Special Issue "Measuring, Simulating and Modeling Precipitation Using Remote Sensing"

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".

Deadline for manuscript submissions: 31 May 2023 | Viewed by 152

Special Issue Editors

Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng 475001, China
Interests: spatial downscaling; uncertainty analysis; data fusion; hydrological application; machine learning
College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
Interests: application of remote sensing in hydrology; application of remote sensing in ecological environment; machine learning; climate change

Special Issue Information

Dear Colleagues,

Precipitation is a vital part of the water cycle, and plays a critical role in global surface energy exchange and material circulation. The emergence of remote sensing technology, especially satellite observation, provides a potentially effective solution to achieve global or quasi-global precipitation observations. However, the quality of remote sensing precipitation data depends on the sensor, sampling rate, retrieval scheme, and characterization of cloud physical properties, which will further affect its subsequent application efficiency. Therefore, it is of great significance to explore the uncertainty of remote sensing precipitation data itself and its application, improve data quality through data fusion, and expand the breadth and depth in applications.

The purpose of this Special Issue is to gather the latest, high-quality research on the remote sensing of precipitation from a broad perspective, so as to inform on the current state-of-the-art, lessons learned, and experiences gained in the field, and to identify the key groups working on precipitation internationally. Apart from regular papers, regional studies of precipitation, short papers and discussions papers are welcomed. If in doubt about the suitability of the research for the Special Issue, potential authors are invited to discuss the idea with the Guest Editor before preparing the paper.

Dr. Fengrui Chen
Dr. Yanping Cao
Guest Editors

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 2000 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.


  • spatial downscaling
  • uncertainties in measuring precipitation using remote sensing
  • data fusion
  • hydrological applications
  • applications (climate, ecology, environment, agriculture, hazards, etc.)
  • uncertainties in remote sensing precipitation applications

Published Papers

This special issue is now open for submission.
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