10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Developing an Ensemble Prediction System based on.

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10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Developing an Ensemble Prediction System based on COSMO-DE Project COSMO-DE-EPS Deutscher Wetterdienst Susanne Theis, Christoph Gebhardt, Michael Buchhold, Marcus Paulat, Roland Ohl, Zied Ben Bouallègue, Carlos Peralta

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Overview  Motivation for Project COSMO-DE-EPS  Tasks within Project  Current Status  where to get information

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Motivation for the Project Deutscher Wetterdienst

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Numerical Weather Prediction Model COSMO-DE  grid box size: 2,8 km  without parametrization of deep convection  assimilation of radar data  lead time: 0-21 hours  operational since April 2007 COSMO-EU GME COSMO-DE

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS mm/h Benefits of COSMO-DE COSMO-EU (7 km) Deutscher Wetterdienst COSMO-DE (2,8 km) captures extremes

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS mm/h COSMO-EU (7 km) COSMO-DE (2,8 km) Benefits of COSMO-DE Deutscher Wetterdienst looks more realistic

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS What about Deterministic Predictability? Deutscher Wetterdienst lead time Atmosphere is a chaotic system (Lorenz,1963)

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS lead time typical time scale typical spacial scale Scale Diagram Zyklonen Cumulo- nimbus 10 km1000 km 1 Stunde 1 Woche Predictability 100 m Deutscher Wetterdienst

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst COSMO-DE (2,8 km) mm/h

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS  paradigm shift from deterministic to probabilistic prediction Need for probabilistic approach  so that user really gets benefit Deutscher Wetterdienst COSMO-DE (2,8 km) mm/h

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Project COSMO-DE-EPS: Development of a convection-allowing Ensemble Prediction System Aims and Tasks Deutscher Wetterdienst

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Setting up an Ensemble System several predictions = „members“ of ensemble  very large investment of computing power „variations“ in prediction system ensemble products: - probability density fct - exceedance probs - quantiles - „spread“ - mean -... Deutscher Wetterdienst

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst How many ensemble members? 20 members, pre-operational 40 members, operational When? 2010 pre-operational 2011 operational

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Tasks within Project  implementation of perturbations  post-processing  verification & diagnostics  visualization  early user feedback

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Tasks within Project  implementation of perturbations  post-processing  verification & diagnostics  visualization  early user feedback

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Implementation of Perturbations

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Implementation of Perturbations X X initial conditionsboundary conditionsmodel physics

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Perturbation of the Model Deutscher Wetterdienst

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Perturbation of the Model Alter parameters in physics parametrizations entr_sc=  entrain_sc=0.002 rlam_heat=1.  rlam_heat=10. rlam_heat=1.  rlam_heat=0.1 …q_crit… …tur_len… requires careful tuning  affect forecast, but not long-term quality Deutscher Wetterdienst

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Perturbation of Boundary Conditions

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Perturbation of Boundary Conditions COSMO-EU GME COSMO-DE Reminder: operational chain

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Perturbation of Boundary Conditions COSMO-DE-EPS (DWD, Germany) COSMO-DE-EPS (DWD, Germany) Part of COSMO-SREPS (ARPA-SIMC, Bologna) Part of COSMO-SREPS (ARPA-SIMC, Bologna) Part of AEMet Ensemble (AEMet, Spain) Part of AEMet Ensemble (AEMet, Spain) (Garcia-Moya et al., 2007) (Marsigli et al., 2008) (Gebhardt et al. 2009)

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Perturbation of Boundary Conditions COSMO-DE-EPS (DWD, Germany) COSMO-DE-EPS (DWD, Germany) Part of COSMO-SREPS (ARPA-SIMC, Bologna) Part of COSMO-SREPS (ARPA-SIMC, Bologna) Part of AEMet Ensemble (AEMet, Spain) Part of AEMet Ensemble (AEMet, Spain) GMEIFSUMNCEP COSMO-DE (2,8km) COSMO

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Perturbation of Boundary Conditions long-term Plan: take boundaries from ICON Ensemble COSMO-DE-EPS (DWD, Germany) COSMO-DE-EPS (DWD, Germany) Part of COSMO-SREPS (ARPA-SIMC, Bologna) Part of COSMO-SREPS (ARPA-SIMC, Bologna) Part of AEMet Ensemble (AEMet, Spain) Part of AEMet Ensemble (AEMet, Spain) GMEIFSUMNCEP COSMO-DE (2,8km) COSMO

