World Library  

Add to Book Shelf
Flag as Inappropriate
Email this Book

Cloud Overlapping Detection Algorithm Using Solar and Ir Wavelengths with Gose Data Over Arm/Sgp Site

By Kawamoto, Kazuaki

Click here to view

Book Id: WPLBN0004298641
Format Type: PDF eBook :
File Size:
Reproduction Date: 2001-03-13

Title: Cloud Overlapping Detection Algorithm Using Solar and Ir Wavelengths with Gose Data Over Arm/Sgp Site  
Author: Kawamoto, Kazuaki
Volume: Report-Number: AIAA Paper 2001-1335
Language: English
Subject: Composite Structures, Scaling Laws, Nonlinearity
Collections: Government Library Collection
Publication Date:


APA MLA Chicago

L., J, S. W. (2001). Cloud Overlapping Detection Algorithm Using Solar and Ir Wavelengths with Gose Data Over Arm/Sgp Site. Retrieved from

Description: One of the most perplexing problems in satellite cloud remote sensing is the overlapping of cloud layers. Although most techniques assume a 1-layer cloud system in a given retrieval of cloud properties, many observations are affected by radiation from more than one cloud layer. As such, cloud overlap can cause errors in the retrieval of many properties including cloud height, optical depth, phase, and particle size. A variety of methods have been developed to identify overlapped clouds in a given satellite imager pixel. Baum el al. (1995) used CO2 slicing and a spatial coherence method to demonstrate a possible analysis method for nighttime detection of multilayered clouds. Jin and Rossow (1997) also used a multispectral CO2 slicing technique for a global analysis of overlapped cloud amount. Lin et al. (1999) used a combination infrared, visible, and microwave data to detect overlapped clouds over water. Recently, Baum and Spinhirne (2000) proposed 1.6 and 11 microns. bispectral threshold method. While all of these methods have made progress in solving this stubborn problem, none have yet proven satisfactory for continuous and consistent monitoring of multilayer cloud systems. It is clear that detection of overlapping clouds from passive instruments such as satellite radiometers is in an immature stage of development and requires additional research. Overlapped cloud systems also affect the retrievals of cloud properties over the ARM domains (e.g., Minnis et al 1998) and hence should identified as accurately as possible. To reach this goal, it is necessary to determine which information can be exploited for detecting multilayered clouds from operational meteorological satellite data used by ARM. This paper examines the potential information available in spectral data available on the Geostationary Operational Environmental Satellite (GOES) imager and the NOAA Advanced Very High Resolution Radiometer (AVHRR) used over the ARM SGP and NSA sites to study the capability of detecting overlapping clouds; CASI; Nasa Publication Center: Langley Research Center; Unclassified; Copyright (Distribution as joint owner in the copyright) ; Unlimited; Publicly available;; Report-Number: AIAA Paper 2001-1335


Copyright © World Library Foundation. All rights reserved. eBooks from World eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.