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| Titel |
Multi-sensor cloud retrieval simulator and remote sensing from model parameters – Part 1: Synthetic sensor radiance formulation |
| VerfasserIn |
G. Wind, A. M. Silva, P. M. Norris, S. Platnick |
| 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 ; 6, no. 6 ; Nr. 6, no. 6 (2013-11-26), S.2049-2062 |
| Datensatznummer |
250085020
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| Publikation (Nr.) |
 copernicus.org/gmd-6-2049-2013.pdf |
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| Zusammenfassung |
| In this paper we describe a general procedure for calculating synthetic
sensor radiances from variable output from a global atmospheric forecast
model. In order to take proper account of the discrepancies between model
resolution and sensor footprint, the algorithm takes explicit account of the
model subgrid variability, in particular its description of the probability
density function of total water (vapor and cloud condensate.) The simulated
sensor radiances are then substituted into an operational remote sensing
algorithm processing chain to produce a variety of remote sensing products
that would normally be produced from actual sensor output. This output can
then be used for a wide variety of purposes such as model parameter
verification, remote sensing algorithm validation, testing of new retrieval
methods and future sensor studies. We show a specific implementation using
the GEOS-5 model, the MODIS instrument and the MODIS Adaptive Processing
System (MODAPS) Data Collection 5.1 operational remote sensing cloud
algorithm processing chain (including the cloud mask, cloud top properties
and cloud optical and microphysical properties products). We focus on clouds
because they are very important to model development and improvement. |
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