Assessing the quality of Synthetic Aperture Radar (SAR) wind retrieval in coastal zones using multiple Lidars

Size: px
Start display at page:

Download "Assessing the quality of Synthetic Aperture Radar (SAR) wind retrieval in coastal zones using multiple Lidars"

Transcription

1 Assessing the quality of Synthetic Aperture Radar (SAR) wind retrieval in coastal zones using multiple Lidars Tobias Ahsbahs Merete Badger, Ioanna Karagali, Xiaoli Larsen

2 What is the coastal zone? Coastal zone here defined as the region over water where the boundary layer is not in equilibrium. Results suggest that the distance from the coastline over which wind speed vertical profiles are not at equilibrium with the sea surface (which defines the coastal zone) extends to 20 km and possibly 70 km from the coast. 1 Typically, up to 50km distance to shore is define as the coastal zone for wind energy applications. 1 Barthelmie et.al., Offshore Coastal Wind Speed Gradients: issues for the design and development of large offshore windfarms, Wind Engineering,

3 SAR wind retrieval Radar backscatter High resolution o cean wind speed at10 m 3

4 From radar backscatter to wind speed Radar backscatter is related to the roughness of the ocean surface Geophysical Model Function (GMF) CMOD5.n for this study Input: Angle between wind direction and radar beam Radar backscatter signal Output: Wind speed at 10m RMSE typically 1.3m/s Hasager, C.B. et al. (2015): Offshore wind climatology based on synergetic use of Envisat ASAR, ASCAT and QuikSCAT. Remote Sensing of Environment, 156, /j.rse

5 Motivation for coastal winds from SAR Why do we want SAR wind in the coastal zone? High resolution can resolve horizontal wind speed gradients Large data archive available What is the problem? Coastal effects like currents, breaking waves, limited fetch etc. Performance of the GMFs in the coastal zone unknown Approach: Use ground based remote sensing techniques to measure the wind in the coastal zone. Compare to available Sentinel-1 data 5

6 The RUNE project Reducing Uncertainty of Near-shore wind resource Estimates using onshore lidars Data from December 2015 to March 2016 West Coast of Denmark Remote sensing instruments for wind speed measurements 6

7 Radial velocity sampling Wind vector consists of 3 components (u, v, w) Radial velocity is a projection of the true wind speed along the laser s line of sight One LiDAR can only measure a portion of the wind vector! Thanks to Elliot Simon for this slide 7

8 The RUNE project A near shore wind measurement campaign Multiple Lidars for: Wind profiles Sector scans (SC) Dual Doppler (DD) Additional data WRF model runs SAR images Høvsøre tall met mast For more information: Peña et.al., Report on the coastal experiment and first inter-comparisons between measurement systems,

9 The RUNE project A near shore wind measurement campaign Multiple Lidars for: Wind profiles Sector scans (SC) Dual Doppler (DD) Additional data WRF model runs SAR images Høvsøre tall met mast For more information: Peña et.al., Report on the coastal experiment and first inter-comparisons between measurement systems,

10 SAR and lidar wind measurements from the RUNE project Zoom into the RUNE area SAR image of Danish West Coast Image: Sentinel-1, Processing with SAROPS from APL/NOAA Scanning lidar 10min mean speed 10

11 Comparing Lidar and SAR. HOW? Colocate in time and space Logarithmic wind profile for vertical displacement Assuming homogenuity along the coast in the SAR wind 11

12 Comparisons of 10m winds Assuming homogenuity along the coast SAR and scanning lidar comaprison at 10m Scanning lidar 10min mean speed 12

13 Scanning lidars and SAR wind over the transect Left: Differences U(10m) DD-SAR wind. Right: Differences U(10m) SC-SAR wind 10m wind from the lowest lidar level Cases: 10 for DD, 11 for SC RMSE: 1.4 m/s DD, 1.8 m/s SC Bias: 0.6 m/s DD, 0.2 for SC 13

14 Average from 1500m to 5000m Box average of the SAR wind Mean over 10m wind from the lowest lidar All wind directions All stabilities RMSE comparable to literature 14

15 Average from 1500m to 5000m easterly wind Box average of the SAR wind Mean over 10m wind from the lowest lidar Wind from the land All stratifications Large RMSE Internal boundary layer unaccouted 15

16 Average from 1500m to 5000m westerly wind Box average of the SAR wind Mean over 10m wind from the lowest lidar Wind from the sea All stratifications RMSE comparable to literature Still considerable deviations 16

17 Non-logarithmic cases Use 10m wind from all lidar levels 10m wind inconsistent Non-logarithmic profile 17

18 Non-logarithmic cases Use 10m wind from all lidar levels 10m wind inconsistent Non-logarithmic profile 18

19 Average from 1500m to 5000m westerly wind excluding 2 cases Box average of the SAR wind Mean over 10m wind from the lowest lidar Wind from the sea Excluding inconsistent 10m wind Better RMSE Even fewer cases 19

20 Average from 1500m to 5000m westerly wind and neutral stratification Box average of the SAR wind Mean over 10m wind from the lowest lidar Wind from the sea Neutral ( L >500m) at 40m (onshore mast) Good RMSE Very few cases 20

21 Conclusions SAR wind retrievals in the coastal zone can work. Using Lidar measurements above 10m for comparisons is challenging. Cases with westerly winds and neutral stratification agree very well. Outlook: More data from other locations for better statistics. More detailed investigation of each case in a case study. Use SAR for investigation of coastal gradients. Acknowledgement: ESA for the use of Sentinel-1 data Thanks to ForskEL for funding the RUNE experiment and DTU s technical staff for the execution 21

Lifting satellite winds from 10 m to hub-height

Lifting satellite winds from 10 m to hub-height Lifting satellite winds from 10 m to hub-height Hasager, C.B., Badger, M., Peña, A., Hahmann, A., Volker, P. 23 May 2016 VindkraftNet meeting, DONG Energy, Skærbæk Motivation We have: Satellite wind maps

