Covariability of Near-Surface Wind Speed Statistics and Mesoscale Sea Surface Temperature Fluctuations

Show simple item record

dc.contributor.author Gemmrich, Johannes
dc.contributor.author Monahan, Adam
dc.date.accessioned 2019-09-26T12:00:50Z
dc.date.available 2019-09-26T12:00:50Z
dc.date.copyright 2018 en_US
dc.date.issued 2018
dc.identifier.citation Gemmrich, J. & Monahan, A. (2018). Covariability of Near-Surface Wind Speed Statistics and Mesoscale Sea Surface Temperature Fluctuations. Journal of Physical Oceanography, 49(10), 465-478. https://doi.org/10.1175/JPO-D-17-0177.1 en_US
dc.identifier.uri https://doi.org/10.1175/JPO-D-17-0177.1
dc.identifier.uri http://hdl.handle.net/1828/11181
dc.description.abstract 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. en_US
dc.description.sponsorship 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). en_US
dc.language.iso en en_US
dc.publisher Journal of Physical Oceanography en_US
dc.subject Atmosphere-ocean interaction en_US
dc.subject Stochastic models en_US
dc.title Covariability of Near-Surface Wind Speed Statistics and Mesoscale Sea Surface Temperature Fluctuations en_US
dc.type Article en_US
dc.description.scholarlevel Faculty en_US
dc.description.reviewstatus Reviewed en_US

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search UVicSpace


My Account