First-order 4-D data assimilation in a distributed model of surface temperature and energy fluxes

Author

Washburne, J.

Author_Institution

Dept. of Hydrology & Water Resources, Arizona Univ., Tucson, AZ

Volume

1

fYear

1994

fDate

8-12 Aug 1994

Abstract

Reviews a first-order four-dimensional (4D) data assimilation exercise carried out as part of an investigation into the spatial scaling of surface temperature and energy fluxes in a semi-arid watershed, the upper San Pedro (~7600 km²), in SE Arizona. Realistic estimates of several spatial and temporal data sets were required prior to calculating surface fluxes. The choice of these parameters presents several challenges related to: typical model assumptions, scarcity of data, spatial resolution and model validation. Some of these problems, and ways to address them, are described

Keywords

atmospheric boundary layer; atmospheric humidity; atmospheric temperature; hydrology; meteorology; soil; terrestrial heat; Arizona; San Pedro; USA United States; atmosphere meteorology; boundary layer; desert; distributed model; energy flux; first order 4D data assimilation; four dimensional data assimilation; geothermal; land surface; semi-arid watershed; spatial scaling; surface flux; surface temperature; terrestrial heat; Atmospheric modeling; Data assimilation; Humidity; Meteorology; Reflectivity; Satellite broadcasting; Soil moisture; Surface topography; Temperature sensors; Vegetation mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International

Conference_Location

Pasadena, CA

Print_ISBN

0-7803-1497-2

Type

conf

DOI

10.1109/IGARSS.1994.399059

Filename

399059