Sea Surface Salinity Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".
Deadline for manuscript submissions: closed (30 November 2018) | Viewed by 89962
Special Issue Editors
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
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Special Issue Information
Dear Colleagues,
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
Guest Editors
Manuscript Submission Information
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Keywords
- Sea Surface salinity
- Ocean surface roughness
- Microwave radiometry
- Remote sensing
- Spaceborne
- Airborne
- Forward model
- Retrieval algorithm
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