NDLI: Error estimates of spaceborne passive microwave retrievals of cloud liquid water over land

Content Provider	IEEE Xplore Digital Library
Author	Greenwald, T.J. Combs, C.L. Jones, A.S. Randel, D.L. Vonder Haar, T.H.
Copyright Year	1980
Abstract	Cloud liquid water path (LWP) retrievals from the Special Sensor Microwave/Imager (SSM/I) and surface microwave radiometers are compared over land to assess the errors in selected satellite methods. These techniques require surface emissivity composites created from SSM/I and infrared (IR) data. Two different physical methods are tested: a single-channel (SC) approach (either 85.5-GHz channel); and a normalized polarization difference (NPD) approach (37 or 85.5 GHz). Comparisons were made at four sites in Oklahoma and Kansas over an 11-month period. The 85.5-GHz NPD method was the most accurate and robust under most conditions. An error analysis shows that the method's random errors are dominated by uncertainties in the surface emissivity and instrument noise. Since the SC method is more prone to systematic errors (such as surface emissivity errors caused by rain events), it initially compared poorly to the ground observations. After filtering for rain events, the comparisons improved. Overall, the root mean square (rms) errors ranged from 0.12 to 0.14 kg m/sup -2/, suggesting these methods can provide, at best, three categories of cloud LWP. It is anticipated that the techniques and strategies developed in this study, and prior related studies, to analyze passive microwave data will be requisite for maximizing the information content of future instruments.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	796
Ending Page	804
Page Count	9
File Size	150610
File Format	PDF
ISSN	01962892
Volume Number	37
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Clouds Microwave theory and techniques Instruments Rain Image retrieval Image sensors Microwave sensors Land surface Radiometers Satellite broadcasting
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

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