Multi-parameter land data set for regional modeling

Research output: AbstractPaperpeer-review

Abstract

Regional climate simulations can benefit from data sets that depict seasonal and inter-annual variability of surface conditions at relatively fine spatial resolution. Remotely-sensed data can provide such information. However, a variety of data processing and algorithmic issues become apparent when attempting to link satellite products with modeling. Here, we review the assembly of existing remotely-sensed products to support a regional climate modeling experiment, and summarize lessons learned regarding applicability of existing land products to modeling applications.

Original languageEnglish
Pages192-194
Number of pages3
StatePublished - 1996
EventProceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4) - Lincoln, NE, USA
Duration: May 28 1996May 31 1996

Conference

ConferenceProceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4)
CityLincoln, NE, USA
Period05/28/9605/31/96

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