Land surface climate in the regional Arctic system model

Joseph Hamman, Bart Nijssen, Michael Brunke, John Cassano, Anthony Craig, Alice DuVivier, Mimi Hughes, Dennis P. Lettenmaier, Wieslaw Maslowski, Robert Osinski, Andrew Roberts, Xubin Zeng

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

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°C; however, in the cold seasons there are local biases that exceed 6°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.

Original languageEnglish (US)
Pages (from-to)6543-6562
Number of pages20
JournalJournal of Climate
Volume29
Issue number18
DOIs
StatePublished - 2016

Fingerprint

land surface
climate
snow
runoff
climate cycle
biome
tundra
annual cycle
boreal forest
climatology
energy balance
evapotranspiration
water budget
surface temperature
infiltration
partitioning
air temperature
melt
simulation

Keywords

  • Arctic
  • Climatology
  • Geographic location/entity
  • Hydrology
  • Hydrometeorology
  • Land surface
  • Models and modeling
  • Physical Meteorology and Climatology
  • Regional models

ASJC Scopus subject areas

  • Atmospheric Science

Cite this

Hamman, J., Nijssen, B., Brunke, M., Cassano, J., Craig, A., DuVivier, A., ... Zeng, X. (2016). Land surface climate in the regional Arctic system model. Journal of Climate, 29(18), 6543-6562. https://doi.org/10.1175/JCLI-D-15-0415.1

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.

In: Journal of Climate, Vol. 29, No. 18, 2016, p. 6543-6562.

Research output: Contribution to journalArticle

Hamman, J, Nijssen, B, Brunke, M, Cassano, J, Craig, A, DuVivier, A, Hughes, M, Lettenmaier, DP, Maslowski, W, Osinski, R, Roberts, A & Zeng, X 2016, 'Land surface climate in the regional Arctic system model', Journal of Climate, vol. 29, no. 18, pp. 6543-6562. https://doi.org/10.1175/JCLI-D-15-0415.1
Hamman J, Nijssen B, Brunke M, Cassano J, Craig A, DuVivier A et al. Land surface climate in the regional Arctic system model. Journal of Climate. 2016;29(18):6543-6562. https://doi.org/10.1175/JCLI-D-15-0415.1
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. In: Journal of Climate. 2016 ; Vol. 29, No. 18. pp. 6543-6562.
@article{56a419fbd4564a3ea6c5202ca28ca397,
title = "Land surface climate in the regional Arctic system model",
abstract = "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°C; however, in the cold seasons there are local biases that exceed 6°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.",
keywords = "Arctic, Climatology, Geographic location/entity, Hydrology, Hydrometeorology, Land surface, Models and modeling, Physical Meteorology and Climatology, Regional models",
author = "Joseph Hamman and Bart Nijssen and Michael Brunke and John Cassano and Anthony Craig and Alice DuVivier and Mimi Hughes and Lettenmaier, {Dennis P.} and Wieslaw Maslowski and Robert Osinski and Andrew Roberts and Xubin Zeng",
year = "2016",
doi = "10.1175/JCLI-D-15-0415.1",
language = "English (US)",
volume = "29",
pages = "6543--6562",
journal = "Journal of Climate",
issn = "0894-8755",
publisher = "American Meteorological Society",
number = "18",

}

TY - JOUR

T1 - Land surface climate in the regional Arctic system model

AU - Hamman, Joseph

AU - Nijssen, Bart

AU - Brunke, Michael

AU - Cassano, John

AU - Craig, Anthony

AU - DuVivier, Alice

AU - Hughes, Mimi

AU - Lettenmaier, Dennis P.

AU - Maslowski, Wieslaw

AU - Osinski, Robert

AU - Roberts, Andrew

AU - Zeng, Xubin

PY - 2016

Y1 - 2016

N2 - 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°C; however, in the cold seasons there are local biases that exceed 6°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.

AB - 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°C; however, in the cold seasons there are local biases that exceed 6°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.

KW - Arctic

KW - Climatology

KW - Geographic location/entity

KW - Hydrology

KW - Hydrometeorology

KW - Land surface

KW - Models and modeling

KW - Physical Meteorology and Climatology

KW - Regional models

UR - http://www.scopus.com/inward/record.url?scp=84988038515&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84988038515&partnerID=8YFLogxK

U2 - 10.1175/JCLI-D-15-0415.1

DO - 10.1175/JCLI-D-15-0415.1

M3 - Article

AN - SCOPUS:84988038515

VL - 29

SP - 6543

EP - 6562

JO - Journal of Climate

JF - Journal of Climate

SN - 0894-8755

IS - 18

ER -