1B.17 ASSESSING THE IMPACT OF OBSERVATIONS AND MODEL ERRORS IN THE ENSEMBLE DATA ASSIMILATION FRAMEWORK D. Zupanski 1, A. Y. Hou 2, S. Zhang 2, M. Zupanski.
P1.8 QUANTIFYING AND REDUCING UNCERTAINTY BY EMPLOYING MODEL ERROR ESTIMATION METHODS Dusanka Zupanski Cooperative Institute for Research in the Atmosphere.
MODEL ERROR ESTIMATION Cooperative Institute for Research in the Atmosphere Research Benefits to NOAA:This is a novel research approach, providing an optimal.
DATA ASSIMILATION AND NWP IMPROVEMENTS CARPE DIEM AREA 1 Magnus Lindskog on behalf of Nils Gustafsson (AREA 1 Scientific Rapporteur) and AREA 1 colleagues.
Outline
Radiance assimilation in JMA’s Meso-scale Analysis
A preliminary experiment on the simulation of thunderstorm electrification through GRAPES
GSI/ETKF Regional Hybrid Data Assimilation
CSDA Conference, Limassol, 2005 University of Medicine and Pharmacy “Gr. T. Popa” Iasi Department of Mathematics and Informatics Gabriel Dimitriu University.
Carbon Cycle Data Assimilation
Coastal Altimetry Ted Strub Corinne James, Martin Saraceno, Remko Scharoo and many colleagues
Data Assimilation in Meteorology Chris Budd Joint work with Chiara Piccolo, Mike Cullen (Met Office) Melina Freitag, Phil Browne, Emily Walsh, Nathan Smith.