A multi-parameter land data set for regional modeling

Author

Thames, Paul ; Maslanik, James ; Oleson, Keith ; Emery, William

Author_Institution

Colorado Univ., Boulder, CO, USA

Volume

1

fYear

1996

fDate

27-31 May 1996

Firstpage

192

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. The authors 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

Keywords

atmospheric boundary layer; atmospheric movements; atmospheric techniques; climatology; geophysical techniques; meteorology; remote sensing; GCM; algorithm; atmosphere; boundary layer; climate modelling; data assimilation; data processing; general circulation model; interannual variability; land surface conditions; land surface parameterization; meteorology; multiparameter land data set; regional modeling; remote sensing data set; season; simulation; terrain mapping; Assembly; Atmosphere; Atmospheric modeling; Data processing; Earth Observing System; Land surface; Remote sensing; Satellites; Surface treatment; Virtual prototyping;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International

Conference_Location

Lincoln, NE

Print_ISBN

0-7803-3068-4

Type

conf

DOI

10.1109/IGARSS.1996.516288

Filename

516288