Inhalt

•  
  PDF  A methodology towards the hierarchy of COSMO parameter calibration tests via the domain sensitivity over the Mediterranean area
•  
  2 Contents
•  
  3 1. Abstract
•  
  3 2. Introduction
•  
  4 3. Model setup
•  
  7 4. Methodology
•  
  8 5. Discussion of the relative sensitivity of different domains
•  
  11 6. Conclusions
•  
  11 7. Acknowledgments
•  
  11 8. References
•  
  14 9. Appendix for Figs. 2 to 10
•  
  PDF  A new fast-waves solver for the Runge-Kutta dynamical core
•  
  2 Contents
•  
  4 1. Abstract
•  
  4 2. Introduction
•  
  6 3. The Euler equations
•  
  8 4. Discretization
•  
  14 5. Boundary conditions
•  
  17 6. The linear equation system for the vertical velocity
•  
  22 7. Stability of the divergence damping in tilted terrain
•  
  23 8. Discretization errors in a stretched grid
•  
  30 9. Idealized tests
•  
  38 10. Real cases
•  
  39 11. Conclusions
•  
  40 12. Acknowledgments
•  
  PDF  A scheme for monotonic numerical diffusion in the LM
•  
  1 1. Introduction
•  
  2 2. High-Order Numerical Smoothing
•  
  4 3. Monotonic Diffusion Operators
•  
  8 4. Results from Simple Tests Cases
•  
  11 5. An Orographic Flux Limiter
•  
  12 6. Results from Test Simulations with the LM
•  
  17 7. Results from Parallel Experiments
•  
  22 8. Implementation of the Scheme
•  
  23 9. Summary
•  
  24 References
•  
  PDF  A stochastic pattern generator for ensemble applications
•  
  2 Contents
•  
  5 1. Abstract
•  
  5 2. Introduction
•  
  8 3. SPG: Requirements
•  
  8 4. The proposed solution
•  
  9 5. Tentative first-order SPG model
•  
  13 6. Higher-order in time model
•  
  21 7. Time discrete solver for the third-order in time SPG model
•  
  25 8. Application to the COSMO model
•  
  28 9. Discussion
•  
  29 10. Conclusions
•  
  31 Appendix A: Illustration of the \proportionality of scales" property
•  
  33 Appendix B: Spatio-temporal structure of the driving 4-D noise
•  
  36 Appendix C: Physical-space approximation of the operator
•  
  39 Appendix D: Stationary statistics of a higher-order OSDE
•  
  41 Appendix E: Smoothness of sample paths of the spatial Matern random field for different
•  
  43 Appendix F: Stationary statistics of a time discrete higher-order OSDE
•  
  PDF  A turbulence kinetic energy
•  
  2 Contents
•  
  4 1. Introduction
•  
  7 2. Quasi-Conservative Variables
•  
  7 3. Transport Equations for Second-Order Moments
•  
  10 4. Truncated Reynolds-Stress and Scalar-Flux Equations
•  
  11 5. Parameterization of Pressure Scrambling, Third-Order Transport and Dissipation Effects
•  
  15 6. Time and Length Scales
•  
  17 7. Effect of Clouds on Mixing
•  
  24 8. Boundary-Layer Approximation
•  
  26 9. The (So-Called) Stability Functions
•  
  33 10. Interaction with the Underlying Surface
•  
  35 11. Equation for Scalar Skewness
•  
  38 12. Conclusions
•  
  40 13. Appendices
•  
  PDF  Analysis and evaluation of TERRA_URB Scheme
•  
  2 Contents
•  
  3 1. Introduction
•  
  4 2. Tasks and achievements
•  
  5 3. Activity performed at University of Ghent: perturbation experiments for Brussels during the 2003 heat wave (H. Wouters)
•  
