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International Conference on Ensemble Methods in Geophysical Sciences

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	Oral presentations

		Olivier Talagrand (Institut Pierre-Simon Laplace pour les Sciences de l'Environnement Global (IPSL), Paris, France) Opening

	Session 1. Particle Filters and Applications
		Arnaud Doucet (Department of Statistics, University of Oxford, UK) Block Sampling Proposals for Particle Filters Chris Snyder (National Center for Atmospheric Research, Boulder, USA) Performance bounds for particle filters using the "optimal" proposal density Matthias Morzfeld (Lawrence Berkeley National Laboratory, Berkeley, USA), Alexandre Chorin, Robert Miller, Yvette Spitz and Brad Weir (Brad Weir: Oregon State University, Corvallis, USA) Implicit Sampling for Data Assimilation in Geophysics Emmanuel Cosme Université Joseph Fourier, Grenoble, France) and Chris Snyder (National Center for Atmospheric Research, Boulder, USA) A deterministic, fully non Gaussian analysis scheme for ensemble filters: the Multivariate Rank Histogram Filter Christoph Bergemann (Deutsches Zentrum für Luft- und Raumfahrt (DLR), Cologne,Germany) Particle filter based data assimilation into an air quality model Svetlana Dubinkina (Earth and Life Institute, Université catholique de Louvain, Louvain-La-Neuve, Belgium), Hugues Goosse, Violette Zunz and Yoann Sallaz-Damaz Reconstructions of the climate states over last centuries using particle filtering Rihab Mechri (1), Catherine Ottlé (1), Olivier Pannekoucke (2), Abdelaziz Kallel (3) and Ahmed Ben Hamida (4) (1) Laboratoire des Sciences du Climat et l'Environnement, Institut Pierre Simon Laplace des sciences de l'environnement, Orme des Merisiers, 91191, Gif-sur-Yvette, France - (2) CNRM, Météo-France, 31057, Toulouse, France - (3) High Institute of Electronic and Communication of Sfax, Tunisia - (4) National Engineering school of Sfax, Tunisia Sub-pixel temperatures estimation based on the assimilation of coarse resolution. Thermal Infrared data using particle filtering Melanie Ades (University of Reading, Reading, UK) and Peter Jan van Leeuwen Particle filters in high-dimensional systems Rafal Wojcik (Massachusetts Institute of Technology, Cambridge, USA), Dennis McLaughlin, Hamed Alemohammad and Dara Entekhabi Ensemble based fusion of noisy images

	Session 2. Miscellaneous
		Ashwanth Srinivasan (University of Miami, Coral Gables, USA), Mohamed Iskandarani, William C. Thacker and Omar M. Knio Data assimilation using a polynomial chaos based ensemble Heikki Järvinen (Finnish Meteorological Institute, Helsinki, Finland), Pirkka Ollinaho, Marko Laine, Antti Solonen and Heikki Haario Ensemble prediction systems in parameter estimation and forecast skill optimization Frédéric Chevallier (Laboratoire des Sciences du Climat et l'Environnement, Institut Pierre Simon Laplace des sciences de l'environnement, Gif-sur-Yvette, France) On the parallelization of CO2-flux inversion schemes Ralf Giering and Michael Vossbeck (FastOpt, Hamburg, Germany) Performance gains by computing ensemble responses simultaneously Lewis Mitchell (University of Vermon - USA. Lewis.Mitchell@uvm.edu) Georg Gottwald (University of Sydney - Australia) Ensemble data assimilation using stochastic homogenization in a slow-fast system with tipping points

	Session 3. Probabilistic Prediction
		Tim Palmer (University of Oxford, UK) Towards the Probabilistic Weather and Climate Prediction Simulator Luca Delle Monache (National Center for Atmospheric Research, NCAR, USA), F. Anthony Eckel (National Oceanic and Atmospheric Administration, NOAA, USA), Badrinath Nagarajan (NCAR), Daran Rife (GL Garrad Hassan, USA), Keith Searight (NCAR), Don Berchoff (NOAA), Martin Charron (Environment Canada, Canada), Ronal Frenette (Environment Canada), Jason Knievel (NCAR), Tim Mcclung (NOAA) and John Pace (Army Test and Evaluation Command, USA) Probabilistic Weather Prediction with an Analog Ensemble Michael Scheuerer (Heidelberg University, Germany) Probabilistic Quantitative Precipitation Forecasting Using Ensemble Model Output Statistics and Minimum CRPS Estimation Thomas Hamill (NOAA Earth System Research Lab, Physical Sciences Division, Boulder, USA), Jeffrey S. Whitaker, Don Murray and Gary Bates NOAA's multi-decadal global ensemble reforecast data set Leonard Smith (London School of Economics, UK) Guidance Information or Probability Forecast : Where do Ensembles Aim ? Laurent Descamps (Météo-France/DIRIC, Toulouse, France) and Carole Labadie (Météo-France/GMAP/RECYF, Toulouse, France) Ensemble post-processing methods for short-range ensemble forecasts