More information

Introduction EU-Norsewind

Introduction EU-Norsewind Satellite winds in EU-Norsewind Charlotte Bay Hasager, Risø DTU, Denmark Alexis Mouche, CLS, France Merete Badger, Poul Astrup & Morten Nielsen, Risø DTU, Denmark Romain Husson, ESA Introduction EU-Norsewind

More information

Offshore wind resource mapping in Europe from satellites

Offshore wind resource mapping in Europe from satellites Offshore wind resource mapping in Europe from satellites Charlotte Bay Hasager Seminar at University of Auckland, Dept. of Physics 1 April 2015 Content DTU Wind Energy Offshore wind turbines New European

More information

Executive Summary of Accuracy for WINDCUBE 200S

Executive Summary of Accuracy for WINDCUBE 200S Executive Summary of Accuracy for WINDCUBE 200S The potential of offshore wind energy has gained significant interest due to consistent and strong winds, resulting in very high capacity factors compared

More information

Monitoring Conditions Offshore with Satellites

Monitoring Conditions Offshore with Satellites Downloaded from orbit.dtu.dk on: Dec 15, 2017 Monitoring Conditions Offshore with Satellites Karagali, Ioanna; Hasager, Charlotte Bay; Badger, Merete; Bingöl, Ferhat; Ejsing Jørgensen, Hans Publication

More information

Validation of long-range scanning lidars deployed around the Høvsøre Test Station

Validation of long-range scanning lidars deployed around the Høvsøre Test Station Downloaded from orbit.dtu.dk on: Dec 18, 2017 Validation of long-range scanning lidars deployed around the Høvsøre Test Station Lea, Guillaume; Courtney, Michael Publication date: 2016 Link back to DTU

More information

ADVANCES ON WIND ENERGY RESOURCE MAPPING FROM SAR

ADVANCES ON WIND ENERGY RESOURCE MAPPING FROM SAR ADVANCES ON WIND ENERGY RESOURCE MAPPING FROM SAR C.B. Hasager, M. Nielsen, M.B. Christiansen, R. Barthelmie, P. Astrup Risoe National Laboratory, Wind Energy Department, Frederiksborgvej 399, DK-4000

More information

Measuring offshore winds from onshore one lidar or two?

Measuring offshore winds from onshore one lidar or two? Downloaded from orbit.dtu.dk on: Dec 21, 2017 Measuring offshore winds from onshore one lidar or two? Vasiljevic, Nikola; Courtney, Michael; Pena Diaz, Alfredo; Lea, Guillaume; Vignaroli, Andrea Publication

More information

Wind statistics offshore based on satellite images

Wind statistics offshore based on satellite images Wind statistics offshore based on satellite images Charlotte Bay Hasager, Merete Badger, Poul Astrup, Morten Nielsen, Ioanna Karagali, Risø DTU Alexis Mouche, CLS, France Content Offshore sites QuikSCAT

More information

Offshore wind mapping Mediterranean area using SAR

Offshore wind mapping Mediterranean area using SAR Downloaded from orbit.dtu.dk on: Jan 12, 2019 Offshore wind mapping Mediterranean area using SAR Calaudi, Rosamaria; Arena, Felice; Badger, Merete; Sempreviva, Anna Maria Published in: Energy Procedia

More information

RZGM Wind Atlas of Aegean Sea with SAR data

RZGM Wind Atlas of Aegean Sea with SAR data RZGM2013-14 - Wind Atlas of Aegean Sea with SAR data Ferhat Bingöl 1, Charlotte B. Hassager 2, Merete Badger 3 and Jake Badger 4 Denmark Technical University, Wind Energy, Frederiksborgvej 399 4000 Roskilde,

More information

STUDY OF LOCAL WINDS IN MOUNTAINOUS COASTAL AREAS BY MULTI- SENSOR SATELLITE DATA

STUDY OF LOCAL WINDS IN MOUNTAINOUS COASTAL AREAS BY MULTI- SENSOR SATELLITE DATA STUDY OF LOCAL WINDS IN MOUNTAINOUS COASTAL AREAS BY MULTI- SENSOR SATELLITE DATA Werner Alpers Institute of Oceanography, University of Hamburg, Bundesstrasse 53, D-20146 Hamburg, Germany E-mail: alpers@ifm.uni-hamburg.de

More information

SAR-based Wind Resource Statistics in the Baltic Sea

SAR-based Wind Resource Statistics in the Baltic Sea Downloaded from orbit.dtu.dk on: Nov 13, 2018 SAR-based Wind Resource Statistics in the Baltic Sea Hasager, Charlotte Bay; Badger, Merete; Pena Diaz, Alfredo; Larsén, Xiaoli Guo; Bingöl, Ferhat Published

More information

REMOTE SENSING APPLICATION in WIND ENERGY

REMOTE SENSING APPLICATION in WIND ENERGY REMOTE SENSING APPLICATION in WIND ENERGY Siraj Ahmed Professor & Head Department of Mechanical Engineering Maulana Azad National Iinstitute of Technology Bhopal, India sirajahmed@manit.ac.in Contents

More information

Synthetic Aperture Radar imaging of Polar Lows

Synthetic Aperture Radar imaging of Polar Lows Oslo Polar Low workshop 21-22 May 2012 Extended abstract Synthetic Aperture Radar imaging of Polar Lows Birgitte Furevik, Gunnar Noer and Johannes Röhrs met.no Forecasting polar lows is to a large degree

More information

Xiaoli Guo Larsén,* Søren Larsen and Andrea N. Hahmann Risø National Laboratory for Sustainable Energy, Roskilde, Denmark

Xiaoli Guo Larsén,* Søren Larsen and Andrea N. Hahmann Risø National Laboratory for Sustainable Energy, Roskilde, Denmark Quarterly Journal of the Royal Meteorological Society Q. J. R. Meteorol. Soc. 138: 274 279, January 2012 A Notes and Correspondence Origin of the waves in A case-study of mesoscale spectra of wind and