  7 4. Activity performed at DWD: Improved processes in the land surface model TERRA: Bare soil evaporation and skin temperature (J.-P. Schulz, G. Vogel)
•  
  9 5. Activity performed ad CIRA: High resolution simulations for the resentation of Urban Heat Islands over South Italy (E. Bucchignani, P. Mercogliano)
•  
  17 6. Activities performed at RHM: high resolution simulations of the urban heat island of Moscow megacity (M. Varentsov, I. Rozinkina, G. Rivin, D. Blinov, A. Kirsanov)
•  
  25 7. Activities performed at Arpa Piemonte (V. Garbero, M. Milelli)
•  
  35 8. Conclusions
•  
  36 9. Acknowledgements
•  
  37 A: Appendix
•  
  PDF  Calibration of COSMO model, priority project CALMO
•  
  2 Contents
•  
  3 1. Abstract
•  
  4 2. Methodology
•  
  6 3. Tasks and achievements
•  
  12 4. The Meta-model (P. Khain, I. Carmona)
•  
  14 5. Sensitivity experiments and fitting strategy (E. Avgoustoglou)
•  
  17 6. Verification of COSMO-2 calibration (with the contribution of P. Kaufmann)
•  
  24 7. A case study (E. Bucchignani, P. Mercogliano, M. Milelli)
•  
  25 8. Conclusions
•  
  29 9. Appendix: list of model parameters
•  
  37 10. Appendix: highlights of sensitivity experiments
•  
  PDF  CALMO - Progress report
•  
  2 Contents
•  
  4 1. Introduction - CALMO project 4
•  
  4 2. Overview: different stages of the CALMO project
•  
  5 3. Short overview of the tuned parameters
•  
  7 4. Meta-Model
•  
  10 5. Performance scores
•  
  12 6. Convergence to the optimal parameters combination
•  
  13 7. TERRA stand-alone
•  
  14 8. CALMO stage-2
•  
  21 9. CALMO stage-3
•  
  27 10. Summary
•  
  30 A Appendix: Meta-Model code
•  
  PDF  COSMO priority project "Further Developments of the Runge-Kutta Time Integration Scheme" (RK)
•  
  2 Contents
•  
  3 1. Summary
•  
  4 2. Project report
•  
  4 2.1 Task 1: Looking at pressure bias
•  
  15 2.2 Task 2: Continue RK case studies
•  
  21 2.3 Task 3: A Tool for Testing Conservation Properties in the COSMO-Model
•  
  24 2.4 Task 4: Advection of moisture quantities in conservation form
•  
  26 2.5 Task 5: Investigation of convergence
•  
  36 2.6 Task 6: Deep valleys + Task 7: Different filter options for orography
•  
  38 2.7 Task 8: Higher order discretization in the vertical
•  
  39 2.8 Task 9: Physics coupling scheme
•  
  39 2.9 Task 10: Testing of alternative fast wave scheme
•  
  42 2.10 Task 13: Divergence damping in a true 3D-version
•  
  42 2.11 Task 14: Digital Filter Initialization (DFI)
•  
  44 2.12 Open points
•  
  44 2.13 Resources used
•  
  44 2.14 Lessons learned
•  
  44 3. Acknowledgements
•  
  45 4. References
•  
  PDF  COSMO priority project "INTERP"
•  
  2 Contents
•  
  3 1. Summary
•  
  4 2. General introduction
•  
  6 3. Fuzzy verification: theoretical aspects and application during the MAP D-PHASE DOP (T. Weusthoff, T. Bähler, F. Ament, MeteoSwiss)
•  
  15 4. Verification of DWD-models against high resolution precipitation and SYNOP measurements (U. Damrath, DWD)
•  
  22 5. Post-processing of COSMO-7 and COSMO-2 Precipitation with the Neigh- borhood Method (P. Kaufmann, MeteoSwiss)
•  
