Workshop on model uncertainty
Posters
This page lists all poster files provided to ECMWF for this event.
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Towards structure preserving discretizations of stochastic rotating shallow water equations on the sphere
Werner Bauer (Kingston University London)
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Evaluation of a Physically-Based Stochastic Boundary-Layer Perturbation Scheme using a Super-Ensemble
Peter Clark (University of Reading)
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Improving a probabilistic icing risk forecast system for wind farm operation
Rémi Dupont (CNRM - Meteo France & VALEMO)
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Technical implementation of SPP in HarmonEPS: single precision and other aspects
James Fannon (Met Éireann)
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The Importance of Uncertainty & Quality Indices for Working with Digital Twins in Earth Sciences–The DestinE Initiative
Philip Heinisch (TU-Braunschweig)
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Algorithmic Differentiation as Sensitivity Analysis in Cloud Microphysics
Maicon Hieronymus (Johannes Gutenberg University Mainz)
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Sensitivity of stochastic perturbation schemes to the data assimilation in ensemble forecast system
Ja-Young Hong (Korea Institute of Atmospheric Prediction Systems)
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Using uncertainty estimates from Bayesian inference to (de-)attribute drivers of fire events and emissions
Douglas Kelley (UK Centre for Ecology & Hydrology)
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Evaluation of the extended-range ensemble forecast experiments using the low-resolution KIM Hybrid 4D-EnVar system
Eun-Hee Lee (Korea Institute of Atmospheric Prediction Systems)
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Stochastically Perturbed Parameterization Scheme for the Soil Temperature and Moisture with an Optimized Tuning Parameters within an Ensemble Data Assimilation System
Sujeong Lim (Ewha Womans University)
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Evaluating the performance of a global ensemble prediction system over tropics using two different model physics perturbation schemes
Ashu Mamgain (NCMRWF)
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Uncertainty in the Coupled System”
Philip Pegion (NOAA/Physical Sciences Laboratory)
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The effect of stochatically perturbed parametrization tendencies (SPPT) on rapidly ascending air streams
Moritz Pickl (IMK-TRO, Karlsruhe Institute of Technology (KIT))
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Representation of model uncertainty in the ICON-D2-EPS ensemble using a physically based stochastic perturbation scheme
Matjaž Puh (Meteorological Institute Munich, LMU)
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Impact of Analysis Correction-based Additive Inflation on Integrated Vapor Transport
Carolyn Reynolds (US Naval Research Laboratory)
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The transition from practical to intrinsic predictability of midlatitude weather
Tobias Selz (LMU München)
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Sensitivity experiments for RTPS parameter in the low-resolution ensemble prediction system with KIM
Hong Seokmin (Korea Institute of Atmospheric Prediction Systems)
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Impact of Initial Condition and Physics Perturbations on convective scale ensemble forecasts of extreme precipitation events over India.
Kiran Prasad Siripurapu (National centre for medium range weather forecasting)
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Improving confidence in model-based Probable Maximum Precipitation : Assessing sources of model uncertainty in storm reconstruction and maximization
Emilie Tarouilly (UCLA)
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Stochastic perturbation of tropical cyclone initial conditions in the MOGREPS-G ensemble
Warren Tennant (Met Office)
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C-LAEF – status and development of model error representation
Florian Weidle (ZAMG)
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A stochastic and nonlinear representation of model uncertainty in a convective-scale ensemble prediction system
ZHIZHEN XU (Chinese Academy of Meteorological Sciences)
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A Comparison of Multiphysics and Multistochastic Methods within the GRAPES Mesoscale Ensemble Prediction System
Zhizheng Xu (Fudan University, Shanghai)
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