Validation and Application of Satellite-Derived Sea Surface Temperature Gradients in the Bering Strait and Bering Sea

Author:

Vazquez-Cuervo Jorge1ORCID,Steele Michael2,Wethey David S.3ORCID,Gómez-Valdés José4ORCID,García-Reyes Marisol5,Spratt Rachel1,Wang Yang2

Affiliation:

1. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA

2. Applied Physics Laboratory, University of Washington, Seattle, WA 98105, USA

3. Department of Biological Sciences, University of South Carolina, Columbia, SC 29208, USA

4. CICESE Institute, Center for Scientific Research and Higher Education, Ensenada 22860, Mexico

5. Farallon Institute, Petaluma, CA 94952, USA

Abstract

The Arctic is one of the most important regions in the world’s oceans for understanding the impacts of a changing climate. Yet, it is also difficult to measure because of extreme weather and ice conditions. In this work, we directly compare four datasets from the Group for High-Resolution Sea Surface Temperature (GHRSST) with a NASA Saildrone deployment along the Alaskan Coast and the Bering Sea and Bering Strait. The four datasets used are the Remote Sensing Systems Microwave Infrared Optimally Interpolated (MWIR) product, the Canadian Meteorological Center (CMC) product, the Daily Optimally Interpolated Product (DOISST), and the Operational Sea Surface Temperature and Ice Analysis (OSTIA) product. Spatial sea surface temperature (SST) gradients were derived for both the Saildrone deployment and GHRSST products, with the GHRSST products collocated with the Saildrone deployment. Overall, statistics indicate that the OSTIA product had a correlation of 0.79 and a root mean square difference of 0.11 °C/km when compared with Saildrone. CMC had the highest correlation of 0.81. Scatter plots indicate that OSTIA had the slope closest to one, thus best reproducing the magnitudes of the Saildrone gradients. Differences increased at latitudes > 65°N where sea ice would have a greater impact. A trend analysis was then performed on the gradient fields. Overall, positive trends in gradients occurred in areas along the coastal regions. A negative trend occurred at approximately 60°N. A major finding of this study is that future work needs to revolve around the impact of changing ice conditions on SST gradients. Another major finding is that a northward shift in the southern ice edge occurred after 2010 with a maxima at approximately 2019. This indicates that the shift of the southern ice edge is not gradual but has dramatically increased over the last decade. Future work needs to revolve around examining the possible causes for this northward shift.

Funder

Multi-Sensor Improved Sea Surface Temperature Project

CICESE and CONAHCYT, México

NASA

Publisher

MDPI AG

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