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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Published in:Journal of Climate
Main Authors: 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
Other Authors: Univ Arizona, Dept Atmospher Sci
Format: Article in Journal/Newspaper
Language:English
Published: AMER METEOROLOGICAL SOC 2016
Subjects:
Online Access:http://hdl.handle.net/10150/621720
https://doi.org/10.1175/JCLI-D-15-0415.1
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spelling 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
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