An intercomparison of bulk aerodynamic algorithms used over sea ice with data from the Surface Heat Budget for the Arctic Ocean (SHEBA) experiment

Michael A. Brunke, Mingyu Zhou, Xubin Zeng, Edgar L. Andreas

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

The presence of sea ice fundamentally changes the energy and momentum exchange between the ocean and the atmosphere in the Arctic. Thus an accurate representation of the surface turbulent fluxes in climate models is a necessity. An intercomparison of bulk aerodynamic algorithms that calculate surface turbulent fluxes in four climate and numerical weather prediction models is undertaken using data from the Surface Heat Budget of the Arctic Ocean (SHEBA) field experiment, which occurred on the ice in the Beaufort and Chukchi seas north of Alaska from October 1997 to October 1998. Algorithm deficiencies include the consistently higher wind stresses produced by the Arctic Regional Climate System Model (ARCSYM) algorithm; the lower sensible heat fluxes under stable conditions by the algorithms in ARCSYM, the National Center for Environmental Prediction's Global Forecasting System model, and the European Centre for Medium-Range Weather Forecasts (ECMWF) model; and the lower wind stresses by the National Center for Atmospheric Research's Community Climate System Model (CCSM) algorithm under stable conditions. Unlike the constants used in most of the four model algorithms, the roughness lengths for momentum can be fitted by an exponential function with parameters that account for the seasonality in the roughness length. The roughness lengths for heat, Zot, can be considered a constant (e.g., that used in CCSM, 0.5 mm), similar to what was found by Andreas et al. (2004). When these roughness lengths were implemented into the CCSM and ECMWF algorithms, they produced slightly better wind stresses and sensible heat fluxes most of the time.

Original languageEnglish (US)
Article numberC09001
JournalJournal of Geophysical Research: Space Physics
Volume111
Issue number9
DOIs
StatePublished - Sep 8 2006

Fingerprint

heat budget
Arctic Ocean
Sea ice
sea ice
aerodynamics
Aerodynamics
climate
Wind stress
roughness
experiment
Experiments
Surface roughness
wind stress
weather
forecasting
sensible heat flux
regional climate
Heat flux
heat flux
momentum

ASJC Scopus subject areas

  • Geochemistry and Petrology
  • Geophysics
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science
  • Atmospheric Science
  • Astronomy and Astrophysics
  • Oceanography

Cite this

An intercomparison of bulk aerodynamic algorithms used over sea ice with data from the Surface Heat Budget for the Arctic Ocean (SHEBA) experiment. / Brunke, Michael A.; Zhou, Mingyu; Zeng, Xubin; Andreas, Edgar L.

In: Journal of Geophysical Research: Space Physics, Vol. 111, No. 9, C09001, 08.09.2006.

Research output: Contribution to journalArticle

@article{bbd45f2a50744eb28cdbb828550e01b3,
title = "An intercomparison of bulk aerodynamic algorithms used over sea ice with data from the Surface Heat Budget for the Arctic Ocean (SHEBA) experiment",
abstract = "The presence of sea ice fundamentally changes the energy and momentum exchange between the ocean and the atmosphere in the Arctic. Thus an accurate representation of the surface turbulent fluxes in climate models is a necessity. An intercomparison of bulk aerodynamic algorithms that calculate surface turbulent fluxes in four climate and numerical weather prediction models is undertaken using data from the Surface Heat Budget of the Arctic Ocean (SHEBA) field experiment, which occurred on the ice in the Beaufort and Chukchi seas north of Alaska from October 1997 to October 1998. Algorithm deficiencies include the consistently higher wind stresses produced by the Arctic Regional Climate System Model (ARCSYM) algorithm; the lower sensible heat fluxes under stable conditions by the algorithms in ARCSYM, the National Center for Environmental Prediction's Global Forecasting System model, and the European Centre for Medium-Range Weather Forecasts (ECMWF) model; and the lower wind stresses by the National Center for Atmospheric Research's Community Climate System Model (CCSM) algorithm under stable conditions. Unlike the constants used in most of the four model algorithms, the roughness lengths for momentum can be fitted by an exponential function with parameters that account for the seasonality in the roughness length. The roughness lengths for heat, Zot, can be considered a constant (e.g., that used in CCSM, 0.5 mm), similar to what was found by Andreas et al. (2004). When these roughness lengths were implemented into the CCSM and ECMWF algorithms, they produced slightly better wind stresses and sensible heat fluxes most of the time.",
author = "Brunke, {Michael A.} and Mingyu Zhou and Xubin Zeng and Andreas, {Edgar L.}",
year = "2006",
month = "9",
day = "8",
doi = "10.1029/2005JC002907",
language = "English (US)",
volume = "111",
journal = "Journal of Geophysical Research: Space Physics",
issn = "2169-9380",
publisher = "Wiley-Blackwell",
number = "9",