More information

Deep Sea Offshore Wind Power R&D Seminar Trondheim, Jan. 2011

Deep Sea Offshore Wind Power R&D Seminar Trondheim, Jan. 2011 Deep Sea Offshore Wind Power R&D Seminar Trondheim, 20-21 Jan. 2011 Atmospheric Profiling by Lidar for Wind Energy Research Torben Mikkelsen Wind Energy Division Risø National Laboratory for Sustainable

More information

Airborne Coherent Wind Lidar measurements of vertical and horizontal wind speeds for the investigation of gravity waves

Airborne Coherent Wind Lidar measurements of vertical and horizontal wind speeds for the investigation of gravity waves Airborne Coherent Wind Lidar measurements of vertical and horizontal wind speeds for the investigation of gravity waves 18 th Coherent Laser Radar Conference, Boulder, CO, USA 27 June to 1 July 2016 Benjamin

More information

Profiles of Wind and Turbulence in the Coastal Atmospheric Boundary Layer of Lake Erie

Profiles of Wind and Turbulence in the Coastal Atmospheric Boundary Layer of Lake Erie Journal of Physics: Conference Series OPEN ACCESS Profiles of Wind and Turbulence in the Coastal Atmospheric Boundary Layer of Lake Erie To cite this article: H Wang et al 2014 J. Phys.: Conf. Ser. 524

More information

Development of SAR-Derived Ocean Surface Winds at NOAA/NESDIS

Development of SAR-Derived Ocean Surface Winds at NOAA/NESDIS Development of SAR-Derived Ocean Surface Winds at NOAA/NESDIS Pablo Clemente-Colón, William G. Pichel, NOAA/NESDIS Frank M. Monaldo, Donald R. Thompson The Johns Hopkins University Applied Physics Laboratory

More information

Remote Sensing for Wind Energy

Remote Sensing for Wind Energy Downloaded from orbit.dtu.dk on: Jan 14, 2019 Remote Sensing for Wind Energy Pena Diaz, Alfredo; Hasager, Charlotte Bay; Badger, Merete; Barthelmie, Rebecca Jane; Bingöl, Ferhat; Cariou, Jean-Pierre ;

More information

Windcube FCR measurements

Windcube FCR measurements Windcube FCR measurements Principles, performance and recommendations for use of the Flow Complexity Recognition (FCR) algorithm for the Windcube ground-based Lidar Summary: As with any remote sensor,

More information

Wind Stress Working Group 2015 IOVWST Meeting Portland, OR

Wind Stress Working Group 2015 IOVWST Meeting Portland, OR Wind Stress Working Group 2015 IOVWST Meeting Portland, OR Summary of Research Topics, Objectives and Questions James B. Edson University of Connecticut SPURS Mooring, Farrar, WHOI Background Motivation

More information

Satellite Observations of Equatorial Planetary Boundary Layer Wind Shear

Satellite Observations of Equatorial Planetary Boundary Layer Wind Shear Satellite Observations of Equatorial Planetary Boundary Layer Wind Shear David Halpern and Michael Garay NASA / California Institute of Technology Jet Propulsion Laboratory Pasadena, California, USA Thanks

More information

Remote Sensing of Environment

Remote Sensing of Environment Remote Sensing of nvironment 156 (2015) 247 263 Contents lists available at ScienceDirect Remote Sensing of nvironment journal homepage: www.elsevier.com/locate/rse Offshore wind climatology based on synergetic

More information

Wind Atlas for the Gulf of Suez Satellite Imagery and Analyses

Wind Atlas for the Gulf of Suez Satellite Imagery and Analyses Downloaded from orbit.dtu.dk on: Nov 09, 2017 Wind Atlas for the Gulf of Suez Satellite Imagery and Analyses Hasager, Charlotte Bay Publication date: 2003 Document Version Publisher's PDF, also known as

More information

DIRECTION DEPENDENCY OF OFFSHORE TURBULENCE INTENSITY IN THE GERMAN BIGHT

DIRECTION DEPENDENCY OF OFFSHORE TURBULENCE INTENSITY IN THE GERMAN BIGHT 10 th Wind Energy Conference DEWEK 2010 DIRECTION DEPENDENCY OF OFFSHORE TURBULENCE INTENSITY IN THE GERMAN BIGHT Annette Westerhellweg, Beatriz Canadillas, Thomas Neumann DEWI GmbH, Wilhelmshaven, Germany,

More information

A Comparison of the UK Offshore Wind Resource from the Marine Data Exchange. P. Argyle, S. J. Watson CREST, Loughborough University, UK

A Comparison of the UK Offshore Wind Resource from the Marine Data Exchange. P. Argyle, S. J. Watson CREST, Loughborough University, UK A Comparison of the UK Offshore Wind Resource from the Marine Data Exchange P. Argyle, S. J. Watson CREST, Loughborough University, UK Introduction Offshore wind measurements are scarce and expensive,

More information

Comparison of Geophysical Model Functions for SAR Wind Speed Retrieval in Japanese Coastal Waters

Comparison of Geophysical Model Functions for SAR Wind Speed Retrieval in Japanese Coastal Waters Remote Sens. 2013, 5, 1956-1973; doi:10.3390/rs5041956 Article OPEN ACCESS Remote Sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Comparison of Geophysical Model Functions for SAR Wind Speed

More information

How good are remote sensors at measuring extreme winds?

