Toward an improved ambiguity removal for ASCAT-derived winds

Author

Wenming Lin ; Portabella, Marcos ; Stoffelen, Ad ; Vogelzang, Jur ; Verhoef, Anton ; Turiel, Antonio ; Gonzalez, Veronica

Author_Institution

Inst. de Cienc. del Mar, Barcelona, Spain

fYear

2014

fDate

13-18 July 2014

Firstpage

3898

Lastpage

3901

Abstract

The current ASCAT Wind Data Processor (AWDP) uses the 2D variational ambiguity removal (2DVAR) scheme to select a unique wind field from a set of retrieved ambiguities. This has led to spatially consistent and accurate ASCAT Level 2 wind products. Nevertheless, recent research shows that 2DVAR picks up the wrong wind direction ambiguities in regions where the background field shows mislocation of fronts (convergence) or misses convective systems. In this paper, the exploitation of complementary information derived from the inversion and from an image processing technique is proposed to improve the current 2DVAR for ASCAT in mesoscale conditions.

Keywords

atmospheric techniques; wind; 2D variational ambiguity removal; 2DVAR scheme; ASCAT Level 2 wind products; ASCAT Wind Data Processor; ASCAT-derived winds; AWDP; background field; convective systems; convergence; front mislocation; image processing technique; mesoscale condition; wind direction ambiguity; wind field; Correlation; Geophysical measurements; Maximum likelihood estimation; Rain; Sea surface; Wind forecasting; ASCAT; MLE; ambiguity removal; rain effects; singularity analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International

Conference_Location

Quebec City, QC

Type

conf

DOI

10.1109/IGARSS.2014.6947336

Filename

6947336