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Titel |
Implementation of aerosol assimilation in Gridpoint Statistical Interpolation (v. 3.2) and WRF-Chem (v. 3.4.1) |
VerfasserIn |
M. Pagowski, Z. Liu, G. A. Grell, M. Hu, H.-C. Lin, C. S. Schwartz |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1991-959X
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Digitales Dokument |
URL |
Erschienen |
In: Geoscientific Model Development ; 7, no. 4 ; Nr. 7, no. 4 (2014-08-13), S.1621-1627 |
Datensatznummer |
250115674
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Publikation (Nr.) |
copernicus.org/gmd-7-1621-2014.pdf |
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Zusammenfassung |
Gridpoint Statistical Interpolation (GSI) is an assimilation tool that is
used at the National Centers for Environmental Prediction (NCEP) in
operational weather forecasting in the USA. In this article, we describe
implementation of an extension to the GSI for assimilating surface
measurements of PM2.5, PM10, and MODIS aerosol optical depth at
550 nm with WRF-Chem (Weather Research and Forecasting model coupled with Chemistry). We also present illustrative results. In the past, the
aerosol assimilation system has been employed to issue daily PM2.5
forecasts at NOAA/ESRL (Earth System Research Laboratory) and, we believe, it is well tested and mature enough
to be made available for wider use. We provide a package that, in addition to
augmented GSI, consists of software for calculating background error
covariance statistics and for converting in situ and satellite data to BUFR (Binary
Universal Form for the Representation of meteorological data)
format, and sample input files for an assimilation exercise. Thanks to
flexibility in the GSI and coupled meteorology–chemistry of WRF-Chem,
assimilating aerosol observations can be carried out simultaneously with
meteorological data assimilation. Both GSI and WRF-Chem are well documented
with user guides available online. This article is primarily intended to be a
technical note on the implementation of the aerosol assimilation. Its purpose
is also to provide guidance for prospective users of the computer code.
Scientific aspects of aerosol assimilation are also briefly discussed. |
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