On the radar signatures of oceanic fronts - analysis of multi-channel radar imagery and model predictions

Susanne Ufermann, Roland Romeiser, Martin Gade

Research output: Contribution to conferencePaper

Abstract

In this paper we compare multi-channel radar images of the Gulf Stream front off the east coast of the US with results of numerical simulations based on available in-situ data. The radar images used for this study were acquired during the SIR-C/X-SAR campaign in 1994. According to model predictions, spatial variations in the surface current field and in the near-surface wind field at the Gulf Stream front can cause radar signatures of comparable shape and modulation depth. On the other hand, the individual dependencies of radar signatures of oceanic and atmospheric origin on radar frequency and polarization can be quite different. This enables us to identify radar signatures of oceanic and atmospheric origin in multi-channel data and to estimate the corresponding current and wind variations independently. By varying current and wind parameters at the Gulf Stream front within reasonable ranges, we arrive at a most likely scenario of oceanic and atmospheric conditions during the Shuttle overflight, for which good agreement between observed and simulated radar signatures is obtained at all radar channels.

Original languageEnglish (US)
Pages1659-1661
Number of pages3
StatePublished - Jan 1 1998
Externally publishedYes
EventProceedings of the 1998 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. Part 1 (of 5) - Seattle, WA, USA
Duration: Jul 6 1998Jul 10 1998

Other

OtherProceedings of the 1998 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. Part 1 (of 5)
CitySeattle, WA, USA
Period7/6/987/10/98

ASJC Scopus subject areas

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

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    Ufermann, S., Romeiser, R., & Gade, M. (1998). On the radar signatures of oceanic fronts - analysis of multi-channel radar imagery and model predictions. 1659-1661. Paper presented at Proceedings of the 1998 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. Part 1 (of 5), Seattle, WA, USA, .