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Wwrp, 05. Wwrp 2010-5 WORLD METEOROLOGICAL ORGANIZATION WORLD WEATHER RESEARCH PROGRAMME WWRP 2010 – 5 5th WMO SYMPOSIUM ON DATA ASSIMILATION Melbourne, Australia, 5 - 9 October 2009 WMO/TD-No.1549 Foreword Improving the combination of observations and dynamical models by data assimilation systems has underpinned many advances in our understanding of the natural environment, and forecasting ability. These improvements, coupled with the development of ever more powerful computers and more sophisticated communication systems such as the internet and the World Wide Web have also heightened expectations. As a result, society is looking for further significant benefits from applications of meteorology, oceanography and hydrology. It is therefore essential that this community continue to meet and plan the research and development of data assimilation: its fundamental theory and its application to meteorology, oceanography, hydrology and related fields. The use of data assimilation within areas such as modelling chemical species, coupled systems and the land surface raises many new issues. These questions come on top of those associated with continued efforts to meet the expectations from more established atmospheric and oceanic applications. Since the WMO accepted the challenge to oversee the development of Data Assimilation there has been tremendous developments in the relevant areas of science, both research and operational. This series of meetings from the first in Clermont-Ferrand (1990) followed by Tokyo (1995), Quebec City (1999), Prague (2005) and now Melbourne, have been an important part of showcasing these developments and reporting on fruitful directions for research to meet the increasing demands. The presentations at this meeting show that despite the success of existing systems, new developments are still needed to bridge the gap between current and desired levels of performance. The number of presentations on new techniques, novel combinations of established techniques and enhanced use of more elaborate observing systems highlights the dynamism within data assimilation theory and application. International Scientific Organizing Committee. Andrew Lorenc, Met Office, United Kingdom (Chair) Table of Contents Listed alphabetically by first author; presenting author in bold An Index of presenting authors is located at end of the Short Abstracts document Page No. REFINEMENT OF SIMULATIONS OF DEEP-WATER TSUNAMI PROPAGATION THROUGH THE 1 USE OF OBSERVATIONS Stewart Allen, Diana Greenslade A COMPARISON OF THE REPRESENTATION OF THE MAIN MODES OF OCEAN CLIMATE 1 VARIABILITY BY TWO STATE-OF-THE-ART OCEAN RE-ANALYSES O. Alves, Y.Yin, M.Balmaseda, P. Oke MODELLING EQUATORIAL PACIFIC SALINITY FIELDS USING PEODAS 2 O. Alves, R. Wedd, Y. Yin, P. Oke CAN OCEAN DATA ASSIMILATION IMPROVE TROPICAL CYCLONE FORECASTS? 