How good are remote sensors at measuring extreme winds? How good are remote sensors at measuring extreme winds? A. Sathe a,b, M. Courtney b, J.Mann b, R. Wagner b a L& R, Section Wind Energy, TU Delft, Delft, The Netherlands, A.R.Sathe@tudelft.nl b Wind Energy

More information

Wind LiDAR measurement campaign at CESAR Observatory in Cabauw: preliminary results

Wind LiDAR measurement campaign at CESAR Observatory in Cabauw: preliminary results Wind LiDAR measurement campaign at CESAR Observatory in Cabauw: preliminary results Steven Knoop, Willem Koetse, and Fred Bosveld Royal Netherlands Meteorological Institute (KNMI), P.O. Box 201, 3730 AE

More information

PRELIMINARY STUDY ON DEVELOPING AN L-BAND WIND RETRIEVAL MODEL FUNCTION USING ALOS/PALSAR

PRELIMINARY STUDY ON DEVELOPING AN L-BAND WIND RETRIEVAL MODEL FUNCTION USING ALOS/PALSAR PRELIMINARY STUDY ON DEVELOPING AN L-BAND WIND RETRIEVAL MODEL FUNCTION USING ALOS/PALSAR Osamu Isoguchi, Masanobu Shimada Earth Observation Research Center, Japan Aerospace Exploration Agency (JAXA) 2-1-1

More information

Characterization of Boundary-Layer Meteorology During DISCOVER-AQ

Characterization of Boundary-Layer Meteorology During DISCOVER-AQ Characterization of Boundary-Layer Meteorology During DISCOVER-AQ Daniel M. Alrick and Clinton P. MacDonald Sonoma Technology, Inc. Gary A. Morris St. Edward s University for Texas Air Quality Research

More information

USING SATELLITE SAR IN OFFSHORE WIND RESOURCE ASSESSMENT

USING SATELLITE SAR IN OFFSHORE WIND RESOURCE ASSESSMENT USING SATELLITE SAR IN OFFSHORE WIND RESOURCE ASSESSMENT B. R. Furevik (1), C. B. Hasager (2), M. Nielsen (2), T. Hamre (1), B. H. Jørgensen (2), O. Rathmann (2), and O. M. Johannessen (1,3) (1) Nansen

More information

TESTING AND CALIBRATION OF VARIOUS LiDAR REMOTE SENSING DEVICES FOR A 2 YEAR OFFSHORE WIND MEASUREMENT CAMPAIGN

TESTING AND CALIBRATION OF VARIOUS LiDAR REMOTE SENSING DEVICES FOR A 2 YEAR OFFSHORE WIND MEASUREMENT CAMPAIGN TESTING AND CALIBRATION OF VARIOUS LiDAR REMOTE SENSING DEVICES FOR A 2 YEAR OFFSHORE WIND MEASUREMENT CAMPAIGN D Kindler 1 WINDTEST Kaiser Wilhelm Koog detlef.kindler@wtk.windtest.com 1 Corresponding

More information

Review of Equivalent Neutral Winds and Stress

Review of Equivalent Neutral Winds and Stress Review of Equivalent Neutral Winds and Stress Mark A. Bourassa Center for Ocean-Atmospheric Prediction Studies, Geophysical Fluid Dynamics Institute & Department of Earth, Ocean and Atmospheric Science

More information

Geophysical Model Functions for the Retrieval of Ocean Surface Winds

Geophysical Model Functions for the Retrieval of Ocean Surface Winds Geophysical Model Functions for the Retrieval of Ocean Surface Winds Donald R. Thompson and Frank M. Monaldo Johns Hopkins University Applied Physics Laboratory 11100 Johns Hopkins Road, Laurel, MD 20708

More information

Validation of KNW atlas with scatterometer winds (Phase 3 of KNW project)

Validation of KNW atlas with scatterometer winds (Phase 3 of KNW project) Validation of KNW atlas with scatterometer winds (Phase 3 of KNW project) I.L. Wijnant, G.J. Marseille, A. Stoffelen, H.W. van den Brink and A. Stepek De Bilt, 2015 Technical report; TR-353 Validation

More information

Satellite information for wind energy applications

Satellite information for wind energy applications Downloaded from orbit.dtu.dk on: Oct 01, 2018 Satellite information for wind energy applications Nielsen, Morten; Astrup, Poul; Hasager, Charlotte Bay; Barthelmie, R.J.; Pryor, S.C. Publication date: 2004

More information

Validation of Measurements from a ZephIR Lidar

Validation of Measurements from a ZephIR Lidar Validation of Measurements from a ZephIR Lidar Peter Argyle, Simon Watson CREST, Loughborough University, Loughborough, United Kingdom p.argyle@lboro.ac.uk INTRODUCTION Wind farm construction projects

More information

Spectral analysis of wind turbulence measured by a Doppler Lidar for velocity fine structure and coherence studies

Spectral analysis of wind turbulence measured by a Doppler Lidar for velocity fine structure and coherence studies Downloaded from orbit.dtu.dk on: Dec 23, 218 Spectral analysis of wind turbulence measured by a Doppler Lidar for velocity fine structure and coherence studies Sjöholm, Mikael; Mikkelsen, Torben Krogh;

More information

OCEAN vector winds from the SeaWinds instrument have

OCEAN vector winds from the SeaWinds instrument have IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 6, NO. 3, JULY 2009 413 Coastal Validation of Ultra-High Resolution Wind Vector Retrieval From QuikSCAT in the Gulf of Maine A. M. Plagge, Student Member,

More information

Conditions for Offshore Wind Energy Use

Conditions for Offshore Wind Energy Use Carl von Ossietzky Universität Oldenburg Institute of Physics Energy Meteorology Group Detlev Heinemann Conditions for Offshore Wind Energy Use Detlev Heinemann ForWind Carl von Ossietzky Universität Oldenburg

More information

Study of the UK offshore wind resource: preliminary results from the first stage of the SUPERGEN Wind 2 project resource assessment

Study of the UK offshore wind resource: preliminary results from the first stage of the SUPERGEN Wind 2 project resource assessment Loughborough University Institutional Repository Study of the UK offshore wind resource: preliminary results from the first stage of the SUPERGEN Wind 2 project resource assessment This item was submitted

More information

MULTI-WTG PERFORMANCE OFFSHORE, USING A SINGLE SCANNING DOPPLER LIDAR

MULTI-WTG PERFORMANCE OFFSHORE, USING A SINGLE SCANNING DOPPLER LIDAR MULTI-WTG PERFORMANCE OFFSHORE, USING A SINGLE SCANNING DOPPLER LIDAR Rémi Gandoin 1, Benny Svardal 2, Valerie Kumer 3, Raghavendra Krishna Murthy 4, Matthieu Boquet 4 1 DONG Energy Wind Power (DK) remga@dongenergy.dk

More information

A Comparison of sector-scan and dual Doppler wind measurements at Høvsøre Test Station one lidar or two?

