{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:55:33Z","timestamp":1760151333886,"version":"build-2065373602"},"reference-count":52,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2022,3,15]],"date-time":"2022-03-15T00:00:00Z","timestamp":1647302400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["860879"],"award-info":[{"award-number":["860879"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This article highlights the inter-comparisons of the wind measurement techniques available in deep water areas working towards combining them to obtain optimal estimates of the wind power potential. More specifically, this article presents comparisons of the Ferry Lidar Experiment wind data with those of the Advanced Scatterometer (ASCAT), the FINO2 meteorological mast, and the New European Wind Atlas (NEWA) simulations performed using the Weather Research, and Forecasting (WRF) mesoscale model. To be comparable to ASCAT surface winds, which are referenced at 10 m, the ferry lidar and FINO2 wind profile measurements were extrapolated down to 10 m using atmospheric stability information derived from the bulk Richardson number formulation. ASCAT had the lowest associated error compared with that of the ferry lidar in near-neutral atmospheric stratifications, whereas FINO2, despite a distance range of 30 km and a moving ferry lidar target, had the highest correlation and lowest RMSE in all atmospheric conditions. Due to the high frequency of low-level jets caused by the proximity to land from all directions as well as typically stable atmospheric conditions, the extrapolated ferry lidar measurements underpredicted the ASCAT 10 m wind speeds. WRF consistently underperformed compared to the other measurement methods, even with the ability to directly compare results with all other sources at all heights.<\/jats:p>","DOI":"10.3390\/rs14061427","type":"journal-article","created":{"date-parts":[[2022,3,16]],"date-time":"2022-03-16T03:36:23Z","timestamp":1647401783000},"page":"1427","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Comparing Offshore Ferry Lidar Measurements in the Southern Baltic Sea with ASCAT, FINO2 and WRF"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5576-6669","authenticated-orcid":false,"given":"Daniel","family":"Hatfield","sequence":"first","affiliation":[{"name":"Department of Wind Energy, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, Denmark"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2124-5651","authenticated-orcid":false,"given":"Charlotte Bay","family":"Hasager","sequence":"additional","affiliation":[{"name":"Department of Wind Energy, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, Denmark"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8695-7190","authenticated-orcid":false,"given":"Ioanna","family":"Karagali","sequence":"additional","affiliation":[{"name":"Danmarks Meteorologiske Institut, Lyngbyvej 100, 2100 Copenhagen, Denmark"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,15]]},"reference":[{"key":"ref_1","unstructured":"European Commission (2020). An EU Strategy to Harness the Potential of Offshore Renewable Energy for a Climate Neutral Future, European Commission."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1002\/wene.30","article-title":"Offshore wind\u2014An overview","volume":"2","author":"MacAskill","year":"2013","journal-title":"WIREs Energy Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1105","DOI":"10.1002\/we.1750","article-title":"Analysis of measurements and simulations from the Hywind Demo floating wind turbine","volume":"18","author":"Skaare","year":"2015","journal-title":"Wind Energy"},{"key":"ref_4","unstructured":"Leiding, T., Tinz, B., Gates, L., Rosenhagen, G., Herklotz, K., Senet, C., Outzen, O., Lindenthal, A., Neumann, T., and Fr\u00fchman, R. (2016). Standardisierung und Vergleichende Analyse der Meteorologischen FINO-Messdaten (FINO123), Deutscher Wetterdienst. Technical Report."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Clifton, A., Boquet, M., Burin Des Roziers, E., Westerhellweg, A., Hofsass, M., Klaas, T., Vogstad, K., Clive, P., Harris, M., and Wylie, S. (2015). Remote Sensing of Complex Flows by Doppler Wind Lidar: Issues and Preliminary Recommendations, National Renewable Energy Lab. (NREL).","DOI":"10.2172\/1351595"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"e250","DOI":"10.1002\/wene.250","article-title":"Floating lidar as an advanced offshore wind speed measurement technique: Current technology status and gap analysis in regard to full maturity","volume":"6","author":"Gottschall","year":"2017","journal-title":"WIREs Energy Environ."},{"key":"ref_7","unstructured":"Smith, M. (2012). An insight into lidars for offshore wind measurements. Deepwind 2012, Natural Power."},{"key":"ref_8","unstructured":"Bischoff, O., W\u00fcrth, I., Gottschall, J., Gribben, B., Hughes, J., Stein, D., and Verhoef, H. (2017). IEA Wind Annex 32 Work Package 1.5 Expert Group Report on Recommended Practices: 18. Floating Lidar Systems, University of Stuttgart. Issue 1.0."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1016\/j.egypro.2014.07.223","article-title":"First Verification Test and Wake Measurement Results Using a SHIP-LIDAR System","volume":"53","author":"Gottschall","year":"2014","journal-title":"Energy Procedia"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1175\/1520-0426(1998)015<0547:DCFEFM>2.0.CO;2","article-title":"Direct Covariance Flux Estimates from Mobile Platforms at Sea","volume":"15","author":"Edson","year":"1998","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_11","unstructured":"Strobach, E.J., and Sparling, L.C. (2017). The Impact of Coastal Terrain on Offshore Wind and Implications for Wind Energy. [Ph.D. Thesis, University of Maryland]."