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Title: Microwave Passive Ground-Based Retrievals of Cloud and Rain Liquid Water Path in Drizzling Clouds: Challenges and Possibilities

Abstract

Satellite and ground-based microwave radiometers are routinely used for the retrieval of liquid water path (LWP) under all atmospheric conditions. The retrieval of water vapor and LWP from ground-based radiometers during rain has proved to be a difficult challenge for two principal reasons: the inadequacy of the nonscattering approximation in precipitating clouds and the deposition of rain drops on the instrument's radome. In this paper, we combine model computations and real ground-based, zenith-viewing passive microwave radiometer brightness temperature measurements to investigate how total, cloud, and rain LWP retrievals are affected by assumptions on the cloud drop size distribution (DSD) and under which conditions a nonscattering approximation can be considered reasonably accurate. Results show that until the drop effective diameter is larger than similar to 200 mu m, a nonscattering approximation yields results that are still accurate at frequencies less than 90 GHz. For larger drop sizes, it is shown that higher microwave frequencies contain useful information that can be used to separate cloud and rain LWP provided that the vertical distribution of hydrometeors, as well as the DSD, is reasonably known. The choice of the DSD parameters becomes important to ensure retrievals that are consistent with the measurements. A physicalmore » retrieval is tested on a synthetic data set and is then used to retrieve total, cloud, and rain LWP from radiometric measurements during two drizzling cases at the atmospheric radiation measurement Eastern North Atlantic site.« less

Authors:
ORCiD logo [1];  [2];  [3];  [4]; ORCiD logo [5]
  1. Argonne National Lab. (ANL), Argonne, IL (United States)
  2. Univ. of Washington, Seattle, WA (United States)
  3. Radiometer-Physics GmbH, Meckenheim (Germany)
  4. National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States)
  5. Univ. of Cologne (Germany)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1427489
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Geoscience and Remote Sensing
Additional Journal Information:
Journal Volume: 55; Journal Issue: 11; Journal ID: ISSN 0196-2892
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Microwave remote sensing; liquid water path retrieval; precipitation retrieval

Citation Formats

Cadeddu, Maria P., Marchand, Roger, Orlandi, Emiliano, Turner, David D., and Mech, Mario. Microwave Passive Ground-Based Retrievals of Cloud and Rain Liquid Water Path in Drizzling Clouds: Challenges and Possibilities. United States: N. p., 2017. Web. doi:10.1109/TGRS.2017.2728699.
Cadeddu, Maria P., Marchand, Roger, Orlandi, Emiliano, Turner, David D., & Mech, Mario. Microwave Passive Ground-Based Retrievals of Cloud and Rain Liquid Water Path in Drizzling Clouds: Challenges and Possibilities. United States. https://doi.org/10.1109/TGRS.2017.2728699
Cadeddu, Maria P., Marchand, Roger, Orlandi, Emiliano, Turner, David D., and Mech, Mario. Fri . "Microwave Passive Ground-Based Retrievals of Cloud and Rain Liquid Water Path in Drizzling Clouds: Challenges and Possibilities". United States. https://doi.org/10.1109/TGRS.2017.2728699. https://www.osti.gov/servlets/purl/1427489.
@article{osti_1427489,
title = {Microwave Passive Ground-Based Retrievals of Cloud and Rain Liquid Water Path in Drizzling Clouds: Challenges and Possibilities},
author = {Cadeddu, Maria P. and Marchand, Roger and Orlandi, Emiliano and Turner, David D. and Mech, Mario},
abstractNote = {Satellite and ground-based microwave radiometers are routinely used for the retrieval of liquid water path (LWP) under all atmospheric conditions. The retrieval of water vapor and LWP from ground-based radiometers during rain has proved to be a difficult challenge for two principal reasons: the inadequacy of the nonscattering approximation in precipitating clouds and the deposition of rain drops on the instrument's radome. In this paper, we combine model computations and real ground-based, zenith-viewing passive microwave radiometer brightness temperature measurements to investigate how total, cloud, and rain LWP retrievals are affected by assumptions on the cloud drop size distribution (DSD) and under which conditions a nonscattering approximation can be considered reasonably accurate. Results show that until the drop effective diameter is larger than similar to 200 mu m, a nonscattering approximation yields results that are still accurate at frequencies less than 90 GHz. For larger drop sizes, it is shown that higher microwave frequencies contain useful information that can be used to separate cloud and rain LWP provided that the vertical distribution of hydrometeors, as well as the DSD, is reasonably known. The choice of the DSD parameters becomes important to ensure retrievals that are consistent with the measurements. A physical retrieval is tested on a synthetic data set and is then used to retrieve total, cloud, and rain LWP from radiometric measurements during two drizzling cases at the atmospheric radiation measurement Eastern North Atlantic site.},
doi = {10.1109/TGRS.2017.2728699},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
number = 11,
volume = 55,
place = {United States},
year = {Fri Aug 11 00:00:00 EDT 2017},
month = {Fri Aug 11 00:00:00 EDT 2017}
}

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Works referencing / citing this record:

Investigating the liquid water path over the tropical Atlantic with synergistic airborne measurements
journal, January 2019

  • Jacob, Marek; Ament, Felix; Gutleben, Manuel
  • Atmospheric Measurement Techniques, Vol. 12, Issue 6
  • DOI: 10.5194/amt-12-3237-2019

Estimation of liquid water path below the melting layer in stratiform precipitation systems using radar measurements during MC3E
journal, January 2019

  • Tian, Jingjing; Dong, Xiquan; Xi, Baike
  • Atmospheric Measurement Techniques, Vol. 12, Issue 7
  • DOI: 10.5194/amt-12-3743-2019