Impact of the interfaces for wind and wave modeling - interpretation using COAWST, SAR and point measurements
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1 Downloaded from orbit.dtu.dk on: Oct 21, 2018 Impact of the interfaces for wind and wave modeling - interpretation using COAWST, SAR and point measurements Larsén, Xiaoli Guo; Du, Jianting; Bolanos, Rodolfo; Badger, Merete; Larsen, Søren Ejling; Kelly, Mark C. Publication date: 2017 Document Version Publisher's PDF, also known as Version of record Link back to DTU Orbit Citation (APA): Larsén, X. G. (Author), Du, J. (Author), Bolanos, R. (Author), Badger, M. (Author), Larsen, S. E. (Author), & Kelly, M. C. (Author). (2017). Impact of the interfaces for wind and wave modeling - interpretation using COAWST, SAR and point measurements. Sound/Visual production (digital) General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Users may download and print one copy of any publication from the public portal for the purpose of private study or research. You may not further distribute the material or use it for any profit-making activity or commercial gain You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.
2 Impact of interfaces for wind and wave modeling via coupled atmospheric & ocean wave models, with SAR and mast measurements Presenter: Xiaoli Guo Larsén With contributions from Jianting Du (first author) Rodolfo Bolaños Merete Badger Søren Larsen Mark Kelly 1
3 Focal point Atmosphere Model u10 v10 z0 Wave Model 2
4 Method 1. Measurements 2. Development of the Wave Boundary Layer Model (WBLM) 3. Results of application of WBLM 3
5 1 Measurements: from mast & buoy Horns Rev Mast , pre farm operation Sonic: 50 m Cup: 15, 30, 45, 62 m 4
6 1 Measurements: ENVISAT Synthetic Aperture Radar SAR 10 m wind speed Radar backscatter measured by ASAR 5
7 1 Measurements: from literature Soloviev (2014): A collection of measurements from Powell (2003), Black (2007, CBLAST-Hurricane), Bell (2012), Jarosz (2007), Holthuijsen (2012) Edson (2007): CBLAST-LOW Donelan (2004): Laboratory measurements in a wave tank (15m long x 1m wide x 1m high) 6
8 Motivation (1) 2 7 WindEurope June, 2017
9 Motivation (2) Schemes z 0 2 Charnock Drennan et al Fan et al. Liu et al. Oost et al. SWAN default Taylor-Yelland 8
10 Horns Rev M2 OBS, Horns Rev M2 OBS, Horns Rev M2 2 z 0 m U 10 m/s z 0 m WRF 9 U 10 m/s
11 Motivation (3) Atmosphere WRF Model JANSSEN SCHEME 2 SWAN Wave Model with 10
12 The Wave Boundary Layer Model 11
13 The Wave Boundary Layer Model WRF 2 SWAN 12
14 Model setup Two-way online Nested km 30 hours for each run WRF: CFSR+OISST 77 vertical sigma levels MYNN 3.0 PBL scheme RRTM long and short wave radiation Kain-Fritsch cumulus scheme (domain I) Corine land use SWAN: 1/8 arc-minute bathymetry data Initiated 24h before the simulation Close boundary for open sea 36 directional bins Hz < f < Hz (KOM and WBLM) 0.03 Hz < f < 0.57 Hz (JANS) 13
15 Model performance 3 Cases are chosen to emphasize the conditions: storm and/or coastal Example case 1: (coastal, moderate to strong wind) bathymetry Radar backscatter measured by ASAR 14
16 Model performance Not coupled Fan 3 Roughness length :50 Wind vector Taylor-Yelland Drennan Oost Liu Radar backscatter measured by ASAR Janssen WBLM 15
17 Model performance Drag coefficient difference: coupled - uncoupled Fan Drennan Taylor-Yelland Oost 3 Liu Janssen 20:45, WBLM 16
18 Model performance Not coupled 3 Fan Drag coefficient vs. U 10 Whole domain III, entire period Taylor-Yelland Drennan Oost Liu Janssen WBLM 17
19 Model performance Fan Taylor-Yelland 3 U 10 /U 10 (%) Between coupled and not-coupled Drennan Oost 20:45, Liu Janssen WBLM 18
20 Discussion and summary Coastal wind-wave relations are more complicated than for open sea conditions Existing modeling approaches are of limited use during storm conditions Tests of z0 -parameterizations to couple atmospheric models and wave models are inconclusive A Wave Boundary Layer Model (WBLM) is implemented in SWAN, using conservations of momentum and turbulence kinetic energy to be coupled to WRF WBLM outperforms the other schemes in coastal and stormy conditions 19
21 Thanks to the support Project: Danish PSO X-WiWa Project: EU CEASELESS Horns Rev data from DONG Energy SAR data from European Space Agency Open source WRF, SWAN, COAWST 20
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