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Gottschall, J., Catalano, E., D\u00f6renk\u00e4mper, M., and Witha, B. (2018). The NEWA Ferry Lidar Experiment: Measuring mesoscalewinds in the Southern Baltic Sea. Remote Sens., 10.","DOI":"10.3390\/rs10101620"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"5781","DOI":"10.5194\/amt-11-5781-2018","article-title":"Analysis of the performance of a ship-borne scanning wind lidar in the Arctic and Antarctic","volume":"11","author":"Zentek","year":"2018","journal-title":"Atmos. Meas. Tech."},{"key":"ref_14","unstructured":"Witha, B., Hahmann, A., Sile, T., D\u00f6renk\u00e4mper, M., Ezber, Y., Garc\u00eda-Bustamante, E., Gonz\u00e1lez-Rouco, J.F., Leroy, G., and Navarro, J. (2019). WRF Model Sensitivity Studies and Specifications for the NEWA Mesoscale Wind Atlas Production Runs, Zenodo."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"3465","DOI":"10.1016\/j.jcp.2007.01.037","article-title":"A time-split nonhydrostatic atmospheric model for weather research and forecasting applications","volume":"227","author":"Skamarock","year":"2008","journal-title":"J. Comput. Phys."},{"key":"ref_16","unstructured":"Gonz\u00e1lez-Rouco, J., Bustamante, E., Hahmann, A., Karagili, I., Navarro, J., Olsen, B., Sile, T., and Witha, B. (2019). NEWA Report on Uncertainty Quantification Deliverable D4.4, Zenodo. NEWA\u2014New European Wind Atlas."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"831","DOI":"10.5194\/os-15-831-2019","article-title":"Characterizing ERA-Interim and ERA5 surface wind biases using ASCAT","volume":"15","author":"Stoffelen","year":"2019","journal-title":"Ocean Sci."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Karagali, I., Badger, M., and Hasager, C. (2021, January 11\u201316). Spaceborne Earth Observation for Offshore Wind Energy Applications. Proceedings of the 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium.","DOI":"10.1109\/IGARSS47720.2021.9553100"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1175\/JAMC-D-15-0197.1","article-title":"Extrapolating satellite winds to turbine operating heights","volume":"55","author":"Badger","year":"2016","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"052007","DOI":"10.1088\/1742-6596\/1037\/5\/052007","article-title":"Offshore new European wind atlas","volume":"1037","author":"Karagali","year":"2018","journal-title":"J. Phys. Conf. Ser."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"375","DOI":"10.5194\/wes-5-375-2020","article-title":"Europe\u2019s offshore winds assessed with synthetic aperture radar, ASCAT and WRF","volume":"5","author":"Hasager","year":"2020","journal-title":"Wind Energy Sci."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1007\/s10546-010-9509-9","article-title":"Long-Term Mean Wind Profiles Based on Similarity Theory","volume":"136","author":"Kelly","year":"2010","journal-title":"Bound.-Layer Meteorol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1007\/s10712-008-9050-2","article-title":"Review of Methodologies for Offshore Wind Resource Assessment in European Seas","volume":"29","author":"Sempreviva","year":"2008","journal-title":"Surv. Geophys."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1091","DOI":"10.1029\/96JC02782","article-title":"Evolution of stable internal boundary layers over a cold sea","volume":"102","author":"Smedman","year":"1997","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1007\/s10546-015-0008-x","article-title":"On the Offshore Advection of Boundary-Layer Structures and the Influence on Offshore Wind Conditions","volume":"155","author":"Optis","year":"2015","journal-title":"Bound.-Layer Meteorol."},{"key":"ref_26","unstructured":"Svensson, N. (2018). Mesoscale Processes over the Baltic Sea. [Ph.D. Thesis, Uppsala Universitet]."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"117","DOI":"10.3390\/rs3010117","article-title":"SAR-Based Wind Resource Statistics in the Baltic Sea","volume":"3","author":"Hasager","year":"2011","journal-title":"Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"229","DOI":"10.5697\/oc.53-1-TI.229","article-title":"A comparison of ASCAT wind measurements and the HIRLAM model over the Baltic Sea","volume":"53","year":"2011","journal-title":"Oceanologia"},{"key":"ref_29","unstructured":"Catalano, E. (2017). Assessment of Offshore Wind Resources through Measurements from a Ship-Based LiDAR System. [Master\u2019s Thesis, University of Genoa]."},{"key":"ref_30","unstructured":"Worsfold, M., Good, S., Martin, M., Mclaren, A., and Fiedler, E. (2021). Global Ocean OSTIA Sea Surface Temperature Reprocessing, SST-GLO-SST-L4-REP-OBSERVATIONS-010-011, Copernicus Marine Service. Technical Report 1.3."},{"key":"ref_31","unstructured":"Verhoef, A., and Stoffelen, A. (2019). EUMETSAT Advanced Retransmission Service ASCAT Wind Product User Manual, EUMETSAT. Technical Report October."},{"key":"ref_32","unstructured":"Stoffelen, A. (1996). Error Modelling of Scatterometer In-Situ, and ECMWF Model Winds: A Calibration Refinement, Koninklijk Nederlands Meteorologisch Instituut (KNMI). Technical Report."