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Equivalent Sensor Radiance Generation and Remote Sensing from Model Parameters – Part 1: Equivalent Sensor Radiance Formulation : Volume 6, Issue 3 (26/07/2013)

By Wind, G.

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Book Id: WPLBN0004009515
Format Type: PDF Article :
File Size: Pages 32
Reproduction Date: 2015

Title: Equivalent Sensor Radiance Generation and Remote Sensing from Model Parameters – Part 1: Equivalent Sensor Radiance Formulation : Volume 6, Issue 3 (26/07/2013)  
Author: Wind, G.
Volume: Vol. 6, Issue 3
Language: English
Subject: Science, Geoscientific, Model
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2013
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Da Silva, A. M., Platnick, S., Norris, P. M., & Wind, G. (2013). Equivalent Sensor Radiance Generation and Remote Sensing from Model Parameters – Part 1: Equivalent Sensor Radiance Formulation : Volume 6, Issue 3 (26/07/2013). Retrieved from http://www.hawaiilibrary.com/


Description
Description: NASA Goddard Space Flight Center, 8800 Greenbelt Rd. Greenbelt, Maryland, 20771, USA. In this paper we describe a general procedure for calculating equivalent sensor radiances from variables 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 equivalent 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 and cloud/aerosol interactions, because they are very important to model development and improvement.

Summary
Equivalent sensor radiance generation and remote sensing from model parameters – Part 1: Equivalent sensor radiance formulation

Excerpt
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