Surface‐flux aggregation in heterogeneous terrain

Aggregation of surface fluxes in non‐homogeneous terrain is a difficult task due to the highly nonlinear processes governing especially the momentum flux. Results of the current work are high‐resolution maps of land‐surface momentum flux in a strongly heterogeneous mid‐latitude area in Europe, and aggregated values of the aerodynamic roughness lengths. This paper describes the development of a flux aggregation model based on a linearized set of the atmospheric flow equations solved by fast Fourier transforms. This is computationally efficient, therefore a large amount of data can be handled quickly. the input data to the model are high‐resolution (30 m x 30 m) roughness maps derived from classified satellite images and assigned Meteorological field values within a region (100 km x 100 km). the model deals with neutral flow only. the momentum‐flux results from this objective (physically based) method compare well with other models and experimental field data.

[1]  E. F. Bradley.  A micrometeorological study of velocity profiles and surface drag in the region modified by a change in surface roughness , 1968 .

[2]  H. Lettau.  Note on Aerodynamic Roughness-Parameter Estimation on the Basis of Roughness-Element Description , 1969 .

[3]  E. W. Peterson,et al.  Modification of mean flow and turbulent energy by a change in surface roughness under conditions of neutral stability , 1969 .

[4]  J. Wyngaard,et al.  The Structure of the Two-Dimensional Internal Boundary Layer over a Sudden Change of Surface Roughness , 1974 .

[5]  S. Idso,et al.  Wheat canopy temperature: A practical tool for evaluating water requirements , 1977 .

[6]  J. R. Garratt,et al.  Transfer characteristics for a heterogeneous surface of large aerodynamic roughness , 1978 .

[7]  Niels Otto Jensen,et al.  Change of surface roughness and the planetary boundary layer , 1978 .

[8]  N. Jensen.  Studies of the Atmospheric Surface Layer during Change in Surface Conditions , 1981 .

[9]  B. Séguin,et al.  Using midday surface temperature to estimate daily evaporation from satellite thermal IR data , 1983 .

[10]  H. Panofsky,et al.  Atmospheric Turbulence: Models and Methods for Engineering Applications , 1984 .

[11]  Erik Lundtang Petersen,et al.  The European Wind Atlas , 1985 .

[12]  Hiromi Yamazawa,et al.  Aerodynamic roughness over an inhomogeneous ground surface , 1986 .

[13]  J. Walmsley,et al.  A simple model of neutrally stratified boundary-layer flow over complex terrain with surface roughness modulations (MS3DJH/3R) , 1986 .

[14]  J. Wieringa.  Roughness‐dependent geographical interpolation of surface wind speed averages , 1986 .

[15]  Larry Mahrt,et al.  Grid-Averaged Surface Fluxes , 1987 .

[16]  Peter A. Taylor,et al.  Comments and further analysis on effective roughness lengths for use in numerical three-dimensional models , 1987 .

[17]  W. Shuttleworth,et al.  Macrohydrology ― the new challenge for process hydrology , 1988 .

[18]  R. Stull.  An Introduction to Boundary Layer Meteorology , 1988 .

[19]  B. Séguin,et al.  Numerical Modeling of Flame Inhibition by CF3Br , 1988 .

[20]  P. J. Mason,et al.  The formation of areally‐averaged roughness lengths , 1988 .

[21]  H. Søgaard.  Estimation of the surface energy balance in the Sahelian zone of Western Africa , 1988 .

[22]  Toby N. Carlson,et al.  On estimating total daily evapotranspiration from remote surface temperature measurements , 1989 .

[23]  Niels Gylling Mortensen,et al.  Response of neutral boundary layers to changes of roughness , 1990 .

[24]  L.J.M. Kroon,et al.  Fluxes in the Surface Layer Under Advective Conditions , 1991 .

[25]  Martin Claussen,et al.  Estimation of areally-averaged surface fluxes , 1991 .

[26]  Albert A. M. Holtslag,et al.  Flux Parameterization over Land Surfaces for Atmospheric Models , 1991 .

