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Remote Sensing of High Winds and High Seas

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 566

Special Issue Editors


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Guest Editor
Department of Earth, Ocean and Atmospheric Science, Florida State University, EOAS Building 1011 Academic Way, Tallahassee, FL 32306, USA
Interests: remote sensing of the surface and boundary layer; boundary layers (ocean and atmosphere); air–sea interaction; the observing system
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Institut de Ciѐncies del Mar (ICM-CSIC), Pg. Marítim de la Barceloneta 37-49, 08003 Barcelona, Spain
Interests: satellite remote sensing; data assimilation; air–sea interactions; moist convection; extreme weather; oceanography; scatterometry; synthetic aperture radars; GNSS-R; microwave radiometry; sea surface wind, wind stress, salinity and sea ice parameter retrievals; geophysical data interpretation; calibration/validation; forward modelling; measurement error modelling; quality control; non-linear inversion

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Guest Editor
Remote Sensing Systems, 444 10th St, Suite 200, Santa Rosa, CA 95401, USA
Interests: ocean vector wind retrievals from space; development of scatterometer geophysical model functions; climate data records; satellite data intercalibration; calibration/validation of wind data including hurricane force winds; water cycle and atmospheric circulation variability; statistical, spectral and climate analysis of large datasets
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
CPASS, UCAR—NESDIS/NOAA/STAR, College Park, MD 20740, USA
Interests: satellite remote sensing of winds and waves; tropical and extratropical cyclones; radar and radiometer calibration; scatterometer, radiometer and GNSS-R measurement techniques; forward modeling; retrieval methodologies; geophysical data interpretation; data applications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the remote sensing of the ocean, ocean surface and atmosphere related to extreme weather. This includes remote sensing in or below the storm, as well as remote sensing of phenomena generated by a severe storm. It covers remote sensing techniques, processes determined from remote sensing and operational applications of remote sensing.

Prof. Dr. Mark Bourassa
Dr. Marcos Portabella
Dr. Lucrezia Ricciardulli
Dr. Zorana Jelenak
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. 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

  • remote sensing
  • extreme weather
  • surface winds
  • tropical and extratropical cyclones
  • waves
  • currents
  • vertical motion
  • storm wake anomalies
  • extreme air–sea fluxes

Published Papers (1 paper)

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Research

25 pages, 5017 KiB  
Article
Variability Assessment of Global Extreme Coastal Sea Levels Using Altimetry Data
by Hector Lobeto and Melisa Menendez
Remote Sens. 2024, 16(8), 1355; https://doi.org/10.3390/rs16081355 - 12 Apr 2024
Viewed by 394
Abstract
This study assesses the variability of coastal extreme sea levels globally by utilizing nearly three decades of along-track, multi-mission satellite altimetry data. An altimetry-based global coastal database of the non-tidal residual sea level component has been produced. The climate variability of extremes is [...] Read more.
This study assesses the variability of coastal extreme sea levels globally by utilizing nearly three decades of along-track, multi-mission satellite altimetry data. An altimetry-based global coastal database of the non-tidal residual sea level component has been produced. The climate variability of extremes is modeled through a parametric, non-stationary statistical model. This model captures intra-annual, inter-annual and long-term variations in non-tidal residual return levels. Comparisons with tide gauge data demonstrate the ability of altimetry data to capture the variability of coastal extreme sea levels. Our findings reveal a greater complexity in the monthly variability patterns of non-tidal residual extremes in tropical latitudes, often exhibiting multiple storm periods, contrasting with coasts in extratropical latitudes, which are mostly controlled by a winter–summer pattern. This study also highlights the significant influence of established climate circulation patterns on sea level extremes. The positive phase of the Arctic Oscillation pattern leads to increases of over 25% in non-tidal residual return levels in Northwestern Europe with respect to a neutral phase. Furthermore, return levels in the western coast of Central America could be 50% higher during El Niño compared to La Niña. Our results show a robust increasing trend in non-tidal residual return levels along most global coastlines. A comparative analysis shows that variations during the 1995–2020 period were primarily driven by intra-annual variations. Full article
(This article belongs to the Special Issue Remote Sensing of High Winds and High Seas)
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