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Title: New Technique for Retrieving Liquid Water Path over Land using Satellite Microwave Observations

Abstract

We present a new methodology for retrieving liquid water path over land using satellite microwave observations. As input, the technique exploits the Advanced Microwave Scanning Radiometer for earth observing plan (EOS) (AMSR-E) polarization-difference signals at 37 and 89 GHz. Regression analysis performed on model simulations indicates that over variable atmospheric and surface conditions the polarization-difference signals can be simply parameterized in terms of the surface emissivity polarization difference ({Delta}{var_epsilon}), surface temperature, liquid water path (LWP), and precipitable water vapor (PWV). The resulting polarization-difference parameterization (PDP) enables fast and direct (noniterative) retrievals of LWP with minimal requirements for ancillary data. Single- and dual-channel retrieval methods are described and demonstrated. Data gridding is used to reduce the effects of instrumental noise. The methodology is demonstrated using AMSR-E observations over the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site during a six day period in November and December, 2003. Single- and dual-channel retrieval results mostly agree with ground-based microwave retrievals of LWP to within approximately 0.04 mm.

Authors:
;
Publication Date:
Research Org.:
Research Applications Library, National Center for Atmospheric Research Boulder, Colorado (US)
Sponsoring Org.:
Sponsor not identified (US)
OSTI Identifier:
841634
Resource Type:
Conference
Resource Relation:
Conference: Fifteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting, Daytona Beach, FL (US), 03/14/2005--03/18/2005; Other Information: PBD: 18 Mar 2005
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; EMISSIVITY; POLARIZATION; RADIATIONS; RADIOMETERS; REGRESSION ANALYSIS; SATELLITES; USA; WATER; WATER VAPOR; SATELLITE OBSERVATIONS; CLOUDS; PROPERTIES

Citation Formats

Deeter, M N, and Vivekanandan, J. New Technique for Retrieving Liquid Water Path over Land using Satellite Microwave Observations. United States: N. p., 2005. Web.
Deeter, M N, & Vivekanandan, J. New Technique for Retrieving Liquid Water Path over Land using Satellite Microwave Observations. United States.
Deeter, M N, and Vivekanandan, J. 2005. "New Technique for Retrieving Liquid Water Path over Land using Satellite Microwave Observations". United States. https://www.osti.gov/servlets/purl/841634.
@article{osti_841634,
title = {New Technique for Retrieving Liquid Water Path over Land using Satellite Microwave Observations},
author = {Deeter, M N and Vivekanandan, J},
abstractNote = {We present a new methodology for retrieving liquid water path over land using satellite microwave observations. As input, the technique exploits the Advanced Microwave Scanning Radiometer for earth observing plan (EOS) (AMSR-E) polarization-difference signals at 37 and 89 GHz. Regression analysis performed on model simulations indicates that over variable atmospheric and surface conditions the polarization-difference signals can be simply parameterized in terms of the surface emissivity polarization difference ({Delta}{var_epsilon}), surface temperature, liquid water path (LWP), and precipitable water vapor (PWV). The resulting polarization-difference parameterization (PDP) enables fast and direct (noniterative) retrievals of LWP with minimal requirements for ancillary data. Single- and dual-channel retrieval methods are described and demonstrated. Data gridding is used to reduce the effects of instrumental noise. The methodology is demonstrated using AMSR-E observations over the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site during a six day period in November and December, 2003. Single- and dual-channel retrieval results mostly agree with ground-based microwave retrievals of LWP to within approximately 0.04 mm.},
doi = {},
url = {https://www.osti.gov/biblio/841634}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Mar 18 00:00:00 EST 2005},
month = {Fri Mar 18 00:00:00 EST 2005}
}

Conference:
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