{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T09:31:24Z","timestamp":1776504684307,"version":"3.51.2"},"reference-count":31,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2021,6,16]],"date-time":"2021-06-16T00:00:00Z","timestamp":1623801600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000104","name":"National Aeronautics and Space Administration","doi-asserted-by":"publisher","award":["NNH17CA04C"],"award-info":[{"award-number":["NNH17CA04C"]}],"id":[{"id":"10.13039\/100000104","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000104","name":"National Aeronautics and Space Administration","doi-asserted-by":"publisher","award":["80HQTR19C0003"],"award-info":[{"award-number":["80HQTR19C0003"]}],"id":[{"id":"10.13039\/100000104","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000104","name":"National Aeronautics and Space Administration","doi-asserted-by":"publisher","award":["NNH15CN50C"],"award-info":[{"award-number":["NNH15CN50C"]}],"id":[{"id":"10.13039\/100000104","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000104","name":"National Aeronautics and Space Administration","doi-asserted-by":"publisher","award":["80HQTR18C0035"],"award-info":[{"award-number":["80HQTR18C0035"]}],"id":[{"id":"10.13039\/100000104","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>A new data set of tropical cyclone winds (\u2018TC-winds\u2019) through rain as observed by the WindSat and AMSR2 microwave radiometers has been developed by making use of a linear combination of C- and X-band frequency channels. These winds, along with tropical cyclone winds from the SMAP L-band radiometer, are compared with the Hurricane Weather Research and Forecasting (HWRF) model. Due to differences in spatial scales between the satellites and the high-resolution HWRF model, resampling must be performed on the model winds before comparisons are done. Various ways of spatial resampling are discussed in detail, and an optimal method is determined. Additionally, resampled model winds must be temporally interpolated to the time of the satellite before direct comparisons are made. This interpolation can occasionally result in un-physical 2D wind fields, especially for fast-moving storms. To assist users with this problem, a methodology for handling un-physical wind features is detailed. Results of overall comparisons between the satellites and HWRF for 19 storms between 2017 and 2020 displayed consistent storm features, with overall average biases less than 1 m\/s and standard deviations below 4 m\/s for all tropical cyclone winds between 10 and 60 m\/s. Differences were seen when the comparisons were performed separately for the Atlantic and Pacific basins, with biases and standard deviations between the satellites and HWRF showing better agreement in the Atlantic. The impact of rain on the satellite wind retrievals is discussed, and no systematic bias was seen between the three sensors, despite the fact that they use different frequency channels in their tropical cyclone winds-through-rain retrieval algorithms.<\/jats:p>","DOI":"10.3390\/rs13122347","type":"journal-article","created":{"date-parts":[[2021,6,16]],"date-time":"2021-06-16T21:58:32Z","timestamp":1623880712000},"page":"2347","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Tropical Cyclone Winds from WindSat, AMSR2, and SMAP: Comparison with the HWRF Model"],"prefix":"10.3390","volume":"13","author":[{"given":"Andrew","family":"Manaster","sequence":"first","affiliation":[{"name":"Remote Sensing Systems, 444 Tenth Street, Suite 200, Santa Rosa, CA 95401, USA"}]},{"given":"Lucrezia","family":"Ricciardulli","sequence":"additional","affiliation":[{"name":"Remote Sensing Systems, 444 Tenth Street, Suite 200, Santa Rosa, CA 95401, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5488-1566","authenticated-orcid":false,"given":"Thomas","family":"Meissner","sequence":"additional","affiliation":[{"name":"Remote Sensing Systems, 444 Tenth Street, Suite 200, Santa Rosa, CA 95401, USA"}]}],"member":"1968","published-online":{"date-parts":[[2021,6,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1613","DOI":"10.1175\/1520-0469(1998)055<1613:SIRRWA>2.0.CO;2","article-title":"SSM\/I rain retrievals within a unified All-weather ocean algorithm","volume":"55","author":"Wentz","year":"1998","journal-title":"J. Atmos. Sci."