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

Research output: Contribution to conferencePaper

Abstract

This poster reviews a first-order four-dimensional (4-d) 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.

Original languageEnglish (US)
Number of pages1
StatePublished - Dec 1 1994
EventProceedings of the 1994 International Geoscience and Remote Sensing Symposium. Vol 4 (of 4) - Pasadena, CA, USA
Duration: Aug 8 1994Aug 12 1994

Other

OtherProceedings of the 1994 International Geoscience and Remote Sensing Symposium. Vol 4 (of 4)
CityPasadena, CA, USA
Period8/8/948/12/94

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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  • Cite this

    Washburne, J. (1994). First-order 4-D data assimilation in a distributed model of surface temperature and energy fluxes. Paper presented at Proceedings of the 1994 International Geoscience and Remote Sensing Symposium. Vol 4 (of 4), Pasadena, CA, USA, .