Cloud and Precipitation Remote Sensing

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".

Deadline for manuscript submissions: closed (30 April 2020) | Viewed by 3489

Special Issue Editor

Institute of Methodologies for Environmental Analysis, CNR, Potenza, Italy
Interests: remote sensing; clouds; precipitation; WRF model

Special Issue Information

Dear Colleagues,

Clouds and precipitation are fundamental to most aspects of human life: the former affect the planet's energy balance, while the latter is essential for delivering and sustaining supplies of freshwater. However, when heavy rainfall occurs, numerous hazards can also occur, such as flooding and landslides. For these reasons, remote sensing of clouds and precipitation is a hot topic in the area of atmospheric remote sensing. Over the last few years, optical, thermal infrared, and microwave remote sensing have achieved great results using both ground-based and satellite instruments in the retrieval process of cloud and precipitation properties, such as size, height, depth, and microphysical parameters of clouds, as well as amount and type of precipitation. Although much progress has been achieved in the remote sensing of clouds and precipitation in recent years, many challenges still remain.

This Special Issue is expected to advance our understanding of ground-based and satellite remote sensing of clouds and precipitation. Therefore, we invite authors to submit original and review manuscripts on all aspects of this area of research.

Dr. Francesco Di Paola
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • clouds
  • precipitation
  • rainfall
  • satellite
  • radar
  • ground-based remote sensing
  • remote sensing
  • meteorology

Published Papers (1 paper)

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Research

32 pages, 5031 KiB  
Article
Combining MWL and MSG SEVIRI Satellite Signals for Rainfall Detection and Estimation
by Kingsley K. Kumah, Joost C. B. Hoedjes, Noam David, Ben H. P. Maathuis, H. Oliver Gao and Bob Z. Su
Atmosphere 2020, 11(9), 884; https://doi.org/10.3390/atmos11090884 - 19 Aug 2020
Cited by 9 | Viewed by 3239
Abstract
Accurate rainfall detection and estimation are essential for many research and operational applications. Traditional rainfall detection and estimation techniques have achieved considerable success but with limitations. Thus, in this study, the relationships between the gauge (point measurement) and the microwave links (MWL) rainfall [...] Read more.
Accurate rainfall detection and estimation are essential for many research and operational applications. Traditional rainfall detection and estimation techniques have achieved considerable success but with limitations. Thus, in this study, the relationships between the gauge (point measurement) and the microwave links (MWL) rainfall (line measurement), and the MWL to the satellite observations (area-wide measurement) are investigated for (area-wide) rainfall detection and rain rate retrieval. More precisely, we investigate if the combination of MWL with Meteosat Second Generation (MSG) satellite signals could improve rainfall detection and rainfall rate estimates. The investigated procedure includes an initial evaluation of the MWL rainfall estimates using gauge measurements, followed by a joint analysis of the rainfall estimates with the satellite signals by means of a conceptual model in which clouds with high cloud top optical thickness and large particle sizes have high rainfall probabilities and intensities. The analysis produced empirical thresholds that were used to test the capability of the MSG satellite data to detect rainfall on the MWL. The results from Kenya, during the “long rains” of 2013, 2014, and 2018 show convincing performance and reveal the potential of MWL and MSG data for area-wide rainfall detection. Full article
(This article belongs to the Special Issue Cloud and Precipitation Remote Sensing)
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