  28 6. Statistical properties of precipitation in boxes of various sizes (M. S. Tesini, C. Cacciamani, T. Paccagnella, ARPA-SIMC)
•  
  31 7. Open points
•  
  31 8. Contributing scientists
•  
  31 9. References
•  
  PDF  COSMO priority project "Short Range Ensemble Prediction System" (SREPS)
•  
  2 Contents
•  
  3 1. Summary
•  
  3 2. Project report
•  
  8 3. Results
•  
  28 4. Open points
•  
  28 5. Resources used
•  
  28 6. Lessons learned
•  
  29 7. Acknowledgements
•  
  PDF  COSMO priority project "Tackle Deficiencies in Quantitative Precipitation Forecast" (QPF)
•  
  2 Contents
•  
  3 1. Project report
•  
  28 2. Workshops and meetings
•  
  28 3. Presentation of QPF results
•  
  29 4. Test cases description
•  
  62 5. Acknowledgements
•  
  63 6. References
•  
  PDF  COSMO priority project "VERification System Unified Survey" (VERSUS)
•  
  2 Contents
•  
  3 1. Summary
•  
  3 2. Project report
•  
  6 2.1 Open points
•  
  7 2.2 Resources used
•  
  7 2.3 Lessons learned
•  
  8 3. Acknowledgements
•  
  PDF  COsmo Towards Ensembles at the Km-scale IN Our countries (COTEKINO)
•  
  2 Contents
•  
  3 1. Introduction
•  
  4 2. Initial Condition perturbations derived from KENDA
•  
  4 3. Model perturbations
•  
  23 4. Soil/surface perturbations
•  
  49 5. References
•  
  PDF  Description of some convective indices implemented in the COSMO model
•  
  2 Contents
•  
  3 1. Introduction
•  
  3 2. Parcel theory
•  
  3 3. Convective indices
•  
  14 A Table of Constants
•  
  14 B Grib parameters of indices
•  
  PDF  Documentation of the Z-coordinate dynamical core of LM
•  
   Table of contents
•  
  1 1. ŒIntroduction
•  
  2 2. ”Basic Numerical Concept
•  
  14 3. Time Integration and Numerical Solution
•  
  21 4. Numerical Smoothing
•  
  26 5. Results for Idealized Test Cases
•  
  28 6. Summary
•  
  30 References
•  
  31 Appendix
•  
  PDF  EUCOS impact study using the limited-area non-hydrostatic NWP model in operational use at MeteoSwiss
•  
  1 1. Context and Objectives
•  
  2 2. The NWP Model
•  
  3 3. The Assimilation Scheme
•  
  4 4. The Experimental Set-Up
•  
  6 5. Impact on Forecast Quality
•  
  15 6. Conclusion
•  
  16 Acknowledgements
•  
  PDF  Evaluation of empirical parameters of the new LM surface-layer parameterization scheme
•  
  2 1. Introduction
•  
  2 2. Background
•  
  5 3. Experiments Performed
•  
  6 4. Results
•  
  10 5. Conclusions
•  
  11 Acknowledgements
•  
  PDF  Evaluation of the performance of the COSMO-LEPS system
•  
  1 Contens
•  
  2 1. Introduction
•  
  3 2. Statistical analysis of the methodology
•  
  5 3. Objective verification
•  
  14 4. Parallel suite with model perturbations
•  
  18 5. COSMO-LEPS Subjective verification - Contribution by ARPAL, Genova, Italy (David Sacchetti)
•  
  25 6. Use of COSMO-LEPS at MeteoSwiss - Contribution by MeteoSwiss, Zürich, Switzerland (Andre' Walser and Marco Arpagaus)
•  
  30 7. Could the COSMO-LEPS system add value to operational forecasts of the DWD in the case of severe weather? - Contribution by the Forecast unit of the DWD in 2004 (Thomas Schumann)
•  
  36 8. Conclusions
•  
  PDF  Is the particle filtering approach appropriate for meso-scale data assimilation?
