{"title":"Tropical Cyclone-Affected Ocean Surface Winds: A Comparison of Atmospheric Reanalyses With Altimeter, Scatterometer, Radiometer, and Buoy Measurements","authors":"Jincan Liu;Jie Ding;Jichao Wang","doi":"10.1109/TGRS.2025.3543359","DOIUrl":null,"url":null,"abstract":"This study evaluates 1985–2017 ocean surface winds from atmospheric reanalysis products, particularly ERA5-12.5, focusing on 673 tropical cyclones (TCs) in the North Atlantic. Utilizing measurements from ten altimeters, seven scatterometers, 12 radiometers, and NDBC buoys, we perform a comprehensive error analysis through a suite of verification diagnostics involving normalization and successive decomposition. The analysis features detailed comparisons with individual satellite datasets and investigates four factors influencing reanalysis wind speed errors. Our results indicate that traditional interpolation significantly degrades the accuracy of NCEP/NCAR TC wind speeds, while the interpolation of ERA5 (resulting in ERA5-12.5) minimally affects error metrics and increases matched observational data to more than three times. In ERA5-12.5 diagnostics, bias contributes less to overall error than pattern errors, which are mainly driven by phase discrepancies. Additionally, ERA5-12.5 tends to underestimate high wind speeds, with significant underestimation occurring beyond certain wind speed thresholds. Random errors in ERA5-12.5 show minimal variation beyond a threshold distance of approximately 160 km from the TC center; however, they increase sharply as proximity to the TC center decreases. Furthermore, random errors and bias in ERA5-12.5 reveal no clear trends with increasing distance from the coast or over the years.","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":"63 ","pages":"1-11"},"PeriodicalIF":8.6000,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Geoscience and Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10891907/","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
This study evaluates 1985–2017 ocean surface winds from atmospheric reanalysis products, particularly ERA5-12.5, focusing on 673 tropical cyclones (TCs) in the North Atlantic. Utilizing measurements from ten altimeters, seven scatterometers, 12 radiometers, and NDBC buoys, we perform a comprehensive error analysis through a suite of verification diagnostics involving normalization and successive decomposition. The analysis features detailed comparisons with individual satellite datasets and investigates four factors influencing reanalysis wind speed errors. Our results indicate that traditional interpolation significantly degrades the accuracy of NCEP/NCAR TC wind speeds, while the interpolation of ERA5 (resulting in ERA5-12.5) minimally affects error metrics and increases matched observational data to more than three times. In ERA5-12.5 diagnostics, bias contributes less to overall error than pattern errors, which are mainly driven by phase discrepancies. Additionally, ERA5-12.5 tends to underestimate high wind speeds, with significant underestimation occurring beyond certain wind speed thresholds. Random errors in ERA5-12.5 show minimal variation beyond a threshold distance of approximately 160 km from the TC center; however, they increase sharply as proximity to the TC center decreases. Furthermore, random errors and bias in ERA5-12.5 reveal no clear trends with increasing distance from the coast or over the years.
期刊介绍:
IEEE Transactions on Geoscience and Remote Sensing (TGRS) is a monthly publication that focuses on the theory, concepts, and techniques of science and engineering as applied to sensing the land, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.