Posters NP5.1
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Attendance Time: Wednesday, 20 April 2016, 17:30–19:00 Hall A |
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A.319
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EGU2016-1557
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 |
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A.320
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EGU2016-1985
On the predictability of extremes: does the butterfly effect ever decrease? Alef Sterk, David Stephenson, Mark Holland, and Ken Mylne |
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A.321
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EGU2016-1850
Key observing locations for advancing beyond the winter predictability barrier of Indian Ocean dipole event predictions Rong Feng, Wansuo Duan, and Mu Mu |
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A.322
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EGU2016-1383
The sensitive area for targeting observation associated with two types of El Niño events Xuquan Li and Wansuo Duan |
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A.323
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EGU2016-10265
Improving ensemble forecasting with q-norm bred vectors Diego Pazo, Juan Manuel Lopez, and Miguel Angel Rodriguez |
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A.324
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EGU2016-1408
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 |
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A.325
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EGU2016-1409
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 |
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A.326
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EGU2016-17135
Sampling strategies based on singular vectors for assimilated models in ocean forecasting systems Maria Fattorini, Carlo Brandini, and Alberto Ortolani |
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A.327
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EGU2016-2760
Application of identified sensitive physical parameters in reducing the uncertainty of numerical simulation Guodong Sun and Mu Mu |
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A.328
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EGU2016-5909
Statistical and Dynamical Properties of Covariant Lyapunov Vectors in a Coupled Atmosphere-Ocean Model – Error dynamics. Stéphane Vannitsem and Valerio Lucarini |
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A.329
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EGU2016-18123
Revealing the most disturbing tendency error of Zebiak-Cane model associated with El Nino predictions by nonlinear forcing singular vector approach Wansuo Duan |
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A.330
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EGU2016-3953
Comparison of different assimilation schemes in an operational assimilation system with Ensemble Kalman Filter Yajing Yan, Alexander Barth, Jean-Marie Beckers, Guillem Candille, Jean-Michel Brankart, and Pierre Brasseur |
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A.331
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EGU2016-10670
Soil moisture assimilation using a modified ensemble transform Kalman filter with water balance constraint Guocan Wu, Xiaogu Zheng, and Bo Dan |
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A.332
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EGU2016-6008
Variational estimation of process parameters in a simplified atmospheric general circulation model Guokun Lv, Armin Koehl, and Detlef Stammer |
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A.333
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EGU2016-603
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Variational data assimilation schemes for transport and transformation models of atmospheric chemistry Alexey Penenko, Vladimir Penenko, Elena Tsvetova, and Pavel Antokhin |
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A.334
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EGU2016-14991
Allowing for model error in strong constraint 4D-Var Katherine Howes, Amos Lawless, and Alison Fowler |
| A.335 |
EGU2016-15808
Dynamics of the winds, moisture and aerosols in the four-dimensional variational data assimilation (withdrawn) Žiga Zaplotnik and Nedjeljka Žagar |
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A.336
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EGU2016-14836
Ensemble variational data assimilation with a shallow-water model : preliminary results Julien Brajard, Jérôme Sirven, and Olivier Talagrand |
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A.337
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EGU2016-10019
Coupled Ocean-Atmosphere 4D-Var: Formulation and Sensitivity Analysis Results Hans Ngodock, Matthew Carrier, Liang Xu, Clark Amerault, Tim Campbell, and Clark Rowley |
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A.338
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EGU2016-11580
Assimilation of Mode-S EHS aircraft observations with a local EnKF Heiner Lange and Tijana Janjic |
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A.339
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EGU2016-13208
Conservation laws and LETKF with 2D Shallow Water Model Yuefei Zeng and Tijana Janjic |
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A.340
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EGU2016-13405
An adaptive additive inflation scheme for Ensemble Kalman Filters Matthias Sommer and Tijana Janjic |
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A.341
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EGU2016-3478
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The finite-size EnKF and inflation Patrick Raanes and Marc Bocquet |
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A.342
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EGU2016-2322
Multilevel Ensemble Transform Particle Filtering Alastair Gregory, Colin Cotter, and Sebastian Reich |
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A.343
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EGU2016-3816
Non-intrusive Ensemble Kalman filtering for large scale geophysical models Idrissa Amour and Tuomo Kauranne |
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A.344
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EGU2016-4597
Hierarchical Bayes Ensemble Kalman Filter for geophysical data assimilation Michael Tsyrulnikov and Alexander Rakitko |
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A.345
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EGU2016-13669
A localized particle filter for data assimilation in high-dimensional geophysical models. Jonathan Poterjoy and Jeffrey Anderon |
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A.346
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EGU2016-7953
A backtracking algorithm that deals with particle filter degeneracy Rein Baarsma, Oliver Schmitz, and Derek Karssenberg |
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A.347
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EGU2016-12664
Exploring synchronisation in nonlinear data assimilation Flavia Rodrigues-Pinheiro and Peter Jan van Leeuwen |
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A.348
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EGU2016-5389
A novel data-driven approach to model error estimation in Data Assimilation Sahani Pathiraja, Hamid Moradkhani, Lucy Marshall, and Ashish Sharma |
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A.349
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EGU2016-17182
Handling boundaries with the recursive filter Isabelle Mirouze and Andrea Storto |
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A.351
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EGU2016-13114
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Assimilation of temperature and salinity profile data in the Norwegian Climate Prediction Model Yiguo Wang, Francois Counillon, Laurent Bertino, Ingo Bethke, and Noel Keenlyside |
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A.352
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EGU2016-14835
Correcting Biases in a lower resolution global circulation model with data assimilation Martin Canter and Alexander Barth |
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A.353
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EGU2016-13585
The compressible adjoint equations in geodynamics: equations and numerical assessment Siavash Ghelichkhan and Hans-Peter Bunge |
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A.354
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EGU2016-3168
Estimation of volcanic ash emissions from satellite data using trajectory-based 4D-Var Sha Lu, Haixiang Lin, Arnold Heemink, Arjo Segers, and Guangliang Fu |
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A.355
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EGU2016-3130
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 |