A Comparison of sector-scan and dual Doppler wind measurements at Høvsøre Test Station one lidar or two? Downloaded from orbit.dtu.dk on: Jan 28, 2019 A Comparison of sector-scan and dual Doppler wind measurements at Høvsøre Test Station one lidar or two? Simon, Elliot; Courtney, Michael Publication date:

More information

PROJECT CYCLOPS: THE WAY FORWARD IN POWER CURVE MEASUREMENTS?

PROJECT CYCLOPS: THE WAY FORWARD IN POWER CURVE MEASUREMENTS? Title Authors: Organisation PROJECT CYCLOPS: THE WAY FORWARD IN POWER CURVE MEASUREMENTS? Simon Feeney(1), Alan Derrick(1), Alastair Oram(1), Iain Campbell(1), Gail Hutton(1), Greg Powles(1), Chris Slinger(2),

More information

ON THE USE OF DOPPLER SHIFT FOR SAR WIND RETRIEVAL

ON THE USE OF DOPPLER SHIFT FOR SAR WIND RETRIEVAL ON THE USE OF DOPPLER SHIFT FOR SAR WIND RETRIEVAL K-F. Dagestad 1, A. Mouche 2, F. Collard 2, M. W. Hansen 1 and J. Johannessen 1 (1) Nansen Environmental and Remote Censing Center, Thormohlens gt 47,

More information

High Resolution Sea Surface Roughness and Wind Speed with Space Lidar (CALIPSO)

High Resolution Sea Surface Roughness and Wind Speed with Space Lidar (CALIPSO) High Resolution Sea Surface Roughness and Wind Speed with Space Lidar (CALIPSO) Yongxiang Hu NASA Langley Research Center Carl Weimer Ball Aerospace Corp. 1 CALIPSO Mission Overview CALIPSO seeks to improve

More information

Offshore wind power in European Seas consists of. Offshore winds mapped from satellite remote sensing. Charlotte Bay Hasager INTRODUCTION

Offshore wind power in European Seas consists of. Offshore winds mapped from satellite remote sensing. Charlotte Bay Hasager INTRODUCTION Overview Offshore winds mapped from satellite remote sensing Charlotte Bay Hasager Around 2000 wind turbines in 58 offshore wind farms produce wind energy in the Northern European seas and many new wind

More information

Investigation on Atmospheric Boundary Layers: Field Monitoring and Wind Tunnel Simulation

Investigation on Atmospheric Boundary Layers: Field Monitoring and Wind Tunnel Simulation Investigation on Atmospheric Boundary Layers: Field Monitoring and Wind Tunnel Simulation Chii-Ming Cheng 1, 2, Ming-Shu Tsai 2, Yuan-Lung Lo 1, 2, Chun-Han Wang 2 1 Department of Civil Engineering, Tamkang

More information

SPATIAL AND TEMPORAL VARIATIONS OF INTERNAL WAVES IN THE NORTHERN SOUTH CHINA SEA

SPATIAL AND TEMPORAL VARIATIONS OF INTERNAL WAVES IN THE NORTHERN SOUTH CHINA SEA SPATIAL AND TEMPORAL VARIATIONS OF INTERNAL WAVES IN THE NORTHERN SOUTH CHINA SEA Weigen Huang (1), Johnny Johannessen (2,3), Werner Alpers (4) Jingsong Yang (1), Xilin Gan (1) (1) Second Institute of

More information

On- and Offshore Assessment of the ZephIR Wind-LiDAR

On- and Offshore Assessment of the ZephIR Wind-LiDAR On- and Offshore Assessment of the ZephIR Wind-LiDAR Detlef Kindler Kaiser-Wilhelm-Koog GmbH Andy Oldroyd Oldbaum Services Ltd. IEA R&D Task 11, Wind Energy 51 st Topical Expert Meeting on Remote Sensing

More information

Wind measurements that reduce electricity prices

Wind measurements that reduce electricity prices Wind measurements that reduce electricity prices Extensive testing in three countries has proven that laser measurements of wind provide precise, reliable wind data. The research findings will make it

More information

ERS WAVE MISSION REPROCESSING- QC SUPPORT ENVISAT MISSION EXTENSION SUPPORT

ERS WAVE MISSION REPROCESSING- QC SUPPORT ENVISAT MISSION EXTENSION SUPPORT REPORT 8/2011 ISBN 978-82-7492-248-8 ISSN 1890-5218 ERS WAVE MISSION REPROCESSING- QC SUPPORT ENVISAT MISSION EXTENSION SUPPORT - Annual Report 2010 Author (s): Harald Johnsen (Norut), Fabrice Collard

More information

Using several data sources for offshore wind resource assessment

Using several data sources for offshore wind resource assessment Author manuscript, published in ", Copenhagen : Denmark (2005)" Ben Ticha M. B., Ranchin T., Wald L., Using several data sources for offshore wind resource assessment, 2005, Using several data sources

More information

The carbon cycle from north to south along the Galathea 3 route

The carbon cycle from north to south along the Galathea 3 route Downloaded from orbit.dtu.dk on: Dec 16, 2017 The carbon cycle from north to south along the Galathea 3 route Badger, Merete; Sørensen, Lise Lotte; Nissen, Jesper Nielsen; Hasager, Charlotte Bay Published

More information

Radar Remote Sensing of Waves and Currents in the Nearshore Zone

Radar Remote Sensing of Waves and Currents in the Nearshore Zone Radar Remote Sensing of Waves and Currents in the Nearshore Zone Stephen J. Frasier Microwave Remote Sensing Laboratory Knowles Engineering Bldg., Rm. 113A University of Massachusetts Amherst, MA 01003

More information

EMPOWERING OFFSHORE WINDFARMS BY RELIABLE MEASUREMENTS

EMPOWERING OFFSHORE WINDFARMS BY RELIABLE MEASUREMENTS EMPOWERING OFFSHORE WINDFARMS BY RELIABLE MEASUREMENTS Joerg Bendfeld University of Paderborn Fakultät Elektrotechnik, Mathematik und Informatik Lehrstuhl für Elektrische Energietechnik Pohlweg 55 D-33014

