Assimilating scatterometer observations of tropical cyclones into an Ensemble Kalman Filter system with a robust 
observation operator based on canonical-correlation analysis

Jeffrey L. Steward; Ziad S. Haddad; Svetla Hristova-Veleva; Tomislava Vukicevic

doi:10.1117/12.2069343

18 November 2014 Assimilating scatterometer observations of tropical cyclones into an Ensemble Kalman Filter system with a robust observation operator based on canonical-correlation analysis

Jeffrey L. Steward, Ziad S. Haddad, Svetla Hristova-Veleva, Tomislava Vukicevic

Author Affiliations +

Proceedings Volume 9265, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions V; 926507 (2014) https://doi.org/10.1117/12.2069343
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China

Abstract

Satellite-based scatterometers, for historical reasons, have been used mainly to derive the wind forcing term for oceanography applications in the form of the near-surface wind field. However, the scatterometer is sensitive to the surface roughness, which is related to the wind stress field, which is in turn related to the wind field at the bottom of the troposphere but not just at 10 meters above the surface { indeed, in organized systems such as tropical cyclones, the surface roughness is highly correlated with the wind at altitudes much higher than 10 meters. We show how to assimilate this data as a function of the vertical principal components of the wind rather than the oversimplified alternative. We derive the empirical correlations between simulated scatterometer observations and underlying columns of wind produced by a numerical weather prediction model and derive an observation operator based on these correlations. We then present the results of the subsequent assimilation.

Citation Download Citation

Jeffrey L. Steward, Ziad S. Haddad, Svetla Hristova-Veleva, and Tomislava Vukicevic "Assimilating scatterometer observations of tropical cyclones into an Ensemble Kalman Filter system with a robust observation operator based on canonical-correlation analysis", Proc. SPIE 9265, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions V, 926507 (18 November 2014); https://doi.org/10.1117/12.2069343

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available