	Session 4. Kalman and Hybrid Filters. Theoretical Aspects
		Marc Bocquet (Université Paris-Est, CEREA joint laboratory Ecole des Ponts ParisTech and EdF R&D, France and INRIA, Paris Rocquencourt research centre, France Accounting for sampling errors in ensemble Kalman filtering Shin'ya Nakano and Genta Ueno (The Institute of Statistical Mathematics, Tokyo, Japan) Hybrid approach of ensemble transform and importance sampling for non-linear data assi David Livings and Peter Jan van Leeuwen (University of Reading, Reading, UK) Weighted Ensemble Square Root Filters for Non-linear, Non-Gaussian, Data Assimilation François Le Gland (INRIA Rennes, France) and Valérie Monbet (Université de Rennes 1, France) Large sample asymptotics for the ensemble Kalman filter

	Session 5. Kalman and Hybrid Filters. Continuation and Applications
		Sébastien Beyou, Anne Cuzol and Étienne Mémin (INRIA Rennes, France) Weighted Ensemble Transform Kalman Filter for Image Assimilation Stefano Migliorini (University of Reading, Reading, UK) Information-based data selection for ensemble data assimilation Georg Gottwald (University of Sydney, Australia), Lewis Mitchell and Sebastian Reich Constraining overestimation of error covariances in ensemble Kalman filters África Periáñez (Deutscher Wetterdienst, Offenbach am Main, Germany), Hendrik Reich and Roland Potthast Adaptive Localization for Ensemble Methods in Data Assimilation Tuomo Kauranne, Idrissa Amour and Zubeda Mussa (Lappeenranta University of Technology (LUT), Lappeenranta, Finland) Variational Ensemble Kalman filtering applied to shallow water equations Bertrand Bonan (Laboratoire Jean Kuntzmann, Institut national de recherche en informatique et en automatique, Université Joseph Fourier, INRIA/UJF, Grenoble, France), Maëlle Nodet (Laboratoire Jean Kuntzmann, INRIA/UJF, Grenoble, France) and Catherine Ritz (Laboratoire de Glaciologie et Géophysique de l'Environnement CNRS / UJF Grenoble, France) Ensemble Methods for ice sheet model initialisation Sébastien Barthélémy (Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique, CERFACS, Toulouse, France). Sophie Ricci (CERFACS, Toulouse, France), Olivier Pannekoucke (CNRM-GAME URA 1357, Toulouse, France), Olivier Thual (URA1875/CERFACS and INPT, CNRS, IMFT, Toulouse, France) and Pierre-Olivier Malaterre (UMR G-EAU, Irstea, Montpellier, France) Data Assimilation On A Flood Wave Propagation Model : Emulation Of An Ensemble Kalman Filter Algorithm Umer Altaf¹, Troy Butler², Xiaodong Luo¹, Clint Dawson², Talea Mayo² and Ibrahim Hoteit¹ ¹ King Abdullah University of Science and Technology, Thuwal, Saudi Arabia ² Insitute for Computational Engineering and Sciences (ICES), University of Texas at Austin, Texas 78712, USA Robust Ensemble filtering for efficient storm surge forecasting George Craig (Ludwig-Maximilians-Universität München, Germany), M. Würsch, H. Lange and M. Haslehner Applying an ensemble Kalman filter to complex convective cloud fields in a hierarchy of models

