in the Regional Arctic System Model version 1 (RASM1) using local and globally gridded observations Brunke, Michael A. Cassano, John J. Dawson, Nicholas DuVivier, Alice K. Gutowski, William J., Jr. Hamman, Joseph Maslowski, Wieslaw Nijssen, Bart Eyre, J. E. Jack Reeves Renteria, José C. Roberts, Andrew Zeng, Xubin 2018-01-01T08:00:00Z application/pdf https://lib.dr.iastate.edu/ge_at_pubs/280 https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1291&context=ge_at_pubs en eng Iowa State University Digital Repository https://lib.dr.iastate.edu/ge_at_pubs/280 https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1291&context=ge_at_pubs Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted. Geological and Atmospheric Sciences Publications Atmospheric Sciences Oceanography Statistical Models text 2018 ftiowastateuniv 2021-08-21T22:45:31Z The Regional Arctic System Model version 1 (RASM1) has been developed to provide high-resolution simulations of the Arctic atmosphere–ocean–sea ice–land system. Here, we provide a baseline for the capability of RASM to simulate interface processes by comparing retrospective simulations from RASM1 for 1990–2014 with the Community Earth System Model version 1 (CESM1) and the spread across three recent reanalyses. Evaluations of surface and 2 m air temperature, surface radiative and turbulent fluxes, precipitation, and snow depth in the various models and reanalyses are performed using global and regional datasets and a variety of in situ datasets, including flux towers over land, ship cruises over oceans, and a field experiment over sea ice. These evaluations reveal that RASM1 simulates precipitation that is similar to CESM1, reanalyses, and satellite gauge combined precipitation datasets over all river basins within the RASM domain. Snow depth in RASM is closer to upscaled surface observations over a flatter region than in more mountainous terrain in Alaska. The sea ice–atmosphere interface is well simulated in regards to radiation fluxes, which generally fall within observational uncertainty. RASM1 monthly mean surface temperature and radiation biases are shown to be due to biases in the simulated mean diurnal cycle. At some locations, a minimal monthly mean bias is shown to be due to the compensation of roughly equal but opposite biases between daytime and nighttime, whereas this is not the case at locations where the monthly mean bias is higher in magnitude. These biases are derived from errors in the diurnal cycle of the energy balance (radiative and turbulent flux) components. Therefore, the key to advancing the simulation of SAT and the surface energy budget would be to improve the representation of the diurnal cycle of radiative and turbulent fluxes. The development of RASM2 aims to address these biases. Still, an advantage of RASM1 is that it captures the interannual and interdecadal variability in the climate of the Arctic region, which global models like CESM cannot do. Text Arctic Sea ice Alaska Digital Repository @ Iowa State University Arctic |
institution |
Open Polar |
collection |
Digital Repository @ Iowa State University |
op_collection_id |
ftiowastateuniv |
language |
English |
topic |
Atmospheric Sciences Oceanography Statistical Models |
spellingShingle |
Atmospheric Sciences Oceanography Statistical Models Brunke, Michael A. Cassano, John J. Dawson, Nicholas DuVivier, Alice K. Gutowski, William J., Jr. Hamman, Joseph Maslowski, Wieslaw Nijssen, Bart Eyre, J. E. Jack Reeves Renteria, José C. Roberts, Andrew Zeng, Xubin Evaluation of the atmosphere–land–ocean–sea ice interface processes in the Regional Arctic System Model version 1 (RASM1) using local and globally gridded observations |
topic_facet |
Atmospheric Sciences Oceanography Statistical Models |
description |
The Regional Arctic System Model version 1 (RASM1) has been developed to provide high-resolution simulations of the Arctic atmosphere–ocean–sea ice–land system. Here, we provide a baseline for the capability of RASM to simulate interface processes by comparing retrospective simulations from RASM1 for 1990–2014 with the Community Earth System Model version 1 (CESM1) and the spread across three recent reanalyses. Evaluations of surface and 2 m air temperature, surface radiative and turbulent fluxes, precipitation, and snow depth in the various models and reanalyses are performed using global and regional datasets and a variety of in situ datasets, including flux towers over land, ship cruises over oceans, and a field experiment over sea ice. These evaluations reveal that RASM1 simulates precipitation that is similar to CESM1, reanalyses, and satellite gauge combined precipitation datasets over all river basins within the RASM domain. Snow depth in RASM is closer to upscaled surface observations over a flatter region than in more mountainous terrain in Alaska. The sea ice–atmosphere interface is well simulated in regards to radiation fluxes, which generally fall within observational uncertainty. RASM1 monthly mean surface temperature and radiation biases are shown to be due to biases in the simulated mean diurnal cycle. At some locations, a minimal monthly mean bias is shown to be due to the compensation of roughly equal but opposite biases between daytime and nighttime, whereas this is not the case at locations where the monthly mean bias is higher in magnitude. These biases are derived from errors in the diurnal cycle of the energy balance (radiative and turbulent flux) components. Therefore, the key to advancing the simulation of SAT and the surface energy budget would be to improve the representation of the diurnal cycle of radiative and turbulent fluxes. The development of RASM2 aims to address these biases. Still, an advantage of RASM1 is that it captures the interannual and interdecadal variability in the climate of the Arctic region, which global models like CESM cannot do. |
format |
Text |
author |
Brunke, Michael A. Cassano, John J. Dawson, Nicholas DuVivier, Alice K. Gutowski, William J., Jr. Hamman, Joseph Maslowski, Wieslaw Nijssen, Bart Eyre, J. E. Jack Reeves Renteria, José C. Roberts, Andrew Zeng, Xubin |
author_facet |
Brunke, Michael A. Cassano, John J. Dawson, Nicholas DuVivier, Alice K. Gutowski, William J., Jr. Hamman, Joseph Maslowski, Wieslaw Nijssen, Bart Eyre, J. E. Jack Reeves Renteria, José C. Roberts, Andrew Zeng, Xubin |
author_sort |
Brunke, Michael A. |
title |
Evaluation of the atmosphere–land–ocean–sea ice interface processes in the Regional Arctic System Model version 1 (RASM1) using local and globally gridded observations |
title_short |
Evaluation of the atmosphere–land–ocean–sea ice interface processes in the Regional Arctic System Model version 1 (RASM1) using local and globally gridded observations |
title_full |
Evaluation of the atmosphere–land–ocean–sea ice interface processes in the Regional Arctic System Model version 1 (RASM1) using local and globally gridded observations |
title_fullStr |
Evaluation of the atmosphere–land–ocean–sea ice interface processes in the Regional Arctic System Model version 1 (RASM1) using local and globally gridded observations |
title_full_unstemmed |
Evaluation of the atmosphere–land–ocean–sea ice interface processes in the Regional Arctic System Model version 1 (RASM1) using local and globally gridded observations |
title_sort |
evaluation of the atmosphere–land–ocean–sea ice interface processes in the regional arctic system model version 1 (rasm1) using local and globally gridded observations |
publisher |
Iowa State University Digital Repository |
publishDate |
2018 |
url |
https://lib.dr.iastate.edu/ge_at_pubs/280 https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1291&context=ge_at_pubs |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice Alaska |
genre_facet |
Arctic Sea ice Alaska |
op_source |
Geological and Atmospheric Sciences Publications |
op_relation |
https://lib.dr.iastate.edu/ge_at_pubs/280 https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1291&context=ge_at_pubs |
op_rights |
Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted. |
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