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Perturbation of Initial Conditions  first experiments: perturb “nudging” at forecast start  current work: use differences between control and COSMO-SREPS  plans: Ensemble Transform Kalman Filter (COSMO project KENDA)

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Current Status of Perturbation X X initial conditionsboundary conditionsmodel physics

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Back to the List of Tasks

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Tasks within Project  implementation of perturbations  post-processing  verification & diagnostics  visualization  early user feedback

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst More Information poster at this COSMO General Meeting past meetings: download presentations  contribution files future meetings: ECAM/EMS, SRNWP/EWGLAM, COSMO User Seminar publications: Gebhardt et al (2008): Experimental ensemble forecasts of precipitation based on a convection-resolving model. Atmospheric Science Letters 9, Gebhardt et al (2009): Uncertainties in COSMO-DE precipitation forecasts introduced by model perturbations and variation of lateral boundaries. Submitted to Atmospheric Research. contact:

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Extra Slides

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Current Experiments

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Current Status X X initial conditionsboundary conditionsmodel physics

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Current Experiments no perturbation of initial conditions GME IFS UM NCEP

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst no perturbation of initial conditions GME IFS UM NCEP Current Experiments

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst mm/24h 24h accumulations of precipitation [mm] 2 July 2007, 00 UTC + 24h

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst no perturbation of initial conditions GME IFS UM NCEP Current Experiments

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst mm/24h 24h accumulations of precipitation [mm] 2 July 2007, 00 UTC + 24h

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Ensemble Diagnostics - how do perturbations affect the forecast?

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Effect of perturbations on precipitation boundaries: dominate after a few hours (not necessarily, also case-dependent) physics: dominate during first few hours (Gebhardt et al., 2009)

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Ensemble Dispersion (precipitation) Normalized Variance Difference = variance (BC only) - variance (PHY only) normalized by sum of variances (Gebhardt et al., 2009)

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Ensemble Dispersion (precipitation) Normalized Variance Difference = variance (BC only) - variance (PHY only) normalized by sum of variances for individual days (Gebhardt et al., 2009)

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Ensemble Verification - how good is the Ensemble (at this stage)?

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Verification Data Sets RADAR

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst GME IFS UM NCEP Verification Data Sets (Ensemble Forecasts) Period: 1 July – 16 Sep 2008

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst GME IFS UM NCEP Verification Data Sets (Ensemble Forecasts) Period: 1 July – 16 Sep 2008

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst GME IFS UM NCEP Period: 1 July – 16 Sep 2008 when all 15 members available (60% of days) Verification Data Sets (Ensemble Forecasts)

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Probabilistic Verification Measures Traditional: - Brier Score, Brier Skill Score - ROC curve - Reliability Diagram - Talagrand Diagram

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Talagrand Diagram 24h precipitation Rank

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Talagrand Diagram 24h precipitation Rank observation

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Talagrand Diagram 24h precipitation Rank underdispersive ! - add IC perturbations and statistical PP ! - also look into more spread measures

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Future Plan: Statistical Postprocessing

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Statistical Postprocessing (just starting) Aim: improve quality of ensemble products (probabilities, quantiles, mean, entire pdf, extremes,…) Focus: Precipitation 1.exceedance probabilities (“30% probability of heavy rain”) 2. entire pdf, extremes?

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Statistical Postprocessing (just starting) Envisaged Methods: 1.Logistic Regression + spatio-temporal neighbourhood + lagged average ensemble 2. Bayesian Approach cooperation with P.Friederichs calibration of probabilities  entire pdf enhance sample

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Reaching the User

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Reaching the user (= “serve mankind”) make ensemble forecast accessible choose a good format and reduce information work towards acceptance work towards correct (useful) interpretation work towards integration into decision making increase trust in forecast provider

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Visualization in NinJo - make forecasts accessible - choose formats

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Visualization in NinJo NinJo = visualization tool for forecasters Challenge: -amount of data -good communication of complex matters -must fit into an existing system (NinJo) 1 computer scientist, 4 years (Roland Ohl)

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Exceedance Probabilities in % Probability of RR > 1 mm/h EPS Product Example:

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Quantiles range of 80% probability (= uncertainty) 1h-sums of precipitation [mm] 2m-temperature [°C] EPS Product Example: 10% probability (= risk): interesting for some users Deutscher Wetterdienst

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Further Plans: Ensemble Navigation Window (draft) also possible to look at individual members

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Early User Feedback - work towards acceptance - work towards useful interpretation

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Early User Feedback - Forecasters (DWD)

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS „Event somewhere in 2,8km-Box“ Deutscher Wetterdienst EPS Product Example: Probability Maps %

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS „Event somewhere in 2,8km-Box“ Deutscher Wetterdienst EPS Product Example: Probability Maps % Forecasters: Probabilities are too low!

