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Title: A new retrieval for cloud liquid water path using a ground-based microwave radiometer and measurements of cloud temperature.

Abstract

A new method to retrieve cloud liquid water path using 23.8 and 31.4 GHz microwave radiometer brightness temperature measurements is developed. This method does not depend on climatological estimates of either the mean radiating temperature of the atmosphere T{sub mr} or the mean cloud liquid water temperature T{sub cloud}. Rather, T{sub mr} is estimated from surface temperature and relative humidity measurements, while T{sub cloud} is estimated using millimeter-wave cloud radar data, together with atmospheric temperature profiles obtained from either radiosonde or rapid update cycle (RUC) model output. Simulations demonstrate that the new retrieval method significantly reduces the biases in the liquid water path estimates that are apparent in a site-specific retrieval based on monthly stratified, local climatology. An analysis of the liquid water path estimates produced by the two retrievals over four case study days illustrates trends and retrieval performances consistent with the model simulations.

Authors:
; ; ; ;
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
942962
Report Number(s):
ANL/ER/JA-36289
Journal ID: ISSN 0148-0227; JGREA2; TRN: US201002%%417
DOE Contract Number:  
DE-AC02-06CH11357
Resource Type:
Journal Article
Journal Name:
J. Geophys. Res.
Additional Journal Information:
Journal Volume: 106; Journal Issue: D13 ; Jul. 16, 2001; Journal ID: ISSN 0148-0227
Country of Publication:
United States
Language:
ENGLISH
Subject:
54 ENVIRONMENTAL SCIENCES; AMBIENT TEMPERATURE; BRIGHTNESS; CLOUDS; HUMIDITY; RADIOMETERS; TEMPERATURE MEASUREMENT; WATER; MICROWAVE EQUIPMENT; SIMULATION

Citation Formats

Liljegren, J C, Clothiaux, E E, Mace, G G, Kato, S, Dong, X, Environmental Research, Pennsylvania State Univ., Univ. of Utah, and Hampton Univ.. A new retrieval for cloud liquid water path using a ground-based microwave radiometer and measurements of cloud temperature.. United States: N. p., 2001. Web. doi:10.1029/2000JD900817.
Liljegren, J C, Clothiaux, E E, Mace, G G, Kato, S, Dong, X, Environmental Research, Pennsylvania State Univ., Univ. of Utah, & Hampton Univ.. A new retrieval for cloud liquid water path using a ground-based microwave radiometer and measurements of cloud temperature.. United States. https://doi.org/10.1029/2000JD900817
Liljegren, J C, Clothiaux, E E, Mace, G G, Kato, S, Dong, X, Environmental Research, Pennsylvania State Univ., Univ. of Utah, and Hampton Univ.. Mon . "A new retrieval for cloud liquid water path using a ground-based microwave radiometer and measurements of cloud temperature.". United States. https://doi.org/10.1029/2000JD900817.
@article{osti_942962,
title = {A new retrieval for cloud liquid water path using a ground-based microwave radiometer and measurements of cloud temperature.},
author = {Liljegren, J C and Clothiaux, E E and Mace, G G and Kato, S and Dong, X and Environmental Research and Pennsylvania State Univ. and Univ. of Utah and Hampton Univ.},
abstractNote = {A new method to retrieve cloud liquid water path using 23.8 and 31.4 GHz microwave radiometer brightness temperature measurements is developed. This method does not depend on climatological estimates of either the mean radiating temperature of the atmosphere T{sub mr} or the mean cloud liquid water temperature T{sub cloud}. Rather, T{sub mr} is estimated from surface temperature and relative humidity measurements, while T{sub cloud} is estimated using millimeter-wave cloud radar data, together with atmospheric temperature profiles obtained from either radiosonde or rapid update cycle (RUC) model output. Simulations demonstrate that the new retrieval method significantly reduces the biases in the liquid water path estimates that are apparent in a site-specific retrieval based on monthly stratified, local climatology. An analysis of the liquid water path estimates produced by the two retrievals over four case study days illustrates trends and retrieval performances consistent with the model simulations.},
doi = {10.1029/2000JD900817},
url = {https://www.osti.gov/biblio/942962}, journal = {J. Geophys. Res.},
issn = {0148-0227},
number = D13 ; Jul. 16, 2001,
volume = 106,
place = {United States},
year = {2001},
month = {7}
}