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A novel approach to quantify metrics of upwelling intensity, frequency, and duration
- Source :
- PLoS ONE, PLoS ONE, Vol 16, Iss 7, p e0254026 (2021)
- Publication Year :
- 2021
- Publisher :
- Public Library of Science (PLoS), 2021.
-
Abstract
- The importance of coastal upwelling systems is widely recognized. However, several aspects of the current and future behaviors of these systems remain uncertain. Fluctuations in temperature because of anthropogenic climate change are hypothesized to affect upwelling-favorable winds and coastal upwelling is expected to intensify across all Eastern Boundary Upwelling Systems. To better understand how upwelling may change in the future, it is necessary to develop a more rigorous method of quantifying this phenomenon. In this paper, we use SST data and wind data in a novel method of detecting upwelling signals and quantifying metrics of upwelling intensity, duration, and frequency at four sites within the Benguela Upwelling System. We found that indicators of upwelling are uniformly detected across five SST products for each of the four sites and that the duration of those signals is longer in SST products with higher spatial resolutions. Moreover, the high-resolution SST products are significantly more likely to display upwelling signals at 25 km away from the coast when signals were also detected at the coast. Our findings promote the viability of using SST and wind time series data to detect upwelling signals within coastal upwelling systems. We highlight the importance of high-resolution data products to improve the reliability of such estimates. This study represents an important step towards the development of an objective method for describing the behavior of coastal upwelling systems.
- Subjects :
- 0106 biological sciences
Topography
Atmospheric Science
010504 meteorology & atmospheric sciences
Marine and Aquatic Sciences
Wind
Oceanography
Geographical Regions
01 natural sciences
Duration (project management)
Coastal Regions
Climatology
Multidisciplinary
Geography
Temperature
Signal Processing, Computer-Assisted
Surface Temperature
Signal Filtering
Current (stream)
Physical Sciences
Medicine
Engineering and Technology
Research Article
Data products
Surface Properties
Science
Climate Change
Oceans and Seas
Materials Science
Material Properties
Climate change
Africa, Southern
Meteorology
Sea Water
Time series
Ocean Temperature
0105 earth and related environmental sciences
Landforms
Chi-Square Distribution
010604 marine biology & hydrobiology
Ecology and Environmental Sciences
Global warming
Shores
Aquatic Environments
Geomorphology
Marine Environments
Regional Geography
Signal Processing
Earth Sciences
Upwelling
Environmental science
Intensity (heat transfer)
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- PLOS ONE
- Accession number :
- edsair.doi.dedup.....ae2a9a885b2c06a2e09e2431d9706210