More information

Remote sensing standards: their current status and significance for offshore projects

Remote sensing standards: their current status and significance for offshore projects Remote sensing standards: their current status and significance for offshore projects Peter J M Clive Technical Development Consultant SgurrEnergy Ltd 225 Bath Street Glasgow G2 4GZ E: peter.clive@sgurrenergy.com

More information

Remote Sensing for Wind Energy

Remote Sensing for Wind Energy Downloaded from orbit.dtu.dk on: Sep 03, 2018 Remote Sensing for Wind Energy Pena Diaz, Alfredo; Hasager, Charlotte Bay; Lange, Julia; Anger, Jan; Badger, Merete; Bingöl, Ferhat; Bischoff, Oliver; Cariou,

More information

Constraining a global, eddying, ocean and sea ice model with scatterometer data

Constraining a global, eddying, ocean and sea ice model with scatterometer data Constraining a global, eddying, ocean and sea ice model with scatterometer data D. Menemenlis, H. Zhang, D. Moroni, and S. Hristova-Veleva IOVWST, Utrecht, Netherlands, 13 June 2012 QuikSCAT GRACE =? Jason

More information

THE POLARIMETRIC CHARACTERISTICS OF BOTTOM TOPOGRAPHY RELATED FEATURES ON SAR IMAGES

THE POLARIMETRIC CHARACTERISTICS OF BOTTOM TOPOGRAPHY RELATED FEATURES ON SAR IMAGES THE POLARIMETRIC CHARACTERISTICS OF BOTTOM TOPOGRAPHY RELATED FEATURES ON SAR IMAGES Taerim Kim Professor, Ocean System Eng. Dept. Kunsan University Miryong Dong San 68, Kunsan, Jeonbuk, Korea, trkim@kunsan.ac.kr

More information

Reprocessed QuikSCAT (V04) Wind Vectors with Ku-2011 Geophysical Model Function

Reprocessed QuikSCAT (V04) Wind Vectors with Ku-2011 Geophysical Model Function Reprocessed QuikSCAT (V04) Wind Vectors with Ku-2011 Geophysical Model Function Lucrezia Ricciardulli and Frank Wentz Introduction In April 2011, we reprocessed the QuikSCAT ocean wind vectors using a

More information

Low level coastal jet

Low level coastal jet MetOcean analysis of a low-level coastal jet off the Norwegian coast. EERA DeepWind'2014 Deep Sea Offshore Wind R&D Conference, Trondheim, 22-24 January 2014 Harokopio University Konstantinos Christakos,

More information

Challenges in simulating coastal effects on an offshore wind farm

Challenges in simulating coastal effects on an offshore wind farm Journal of Physics: Conference Series PAPER OPEN ACCESS Challenges in simulating coastal effects on an offshore wind farm To cite this article: M. P. van der Laan et al 2017 J. Phys.: Conf. Ser. 854 012046

More information

Importance of thermal effects and sea surface roughness for offshore wind resource assessment

Importance of thermal effects and sea surface roughness for offshore wind resource assessment Downloaded from orbit.dtu.dk on: Sep 09, 2018 Importance of thermal effects and sea surface roughness for offshore wind resource assessment Lange, B.; Larsen, Søren Ejling; Højstrup, Jørgen; Barthelmie,

More information

Wind shear and its effect on wind turbine noise assessment Report by David McLaughlin MIOA, of SgurrEnergy

Wind shear and its effect on wind turbine noise assessment Report by David McLaughlin MIOA, of SgurrEnergy Wind shear and its effect on wind turbine noise assessment Report by David McLaughlin MIOA, of SgurrEnergy Motivation Wind shear is widely misunderstood in the context of noise assessments. Bowdler et

More information

The Ice Contamination Ratio Method: Accurately Retrieving Ocean Winds Closer to the Sea Ice Edge While Eliminating Ice Winds

The Ice Contamination Ratio Method: Accurately Retrieving Ocean Winds Closer to the Sea Ice Edge While Eliminating Ice Winds The Ice Contamination Ratio Method: Accurately Retrieving Ocean Winds Closer to the Sea Ice Edge While Eliminating Ice Winds David Long Department of Electrical and Computer Engineering Brigham Young University

More information

Preparation of the ADM-Aeolus mission using 355nm high spectral resolution Doppler LIDAR and a Doppler cloud radar

Preparation of the ADM-Aeolus mission using 355nm high spectral resolution Doppler LIDAR and a Doppler cloud radar Preparation of the ADM-Aeolus mission using 355nm high spectral resolution Doppler LIDAR and a Doppler cloud radar Abdanour Irbah*, Jacques Pelon*, Julien Delanoë*, Gwendal Rivière +, Didier Bruneau*,

More information

High resolution wind retrieval for SeaWinds

High resolution wind retrieval for SeaWinds High resolution wind retrieval for SeaWinds David G. Long and Jeremy B. Luke Brigham Young University, 459 Clyde Building, Provo, UT 84602, USA ABSTRACT The SeaWinds instrument on the QuikSCAT satellite

More information

Fuga. - Validating a wake model for offshore wind farms. Søren Ott, Morten Nielsen & Kurt Shaldemose Hansen

Fuga. - Validating a wake model for offshore wind farms. Søren Ott, Morten Nielsen & Kurt Shaldemose Hansen Fuga - Validating a wake model for offshore wind farms Søren Ott, Morten Nielsen & Kurt Shaldemose Hansen 28-06- Outline What is Fuga? Model validation: which assumptions are tested? Met data interpretation:

More information

Measurement of Coastal & Littoral Toxic Material Tracer Dispersion. Dr. Robert E. Marshall T41 NSWCDD

Measurement of Coastal & Littoral Toxic Material Tracer Dispersion. Dr. Robert E. Marshall T41 NSWCDD Measurement of Coastal & Littoral Toxic Material Tracer Dispersion Dr. Robert E. Marshall robert.e.marshall@navy.mil T41 NSWCDD Mouth of the Piankatank River Chesapeake Bay Model this for CB defense? Ground

