Extended Abstract

WWRP, THORPEX and GIFS-TIGGE represent a perfect opportunity to coordinate LAM EPS activityboth at scientific and implementation level. WWRP offers the opportunity to have cross-coordination withthe closely related working groups. THORPEX provides the organizational basis to LAM EPS to contributeto the improvement of We ather For ecasting with spe cific reference to Regional HIW. GIFS TIG GErepresents the main reference since TIGGE LAM must complement global EPS by adding value where andwhen higher resolution and local optimization can play a substantial role.The TIGGE LAM Plan is still under writing. The main scientific issues will be detailed within the Plantogether with all the i nitiatives whic h are necessary to exploit at best the u nique po tential com ing frombeing part of these Programmes.Table 1: List of LAM EPSLAM EPSStatus Institute -Consortium Contact personSystemEuropeOMSZ LAMEPS Operational Hungary Máté MileALADIN LAEF Operational ZAMG / Austria Yong Wang, Florian WeidleAEMET-SREPS Op erational AEMET/Spain - HIRLAM Jose Antonio Garcia MoyaNORLAMEPS Op erational Met.NO Inger-Lise Frogner, Trygve AspelienMOGREPS Operational Met Office/UK Ken MylneSRNWP PEPS Operational DWD /Germany - SRNWP Sebastian TrepteCOSMO-LEPS Operational ARPA-SIMC/Italy - COSMO Andrea MontaniCOSMO-SREPS Preoperational ARPA-SIMC/Italy - COSMO Chiara MarsigliGLAMEPS Dev/ Preoperational DNMI-Univ Oslo/Norway - HIRLAM ALADIN Trond IversenPEARCE Operational Meteo-France / France Laurent.DescampsAROME EPS Research Meteo-France / France Olivier NuissierDMI - HIRLAM Development DMI Xiao Hua YangUSAM LETKF Development USAM/Italy Lu cio TorrisiAfricaSouth Africa Development South Africa Weather Service Eugene Poolman, Stephanie LandmanBotswana Under Planning Botswana Weather Service Galebonwe RamaphaneAsiaCMA-WRF LEPS Preoperational CMA/China Jiandong GongJMA MRI EPS Research MRI/Japan Kazuo SaitoKorea Research Korean Met Administration Hee Sang LeeVietnam Development Vietnam Weather Service Mrs. Do Le Thuy, Mr. Le DucUnited StatesNCEP-SREF Op erational NCEP Jun DuU.S. Air force Mesoscale Ensemble Operational U.S. Air force J. Hacker, C. SnyderConvective Scale EPS Research Univ Oklahoma Ming XueUWME Research Univ Washington /USA Clifford MassEnKF Research Univ Washington /USA Greg HakimUniv. Oklahoma Research Univ Oklahoma David StensrudNOAA/OAR/ESRL/GSD Res earch NOAA/OAR/ESRL/GSD Isido ra JankovCanadaCMC LAM EPS Preoperational MS / Canada Martin CharronReferencesBowler NE and K.R. M ylne. 2009. Ensemble tran sform Kalman filter perturbations for a reg ionalensemble prediction system Q. J. R. Meteorol. Soc. 135: 757–766 (2009)Clark, A. J., W . A. Gallus, Jr. , M. Xue, and F. Ko ng, 20 10: Convecti on-allowing an d co nvectionparameterizingensemble forecasts of a mesos cale convective vortex and associated severe weather. Wea.Forecasting, Accepted.Frogner I. L. . H. Ha akenstad , T. I versen 2006. L imited-area ense mble predictions a t the N orwegianMeteorological Institute Q. J. R. Meteorol. Soc. (2006), 132, pp. 2785–2808García-Moya, J . A., Call ado, A., S antos, C, S antos-Muños, D. and Si marro, J., 2009: Predictability ofShort-Range Forecasting: A Multi- model Appro ach. No ta Téchnica 1 del Serv icio de Predeci bilidad yPredicciones Extendidas. Agencia Estatal de Meteorología. Spain.Hacker, J., C. Snyder, S.-Y. Ha, and M. Pocernich, 2010: Linear and nonlinear response to parametervariations in a mesoscale model. Tellus A. Under revision.-290-