A GNSS-R forward model for delay-Doppler map assimilation

Feixiong Huang, James L. Garrison, Mark Leidner, Bachir Annane, Ross Hoffman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

The Cyclone Global Navigation Satellite System (CYGNSS) constellation was launched for the purpose of improving tropical cyclone forecasts using GNSS Reflectometry (GNSS-R). CYGNSS wind speed estimates have been based on only a small window of the Delay-Doppler Maps (DDM) due to the resolution requirement. Direct assimilation of DDM data into a forecast model is an alternative approach, that could take advantage of contribution to the DDM from regions on the ocean away from the specular point. This paper will present a generalized forward model for assimilation of DDMs into a weather model. The forward operator and Jacobian matrix are derived and structured for use in data assimilation systems. The model has also been assessed using CYGNSS Level 1 data from the 2017 Hurricane season.

Original languageEnglish (US)
Title of host publication2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3323-3326
Number of pages4
ISBN (Electronic)9781538671504
DOIs
StatePublished - Oct 31 2018
Event38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain
Duration: Jul 22 2018Jul 27 2018

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2018-July

Conference

Conference38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Country/TerritorySpain
CityValencia
Period7/22/187/27/18

Keywords

  • Data assimilation
  • DDM
  • GNSS-R
  • GPS
  • Ocean wind
  • VAM

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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