Advancements in Passive/Active Remote Sensing of Clouds and Precipitation
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: 30 December 2024 | Viewed by 19
Special Issue Editors
Interests: remote sensing; data assimilation
Special Issue Information
Dear Colleagues,
The global water cycle is crucial to life on Earth and is a complex system that contains many different processes affecting weather and climate. This cycle consists of evaporation, condensation, precipitation, and the terrestrial ecosystem. Since clouds and precipitation are interconnected and fundamental components of the global water cycle, measurements of these components are necessary to understand the complete cycle. Moreover, clouds are radiatively important in the atmosphere while precipitation plays an important role in energy transfer in the atmospheric circulation. However, more accurate and longer-term observations of clouds and precipitation are needed to improve weather forecasts and climate projections. There is currently a wide range of remote sensing methods for clouds and precipitation, including ground-based, airborne, and satellite measurements, active and passive measurements, and observed wavelengths from the visible and infrared to the microwave. However, satellite remote sensing is the only practical means of acquiring long-term widespread observations of clouds and precipitation. With the advancement of remote sensing methods, especially those that combine passive and active sensors (on the same platforms or on different platforms such as satellites, airborne, and ground based), there will be a greater opportunity to provide more accurate and additional cloud/precipitation properties that will benefit weather and climate studies. Inter-comparison between different measurements (on different platforms or between different instruments) would be a crucial part of the synergistic approach.
This Special Issue is focused on recent developments in the remote sensing of clouds and precipitation, in particular those methods that combine passive and active sensors.
We invite papers that cover, but are not limited to, the following areas:
Remote sensing of clouds:
- Cloud amounts and phase;
- Vertical profiles of clouds;
- Microphysical properties such as particle number concentration and size.
Remote sensing of precipitation:
- Liquid and solid precipitation;
- Precipitation rate and other properties like polarization.
Dr. Yong-Keun Lee
Dr. Thomas Greenwald
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at mdpi.longhoe.net 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. Remote Sensing is an international peer-reviewed open access semimonthly 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 2700 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
- active remote sensing
- ground-based remote sensing
- satellite remote sensing
- airborne remote sensing
