Land Surface Climate in the Regional Arctic System Model
The Regional Arctic System Model (RASM) is a fully coupled, regional Earth system model applied over the pan-Arctic domain. This paper discusses the implementation of the Variable Infiltration Capacity land surface model (VIC) in RASM and evaluates the ability of RASM, version 1.0, to capture key fe...
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Online Access: | http://hdl.handle.net/10150/621720 https://doi.org/10.1175/JCLI-D-15-0415.1 |
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ftunivarizona:oai:repository.arizona.edu:10150/621720 2023-05-15T14:24:39+02:00 Land Surface Climate in the Regional Arctic System Model Hamman, Joseph Nijssen, Bart Brunke, Michael Cassano, John Craig, Anthony DuVivier, Alice Hughes, Mimi Lettenmaier, Dennis P. Maslowski, Wieslaw Osinski, Robert Roberts, Andrew Zeng, Xubin Univ Arizona, Dept Atmospher Sci 2016-09 http://hdl.handle.net/10150/621720 https://doi.org/10.1175/JCLI-D-15-0415.1 en eng AMER METEOROLOGICAL SOC http://journals.ametsoc.org/doi/10.1175/JCLI-D-15-0415.1 Land Surface Climate in the Regional Arctic System Model 2016, 29 (18):6543 Journal of Climate 0894-8755 1520-0442 doi:10.1175/JCLI-D-15-0415.1 http://hdl.handle.net/10150/621720 Journal of Climate © 2016 American Meteorological Society Article 2016 ftunivarizona https://doi.org/10.1175/JCLI-D-15-0415.1 2020-06-14T08:14:59Z The Regional Arctic System Model (RASM) is a fully coupled, regional Earth system model applied over the pan-Arctic domain. This paper discusses the implementation of the Variable Infiltration Capacity land surface model (VIC) in RASM and evaluates the ability of RASM, version 1.0, to capture key features of the land surface climate and hydrologic cycle for the period 1979-2014 in comparison with uncoupled VIC simulations, reanalysis datasets, satellite measurements, and in situ observations. RASM reproduces the dominant features of the land surface climatology in the Arctic, such as the amount and regional distribution of precipitation, the partitioning of precipitation between runoff and evapotranspiration, the effects of snow on the water and energy balance, and the differences in turbulent fluxes between the tundra and taiga biomes. Surface air temperature biases in RASM, compared to reanalysis datasets ERA-Interim and MERRA, are generally less than 2 degrees C; however, in the cold seasons there are local biases that exceed 6 degrees C. Compared to satellite observations, RASM captures the annual cycle of snow-covered area well, although melt progresses about two weeks faster than observations in the late spring at high latitudes. With respect to derived fluxes, such as latent heat or runoff, RASM is shown to have similar performance statistics as ERA-Interim while differing substantially from MERRA, which consistently overestimates the evaporative flux across the Arctic region. U.S. Department of Energy (DOE) [DE-FG02-07ER64460, DE-SC0006856, DE-SC0006178]; DOD Published Online: 26 August 2016; 6 Month Embargo. This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu. Article in Journal/Newspaper Arctic Arctic taiga Tundra The University of Arizona: UA Campus Repository Arctic Merra ENVELOPE(12.615,12.615,65.816,65.816) Journal of Climate 29 18 6543 6562 |
institution |
Open Polar |
collection |
The University of Arizona: UA Campus Repository |
op_collection_id |
ftunivarizona |
language |
English |
description |
The Regional Arctic System Model (RASM) is a fully coupled, regional Earth system model applied over the pan-Arctic domain. This paper discusses the implementation of the Variable Infiltration Capacity land surface model (VIC) in RASM and evaluates the ability of RASM, version 1.0, to capture key features of the land surface climate and hydrologic cycle for the period 1979-2014 in comparison with uncoupled VIC simulations, reanalysis datasets, satellite measurements, and in situ observations. RASM reproduces the dominant features of the land surface climatology in the Arctic, such as the amount and regional distribution of precipitation, the partitioning of precipitation between runoff and evapotranspiration, the effects of snow on the water and energy balance, and the differences in turbulent fluxes between the tundra and taiga biomes. Surface air temperature biases in RASM, compared to reanalysis datasets ERA-Interim and MERRA, are generally less than 2 degrees C; however, in the cold seasons there are local biases that exceed 6 degrees C. Compared to satellite observations, RASM captures the annual cycle of snow-covered area well, although melt progresses about two weeks faster than observations in the late spring at high latitudes. With respect to derived fluxes, such as latent heat or runoff, RASM is shown to have similar performance statistics as ERA-Interim while differing substantially from MERRA, which consistently overestimates the evaporative flux across the Arctic region. U.S. Department of Energy (DOE) [DE-FG02-07ER64460, DE-SC0006856, DE-SC0006178]; DOD Published Online: 26 August 2016; 6 Month Embargo. This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu. |
author2 |
Univ Arizona, Dept Atmospher Sci |
format |
Article in Journal/Newspaper |
author |
Hamman, Joseph Nijssen, Bart Brunke, Michael Cassano, John Craig, Anthony DuVivier, Alice Hughes, Mimi Lettenmaier, Dennis P. Maslowski, Wieslaw Osinski, Robert Roberts, Andrew Zeng, Xubin |
spellingShingle |
Hamman, Joseph Nijssen, Bart Brunke, Michael Cassano, John Craig, Anthony DuVivier, Alice Hughes, Mimi Lettenmaier, Dennis P. Maslowski, Wieslaw Osinski, Robert Roberts, Andrew Zeng, Xubin Land Surface Climate in the Regional Arctic System Model |
author_facet |
Hamman, Joseph Nijssen, Bart Brunke, Michael Cassano, John Craig, Anthony DuVivier, Alice Hughes, Mimi Lettenmaier, Dennis P. Maslowski, Wieslaw Osinski, Robert Roberts, Andrew Zeng, Xubin |
author_sort |
Hamman, Joseph |
title |
Land Surface Climate in the Regional Arctic System Model |
title_short |
Land Surface Climate in the Regional Arctic System Model |
title_full |
Land Surface Climate in the Regional Arctic System Model |
title_fullStr |
Land Surface Climate in the Regional Arctic System Model |
title_full_unstemmed |
Land Surface Climate in the Regional Arctic System Model |
title_sort |
land surface climate in the regional arctic system model |
publisher |
AMER METEOROLOGICAL SOC |
publishDate |
2016 |
url |
http://hdl.handle.net/10150/621720 https://doi.org/10.1175/JCLI-D-15-0415.1 |
long_lat |
ENVELOPE(12.615,12.615,65.816,65.816) |
geographic |
Arctic Merra |
geographic_facet |
Arctic Merra |
genre |
Arctic Arctic taiga Tundra |
genre_facet |
Arctic Arctic taiga Tundra |
op_relation |
http://journals.ametsoc.org/doi/10.1175/JCLI-D-15-0415.1 Land Surface Climate in the Regional Arctic System Model 2016, 29 (18):6543 Journal of Climate 0894-8755 1520-0442 doi:10.1175/JCLI-D-15-0415.1 http://hdl.handle.net/10150/621720 Journal of Climate |
op_rights |
© 2016 American Meteorological Society |
op_doi |
https://doi.org/10.1175/JCLI-D-15-0415.1 |
container_title |
Journal of Climate |
container_volume |
29 |
container_issue |
18 |
container_start_page |
6543 |
op_container_end_page |
6562 |
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1766297078175105024 |