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Wind waves in arctic seas

Gemmrich, Johannes and Rogers, Erick and Thomson, Jim and Lehner, Susanne and Pleskachevsky, Andrey (2015) Wind waves in arctic seas. In: 49th CMOS Congress and 13th AMS Conference on Polar Meteorology and Oceanography Abstract Book, p. 71. Canadian Meteorological and Oceanographic Society’s 49th Congress and the American Meteorological Society’s 13th Conference on Polar Meteorology and Oceanography, 31. May - 04. Jun 2015, Whistler, Canada. ISBN 978 0 9880587 3 6.

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Official URL: http://cmos.in1touch.org/uploaded/web/congress/Files/CMOS%202015%20Abstract%20Book.pdf


The reduction of the sea ice coverage during the boreal summer will lead to an increased importance of wind waves for the dynamic processes of the Arctic Seas. Larger ice free areas lead to longer fetch and thus longer and higher sea state. Wind waves will enhance upper-ocean mixing, may affect the breakup of ice sheets, and will likely lead to increased coastal erosion. Our long-term goal is a better understanding of the two-way interaction of waves and sea-ice, in order to improve wave models as well as ice models applicable to a changing Arctic wave- and ice climate. Wind, wave and ice information has been retrieved from space-borne SAR imagery (TerraSAR-X), collected during summer 2014 in the Beaufort Sea. The SAR data were co-located with drifting wave-buoys and wave gliders. This information complements and validates model data (Wavewatch III) for the spatial and temporal evolution of sea state in the Arctic. We will present examples of wind and wave fields under different wind forcing and ice conditions, and discuss the advantages of the three observational/modelling approaches. The examples highlight the strong spatial heterogeneity of the wave field in arctic regions, and the need for high resolution spatial wave observations. Satellite-based wave field observations can bridge the gap between the single point buoy observation that provide high resolution time series of wave parameters, and the output of wave models which are of relatively coarse resolution and are inherently limited by the quality of the wind and ice input fields, but are unlimited in their spatial and temporal extent.

Item URL in elib:https://elib.dlr.de/101342/
Document Type:Conference or Workshop Item (Speech)
Title:Wind waves in arctic seas
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Gemmrich, JohannesUniversity of Victoria, Physics & Astronomy, Victoria, BC, CanadaUNSPECIFIEDUNSPECIFIED
Rogers, ErickNaval Research Laboratory, StennisSpace Center, Mississippi, USAUNSPECIFIEDUNSPECIFIED
Thomson, JimApplied Physics Laboratory, University of WashingtonUNSPECIFIEDUNSPECIFIED
Journal or Publication Title:49th CMOS Congress and 13th AMS Conference on Polar Meteorology and Oceanography Abstract Book
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:p. 71
EditorsEmailEditor's ORCID iDORCID Put Code
Ainslie, BruceCanadian Meteorological and Oceanographic SocietyUNSPECIFIEDUNSPECIFIED
Ashman, TimCanadian Meteorological and Oceanographic SocietyUNSPECIFIEDUNSPECIFIED
Soux, AndresCanadian Meteorological and Oceanographic SocietyUNSPECIFIEDUNSPECIFIED
ISBN:978 0 9880587 3 6
Keywords:SAR, wind field, ocean waves
Event Title:Canadian Meteorological and Oceanographic Society’s 49th Congress and the American Meteorological Society’s 13th Conference on Polar Meteorology and Oceanography
Event Location:Whistler, Canada
Event Type:international Conference
Event Dates:31. May - 04. Jun 2015
Organizer:Canadian Meteorological and Oceanographic Society - CMOS & American Meteorological Society
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben Entwicklung und Erprobung von Verfahren zur Gewässerfernerkundung (old)
Location: Bremen , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Remote Sensing Technology Institute
Deposited By: Haschberger, Dr.-Ing. Peter
Deposited On:17 Dec 2015 17:10
Last Modified:18 Dec 2015 11:15

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