Special Issue "Sea Surface Salinity Remote Sensing"
Deadline for manuscript submissions: closed (30 November 2018) | Viewed by 62795
A printed edition of this Special Issue is available here.
2. CEESMO, Chapman University, Orange, CA 92866, USA
Interests: radiative transfer modeling and retrieval algorithms; combined active and passive microwave remote sensing for monitoring of sea surface salinity (SSS); surface roughness; ocean and cryosphere interactions; soil moisture
2. Adjunct professor at Hohai university, Nanjing, China
Interests: remote sensing algorithms of SSS, SST, wind vector, rain rate, et al. from space; ocean surface emission modeling at microwave frequencies; validation of polarimetric radiometer data; ocean response to storms, wave-current interactions
Special Issues, Collections and Topics in MDPI journals
Sea Surface salinity (SSS) is an essential climate variable. It is a key component of the water cycle, as a tracer of precipitation and evaporation, river outflow and ice melt/freeze. It is a key driver of the oceanic circulation through its role on the ocean density. It is also a critical parameter for understanding the variability of the ocean carbon fluxes, providing information on water masses and of their chemical properties. SSS in the open ocean has been monitored from space since 2010 by the ESA's SMOS, NASA/CONAE's Aquarius/SAC-D missions, and more recently by the NASA's SMAP mission.
The purpose of this special issue is to gather contributions highlighting ongoing research related to remote sensing of sea surface salinity from spaceborne or airborne sensors, as well as combined use of satellite SSS with other observations (e.g. altimeter, SST, ...). In situ or laboratory measurements in support of improving forward models and retrieval algorithms are also welcome. Applied and theoretical research contributions concerning the multiple aspects of remote sensing of sea surface salinity will be considered.
The topics of interest include, but are not limited to:
- Improvements in empirical or theoretical radiative transfer models
- Mitigation techniques of external interference such as RFI, Sun, and land contamination
- Comparison and validation of remote sensing products with in situ observations
- Retrieval techniques for improved coastal SSS monitoring
- High latitude SSS and oceans interactions with the cryosphere
- Rain impact on SSS
- Synergistic retrieval with other variables such as ice properties, sea surface temperature, or soil moisture
- New instrument technology to enhance or expand SSS remote sensing capabilities
Dr. Emmanuel Philippe Dinnat
Dr. Xiaobin Yin
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. 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 2500 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.
- Sea Surface salinity
- Ocean surface roughness
- Microwave radiometry
- Remote sensing
- Forward model
- Retrieval algorithm