1 / 3

Progress in LWS TR&T Research

Progress in LWS TR&T Research. June 2004 Steve Naehr, Frank Toffoletto Rice University. Data-based analysis of D Bx at GEO. Statistical interpolation combines observations with a background model, to improve the estimated state globally.

sabine
Download Presentation

Progress in LWS TR&T Research

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Progress in LWS TR&T Research June 2004 Steve Naehr, Frank Toffoletto Rice University

  2. Data-based analysis of DBx at GEO Statistical interpolation combines observations with a background model, to improve the estimated state globally. The figure shows predicted DBx at the position of GOES-12, computed from the Tsyganenko (2001) field model and data from GOES-10.

  3. Estimating error correlations in the Tsyganenko (2001) B-field model Statistical interpolation requires error structure of background model. Here, error correlations are estimated numerically, by perturbing model inputs and parameters. Left: contours of DBz error correlation coefficient, relative to point marked “+” in equatorial plane.

More Related