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Martin, S. (2014). An Introduction to Ocean Remote Sensing, Cambridge University Press. [2nd ed.].","DOI":"10.1017\/CBO9781139094368"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0074-6142(01)80146-7","article-title":"Chapter 1 Satellite Altimetry","volume":"69","author":"Chelton","year":"2001","journal-title":"Int. Geophys."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2123","DOI":"10.1109\/JSTARS.2017.2681806","article-title":"The CMOD7 Geophysical Model Function for ASCAT and ERS Wind Retrievals","volume":"10","author":"Stoffelen","year":"2017","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_36","unstructured":"Verhoef, A., and Stoffelen, A. (2019). Algorithm Theoretical Basis Document for the OSI SAF Wind Products, EUMETSAT. Technical Report."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1175\/1520-0450(1997)036<0406:DOTMOS>2.0.CO;2","article-title":"Dependence of the Monin\u2013Obukhov Stability Parameter on the Bulk Richardson Number over the Ocean","volume":"36","author":"Grachev","year":"1997","journal-title":"J. Appl. Meteorol."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Emeis, S. (2018). Wind Energy Meteorology: Atmospheric Physics for Wind Power Generation, Green Energy and Technology; Springer. [2nd ed.].","DOI":"10.1007\/978-3-319-72859-9"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"857","DOI":"10.1175\/1520-0450(1970)009<0857:TMROWS>2.0.CO;2","article-title":"The mathematical representation of wind speed and temperature profiles in the unstable atmospheric surface layer","volume":"9","author":"Paulson","year":"1970","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"H\u00f6gstr\u00f6m, U. (1988). Non-dimensional wind and temperature profiles in the atmospheric surface layer: A re-evaluation. Topics in Micrometeorology. A Festschrift for Arch Dyer, Springer.","DOI":"10.1007\/978-94-009-2935-7_6"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1002\/we.1565","article-title":"Wind characteristics in the North and Baltic Seas from the QuikSCAT satellite","volume":"17","author":"Karagali","year":"2014","journal-title":"Wind Energy"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1007\/s10546-010-9482-3","article-title":"An evaluation of the flux-gradient relationship in the stable boundary layer","volume":"135","author":"Sorbjan","year":"2010","journal-title":"Bound.-Layer Meteorol."},{"key":"ref_43","unstructured":"Pe\u00f1a, A., Hahmann, A., Hasager, C., Bing\u00f6l, F., Karagali, I., and Badger, J. (2011). South Baltic Wind Atlas: South Baltic Offshore Wind Energy Regions Project, Ris\u00f8-Report. Technical Report."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1627","DOI":"10.1175\/2009JAMC1965.1","article-title":"A Climatology of Nocturnal Low-Level Jets at Cabauw","volume":"48","author":"Baas","year":"2009","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"935","DOI":"10.5194\/wes-6-935-2021","article-title":"New methods to improve the vertical extrapolation of near-surface offshore wind speeds","volume":"6","author":"Optis","year":"2021","journal-title":"Wind Energy Sci."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1007\/s10546-014-9953-z","article-title":"Moving Beyond Monin\u2013Obukhov Similarity Theory in Modelling Wind-Speed Profiles in the Lower Atmospheric Boundary Layer under Stable Stratification","volume":"153","author":"Optis","year":"2014","journal-title":"Bound.-Layer Meteorol."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1175\/JAMC-D-15-0075.1","article-title":"The Extrapolation of Near-Surface Wind Speeds under Stable Stratification Using an Equilibrium-Based Single-Column Model Approach","volume":"55","author":"Optis","year":"2016","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"29","DOI":"10.5194\/wes-5-29-2020","article-title":"Cluster wakes impact on a far-distant offshore wind farm\u2019s power","volume":"5","author":"Schneemann","year":"2020","journal-title":"Wind Energy Sci."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Stull, R. (1988). An Introduction to Boundary Layer Meteorology, Kluwer Academic Publishers. [1st ed.].","DOI":"10.1007\/978-94-009-3027-8"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1175\/1520-0469(1971)028<0181:FPRITA>2.0.CO;2","article-title":"Flux-Profile Relationships in the Atmospheric Surface Layer","volume":"28","author":"Businger","year":"1971","journal-title":"J. Atmos. Sci."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1007\/BF00240838","article-title":"A review of flux-profile relationships","volume":"7","author":"Dyer","year":"1974","journal-title":"Bound.-Layer Meteorol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1175\/1520-0450(1988)027<0689:AMOTNS>2.0.CO;2","article-title":"Applied Modeling of the Nighttime Surface Energy Balance over Land","volume":"27","author":"Holtslag","year":"1988","journal-title":"J. Appl. Meteorol. Climatol."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/6\/1427\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:37:05Z","timestamp":1760135825000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/6\/1427"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,15]]},"references-count":52,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2022,3]]}},"alternative-id":["rs14061427"],"URL":"https:\/\/doi.org\/10.3390\/rs14061427","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2022,3,15]]}}}