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Proceedings Paper

Validation of the TUV module in CWRF using USDA-UVB network observations
Author(s): Min Xu; Xin-Zhong Liang; Wei Gao; James Slusser; Kenneth Kunkel
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Paper Abstract

Ultraviolet (UV) radiation is the source energy for tropospheric photolysis processes, while harmful for living organism of the earth. It is thus necessary to incorporate UV radiation for an integrated earth modeling system to predict interactions between climate, chemistry and ecosystem processed. The widely-used NCAR TUV (Tropospheric Ultraviolet and Visible) radiation model has been coupled with the state-of-the-art mesoscale CWRF (Climate extension of the Weather Research and Forecasting model) to predict the UV dependence of local climate conditions and its impacts on air quality and crop growth. The original TUV v4.2 has been significantly improved by (1) replacing the core radiation transfer solver, DISORT v1.1 with the latest v2.0beta; (2) adding a new aerosol scheme based on the Shettle (1989); (3) recoding the entire model to follow the CWRF F90 standard with dynamic memory allocation and modular design; and (4) developing a flexible interface for coupling with CWRF. Given the lack of detailed cloud information in observations, this study focuses on validation of the TUV module in a standalone mode against the USDA UV-B data under clear-sky conditions. To facilitate this, a cloud detection scheme based on Long and Ackerman (2000) is incorporated to distinguish clear versus cloudy sky conditions from the UV-B observations. The model input includes in situ measurements of the column ozone and total aerosol optical depth; TOMS retrievals of the column ozone (in case missing in situ) and climatologically surface reflectivity; and the NARR (North American Regional Analysis) meteorological conditions. The TUV results agree well with the UV-B measurements at 7 narrow spectral bands (300, 305, 311, 317, 325, 332, 368 nm).

Paper Details

Date Published: 27 September 2006
PDF: 8 pages
Proc. SPIE 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III, 62980N (27 September 2006); doi: 10.1117/12.680122
Show Author Affiliations
Min Xu, Univ. of Illinois at Urbana-Champaign (United States)
Xin-Zhong Liang, Univ. of Illinois at Urbana-Champaign (United States)
Wei Gao, Colorado State Univ. (United States)
James Slusser, Colorado State Univ. (United States)
Kenneth Kunkel, Univ. of Illinois at Urbana-Champaign (United States)

Published in SPIE Proceedings Vol. 6298:
Remote Sensing and Modeling of Ecosystems for Sustainability III
Wei Gao; Susan L. Ustin, Editor(s)

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