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"778","DOI":"10.1175\/2007JAMC1635.1","article-title":"Intercalibrated Passive Microwave Rain Products from the Unified Microwave Ocean Retrieval Algorithm (UMORA)","volume":"47","author":"Hilburn","year":"2008","journal-title":"J. Appl. Meteorol. Clim."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"3065","DOI":"10.1109\/TGRS.2009.2027012","article-title":"Wind-Vector Retrievals Under Rain With Passive Satellite Microwave Radiometers","volume":"47","author":"Meissner","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Meissner, T., Ricciardulli, L., and Manaster, A. (2021). Tropical Cyclone Wind Speeds from WindSat, AMSR and SMAP: Algorithm Development and Testing. Remote Sens., 13.","DOI":"10.3390\/rs13091641"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1063\/1.2914664","article-title":"An Introduction to Atmospheric Radiation","volume":"34","author":"Liou","year":"1981","journal-title":"Phys. Today"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1109\/TGRS.2002.808331","article-title":"The advanced microwave scanning radiometer for the earth observing system (AMSR-E), NASDA\u2019s contribution to the EOS for global energy and water cycle studies","volume":"41","author":"Kawanishi","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_7","first-page":"13","article-title":"Instrument performance and calibra-tion of AMSR-E and AMSR2, International Archives of the Photogrammetry","volume":"38","author":"Imaoka","year":"2010","journal-title":"Remote Sens. Spat. Inf. Sci."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Oki, T., Imaoka, K., and Kachi, M. (2010, January 25\u201330). AMSR instruments on GCOM-W1\/2: Concepts and applications. Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium, Honolulu, HI, USA.","DOI":"10.1109\/IGARSS.2010.5650001"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2347","DOI":"10.1109\/TGRS.2004.836867","article-title":"The WindSat spaceborne polarimetric microwave radiometer: Sensor description and early orbit performance","volume":"42","author":"Gaiser","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1660","DOI":"10.1175\/BAMS-D-16-0052.1","article-title":"Capability of the SMAP Mission to Measure Ocean Surface Winds in Storms","volume":"98","author":"Meissner","year":"2017","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_11","unstructured":"Meissner, T., Ricciardulli, L., and Wentz, F. (2018). Remote Sensing Systems SMAP daily Sea Surface Winds Speeds on 0.25 deg grid, Version 01.0. FINAL, Remote Sensing Systems. Available online: www.remss.com\/missions\/smap\/."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1109\/JPROC.2010.2043918","article-title":"The Soil Moisture Active Passive (SMAP) Mission","volume":"98","author":"Entekhabi","year":"2010","journal-title":"Proc. IEEE"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"02006","DOI":"10.1029\/2011JC007474","article-title":"SMOS satellite L-band radiometer: A new capability for ocean surface remote sensing in hurricanes","volume":"117","author":"Reul","year":"2012","journal-title":"J. Geophys. Res. Space Phys."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1016\/j.rse.2016.03.011","article-title":"A revised L-band radio-brightness sensitivity to extreme winds under Tropical Cyclones: The five year SMOS-storm database","volume":"180","author":"Reul","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Wentz, F. (2005). The Effect of Clouds and Rain on the Aquarius Salinity Retrieval, Remote Sensing Systems. Available online: http:\/\/images.remss.com\/papers\/aquarius\/rain_effect_on_salinity.pdf.","DOI":"10.56236\/RSS-ah"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"7339","DOI":"10.1109\/TGRS.2016.2600239","article-title":"SMAP L-Band Passive Microwave Observations of Ocean Surface Wind During Severe Storms","volume":"54","author":"Yueh","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2367","DOI":"10.1175\/BAMS-D-15-00291.1","article-title":"A New Generation of Tropical Cyclone Size Measurements from Space","volume":"98","author":"Reul","year":"2017","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1480","DOI":"10.1109\/LGRS.2018.2849649","article-title":"SMAP