DocumentCode
1484858
Title
Error estimates of spaceborne passive microwave retrievals of cloud liquid water over land
Author
Greenwald, Thomas J. ; Combs, Cynthia L. ; Jones, Andrew S. ; Randel, David L. ; Vonder Haar, Thomas H.
Author_Institution
Cooperative Inst. for Res. in the Atmos., Colorado State Univ., Fort Collins, CO, USA
Volume
37
Issue
2
fYear
1999
fDate
3/1/1999 12:00:00 AM
Firstpage
796
Lastpage
804
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-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
Keywords
atmospheric techniques; clouds; radiometry; remote sensing; 37 GHz; 85.5 GHz; SSM/I; atmosphere; cloud; error estimate; liquid water; measurement technique; microwave radiometry; remote sensing; satellite method; spaceborne passive microwave retrieval; Clouds; Image retrieval; Image sensors; Instruments; Land surface; Microwave sensors; Microwave theory and techniques; Radiometers; Rain; Satellite broadcasting;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.752195
Filename
752195
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