remotesensing-logo

Journal Browser

Journal Browser

Enhanced Satellite Perspectives of Sea Surface Temperature and Air-Sea Interaction

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

Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 1132

Special Issue Editors

1. Physical Oceanography, Oceanography Department, Alexandria University, Alexandria, Egypt
2. Marine Institute, Oranmore, H91 R673 Galway, Ireland
Interests: physical oceanography; ocean modelling; operational oceanography; climate projections; sea surface temperature; climate dynamics; marine heat waves; meridional circulation; phytoplankton; upwelling system; marine strategy framework directive

E-Mail Website
Guest Editor
Oceanography Department, Faculty of Science, Alexandria University, Alexandria 21500, Egypt
Interests: physical oceanography; ocean circulation; tidal analysis; marine heatwaves; sea level changes; air-sea interaction

E-Mail Website
Guest Editor
1. GeoHydrodynamics and Environment Research (GHER), University of Liège, Liège, Belgium
2. Oceanography Department, Faculty of Science, Alexandria University, Alexandria, Egypt
Interests: physical oceanography; sea surface temperature; sea ice concentration; marine heat waves; sea level changes and tectonics; large scale teleconnection patterns; steric effect

Special Issue Information

Dear Colleagues,

Sea surface temperatures have increased significantly over the past four decades at regional and global scales. This warming affects climate and biogeochemical cycles, ocean circulation, stratification, melting of ocean-bounding glaciers and ice sheets around Greenland and Antarctica, and the exchange of momentum, heat, and gases between the ocean and atmosphere. In addition, this accelerated warming can lead to extreme events (e.g., marine heat waves, low chlorophyll-a concentrations, storm surges) that have devastating effects on the marine ecosystem (e.g., coral bleaching, eutrophication, death of benthic communities, harmful algal blooms). Sea surface temperature, surface air temperature, and sea ice concentration have been classified as essential climate variables (ECVs) by the Global Climate Observing System (GCOS) due to their climate relevance, technical feasibility, and cost-effectiveness, as they play an important role in regulating Earth's climate system and its variability. In addition, large-scale teleconnection patterns (e.g., El Niño-Southern Oscillation, North Atlantic Oscillation) can modulate large-scale climate variability.

We invite papers which use Sea Surface Temperature, Sea Ice concentration, and chlorophyll-a remote-sensing datasets and techniques to understand spatiotemporal trends and extreme events. Furthermore, the possible relation between atmospheric forcings (i.e., Heat fluxes, wind) and large-scale teleconnection patterns with these extreme events.

Dr. Hazem Nagy
Dr. Omneya Ibrahim
Dr. Bayoumy Mohamed
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

  • sea surface temperature
  • extreme events (e.g., atmospheric and oceanic heatwaves, low chlorophyll-a)
  • climate change
  • air-sea interaction
  • biogeochemical cycle
  • large-scale teleconnection pattern
  • coral bleaching
  • sea ice concentration

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Other

15 pages, 71007 KiB  
Technical Note
Inter-Comparison of Satellite-Based Sea Ice Concentration in the Amundsen Sea, Antarctica
by Xueqi Li and Hailun He
Remote Sens. 2023, 15(24), 5695; https://doi.org/10.3390/rs15245695 - 12 Dec 2023
Viewed by 671
Abstract
We conducted a comparison of sea ice concentration (SIC) in the Amundsen Sea using three satellite datasets: Hadley Centre’s sea ice and sea surface temperature (HadISST1), Operational Sea Surface Temperature and Ice Analysis (OSTIA), and Advanced Microwave Scanning Radiometer 2 (AMSR2). HadISST1 has [...] Read more.
We conducted a comparison of sea ice concentration (SIC) in the Amundsen Sea using three satellite datasets: Hadley Centre’s sea ice and sea surface temperature (HadISST1), Operational Sea Surface Temperature and Ice Analysis (OSTIA), and Advanced Microwave Scanning Radiometer 2 (AMSR2). HadISST1 has the longest time period, while AMSR2 has the shortest. In terms of grid resolution, HadISST1 has the coarsest resolution, while AMSR2 has the finest. The sea ice areas (SIAs) observed in HadISST1, OSTIA, and AMSR2 are similar. We studied the decadal variations in SICs by dividing the study period into four temporal segments. We investigated the differences between HadISST1 and OSTIA for each temporal segment. HadISST1 exhibited a more pronounced positive trend compared to OSTIA between 2005 and 2010. Additionally, we compared the interannual and seasonal variations in SICs between HadISST1 and OSTIA. Lastly, it should be noted that the Amundsen Sea polynya area varies across all three datasets. Full article
Show Figures

Figure 1

Back to TopTop