Posters NP5.1
Attendance Time: Wednesday, 20 April 2016, 17:30–19:00 Hall A 

A.319

EGU20161557
Possible sources of forecast errors generated by the GRAPES model for landfalling tropical cyclones. Part I: initial uncertainties Feifan Zhou, Munehiko Yamaguchi, and Xiaohao Qin 
Hall A 

A.320

EGU20161985
On the predictability of extremes: does the butterfly effect ever decrease? Alef Sterk, David Stephenson, Mark Holland, and Ken Mylne 
Hall A 

A.321

EGU20161850
Key observing locations for advancing beyond the winter predictability barrier of Indian Ocean dipole event predictions Rong Feng, Wansuo Duan, and Mu Mu 
Hall A 

A.322

EGU20161383
The sensitive area for targeting observation associated with two types of El Niño events Xuquan Li and Wansuo Duan 
Hall A 

A.323

EGU201610265
Improving ensemble forecasting with qnorm bred vectors Diego Pazo, Juan Manuel Lopez, and Miguel Angel Rodriguez 
Hall A 

A.324

EGU20161408
Relationships between Optimal Precursors Triggering the Onset of North Atlantic Oscillation Events and Optimally Growing Initial Errors during Onset Prediction Guokun Dai, Mu Mu, and Zhina Jiang 
Hall A 

A.325

EGU20161409
The initial errors that induce a significant “spring predictability barrier” for El Niño events and their implications for target observation: results from an earth system model Junya Hu and Wansuo Duan 
Hall A 

A.326

EGU201617135
Sampling strategies based on singular vectors for assimilated models in ocean forecasting systems Maria Fattorini, Carlo Brandini, and Alberto Ortolani 
Hall A 

A.327

EGU20162760
Application of identified sensitive physical parameters in reducing the uncertainty of numerical simulation Guodong Sun and Mu Mu 
Hall A 

A.328

EGU20165909
Statistical and Dynamical Properties of Covariant Lyapunov Vectors in a Coupled AtmosphereOcean Model – Error dynamics. Stéphane Vannitsem and Valerio Lucarini 
Hall A 

A.329

EGU201618123
Revealing the most disturbing tendency error of ZebiakCane model associated with El Nino predictions by nonlinear forcing singular vector approach Wansuo Duan 
Hall A 

A.330

EGU20163953
Comparison of different assimilation schemes in an operational assimilation system with Ensemble Kalman Filter Yajing Yan, Alexander Barth, JeanMarie Beckers, Guillem Candille, JeanMichel Brankart, and Pierre Brasseur 
Hall A 

A.331

EGU201610670
Soil moisture assimilation using a modified ensemble transform Kalman filter with water balance constraint Guocan Wu, Xiaogu Zheng, and Bo Dan 
Hall A 

A.332

EGU20166008
Variational estimation of process parameters in a simplified atmospheric general circulation model Guokun Lv, Armin Koehl, and Detlef Stammer 
Hall A 

A.333

EGU2016603
 presentation
Variational data assimilation schemes for transport and transformation models of atmospheric chemistry Alexey Penenko, Vladimir Penenko, Elena Tsvetova, and Pavel Antokhin 
Hall A 

A.334

EGU201614991
Allowing for model error in strong constraint 4DVar Katherine Howes, Amos Lawless, and Alison Fowler 
Hall A 

A.335 
EGU201615808
Dynamics of the winds, moisture and aerosols in the fourdimensional variational data assimilation (withdrawn) Žiga Zaplotnik and Nedjeljka Žagar 
Hall A 

A.336

EGU201614836
Ensemble variational data assimilation with a shallowwater model : preliminary results Julien Brajard, Jérôme Sirven, and Olivier Talagrand 
Hall A 

A.337

EGU201610019
Coupled OceanAtmosphere 4DVar: Formulation and Sensitivity Analysis Results Hans Ngodock, Matthew Carrier, Liang Xu, Clark Amerault, Tim Campbell, and Clark Rowley 
Hall A 

A.338

EGU201611580
Assimilation of ModeS EHS aircraft observations with a local EnKF Heiner Lange and Tijana Janjic 
Hall A 

A.339

EGU201613208
Conservation laws and LETKF with 2D Shallow Water Model Yuefei Zeng and Tijana Janjic 
Hall A 

A.340

EGU201613405
An adaptive additive inflation scheme for Ensemble Kalman Filters Matthias Sommer and Tijana Janjic 
Hall A 

A.341

EGU20163478
 presentation
The finitesize EnKF and inflation Patrick Raanes and Marc Bocquet 
Hall A 

A.342

EGU20162322
Multilevel Ensemble Transform Particle Filtering Alastair Gregory, Colin Cotter, and Sebastian Reich 
Hall A 

A.343

EGU20163816
Nonintrusive Ensemble Kalman filtering for large scale geophysical models Idrissa Amour and Tuomo Kauranne 
Hall A 

A.344

EGU20164597
Hierarchical Bayes Ensemble Kalman Filter for geophysical data assimilation Michael Tsyrulnikov and Alexander Rakitko 
Hall A 

A.345

EGU201613669
A localized particle filter for data assimilation in highdimensional geophysical models. Jonathan Poterjoy and Jeffrey Anderon 
Hall A 

A.346

EGU20167953
A backtracking algorithm that deals with particle filter degeneracy Rein Baarsma, Oliver Schmitz, and Derek Karssenberg 
Hall A 

A.347

EGU201612664
Exploring synchronisation in nonlinear data assimilation Flavia RodriguesPinheiro and Peter Jan van Leeuwen 
Hall A 

A.348

EGU20165389
A novel datadriven approach to model error estimation in Data Assimilation Sahani Pathiraja, Hamid Moradkhani, Lucy Marshall, and Ashish Sharma 
Hall A 

A.349

EGU201617182
Handling boundaries with the recursive filter Isabelle Mirouze and Andrea Storto 
Hall A 

A.351

EGU201613114
 presentation
Assimilation of temperature and salinity profile data in the Norwegian Climate Prediction Model Yiguo Wang, Francois Counillon, Laurent Bertino, Ingo Bethke, and Noel Keenlyside 
Hall A 

A.352

EGU201614835
Correcting Biases in a lower resolution global circulation model with data assimilation Martin Canter and Alexander Barth 
Hall A 

A.353

EGU201613585
The compressible adjoint equations in geodynamics: equations and numerical assessment Siavash Ghelichkhan and HansPeter Bunge 
Hall A 

A.354

EGU20163168
Estimation of volcanic ash emissions from satellite data using trajectorybased 4DVar Sha Lu, Haixiang Lin, Arnold Heemink, Arjo Segers, and Guangliang Fu 
Hall A 

A.355

EGU20163130
DART: New Research Using Ensemble Data Assimilation in Geophysical Models Jeffrey Anderson, Kevin Raeder, Tim Hoar, Nancy Collins, Glen Romine, Jerome Barre, Benjamin Gaubert, Ave Arellano, and Stephanie Wuerth 