	Session 6. Ensemble Variational Assimilation
		Andrew Lorenc (Met Office, Exeter, UK), Neill Bowler and Peter Jermey 4D-Ensemble-Var - a Development Path for the Met Office's Data Assimilation Gérald Desroziers, Jean-Thomas Camino and Loïk Berre (CNRM-GAME, Météo-France and CNRS, Toulouse, France) A possible implementation of the 4D-Var based on a 4D-ensemble Milija Zupanski (Colorado State University, USA) Towards the development of hybrid variational-ensemble data assimilation: Minimization, Hessian preconditioning, and static error covariance model Thomas Auligné (National Center for Atmospheric Research, Colorado, USA) An Integrated Ensemble/Variational Hybrid Data Assimilation System Thibaut Montmerle (CNRM-GAME, Météo-France and CNRS, Toulouse, France) and Pauline Martinet Forecast errors in clouds and precipitation: diagnosis and modelling for the assimilation of cloudy radiances and radar data in the AROME model at convective scale Stephen Pring (Met Office, Exeter, UK) and David Fairbairn Comparing 4D-VAR and ensemble-VAR assimilation methods within toy models Mohamed Jardak (Laboratoire de Météorologie Dynamique, ENS, Paris, France) and Olivier Talagrand Bayesianity of Ensemble Variational Assimilation Yann Michel CNRM-GAME, Météo-France and CNRS - FRANCE Applying tests of univariate Gaussianity on short range forecasts from an ensemble of variational assimilations Ricardo Todling NASA/GMAO - USA. A. El Akkraoui, R. M. Errico, J. Guo, J. Kim, D. Kliest, D. F. Parrish, M. Suarez, A. Trayanov, Yannick Tremolet, J. Whitaker and B. Zhang Experimenting with the GMAO 4D Data Assimilation Max Yaremchuk (Naval Research Laboratory, Stennis Space Center, USA) and Dmitri Nechaev Localization of the ensemble covariances using the diffusion operator approach

	Session 7. (Quasi-)Operational Ensemble Prediction Systems
		Roberto Buizza (ECMWF, Reading, UK) (ECMWF) 20 years of ensemble prediction at ECMWF Carole Labadie (Météo-France, Toulouse, France) and Descamps, P. Cebron, Y. Michel, L.Raynaud, M. Boisserie, L. Berre, G. Desroziers and E. Bazile Initialization with ensemble data assimilation and singular vectors in PEARP, the Météo-France ensemble prediction system Jing Chen (The Center of Numerical Weather Prediction, China Meteorological Administration, Beijing, China), TIAN Hua, DENG Guo, LI Xiaoli, GONG Jiandong, LI Yinglin, WANG Xiaocong and HU Jiangkai The Introduction of Ensemble Prediction System at CMA and its application in monsoon season Masashi Ujiie (Japan Meteorological Agency, Tokyo, Japan), Haruki Yamaguchi, Masakazu Higaki and Masayuki Kyouda Current status and development of medium range EPS at JMA Christoph Gebhardt (Deutscher Wetterdienst, Offenbach am Main, Germany), Susanne E. Theis, Zied Ben Bouallegue, Andreas Roepnack, Nina Schuhen and Michael Buchhold COSMO-DE-EPS - an operational convection-permitting ensemble prediction system for the atmosphere Jonathan Flowerdew (Met Office, Exeter, UK) MOGREPS ensemble forecasting Piers Buchanan (Met Office, Exeter, UK) and Ken Mylne The Use of Met Office Ensemble Model data to Generate Severe Weather Forecasts Christopher Cunningham (Center for Weather Forecast and Climate Studies (CPTEC/INPE) Brazil christopher.cunningham@cptec.inpe.br), Jose Paulo Bonatti, Pedro Leite da Silva Dias Improvements of the eigenvector method to produce a ensemble of perturbed initial conditions for the CPTEC Ensemble Prediction System François Bouttier (Météo-France CNRM-GAME 42 Av Coriolis 31057 Toulouse, France), Olivier Nuissier, Laure Raynaud and Benoît Vié Regional short-range ensemble prediction with the AROME atmospheric system

	Session 8. (Quasi-)Operational Assimilation Systems
		Loïk Berre (CNRM-GAME, Météo-France and CNRS, Toulouse, France), Gérald Desroziers, Hubert Varella, Laure Raynaud, Carole Labadie and Laurent Descamps Variational ensemble data assimilation at Météo-France for covariance modelling and ensemble prediction Anna Shlyaeva (Hydrometeorological Research Center of Russia, Moscow, Russia), Vasily Mizyak and Mikhail Tolstykh Local Ensemble Transform Kalman Filter assimilation scheme for the global atmospheric model SL-AV Amal El Akkraoui (NASA/Global Modelling and Assimilation Office/Science Systems and Applications, Inc., Greenbelt, USA) and Ricardo Todling The GMAO 3DVAR-Hybrid Data Assimilation System Yonghong Yin (The Centre for Australian Weather and Climate Research, and the Bureau of Meteorology, Melbourne, Australia), Oscar Alves and Debra Hudson Ensemble data assimilation/initialisation for intra seasonal to seasonal prediction using POAMA at the Bureau of Meteorology Pau Escribà (ECMWF, Reading, UK, and Agencia Estatal de Meteorología, Barcelona, Spain), Massimo Bonavita, Mats Hamrud, Lars Isaksen and Paul Poli LETKF compared to 4DVAR for assimilation of surface pressure observations in IFS (ECMWF) Nils Gustafsson (Swedish Meteorological and Hydrological Institute, Norrköping, Sweden) and Jelena Bojarova (Norwegian Meteorological Institute, Oslo, Norway) Sensitivity to the ensemble generation approach in hybrid 4D-Variational ensemble data assimilation scheme in HIRLAM Christoph Schraff (Deutscher Wetterdienst, Offenbach am Main, Germany), Hendrik Reich and Andreas Rhodin Development of a LETKF for Km-scale Ensemble Data Assimilation for the COSMO model

