The Future of Data Assimilation: 4D-Var or Ensemble Kalman Filter? Eugenia Kalnay Department of Meteorology and Chaos Group University of Maryland Chaos/Weather.
Assimilation of T-TREC-retrieved wind data with WRF 3DVAR for the short-Term forecasting of Typhoon Meranti (2010) at landfall Xin Li 1, Yuan Wang 1, Jie.
HyMeX Email: [email protected]@cnrm.meteo.fr Véronique Ducrocq, Philippe Drobinski Chairs of HyMeX Executive Committee CNRM-GAME,
From lab books to computational Earth science. Chris Hill, MIT – [email protected]@mit.edu Edinburgh, July 2007.
CV3 background error statistics and tuning experiments with WRFDA Yong-Run Guo NCAR/MMM Presented in Central Weather Bureau, Taiwan 8 April 2011.
Hybrid variational-ensemble data assimilation for the NCEP GFS Tom Hamill, for Jeff Whitaker NOAA Earth System Research Lab, Boulder, CO, USA [email protected].
Atmospheric data assimilation at NCEP/EMC Andrew Collard, Daryl Keist, David Parrish, Ed Safford, Emily Liu, Manuel Pondeca, Miodrag Rancic, Lidia Cucurull,
1 Hybrid variational-ensemble data assimilation (HVEDAS) High Impact Weather Working Group Workshop 24 February, 2011 – Norman, OK Daryl T. Kleist 1,3.
1 Comparison of GSI-based ETKF, LETKF and DART-EnKF Hybrids from the MMM Regional Hybrid Testbed Arthur P. Mizzi ([email protected]) NCAR/MMM HFIP Ensemble.
MPO 674 Lecture 20 3/26/15. 3d-Var vs 4d-Var.
Studying the Impact of Saharan Dust on Tropical Cyclone Evolution using WRF/ Chem and EnKF
Computational Issues: An EnKF Perspective Jeff Whitaker NOAA Earth System Research Lab ENIAC 1948“Roadrunner” 2008.