Remote Sensing for Precipitation Retrievals
A special issue of Geomatics (ISSN 2673-7418).
Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 3581
Special Issue Editors
Interests: precipitation system climatology; tropical meteorology
Special Issues, Collections and Topics in MDPI journals
Interests: satellite remote sensing; precipitation; radar
Special Issues, Collections and Topics in MDPI journals
Interests: precipitation system; water vapor climatology; GPS/GNSS meteorology
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing in hydrology; physical sciences and modeling in hydrology; weather radar hydrology; data sciences in hydrology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent extremes in precipitation are thought to be due to changes in the global environment. Many disastrous events occur due to extreme precipitation. Monitoring and prediction are essential for water disaster prevention. Precipitation data are also essential for studies of current climate change. While many countries have established excellent rain gauge or operational radar networks, many ungauged regions still exist. For the local precipitation observations, many techniques for precipitation retrievals using rain gauge or radar networks have been proposed and applied for obtaining precise rain rate or snow rate. The techniques include not only rain rate or snow rate estimates but also temporal and spatial interpolations. Covering large areas including oceans and satellite observations is essential. The satellite observations use remote sensing techniques. Here, retrieval techniques take important roles.
This Special Issue aims to provide novel techniques of precipitation retrievals and new findings so as to contribute to advancement of precipitation observation techniques. This Special Issue accepts papers related to studies on precipitation retrieval using observations by space-borne or ground-based sensors. This Special Issue also accepts papers on algorithm developments as well as observational studies, data analyses, and numerical simulations aiming to improve precipitation retrievals.
The Special Issue "Remote Sensing for Precipitation Retrievals" is jointly organized between “Remote Sensing” and “Geomatics” journals. Contributors are required to check the website below and follow the specific instructions for authors:
https://www.mdpi.com/journal/remotesensing/instructions
https://www.mdpi.com/journal/geomatics/instructions
You may choose our Joint Special Issue in Remote Sensing.
Prof. Dr. Atsushi Hamada
Prof. Dr. Kenji Nakamura
Dr. Mikiko Fujita
Dr. Jungho Kim
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. Geomatics is an international peer-reviewed open access quarterly 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 1000 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
- precipitation
- radar
- rain gauge
- microwave radiometer
- mesoscale model
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