Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 3.668
IF3.668
IF 5-year value: 3.707
IF 5-year
3.707
CiteScore value: 6.3
CiteScore
6.3
SNIP value: 1.383
SNIP1.383
IPP value: 3.75
IPP3.75
SJR value: 1.525
SJR1.525
Scimago H <br class='widget-line-break'>index value: 77
Scimago H
index
77
h5-index value: 49
h5-index49
Preprints
https://doi.org/10.5194/amt-2020-311
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2020-311
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  17 Aug 2020

17 Aug 2020

Review status
This preprint is currently under review for the journal AMT.

Integrated water vapor and liquid water path retrieval using a single-channel radiometer

Anne-Claire Billault-Roux and Alexis Berne Anne-Claire Billault-Roux and Alexis Berne
  • Environmental Remote Sensing Laboratory, Swiss Federal Institute of Technology, Lausanne, Switzerland

Abstract. Microwave radiometers are widely used for the retrieval of Liquid Water Path (LWP) and Integrated Water Vapor (IWV) in the context of cloud and precipitation studies. This paper presents a new site-independent retrieval algorithm for LWP and IWV, relying on a single-frequency 89-GHz ground-based radiometer. A statistical approach is used, based on a neural network, which is trained and tested on a synthetic data set constructed from radiosonde profiles worldwide. In addition to 89-GHz brightness temperature, the input features include surface measurements of temperature, pressure and humidity, as well as geographical information and, when available, estimates of IWV and LWP from reanalysis data. An analysis of the algorithm is presented to assess its accuracy, the impact of the various input features, as well as its sensitivity to radiometer calibration and its stability across geographical locations. The new method is then implemented on real data that were collected during a field deployment in Switzerland and during the ICE-POP 2018 campaign in South Korea. The new algorithm is shown to be quite robust, especially in mid-latitude environments with a moderately moist climate, although its accuracy is inevitably lower than that obtained with state-of-the-art multi-channel radiometers.

Anne-Claire Billault-Roux and Alexis Berne

Interactive discussion

Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

Anne-Claire Billault-Roux and Alexis Berne

Anne-Claire Billault-Roux and Alexis Berne

Viewed

Total article views: 231 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
165 61 5 231 3 4
  • HTML: 165
  • PDF: 61
  • XML: 5
  • Total: 231
  • BibTeX: 3
  • EndNote: 4
Views and downloads (calculated since 17 Aug 2020)
Cumulative views and downloads (calculated since 17 Aug 2020)

Viewed (geographical distribution)

Total article views: 170 (including HTML, PDF, and XML) Thereof 168 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 22 Nov 2020
Publications Copernicus
Download
Short summary
In the context of climate studies, understanding the role of clouds on a global and local scale is of paramount importance. One aspect is the quantification of cloud liquid water, which impacts the Earth’s radiative balance. This is routinely achieved with radiometers operating at different frequencies. In this study, we propose an approach that uses a single-frequency radiometer and that can be applied at any location to retrieve vertically-integrated quantities of liquid water and water vapor.
In the context of climate studies, understanding the role of clouds on a global and local scale...
Citation