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS „Event somewhere in 2,8km-Box“ Deutscher Wetterdienst EPS Product Example: Probability Maps % Forecasters: Probabilities are too low! Reason: Forecasters are used to larger reference regions  Experiment: present probabilities on coarser grid

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS „Event somewhere in 2,8km-Box“ Deutscher Wetterdienst EPS Product Example: Probability Maps % „Event somewhere in 28km-Box“ Forecasters: Probabilities are too low!

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Early User Feedback - Hydrologists

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst - atmosphere is chaotic system - limited predictability - specify uncertainties - better than giving out wrong forecasts This is me, talking to some hydrologists

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst - atmosphere is chaotic system - limited predictability - specify uncertainties - better than giving out wrong forecasts this will increase trust, because I am doing the right thing This is me, talking to some hydrologists

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst - atmosphere is chaotic system - limited predictability - specify uncertainties - better than giving out wrong forecasts Why don‘t you put all efforts into improving your model? Please point out the best member in your ensemble! this will increase trust, because I am doing the right thing

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst - atmosphere is chaotic system - limited predictability - specify uncertainties - better than giving out wrong forecasts Why don‘t you put all efforts into improving your model? Please point out the best member in your ensemble! this will increase trust, because I am doing the right thing I do not believe that the atmosphere is a chaotic system.

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst - atmosphere is chaotic system - limited predictability - specify uncertainties - better than giving out wrong forecasts Why don‘t you put all efforts into improving your model? Please point out the best member in your ensemble! this will increase trust, because I am doing the right thing I do not believe that the atmosphere is a chaotic system. I do not trust this forecast provider anymore

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst - atmosphere is chaotic system - limited predictability - specify uncertainties - better than giving out wrong forecasts Why don‘t you put all efforts into improving your model? Please point out the best member in your ensemble! this will increase trust, because I am doing the right thing I do not believe that the atmosphere is a chaotic system. I do not trust this forecast provider anymore Educate the user? Yes, and also understand the user.

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Research about the Users

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Center of Attention: The Model

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Center of Attention: The Human Being (WAS*IS Workshop, 2005)

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Literature about perception of ensemble forecasts: Demeritt, D., Cloke, H., Pappenberger, F., Thielen, J., Bartholmes, J. and M.-H. Ramos (2007): Ensemble predictions and perceptions of risk, uncertainty, and error in flood forecasting. Environmental Hazards 7, Gigerenzer, G., Hertwig, R., van den Broek, E., Fasolo, B. and K.V.Katsikopoulos (2005): „A 30% Chance of Rain Tomorrow“: How does the public understand probabilistic weather forecasts? Risk Analysis 25(3), Joslyn, S., Pak, K., Jones, D., Pyles, J. and E. Hunt (2007): The effect of probabilistic information on threshold forecasts. Weather and Forecasting 22, Morss, R.E., Demuth, J.L. and J.K. Lazo (2008): Communicating Uncertainty in Weather Forecasts: A Survey of the U.S. Public. Weather and Forecasting 23, Morss, R.E., Wilhelmi, V.W., Downton, M.W. and E. Gruntfest (2005): Flood risk, uncertainty, and scientific information for decision making: Lessons from an interdisciplinary project. Bulletin of the American Meteorological Society 86(11), National Research Council (2006): Completing the Forecast: Characterizing and Communicating Uncertaintiy for Better Decisions Using Weather and Climate Forecasts. National Academies Press, 124 pp. Roulston, M.S., Bolton, G.E., Kleit, A.N. and A.L. Sears-Collins (2006): A laboratory study of the benefits of including uncertainty information in weather forecasts. Weather and Forecasting 21, extremely interesting for me

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Back to the Project COSMO-DE-EPS: Summary and Challenges

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Summary of Project COSMO-DE-EPS setting up an ensemble with a complex NWP model one of the first convection-permitting ensembles (with operational perspective) simple approach first, improve later („just do it“) covering all parts of forecast chain (perturbations, products, postprocessing, verification, users)

10th September 2009Theis, Gebhardt, Buchhold, Paulat, Ohl, Ben Bouallègue, PeraltaProject COSMO-DE-EPS Deutscher Wetterdienst Challenges (Forecast Provider’s Perspective) “describe nature”: try to be scientifically appropriate  probabilistic approach “provide forecasts”: technical requirements: fast, stable, maintainable “serve mankind”: convey benefits to the real world