[27]  Nigel Wood,et al.  The influence of static stability on the effective roughness lengths for momentum and heat transfer , 1991 .

[28]  T. Vihma,et al.  On the effective roughness length for heterogeneous terrain , 1991 .

[29]  Thomas J. Jackson,et al.  Passive microwave remote sensing of soil moisture: results from HAPEX, FIFE and MONSOON 90 , 1992 .

[30]  Randal D. Koster,et al.  A comparative analysis of two land surface heterogeneity representations , 1992 .

[31]  J. Lagouarde,et al.  Daily sensible heat flux estimation from a single measurement of surface temperature and maximum air temperature , 1992 .

[32]  A. Pitman,et al.  Land‐surface schemes for future climate models: Specification, aggregation, and heterogeneity , 1992 .

[33]  W. Klaassen.  Average fluxes from heterogeneous vegetated regions , 1992 .

[34]  S. Larsen.  Observing and modelling the planetary boundary layer , 1993 .

[35]  K. E. Moore,et al.  How well can regional fluxes be derived from smaller‐scale estimates? , 1993 .

[36]  C. Hasager.  Satellite remote sensing as a tool for spatial evapotranspiration estimation in vegetated areas , 1993 .

[37]  M. Ek,et al.  Spatial variability of turbulent fluxes and roughness lengths in HAPEX-MOBILHY , 1993 .

[38]  J. Finnigan,et al.  Atmospheric Boundary Layer Flows: Their Structure and Measurement , 1994 .

[39]  Robert E. Dickinson,et al.  Simulating fluxes from heterogeneous land surfaces: Explicit subgrid method employing the biosphere‐atmosphere transfer scheme (BATS) , 1994 .

[40]  Jerry C. Ritchie,et al.  Estimation of effective aerodynamic roughness of Walnut Gulch watershed with laser altimeter measurements , 1994 .

[41]  Pascale C. Dubois,et al.  Measuring soil moisture with imaging radars , 1995, IEEE Trans. Geosci. Remote. Sens..

[42]  Lisa R. Gaddis,et al.  Potential Transport of Windblown Sand: Influence of Surface Roughness and Assessment with Radar Data , 1995 .

[43]  K. Jon Ranson,et al.  The Boreal Ecosystem-Atmosphere Study (BOREAS) : an overview and early results from the 1994 field year , 1995 .

[44]  Hans Peter Schmid,et al.  The influence of surface texture on the effective roughness length , 1995 .

[45]  Dan G. Blumberg,et al.  Preliminary analysis of Shuttle Radar Laboratory (SRL-1) data to study aeolian features and processes , 1995, IEEE Trans. Geosci. Remote. Sens..

[46]  Robert E. Dickinson,et al.  Land processes in climate models , 1995 .

[47]  Robert R. Gillies,et al.  A new look at the simplified method for remote sensing of daily evapotranspiration , 1995 .

[48]  Larry Mahrt,et al.  The bulk aerodynamic formulation over heterogeneous surfaces , 1996 .

[49]  R. Barthelmie,et al.  Comparison of surface meteorological measurements in TRACT database 4 , 1996 .

[50]  Wim G.M. Bastiaanssen,et al.  Diagnosis of regional evaporation by remote sensing to support irrigation performance assessment , 1996 .

[51]  J. I. MacPherson,et al.  Formulation of surface heat flux: Application to BOREAS , 1997 .

[52]  Norbert Kalthoff,et al.  Temporal evolution and spatial variation of the boundary layer over complex terrain , 1998 .

[53]  N. Jensen,et al.  Fluxes of ozone and nitrogen dioxide measured by Eddt correlation over a harvested wheat field , 1998 .

[54]  F. Fiedler,et al.  Analysis of ground based operational network data acquired during the September 1992 tract campaign , 1998 .

[55]  B. Vogel,et al.  Aspects of the convective boundary layer structure over complex terrain , 1998 .