}

TY - JOUR

T1 - An intercomparison of bulk aerodynamic algorithms used over sea ice with data from the Surface Heat Budget for the Arctic Ocean (SHEBA) experiment

AU - Brunke, Michael A.

AU - Zhou, Mingyu

AU - Zeng, Xubin

AU - Andreas, Edgar L.

PY - 2006/9/8

Y1 - 2006/9/8

N2 - The presence of sea ice fundamentally changes the energy and momentum exchange between the ocean and the atmosphere in the Arctic. Thus an accurate representation of the surface turbulent fluxes in climate models is a necessity. An intercomparison of bulk aerodynamic algorithms that calculate surface turbulent fluxes in four climate and numerical weather prediction models is undertaken using data from the Surface Heat Budget of the Arctic Ocean (SHEBA) field experiment, which occurred on the ice in the Beaufort and Chukchi seas north of Alaska from October 1997 to October 1998. Algorithm deficiencies include the consistently higher wind stresses produced by the Arctic Regional Climate System Model (ARCSYM) algorithm; the lower sensible heat fluxes under stable conditions by the algorithms in ARCSYM, the National Center for Environmental Prediction's Global Forecasting System model, and the European Centre for Medium-Range Weather Forecasts (ECMWF) model; and the lower wind stresses by the National Center for Atmospheric Research's Community Climate System Model (CCSM) algorithm under stable conditions. Unlike the constants used in most of the four model algorithms, the roughness lengths for momentum can be fitted by an exponential function with parameters that account for the seasonality in the roughness length. The roughness lengths for heat, Zot, can be considered a constant (e.g., that used in CCSM, 0.5 mm), similar to what was found by Andreas et al. (2004). When these roughness lengths were implemented into the CCSM and ECMWF algorithms, they produced slightly better wind stresses and sensible heat fluxes most of the time.

AB - The presence of sea ice fundamentally changes the energy and momentum exchange between the ocean and the atmosphere in the Arctic. Thus an accurate representation of the surface turbulent fluxes in climate models is a necessity. An intercomparison of bulk aerodynamic algorithms that calculate surface turbulent fluxes in four climate and numerical weather prediction models is undertaken using data from the Surface Heat Budget of the Arctic Ocean (SHEBA) field experiment, which occurred on the ice in the Beaufort and Chukchi seas north of Alaska from October 1997 to October 1998. Algorithm deficiencies include the consistently higher wind stresses produced by the Arctic Regional Climate System Model (ARCSYM) algorithm; the lower sensible heat fluxes under stable conditions by the algorithms in ARCSYM, the National Center for Environmental Prediction's Global Forecasting System model, and the European Centre for Medium-Range Weather Forecasts (ECMWF) model; and the lower wind stresses by the National Center for Atmospheric Research's Community Climate System Model (CCSM) algorithm under stable conditions. Unlike the constants used in most of the four model algorithms, the roughness lengths for momentum can be fitted by an exponential function with parameters that account for the seasonality in the roughness length. The roughness lengths for heat, Zot, can be considered a constant (e.g., that used in CCSM, 0.5 mm), similar to what was found by Andreas et al. (2004). When these roughness lengths were implemented into the CCSM and ECMWF algorithms, they produced slightly better wind stresses and sensible heat fluxes most of the time.

UR - http://www.scopus.com/inward/record.url?scp=34548537290&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34548537290&partnerID=8YFLogxK

U2 - 10.1029/2005JC002907

DO - 10.1029/2005JC002907

M3 - Article

VL - 111

JO - Journal of Geophysical Research: Space Physics

JF - Journal of Geophysical Research: Space Physics

SN - 2169-9380

IS - 9

M1 - C09001

ER -