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New Insights into Remote Sensing Techniques, Analysis and Modeling for the Observation of Ocean Waves and Sea Ice Monitoring

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

Deadline for manuscript submissions: closed (1 June 2022) | Viewed by 3037

Special Issue Editors

Institute for Electromagnetic Sensing of the Environment (IREA), National Research Council of Italy (CNR), Via Bassini, 15, 20133 Milano, Italy
Interests: SAR; optical imagery; ocean winds; waves; sea ice; internal waters; water quality
Special Issues, Collections and Topics in MDPI journals
Institute for Electromagnetic Sensing of the Environment (IREA) - National Research Council of Italy (CNR) - via Bassini, 15 - 20133 Milano, Italy
Interests: ocean waves; winds; sea ice; wave propagation
Special Issues, Collections and Topics in MDPI journals
Department of Civil and Environmental Engineering, Clarkson University, Potsdam, NY 13699-5710, USA
Interests: granular materials; sea ice dynamics; wave–ice interactions
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Ocean waves and sea ice are intimately connected. As ocean waves can affect the sea ice types, floes distribution and concentration, and thus the fluxes through the ocean-atmosphere interface, it is demanding to include waves-in-ice into the earth system of observation and modeling. The dramatic shrinking of the sea ice extent and volume allows winds to blow over longer fetches, thus developing higher and more energetic waves. Such waves favour the formation of grease and pancakes in the marginal ice zone and the fragmentation of ice floes in the depth of icefields, thereby contributing to the overall reduction of sea ice in the polar regions.

Therefore, it is challenging to refine and extend the observation techniques and analysis methods to monitor the evolution of both ocean waves and sea ice. These include the sensing of proximity carried by in situ instrumentations, suitable for local descriptions of both sea ice distribution (e.g., floes size distribution) and alteration of waves dispersion (both attenuation and wavenumber) as well as the synoptic imaging and non-imaging observations from aerial and spaceborne active/passive microwave (e.g., SAR and radiometers) and optical sensors. In addition, sea ice and wave data gathered by remote observations need to be coupled to or assimilated into numerical wave models to improve forecasts.

This Special Issue, entitled “New insights into remote sensing techniques, analysis and modeling for the observation of ocean waves and sea ice monitoring” is aimed at gathering research works on all the aspects related to the measurement, observation, analysis methods of ocean waves and sea ice, also in conjunction with theoretical description, modeling and forecast in the polar, sub-polar and marginal seas. This can be achieved either by taking advantage of the available microwave, optical, acoustic data and imagery provided from above by space-, air-, ship-borne, UAV systems and from below by submarine and underwater vehicles. The description of relevant case studies is also welcome.

Dr. Giacomo De Carolis
Dr. Francesca De Santi
Prof. Dr. Hayley H. Shen
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

  • ocean waves
  • sea ice types
  • thickness concentration
  • wave models
  • forecasts
  • SAR
  • radiometers
  • optical sensors
  • UAV
  • ship-based instrumentations
  • submarine
  • autonomous underwater vehicles

Published Papers (1 paper)

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Research

16 pages, 7763 KiB  
Article
Accuracy Evaluation of CFOSAT SWIM L2 Products Based on NDBC Buoy and Jason-3 Altimeter Data
by Guozhou Liang, Jungang Yang and Jichao Wang
Remote Sens. 2021, 13(5), 887; https://0-doi-org.brum.beds.ac.uk/10.3390/rs13050887 - 26 Feb 2021
Cited by 19 | Viewed by 2291
Abstract
Chinese-French Oceanography Satellite (CFOSAT), the first satellite which can observe global ocean wave and wind synchronously, was successfully launched On 29 October 2018. The CFOSAT carries SWIM that can observe ocean wave on a global scale. Based on National Data Buoy Center (NDBC) [...] Read more.
Chinese-French Oceanography Satellite (CFOSAT), the first satellite which can observe global ocean wave and wind synchronously, was successfully launched On 29 October 2018. The CFOSAT carries SWIM that can observe ocean wave on a global scale. Based on National Data Buoy Center (NDBC) buoys and Jason-3 altimeter data, this study evaluated the accuracy of L2 level products of CFOSAT SWIM from August 2019 to September 2020. The results show that the accuracy of the nadir Significant Wave Height (SWH) data of the SWIM wave spectrometer is good. Compared with the data of the NDBC buoys and Jason-3 altimeter, the RMSE of the nadir box SWH were 0.39 and 0.21 m, respectively. The variation trend of SWH were first increasing and then decreasing with the increasing of the wave height. The precision of off-nadir wave spectrum SWH is not better than nadir box SWH data. Accuracy was evaluated for off-nadir data from August 2019 to June 2020 and after June 2020, respectively. After linear regression correction, the accuracy of off-nadir wave spectrum SWH was improved. The data accuracy evaluation and comparison of different time period showed that the off-nadir wave spectrum SWH accuracy was improved after the data version was updated in June 2020, especially for 6° and 8° wave spectrum. The precision of off-nadir wave spectrum SWH decreases with the increasing of wave height. The accuracy of the dominant wave direction of each wave spectrum is also not very good, and the accuracy of the dominant wave direction of 10° wave spectrum is slightly better than the others. In general, the accuracy of SWIM nadir beam SWH data reaches the high data accuracy of traditional altimeter, while the accuracy of off-nadir wave spectrum SWH is less than that of nadir beam SWH data. The off-nadir SWH data accuracy after June 2020 has been greatly improved. Full article
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