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Z. Cao, Jian-lin Ma (2005)
An Application of the Variational Method to Computation of Sensible Heat Flux over a Deciduous ForestJournal of Applied Meteorology, 44
A. Holtslag, H. Bruin (1988)
Applied Modeling of the Nighttime Surface Energy Balance over LandJournal of Applied Meteorology, 27
Z. Cao, Jian-lin Ma, W. Rouse (2006)
Improving Computation of Sensible Heat Flux over a Water Surface Using the Variational MethodJournal of Hydrometeorology, 7
A. Grachev, E. Andreas, C. Fairall, P. Guest, P. Persson (2007)
On the turbulent Prandtl number in the stable atmospheric boundary layerBoundary-Layer Meteorology, 125
S. Dowdy, S. Wearden (1983)
Statistics for Research
(1973)
On the Mechanics of Atmospheric Turbulence
Z. Cao, Muyin Wang, B. Proctor, G. Strong, R. Stewart, H. Ritchie, J. Burford (2002)
On the physical processes associated with the water budget and discharge of the Mackenzie basin during the 1994/95 water yearAtmosphere-Ocean, 40
Garratt (1994)
The Atmospheric Boundary Layer.
Z. Sorbjan (2006)
Local Structure of Turbulence in Stably Stratified Boundary LayersJournal of the Atmospheric Sciences, 63
A. Betts, C. Jakob (2002)
Evaluation of the diurnal cycle of precipitation, surface thermodynamics, and surface fluxes in the ECMWF model using LBA dataJournal of Geophysical Research, 107
P. Guest, K. Davidson (1991)
The aerodynamic roughness of different types of sea iceJournal of Geophysical Research, 96
A. Grachev, Edgar Andreas, C. Fairall, P. Guest, P. Persson (2008)
Turbulent measurements in the stable atmospheric boundary layer during SHEBA: ten years afterActa Geophysica, 56
A. Grachev, C. Fairall, P. Persson, Edgar Andreas, P. Guest (2005)
Stable Boundary-Layer Scaling Regimes: The Sheba DataBoundary-Layer Meteorology, 116
A. Yaglom (1977)
Comments on wind and temperature flux-profile relationshipsBoundary-Layer Meteorology, 11
W. Brutsaert (1982)
Evaporation into the atmosphere
J. Garratt (1994)
Review: the atmospheric boundary layerEarth-Science Reviews, 37
J. Businger, J. Wyngaard, Y. Izumi, E. Bradley (1971)
Flux-Profile Relationships in the Atmospheric Surface LayerJournal of the Atmospheric Sciences, 28
P. Persson, C. Fairall, E. Andreas, P. Guest, D. Perovich (2002)
Measurements near the Atmospheric Surface Flux Group tower at SHEBA: Near‐surface conditions and surface energy budgetJournal of Geophysical Research, 107
Z. Sorbjan (2006)
Comments on ‘Flux–gradient relationship, self‐correlation and intermittency in the stable boundary layer’Quarterly Journal of the Royal Meteorological Society, 132
A. Beljaars, A. Holtslag (1991)
Flux Parameterization over Land Surfaces for Atmospheric ModelsJournal of Applied Meteorology, 30
Z. Sorbjan (2006)
Statistics of Scalar Fields in the Atmospheric Boundary Layer Based on Large-Eddy Simulations. Part II: Forced ConvectionBoundary-Layer Meteorology, 119
Andreas (2004)
Roughness lengths over snow.
Andreas (1999)
An overview of the SHEBA atmospheric flux program.
Qin Xu, C. Qiu (1997)
A Variational Method for Computing Surface Heat Fluxes from ARM Surface Energy and Radiation Balance SystemsJournal of Applied Meteorology, 36
R. Daley (1991)
Atmospheric Data Analysis
A. Grachev, E. Andreas, C. Fairall, P. Guest, P. Persson (2007)
SHEBA flux–profile relationships in the stable atmospheric boundary layerBoundary-Layer Meteorology, 124
In this study, a variational approach was employed to compute surface sensible heat flux over the Arctic sea ice. Because the variational approach is able to take into account information from the Monin–Obukhov similarity theory (MOST) as well as the observed meteorological information, it is expected to improve the pure MOST-based approach in computation of sensible heat flux. Verifications using the direct eddy-correlation measurements over the Arctic sea ice during the Surface Heat Budget of the Arctic Ocean (SHEBA) experiment period of 1997/98 show that the variational method yields good agreement between the computed and the measured sensible heat fluxes. The variational method is also shown to be more accurate than the traditional MOST method in the computation of sensible heat flux over the Arctic sea ice.
Journal of Atmospheric and Oceanic Technology – American Meteorological Society
Published: Aug 28, 2008
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