	Session 9. Identification and Representation of Model Errors
		Carla Cardinali (ECMWF, Reading, UK), Nedjeljka Zagar, Gabor Radnoti and Roberto Buizza Representing model uncertainties in the ensemble data assimilation Renaud Marty (Chaire de recherche EDS en prévisions et actions hydrologiques,Département de génie civil et de génie des eaux, Université Laval, Canada.renaud.marty.1@ulaval.ca), Vincent Fortin (Recherche en prévision numérique environnementale, Environnement Canada, Dorval, Canada), Heri Kuswanto (Department of Statistics, Faculty of Mathematics and Natural Science, Institute Technology of Sepuluh Nopember (ITS), Surabaya 60111, East Java, Indonesia), Anne-Catherine Favre (Grenoble-INP/ENSE3, Laboratoire d'Etude des Transferts en Hydrologie et Environnement (LTHE), UMR 5564, Grenoble, F-38041, France), Eric Parent (Dpt. of Statistics, UMR518 AgroParis- Tech/INRA, 16 rue C Bernard, 75005 Paris, France) Bayesian Processor of Ensemble Members: combining the Bayesian Processor of Output with Bayesian Model Averaging for reliable weather forecasting So-Young Ha (National Center for Atmospheric Research, Boulder, USA), Chris Snyder and Judith Berner Model error representation in mesoscale WRF-DART cycling Alison Rudd (University of Reading, Reading, UK), Laura Baker, Stefano Migliorini and Ross Bannister Representation of model error in convective-scale ensembles Kirstin Kober (Meteorologisches Institut Ludwig-Maximilians-Universität München,Germany), George C. Craig, Tobias Selz and Annette Förster Stochastic parameterisations in multi-scale ensemble systems Alfons Callado (Spanish Meteorological Agency, Barcelona, Spain), G. Shutts, J--J.Morcrette and R. Forbes Stochastic Perturbation of Physical Parameterization Tendencies and Model Uncertainty

	Session 10. Further Developments
		Hailiang Du, Leonard A. Smith and Emma Suckling (The London School of Economics and Political Science, UK) Pseudo-orbit Gradient Descent Ensemble Method Vivien Mallet (INRIA & CEREA, France), Sergiy Zhuk (IBM Research, Dublin, Ireland) and Alexander Nakonechniy (Taras Shevchenko National University of Kiev, Kiev, The Ukraine) Ensemble forecast of analyses with uncertainty estimation C. Santos (Agencia Estatal de Meteorología (AEMET) - Spain. csantosb@aemet.es ), A. Amo, E. Abellán, A. Callado, P. Escribà, J. Sancho, J. Simarro AEMET-SREPS : past, present and future Ernest Koffi (Laboratoire des Sciences du Climat et l'Environnement, Institut Pierre Simon Laplace des sciences de l'environnement, Gif-sur-Yvette, France), S.Kuppel, P. Peylin, F.Chevallier and D. Santaren Variational vs. ensemble strategies to optimize the uncertain parameters of a terrestrial biosphere model Ehouarn Simon (NERSC - Norway), Annette Samuelsen, Laurent Bertino, Dany Dumont Estimation of positive sum-to-one constrained parameters with ensemble-based Kalman filters : application to an ocean ecosystem model

	Session 11. Evaluation and Validation
		Mark Buehner (Environment Canada, Canada), Josée Morneau and Cécilien Charrette A comparison of Ensemble-Variational data assimilation and 4D-Var for global deterministic weather prediction Simon Lang and Martin Leutbecher (ECMWF, Reading, UK) On the reliability of ensemble spread generated by singular vectors Tilmann Gneiting (Heidelberg University, Germany), Roman Schefzik and Thordis Thorarinsdottir Ensemble copula coupling: Towards physically consistent, calibrated probabilistic forecasts of spatio-temporal weather trajectories Giovanni Leoncini (Met Office, Exeter, UK) and Nigel. Roberts Convective scale ensemble at the Met Office Part II: new tools for assessment and evaluation Matthias Grzeschik (WESS-Water & Earth System Science Competence Center c/o University of Tübingen, Germany), Thomas Schwitalla, Hans-Stefan Bauer and Volker Wulfmeyer Capability of WRF 3D-Var and DART EnKF to represent covariance structures