More information

THE QUALITY OF THE ASCAT 12.5 KM WIND PRODUCT

THE QUALITY OF THE ASCAT 12.5 KM WIND PRODUCT THE QUALITY OF THE ASCAT 12.5 KM WIND PRODUCT Jur Vogelzang, Ad Stoffelen, Maria Belmonte, Anton Verhoef, and Jeroen Verspeek Royal Netherlands Meteorological Institute, Wilhelminalaan 10, 3732 GK, De

More information

Satellite information on ocean vector wind from Scatterometer data. Giovanna De Chiara

Satellite information on ocean vector wind from Scatterometer data. Giovanna De Chiara Satellite information on ocean vector wind from Scatterometer data Giovanna De Chiara Why is Scatterometer important? The scatterometer measures the ocean surface winds (ocean wind vector). Ocean surface

More information

IMPROVEMENT OF THE WIND FARM MODEL FLAP FOR OFFSHORE APPLICATIONS

IMPROVEMENT OF THE WIND FARM MODEL FLAP FOR OFFSHORE APPLICATIONS IMPROVEMENT OF THE WIND FARM MODEL FLAP FOR OFFSHORE APPLICATIONS Bernhard Lange(1), Hans-Peter Waldl(1)(2), Rebecca Barthelmie(3), Algert Gil Guerrero(1)(4), Detlev Heinemann(1) (1) Dept. of Energy and

More information

Swell (wind) fields obtained from Satellite Observation CLS Christian Ortega - Mission blue Journées Annuelles des Hydrocarbures 2013

Swell (wind) fields obtained from Satellite Observation CLS Christian Ortega - Mission blue Journées Annuelles des Hydrocarbures 2013 Swell (wind) fields obtained from Satellite Observation CLS Christian Ortega - cortega@cls.fr Mission blue Journées Annuelles des Hydrocarbures 2013 Purpose Develop new methodologies to obtain swell (wind)

More information

Offshore vertical wind shear: Final report on NORSEWInD s work task 3.1

Offshore vertical wind shear: Final report on NORSEWInD s work task 3.1 Downloaded from orbit.dtu.dk on: Apr 3, 218 Offshore vertical wind shear: Final report on NORSEWInD s work task 3.1 Pena Diaz, Alfredo; Mikkelsen, Torben Krogh; Gryning, Sven-Erik; Hasager, Charlotte Bay;

More information

Wind resource assessment over a complex terrain covered by forest using CFD simulations of neutral atmospheric boundary layer with OpenFOAM

Wind resource assessment over a complex terrain covered by forest using CFD simulations of neutral atmospheric boundary layer with OpenFOAM Wind resource assessment over a complex terrain covered by forest using CFD simulations of neutral atmospheric boundary layer with OpenFOAM Nikolaos Stergiannis nstergiannis.com nikolaos.stergiannis@vub.ac.be

More information

Flow separation and lee-waves in the marine atmosphere

Flow separation and lee-waves in the marine atmosphere Flow separation and lee-waves in the marine atmosphere Det norske Videnskabs-Akademi 16 Oct. 2009 Bjørn Gjevik Universitetet i Oslo epost: bjorng@math.uio.no Flow separation and lee-waves in the marine

More information

Stefan Emeis

Stefan Emeis The Physics of Wind Park Optimization Stefan Emeis stefan.emeis@kit.edu INSTITUTE OF METEOROLOGY AND CLIMATE RESEARCH, Photo: Vattenfall/C. Steiness KIT University of the State of Baden-Wuerttemberg and

More information

Offshore Wind Turbine Wake Characterization using Scanning Doppler Lidar

Offshore Wind Turbine Wake Characterization using Scanning Doppler Lidar Offshore Wind Turbine Wake Characterization using Scanning Doppler Lidar R. Krishnamurthy a, J. Reuder b, B. Svardal c, H.J.S. Fernando a, J. B. Jakobsen d a University of Notre-Dame, Notre-Dame, Indiana

More information

The Sea surface KInematics Multiscale (SKIM)

The Sea surface KInematics Multiscale (SKIM) The Sea surface KInematics Multiscale () proposal for ESA EE9 the team : https://www.facebook.com/4ee9 http://tinyurl.com/onrg http://www.umr-lops.fr/projets/projets-actifs/ 14 years of Doppler oceanography:

More information

12MW Horns Rev experiment

12MW Horns Rev experiment Downloaded from orbit.dtu.dk on: Nov 14, 018 1MW Horns Rev experiment Hasager, Charlotte Bay; Peña, A.; Mikkelsen, Torben Krogh; Courtney, Michael; Antoniou, Ioannis; Gryning, Sven-Erik; Hansen, Per; Sørensen,

More information

Comparison of flow models

Comparison of flow models Comparison of flow models Rémi Gandoin (remga@dongenergy.dk) March 21st, 2011 Agenda 1. Presentation of DONG Energy 2. Today's presentation 1. Introduction 2. Purpose 3. Methods 4. Results 3. Discussion

More information

Investigating Wind Flow properties in Complex Terrain using 3 Lidars and a Meteorological Mast. Dimitri Foussekis

Investigating Wind Flow properties in Complex Terrain using 3 Lidars and a Meteorological Mast. Dimitri Foussekis Investigating Wind Flow properties in Complex Terrain using Lidars and a Meteorological Mast Dimitri Foussekis Centre for Renewable Energy Sources (C.R.E.S.), Wind Energy Dept., 9th km Marathonos Ave.,

More information

Gijs de Boer*, Gregory J. Tripoli, and Edwin W. Eloranta University of Wisconsin Madison, Madison, Wisconsin

Gijs de Boer*, Gregory J. Tripoli, and Edwin W. Eloranta University of Wisconsin Madison, Madison, Wisconsin 2.3 SMALL SCALE SIMULATION AND LIDAR VALIDATION OF A SHALLOW LAND BREEZE FRONT Gijs de Boer*, Gregory J. Tripoli, and Edwin W. Eloranta University of Wisconsin Madison, Madison, Wisconsin 1. INTRODUCTION