Radiometer-Only Tropical Cyclone Intensity and Size Validation","volume":"15","author":"Fore","year":"2018","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1175\/JTECH-D-18-0116.1","article-title":"Validation of High Ocean Surface Winds from Satellites Using Oil Platform Anemometers","volume":"36","author":"Manaster","year":"2019","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1231","DOI":"10.1175\/1520-0477(2000)081<1231:TATCFS>2.3.CO;2","article-title":"The Automated Tropical Cyclone Forecasting System (version 3.2)","volume":"81","author":"Sampson","year":"2000","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_21","first-page":"419","article-title":"A developmental framework for improving hurricane model physical parameterizations using aircraft observations","volume":"1","author":"Zhang","year":"2012","journal-title":"Trop. Cyc. Res. Rev."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"4308","DOI":"10.1175\/MWR-D-13-00010.1","article-title":"Evaluation of Storm Structure from the Operational HWRF during 2012 Implementation","volume":"142","author":"Tallapragada","year":"2014","journal-title":"Mon. Weather. Rev."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1355","DOI":"10.1175\/WAF-D-14-00138.1","article-title":"Forecasting Tropical Cyclones in the Western North Pacific Basin Using the NCEP Operational HWRF: Real-Time Implementation in 2012","volume":"30","author":"Tallapragada","year":"2015","journal-title":"Weather Forecast."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1175\/WAF-D-18-0072.1","article-title":"Tropical Cyclone Forecasts Impact Assessment from the Assimilation of Hourly Visible, Shortwave, and Clear-Air Water Vapor Atmospheric Motion Vectors in HWRF","volume":"34","author":"Lim","year":"2019","journal-title":"Weather Forecast."},{"key":"ref_25","unstructured":"Biswas, M.K. (2021, January 25). Hurricane Weather Research and Forecasting (HWRF) Model: 2018 Scientific Documentation. Available online: https:\/\/dtcenter.org\/community-code\/hurricane-wrf-hwrf\/documentation."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1847","DOI":"10.1175\/JAMC-D-16-0375.1","article-title":"Determining Tropical Cyclone Surface Wind Speed Structure and Intensity with the CYGNSS Satellite Constellation","volume":"56","author":"Morris","year":"2017","journal-title":"J. Appl. Meteorol. Clim."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1175\/JAMC-D-16-0176.1","article-title":"Estimating Tropical Cyclone Integrated Kinetic Energy with the CYGNSS Satellite Constellation","volume":"56","author":"Morris","year":"2017","journal-title":"J. Appl. Meteorol. Clim."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1175\/2009BAMS2755.1","article-title":"The International Best Track Archive for Climate Stewardship (IBTrACS)","volume":"91","author":"Knapp","year":"2010","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"6746","DOI":"10.1109\/TGRS.2017.2732508","article-title":"Combined Co- and Cross-Polarized SAR Measurements under Extreme Wind Conditions","volume":"55","author":"Mouche","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"3905","DOI":"10.1029\/2019JC015056","article-title":"Copolarized and Cross-Polarized SAR Measurements for High-Resolution Description of Major Hurricane Wind Structures: Application to Irma Category 5 Hurricane","volume":"124","author":"Mouche","year":"2019","journal-title":"J. Geophys. Res. Oceans"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"4545","DOI":"10.1175\/MWR-D-20-0005.1","article-title":"Extensive High-Resolution Synthetic Aperture Radar (SAR) Data Analysis of Tropical Cyclones: Comparisons with SFMR Flights and Best Track","volume":"148","author":"Combot","year":"2020","journal-title":"Mon. Weather. Rev."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/12\/2347\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:16:44Z","timestamp":1760163404000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/12\/2347"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,16]]},"references-count":31,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2021,6]]}},"alternative-id":["rs13122347"],"URL":"https:\/\/doi.org\/10.3390\/rs13122347","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6,16]]}}}