{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T16:25:38Z","timestamp":1781713538863,"version":"3.54.5"},"reference-count":11,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2024,6,7]],"date-time":"2024-06-07T00:00:00Z","timestamp":1717718400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"EUMETSAT within the framework of the Ocean and Sea Ice Satellite Application Facility (OSISAF)"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>A new ASCAT coastal wind product based on a 12.5 km grid size is presented. The new product contains winds up to the coast line and is identical to the current operational coastal product over the open ocean. It is based on the assumption that within a wind vector cell land and sea have constant radar cross section. With an accurate land fraction calculated from ASCAT\u2019s spatial response function and a detailed land mask, the land correction can be obtained with a simple linear regression. The coastal winds stretch all the way to the coast, filling the coastal gap in the operational coastal ASCAT product, resulting in three times more winds within a distance of 20 km from the coast. The Quality Control (QC), based on the regression error and the regression bias error, reduces this abundance somewhat. A comparison of wind speed pdfs with those from NWP forecasts shows that the influence of land in the land-corrected scatterometer product appears more reasonable and starts not as far offshore as that in the NWP forecasts. The VRMS difference with moored buoys increases slightly from about 2.4 m\/s at 20 km or more from the coast to 4.2 m\/s at less than 5 km, where coastal wind effects clearly contribute to the latter difference. While the QC based on the regression bias error flags many WVCs that compare well with buoys, the land-corrected coastal product with more abundant coastal winds appears useful for nowcasting and other coastal wind applications.<\/jats:p>","DOI":"10.3390\/rs16122053","type":"journal-article","created":{"date-parts":[[2024,6,7]],"date-time":"2024-06-07T08:05:17Z","timestamp":1717747517000},"page":"2053","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A Land-Corrected ASCAT Coastal Wind Product"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3798-8705","authenticated-orcid":false,"given":"Jur","family":"Vogelzang","sequence":"first","affiliation":[{"name":"Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4018-4073","authenticated-orcid":false,"given":"Ad","family":"Stoffelen","sequence":"additional","affiliation":[{"name":"Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,6,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Vogelzang, J., and Stoffelen, A. (2022). On the Accuracy and Consistency of Quintuple Collocation Analysis of In Situ, Scatterometer, and NWP Winds. Remote Sens., 14.","DOI":"10.3390\/rs14184552"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2481","DOI":"10.1109\/TGRS.2011.2175001","article-title":"High-resolution ASCAT scatterometer winds near the coast","volume":"50","author":"Verhoef","year":"2012","journal-title":"IEEE Trans. Geosci. Rem. Sens."},{"key":"ref_3","unstructured":"Long, D.G., Luke, B.J., and Plant, W. (2003, January 21\u201325). Ultra high resolution wind retrieval for SeaWinds. Proceedings of the IGARSS 2003\u2014IEEE International Geoscience and Remote Sensing Symposium, Toulouse, France."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Hutchings, N., Kilpatrick, T., and Long, D.G. (2020). Ultrahigh Resolution Scatterometer Winds near Hawaii. Remote Sens., 12.","DOI":"10.3390\/rs12030564"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Fore, A.G., Stiles, B.W., Strub, P.T., and West, R.D. (2022). QuikSCAT Climatological Data Record: Land Contamination Flagging and Correction. Remote Sens., 14.","DOI":"10.3390\/rs14102487"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"4570","DOI":"10.1109\/TGRS.2016.2544835","article-title":"A parameterized ASCAT measurement spatial response function","volume":"54","author":"Lindsley","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"8741","DOI":"10.1029\/96JB00104","article-title":"A Global Self-consistent, Hierarchical, High-resolution Shoreline Database","volume":"101","author":"Wessel","year":"1996","journal-title":"J. Geophys. Res."},{"key":"ref_8","unstructured":"Vogelzang, J., and Stoffelen, A. (2024, April 14). ASCAT Land Correction. Report SAF\/OSI\/CDOP3\/KNMI\/TEC\/TN\/384. Available online: https:\/\/scatterometer.knmi.nl\/publications\/pdf\/ASCAT_land_correction_v1.0.pdf."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1175\/1520-0442(2003)016<0571:BPOASF>2.0.CO;2","article-title":"Bulk Parameterization of Air-Sea Fluxes: Updates and Verification for the COARE Algorithm","volume":"16","author":"Fairall","year":"2003","journal-title":"J. Clim."},{"key":"ref_10","first-page":"C06038","article-title":"An assessment of buoy derived and numerical weather prediction surface heat fluxes in the tropical Pacific","volume":"111","author":"Cronin","year":"2006","journal-title":"J. Geophys. Res."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"114179","DOI":"10.1016\/j.rse.2024.114179","article-title":"Coastal wind retrievals from corrected Quikscat normalized radar cross sections","volume":"308","author":"Grieco","year":"2024","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/12\/2053\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:55:15Z","timestamp":1760108115000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/12\/2053"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,7]]},"references-count":11,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2024,6]]}},"alternative-id":["rs16122053"],"URL":"https:\/\/doi.org\/10.3390\/rs16122053","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6,7]]}}}