More information

CHANGE OF THE BRIGHTNESS TEMPERATURE IN THE MICROWAVE REGION DUE TO THE RELATIVE WIND DIRECTION

CHANGE OF THE BRIGHTNESS TEMPERATURE IN THE MICROWAVE REGION DUE TO THE RELATIVE WIND DIRECTION JP4.12 CHANGE OF THE BRIGHTNESS TEMPERATURE IN THE MICROWAVE REGION DUE TO THE RELATIVE WIND DIRECTION Masanori Konda* Department of Geophysics, Graduate School of Science, Kyoto University, Japan Akira

More information

Coherence of turbulent wind at FINO1

Coherence of turbulent wind at FINO1 Coherence of turbulent wind at FINO1 Charlotte Obhrai, University of Stavanger, charlotte.obhrai@uis.no University of Stavanger uis.no 4/5/2016 1 Overview Motivation Data selection Results Conclusion 2

More information

WaMoS II Wave Monitoring System

WaMoS II Wave Monitoring System WaMoS II Wave Monitoring System - An application of WaMoS II at Duck - Katrin Hessner, K. Reichert, J. Dannenberg OceanWaveS GmbH, Germany Kent Hathaway, Don Resio Engineering Research Development Center

More information

Validation of measurements from a ZephIR Lidar

Validation of measurements from a ZephIR Lidar Loughborough University Institutional Repository Validation of measurements from a ZephIR Lidar This item was submitted to Loughborough University's Institutional Repository by the/an author. Citation:

More information

High resolution wind fields over the Black Sea derived from Envisat ASAR data using an advanced wind retrieval algorithm

High resolution wind fields over the Black Sea derived from Envisat ASAR data using an advanced wind retrieval algorithm High resolution wind fields over the Black Sea derived from Envisat ASAR data using an advanced wind retrieval algorithm Werner Alpers (1), Alexis Mouche (2), Andrei Yu. Ivanov (3), and Burghard Brümmer

More information

SENSOR SYNERGY OF ACTIVE AND PASSIVE MICROWAVE INSTRUMENTS FOR OBSERVATIONS OF MARINE SURFACE WINDS

SENSOR SYNERGY OF ACTIVE AND PASSIVE MICROWAVE INSTRUMENTS FOR OBSERVATIONS OF MARINE SURFACE WINDS SENSOR SYNERGY OF ACTIVE AND PASSIVE MICROWAVE INSTRUMENTS FOR OBSERVATIONS OF MARINE SURFACE WINDS N. Ebuchi Institute of Low Temperature Science, Hokkaido University, N19-W8, Kita-ku, Sapporo 060-0819,

More information

Supplement of Wind turbine power production and annual energy production depend on atmospheric stability and turbulence

Supplement of Wind turbine power production and annual energy production depend on atmospheric stability and turbulence Supplement of Wind Energ. Sci., 1, 221 236, 2016 http://www.wind-energ-sci.net/1/221/2016/ doi:10.5194/wes-1-221-2016-supplement Author(s) 2016. CC Attribution 3.0 License. Supplement of Wind turbine power

More information

EVALUATION OF ENVISAT ASAR WAVE MODE RETRIEVAL ALGORITHMS FOR SEA-STATE FORECASTING AND WAVE CLIMATE ASSESSMENT

EVALUATION OF ENVISAT ASAR WAVE MODE RETRIEVAL ALGORITHMS FOR SEA-STATE FORECASTING AND WAVE CLIMATE ASSESSMENT EVALUATION OF ENVISAT ASAR WAVE MODE RETRIEVAL ALGORITHMS FOR SEA-STATE FORECASTING AND WAVE CLIMATE ASSESSMENT F.J. Melger ARGOSS, P.O. Box 61, 8335 ZH Vollenhove, the Netherlands, Email: info@argoss.nl

More information

Idealized WRF model sensitivity simulations of sea breeze types and their effects on offshore windfields: Supplementary material

Idealized WRF model sensitivity simulations of sea breeze types and their effects on offshore windfields: Supplementary material Idealized WRF model sensitivity simulations of sea breeze types and their effects on offshore windfields: Supplementary material Authors: C. J. Steele, S. R. Dorling, R. von Glasow and J. Bacon Synoptic

More information

EERA DTOC wake results offshore

EERA DTOC wake results offshore EERA DTOC wake results offshore Charlotte Hasager, Kurt Schaldemose Hansen, Pierre-Elouan Réthoré, Søren Ott, Jake Badger, Gerard Schepers, Ole Rathmann, Elena Cantero, Giorgos Sieros, Takis Chaviaropoulos,

More information

Climate-Quality Intercalibration of Scatterometer Missions

Climate-Quality Intercalibration of Scatterometer Missions Climate-Quality Intercalibration of Scatterometer Missions Lucrezia Ricciardulli and Frank Wentz Remote Sensing Systems, Santa Rosa, California IOVWST meeting Sapporo, Japan, May 2016 Photo Courtesy: 1

More information

Dr S.Gomathinayagam Executive Director CWET, Chennai, India. web: cwet.res.in

Dr S.Gomathinayagam Executive Director CWET, Chennai, India. web: cwet.res.in Dr S.Gomathinayagam Executive Director CWET, Chennai, India ed@cwet.res.in web: cwet.res.in Advantages of Offshore over Onshore Advantages of Offshore over Onshore SPECIALIST SERVICES TO THE OFFSHORE WIND

More information

IMPROVED OIL SLICK IDENTIFICATION USING CMOD5 MODEL FOR WIND SPEED EVALUATION ON SAR IMAGES

IMPROVED OIL SLICK IDENTIFICATION USING CMOD5 MODEL FOR WIND SPEED EVALUATION ON SAR IMAGES IMPROVED OIL SLICK IDENTIFICATION USING CMOD5 MODEL FOR WIND SPEED EVALUATION ON SAR IMAGES H.KHENOUCHI & Y. SMARA University of Sciences and Technology Houari Boumediene (USTHB). Faculty of Electronics

More information