A Cooperative Atmosphere–Surface Exchange Study (CASES) Dataset for Analyzing and Parameterizing the Effects of Land Surface Heterogeneity on Area-Averaged Surface Heat Fluxes

David N. Yates National Center for Atmospheric Research, Boulder, Colorado and Department of Civil Engineering, University of Colorado, Boulder, Colorado

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Fei Chen National Center for Atmospheric Research, Boulder, Colorado

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Margaret A. LeMone National Center for Atmospheric Research, Boulder, Colorado

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Russell Qualls Department of Civil Engineering, University of Colorado, Boulder, Colorado and Department of Biological and Agricultural Engineering, University of Idaho, Moscow, Idaho

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Steven P. Oncley National Center for Atmospheric Research, Boulder, Colorado

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Robert L. Grossman Program in Atmospheric and Oceanic Science, University of Colorado, Boulder, Colorado

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Edward A. Brandes National Center for Atmospheric Research, Boulder, Colorado

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Abstract

A multiscale dataset that includes atmospheric, surface, and subsurface observations obtained from an observation network covering a region that has a scale order comparable to mesoscale and general circulation models is described and analyzed. The dataset is half-hourly time series of forcing and flux response data developed from the one-month Cooperative Atmosphere–Surface Exchange Study (CASES-97) experiment, located in the Walnut Watershed near Wichita, Kansas. The horizontal complexity of this dataset was analyzed by looking at the sensible and latent heat flux response of station data from the three main land surface types of winter wheat, grass/pastureland, and bare soil/sparse vegetation. The variability in the heat flux response at and among the different sites points to the need for a spatially distributed, time-varying atmospheric-forcing dataset for use in land surface modeling experiments. Such a dataset at horizontal spacings of 1, 5, and 10 km was developed from the station data and other remotely sensed platforms, and its spatial heterogeneity was analyzed.

Corresponding author address: David N. Yates, NCAR/RAP, P.O. Box 3000, Boulder, CO 80307-3000.

yates@ucar.edu

Abstract

A multiscale dataset that includes atmospheric, surface, and subsurface observations obtained from an observation network covering a region that has a scale order comparable to mesoscale and general circulation models is described and analyzed. The dataset is half-hourly time series of forcing and flux response data developed from the one-month Cooperative Atmosphere–Surface Exchange Study (CASES-97) experiment, located in the Walnut Watershed near Wichita, Kansas. The horizontal complexity of this dataset was analyzed by looking at the sensible and latent heat flux response of station data from the three main land surface types of winter wheat, grass/pastureland, and bare soil/sparse vegetation. The variability in the heat flux response at and among the different sites points to the need for a spatially distributed, time-varying atmospheric-forcing dataset for use in land surface modeling experiments. Such a dataset at horizontal spacings of 1, 5, and 10 km was developed from the station data and other remotely sensed platforms, and its spatial heterogeneity was analyzed.

Corresponding author address: David N. Yates, NCAR/RAP, P.O. Box 3000, Boulder, CO 80307-3000.

yates@ucar.edu

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