2 Isabel Andreu-Burillo, Gary Brassington, Peter Oke, Paul Sandery, Justin Freeman, Helen Beggs NEIGHBORING ENSEMBLE VARIATIONAL ASSIMILATION METHOD TO INCORPORATE 2 MICROWAVE RADIOMETER DATA INTO A CLOUD-RESOLVING MODEL Kazumasa Aonashi, and Hisaki Eito PRELIMINARY RESULTS OF ASSIMILATION AIRS RADIANCES WITH LOCAL ENSEMBLE 3 TRANSFORM KALMAN FILTER FOR THE CPTEC/INPE GLOBAL MODEL José Antonio Aravéquia, Solange Solange Silva De Souza, José Paulo Bonatti, Dirceu Luiz Herdies, Paulo Kubota ASSIMILATING RETRIEVALS OF CHEMICAL CONSTITUENTS IN CAM-CHEM AND WRF- 3 CHEM USING AN ENSEMBLE ADJUSTMENT KALMAN FILTER APPROACH Avelino F. Arellano (Oral), David P. Edwards DEVELOPMENT OF A CLOUD ANALYSIS SYSTEM 4 Thomas Auligne THE “BACK AND FORTH NUDGING” ALGORITHM FOR OCEANOGRAPHIC DATA 4 ASSIMILATION Didier Auroux, Jacques Blum RECENT PROGRESS IN HYBRID 4D-VARIATIONAL/ENSEMBLE DATA ASSIMILATION 5 Dale Barker (Oral), Adam Clayton, Andrew Lorenc, Neill Bowler REAL-TIME SKIN SEA SURFACE TEMPERATURE ANALYSES FOR QUALITY CONTROL OF 5 DATA ASSIMILATED INTO NWP MODELS Helen Beggs, Chelle Gentemann, Peter Steinle AEROSOL ANALYSIS AND FORECAST IN THE ECMWF INTEGRATED FORECAST SYSTEM 5 Angela Benedetti, Jean-Jacques Morcrette CONSISTENT OPERATIONAL ENSEMBLE VARIATIONAL ASSIMILATION 6 Loïk Berre (Oral), Gérald Desroziers, Laure Raynaud, Rémi Montroty, Olivier Pannekoucke THE TOPAZ ICE-OCEAN DATA ASSIMILATION SYSTEM 6 Laurent Bertino (Oral), Francois Counillon VARIATIONAL ASSIMILATION WITH A THREE LEVEL ATMOSPHERIC MODEL 7 Kaustubha Bhattacharya DATA ASSIMILATION USING MODULATED ENSEMBLES 7 Craig H. Bishop, Daniel Hodyss i Page No. HYBRIDIZATION OF THE 4D-VAR WITH A SEEK* SMOOTHER IN VIEW OF OCEANIC 7 APPLICATIONS Monika Krysta, Eric Blayo, Emmanuel Cosme, Jacques Verron TARGETING OF OBSERVATIONS FOR RADIONUCLIDES ACCIDENTAL RELEASE 8 MONITORING Rachid Abida, Marc Bocquet CHOOSING THE GEOMETRY OF CONTROL SPACE FOR AN OPTIMAL ASSIMILATION OF 8 OBSERVATIONS Marc Bocquet FINE-SCALE VERSUS LARGE-SCALE ATMOSPHERIC DATA ASSIMILATION 9 François Bouttier (Invited) OPERATIONAL OCEAN DATA ASSIMILATION FOR THE BLUELINK OCEAN FORECASTING 9 SYSTEM Gary B. Brassington, Tim Pugh, Peter R. Oke, Justin Freeman, Xinmei Huang, Graham Warren ADJUSTMENT OF OCEAN MODEL INITIAL CONDITIONS AND ATMOSPHERIC FORCING 100 FROM OCEAN DATA ASSIMILATION IN THE CALIFORNIA CURRENT SYSTEM. Grégoire Broquet, , Andrew M. Moore, Christopher A. Edwards, Hernan G. Arango and Brian S. Powell USE OF ENSEMBLE ASSIMILATION TO REPRESENT FLOW-DEPENDENCE IN THE AROME 9 DATA ASSIMILATION SYSTEM Pierre Brousseau, Gérald Desroziers and Loïk Berre INTERCOMPARISON OF VARIATIONAL AND ENSEMBLE KALMAN FILTER DATA 10 ASSIMILATION APPROACHES IN THE CONTEXT OF GLOBAL DETERMINISTIC NWP Mark Buehner (Oral), P.L. Houtekamer, Herschel Mitchell, Cecilien Charette, Bin He VERTICAL COVARIANCE LOCALIZATION FOR SATELLITE RADIANCES IN ENSEMBLE 10 KALMAN FILTERS William F. Campbell, Craig H. Bishop and Daniel Hodyss THE BALANCE CHARACTERISTICS OF SHORT-TERM FORECAST ERRORS ESTIMATED 11 FROM AN ENSEMBLE KALMAN FILTER Jean-François Caron, Luc Fillion THREE-DIMENSIONAL VARIATIONAL DATA ASSIMILATION IN THE GULF OF ST. 11 LAWRENCE COUPLED ICE-OCEAN MODEL Alain Caya, Mark Buehner, and Tom Carrieres IMPACT OF USING 4D-VAR ASSIMILATION OF SSM/I DATA OVER AUSTRALIAN REGION 11 Mohar Chattopadhyay, Peter Steinle, Yi Xiao, John Le Marshall, Tan Le, Chris Tingwell ASSIMILATION OF OPTICAL REMOTE SENSING DATA INTO COASTAL AQUATIC 12 BIOGEOCHEMICAL MODELS Nagur Cherukuru (Oral), Barbara Robson, Vittorio Brando, Arnold