Error Characterization of in Situ, Satellite, and Synergistic Sea Surface Wind Products under Tropical Cyclone Conditions

F. Cossu, E. Makarova, A. S. Rabaneda, M. Portabella, J. Tenerelli, N. Reul, A. Stoffelen, G. Grieco, J. Sapp, Z. Jelenak, P. Chang, W. Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the framework of the MAXSS project, a multi-mission (MM) wind product under tropical cyclone conditions has been generated for the period 2010-2020, i.e., a synergistic product that combines the European Center for Medium-range Weather Forecast fifth reanalysis (ERA5) output with several scatterometer and radiometer wind data adjusted to the wind scale of hurricane hunter in situ observations. The errors of the satellite and MM wind products have been estimated with triple collocation analysis, while the different spatial representation of the datasets (i.e., representativeness error r2) is accounted for and computed through spatial variance analysis. The error analysis shows that C-band scatterometers have the lowest standard deviation errors (0.9 m/s) compared to those of the Ku-band scatterometers (1.4-2.1 m/s), while radiometers have the largest errors (2.0-2.9 m/s). Finally, the analysis reveals that the MM wind product has a lower error (1.6 m/s) compared to ERA5 (2.6 m/s) under tropical cyclone conditions.

Original languageEnglish
Title of host publicationIGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5810-5813
Number of pages4
ISBN (Electronic)9798350360325
DOIs
StatePublished - 2024
Event2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 - Athens, Greece
Duration: Jul 7 2024Jul 12 2024

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024
Country/TerritoryGreece
CityAthens
Period07/7/2407/12/24

Keywords

  • NWP
  • error analysis
  • extreme winds
  • satellite
  • synergistic product

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