Covariability of Near-Surface Wind Speed Statistics and Mesoscale Sea Surface Temperature Fluctuations
The atmospheric (ABL) and ocean (OBL) boundary layers are intimately linked via mechanical and thermal coupling processes. In many regions over the world’s oceans, this results in a strong covariability between anomalies in wind speed and SST. At oceanic mesoscale, this coupling can be driven either...
| Published in: | Journal of Physical Oceanography |
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| Main Authors: | , |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
Journal of Physical Oceanography
2018
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1828/11181 https://doi.org/10.1175/JPO-D-17-0177.1 |
| Summary: | The atmospheric (ABL) and ocean (OBL) boundary layers are intimately linked via mechanical and thermal coupling processes. In many regions over the world’s oceans, this results in a strong covariability between anomalies in wind speed and SST. At oceanic mesoscale, this coupling can be driven either from the atmosphere or the ocean. Gridded SST and wind speed data at 0.25° resolution show that over the western North Atlantic, the ABL mainly responds to the OBL, whereas in the eastern North Pacific and in the Southern Ocean, the OBL largely responds to wind speed anomalies. This general behavior is also verified by in situ buoy observations in the Atlantic and Pacific. A stochastic, nondimensional, 1D coupled air–sea boundary layer model is utilized to assess the relative importance of the coupling processes. For regions of little intrinsic SST fluctuations (i.e., most regions of the world’s oceans away from strong temperature fronts), the inclusion of cold water entrainment at the thermocline is crucial. In regions with strong frontal activities (e.g., the western boundary regions), the coupling is dominated by the SST fluctuations, and the frontal variability needs to be included in models. Generally, atmospheric and ocean-driven coupling lead to an opposite relationship between SST and wind speed fluctuations. This effect can be especially important for higher wind speed quantiles. This work was supported by the Canadian Networks of Centres of Excellence as part of Marine Environmental Observation, Prediction and Response (MEOPAR). AHM acknowledges support from the Natural Sciences and Engineering Research Council (NSERC) of Canada. Gridded SST and wind data were obtained from the NASA EOSDIS Physical Oceanography Distributed Active Archive Center (PO.DAAC). Buoy data are provided by Fisheries and Oceans Canada (http://www.meds-sdmm.dfo-mpo.gc.ca). Faculty Reviewed |
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