Dekker A CLSMDAS USING FY2C PRECIPITATION AND AMSR-E SOIL MOISTURE DATA BASED ON 13 CLM3 AND ENKF Shi Chunxiang, Xie Zhenghui, Tian Xiangjun, Qian Hui, Liang Miaoling INFRARED REMOTE SENSING OF ATMOSPHERIC COMPOSITION AND AIR QUALITY: 13 TOWARDS OPERATIONAL APPLICATIONS Cathy Clerbaux (Oral), Maya George, Juliette Hadji-Lazaro, Anne Boynard, Matthieu Pommier, Claire Scannell, Pierre-François Coheur, Daniel Hurtmans, Lieven Clarisse ii Page No. THE PRINCIPLE OF ENERGETIC CONSISTENCY 14 STEPHEN E. COHN (ORAL) FIRST RESULTS OF THE ASSIMILATION OF OZONE TROPOSPHERIC COLUMNS PROVIDED 14 BY THE IASI INSTRUMENT TO ASSESS AIR QUALITY WITH A CHEMICAL TRANSPORT MODEL - CHIMERE AT A CONTINENTAL SCALE Adriana Coman, Gilles Foret, Maxime Eremenko, Anne Boynard, Gaelle Dufour, Matthias Beekmann IMPLEMENTATION OF A REDUCED RANK SMOOTHER FOR HIGH RESOLUTION 15 OCEANOGRAPHY Emmanuel Cosme, Jean-Michel Brankart, Pierre Brasseur, Jacques Verron COMPARISON BETWEEN SEQUENTIAL ASSIMILATION AND KRIGEAGE FOR SATELLITE 15 DATA INTERPOLATION Charles Cot, Alain Hauchecorne, Slimane Bekki, David Cugnet ENHANCING ADAPTIVE FILTERING APPROACHES FOR LAND DATA ASSIMILATION 16 SYSTEMS Wade T. Crow (Oral) LAND DATA ASSIMILATION ACTIVITIES IN PREPARATION OF THE NASA SOIL MOISTURE 16 ACTIVE PASSIVE (SMAP) MISSION Wade T. Crow, Rolf. H. Reichle ASSIMILATION OF GPS RADIO OCCULTATION OBSERVATIONS AT NOAA/NCEP 17 L. Cucurull (Oral) and J. Derber FINE SCALE SNOW ANALYSES IMPROVEMENT THROUGH COARSE SCALE SNOW WATER 17 EQUIVALENT ASSIMILATION Gabriëlle J.M. De Lannoy, Rolf H. Reichle, Paul R. Houser, Kristi Arsenault, Niko E.C. Verhoest, Valentijn R.N. Pauwels ASSESSMENT OF COASTAL OCEAN OBSERVATIONAL NETWORKS BY ENSEMBLE-BASED 18 REPRESENTER SPECTRAL ANALYSIS Matthieu Le Henaff, Pierre De Mey REPRESENTATION OF CLIMATE SIGNALS IN REANALYSIS 18 Dick Dee (Invited) ENSEMBLE-BASED DATA ASSIMILATION FOR WIND ENERGY PREDICTIONS AT FINE 19 SCALES Luca Delle Monache, Julie Lundquist DATA ASSIMILATION OF REMOTE SENSING INFORMATION FROM SATELLITE AND RADAR 19 DATA John Derber (Invited), Lidia Cucurull, Banghua Yan, Paul VanDelst, Mingjing Tong, David Parrish and Shun Liu A POSTERIORI DIAGNOSTICS IN AN ENSEMBLE VARIATIONAL ASSIMILATION 20 Gérald Desroziers, Loïk Berre, Vincent Chabot, Bernard Chapnik ENSEMBLE KALMAN FILTER ASSIMILATION OF ATMOSPHERIC CHEMICAL CONSTITUENTS 20 DATA WITH A MRI CHEMISTRY-CLIMATE MODEL: OSS EXPERIMENTS Makoto Deushi, Tsuyoshi T. Sekiyama, and Kiyotaka Shibata ERROR COVARIANCES VIA HESSIAN IN VARIATIONAL DATA ASSIMILATION 21 F.-X. Le Dimet, I. Gejadze and V. Shutyaev AN APPLICATION OF SEQUENTIAL VARIATIONAL ALGORITHM 21 Srdjan Dobricic (Oral) iii Page No. DATA ASSIMILATION IN OPEN OCEAN AND SHELF AREAS OF THE MEDITERRANEAN SEA 22 Nadia Pinardi, Srdjan Dobricic, Mario Adani, Daniele Pettenuzzo, Jenny Nilsson, Alessandro Bonazzi, Marina Tonani ON THE ASSIMILATION OF ARGO FLOAT AND SURFACE DRIFTER TRAJECTORIES INTO 22 THE MEDITERRANEAN FORECASTING SYSTEM Jenny A.U. Nilsson, Srdjan Dobricic, Nadia Pinardi ASSIMILATION OF MODIS SNOW COVER DATA INTO THE LIS SAC-HT/SNOW17 MODEL 23 OVER THE CONTINENTAL UNITED STATES (CONUS) Jiarui Dong, Mike Ek, Pedro Restrepo, Dongjun
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