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Estimation theory / Weather prediction / Bayesian statistics / Control theory / Linear filters / Data assimilation / Ensemble Kalman filter / Kalman filter / Bred vector / Statistics / Atmospheric sciences / Meteorology


SUMMARY OF TELECONFERENCE DISCUSSION December 18, 2008, 11:00am – 1:00 pm EST Present: J. Whitaker and T. Hamill and X. Wang(NOAA ESRL), C. Bishop and Dan Hodyss (NRL), M. Zupanski (CIRA/CSU), I. Szunyogh and E.
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Document Date: 2009-01-14 13:25:30


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City

Washington / Buenos Aires / /

Company

IBM / SENCORP / EMC / NCEP / ZT / /

Continent

North America / /

Country

Germany / Brazil / Argentina / /

/

Event

Funding / Natural Disaster / /

Facility

University of Washington / University of Maryland / /

IndustryTerm

software engineering / satellite angle / satellite radiance data / Software infrastructure / /adapted ensemble perturbation software / applicable software / verification software / satellite data files / prototype software / satellite data bias correction / data assimilation applications / Satellite data / satellite radiances / assimilation/forecasting software / modifications to their software / possible solution / perturbation generation tool / sequential algorithm / observation operator / technology transfer / /

MarketIndex

GSI / SSI / NCEP T62 / /

Organization

University of Washington / DIFFERENT ENSEMBLE / University of Maryland / NASA DA Office / National Oceanic and Atmospheric Administration / Texas A&M / Air Force / /

Person

C. Bishop / Grep Hakim / Craig Bishop / Dan Hodyss / Fuqing Zhang / Mark Iredell / Jeff Anderson / Craig Bishop Showed / Z. Toth / Tom Hamill / Joe Tribbia / Y. Song / Greg Hakim / Mark Buehner / Y. Zhu / R. Wobus / David Parrish / Steve Lord / Zoltan Toth / Eugenia Kalnay / Gregory Hakim / Jeff Whitaker / /

Position

model data assimilation experiments / manager / General / Governor / /

ProvinceOrState

Maryland / Arizona / New Hampshire / /

PublishedMedium

Physica D / /

Technology

Lanczos algorithms / ensemble variance using ET algorithm / PDF / same sequential algorithm / two algorithms / EnSRF algorithm / /

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