•  
  2 Contents
•  
  3 1. Introduction
•  
  3 2. Nonlinear filtering
•  
  5 3. Monte-Carlo filters
•  
  5 4. The bootstrap (SIR) filter
•  
  7 5. Inherent advantages and disadvantages of the SIR filter
•  
  7 6. Extensions to the SIR filter
•  
  9 7. Non-meteorological and non-oceanographic applications of particle filtering
•  
  10 8. Applications of particle filtering in meteorology and oceanography
•  
  12 9. Summary of the disadvantages of a hypothetical particle-filtering based meso-scale data assimilation scheme
•  
  14 10. Conclusions
•  
  14 11. Acknowledgements
•  
  14 12. References
•  
  LLM -the high-resolving nonhydrostatic simulation model in the DWD-Project LITFASS
•  
  PDF  1. Modelling technique and simulation method
•  
   Table of Contents
•  
  1 1. Introduction
•  
  4 2. Model Description
•  
  19 3. Parameterization of Subgrid-Scale Turbulence
•  
  30 4. External Forcing at the Lateral and Upper Boundary
•  
  35 5. Physical Forcing at the Lower Boundary
•  
  63 References
•  
  66 An Epilogue to Part I
•  
  PDF  Lorenz- and Charney-Phillips vertical grid experimentation using a compressible nonhydrostatic toy-model relevant to the fast-mode part of the "Lokal-Modell"
•  
  2 Contents
•  
  3 1. Introduction
•  
  5 2. A duplicate of Arakawa and Konor’s simulation
•  
  7 3. An LM fast-wave toy-model
•  
  22 4. Application of a radiative upper boundary condition
•  
  32 5. Simulations with LM - layering
•  
  34 6. Conclusion
•  
  35 7. References
•  
  PDF  Online trajectory module in COSMO
•  
  3 Contents
•  
  4 1. Introduction
•  
  4 2. Scientific rational
•  
  5 3. Implementation overview
•  
  5 4. Namelist settings
•  
  6 5. Start file
•  
  7 6. Output
•  
  9 7. Implementation details
•  
  PDF  Operational implementation of the multilayer soil model
•  
  2 Contents
•  
  3 1. Introduction, configuration of the multi-layer soil model
•  
  5 2. Operational use of the multi-layer soil model in the global model (GME) of DWD
•  
  10 3. Pre-operational and operational use in LME
•  
  10 4. Verification of soil temperature prediction over Germany
•  
  11 5. Long-term diagnostics for LME and GME
•  
  16 6. Changes after the operational implementation
•  
  17 7. Suggested future work
•  
  18 8. Summary
•  
  18 9. Acknowledgement
•  
  18 10. References
•  
  PDF  Parameterization of lakes in numerical weather prediction
•  
   Contents
•  
  1 1. Introduction
•  
  3 2. Background
•  
  12 3. Model Description
•  
  29 4. Conclusions
•  
  31 5. Appendices
•  
  PDF  Performance On Massively Parallel Architectures (POMPIA)
•  
  2 Contents
•  
  3 1. Introduction
•  
  4 2. Main achievements
•  
  7 3. Applications of the GPU and single precision capability
•  
  7 4. Lessons learned and outlook
•  
  PDF  RADAR_MIE_LM and RADAR_MIELIB calculation of radar reflectivity from model output
•  
  2 Contents
•  
  5 1. Preface
•  
  6 2. Introduction
•  
  7 3. Factors contributing to the radar "bright band"
•  
  7 4. Theoretical basis
•  
  18 5. Routines in radar_mielib
•  
  54 6. radar mie lm: Interface functions for the LM
•  
  68 7. Backscattering cross sections of dry ice particles
•  
  73 8. Backscattering cross sections for melting ice particles relative to the massequivalent water drop
•  
  168 9. Index of the Figures of Section 8
•  
  176 References
•  
  PDF  Seven years of activity in the field of mesoscale ensemble forecasting by the COSMO-LEPS system
•  
  2 Contents
•  
  3 1. Abstract
•  
  3 2. Introduction
•  
  4 3. Description of COSMO-LEPS operational system
•  
  6 4. Methodology of verification
•  
  9 5. Time-series results
•  
  17 6. Seasonal scores
•  
  21 7. Conclusions
•  
  22 8. Acknowledgments
•  
  23 9. References
•  
  PDF  Statistical analysis of high-resolution COSMO ensemble forecasts in view of data assimilation
•  
  2 Contents
•  
  5 1. Introduction
•  
  7 2. Data and Evaluation Method
•  
  11 3. Forecast Departure Statistics
•  
  25 4. Ensemble Anomaly Statistics
•  
  32 5. Further Results
•  
  42 6. Summary and conclusions
•  
  PDF  Studying Perturbations for the Representation of modeling uncertainties in Ensemble Development
•  
  2 Contents
•  
  3 1. Introduction
•  
  3 2. What we know (and what we do not know) about the spread/skill relation of our ensembles
•  
  21 3. Test and development of model perturbation
•  
  27 4. Test and development of perturbation for the model lower boundary
•  
  32 5. Ensemble post-processing
•  
  40 6. Initial Conditions for the CP ensembles
•  
  PDF  The CONSENS priority project
•  
  2 Contents
•  
  3 1. Abstract
•  
  3 2. Introduction
•  
  4 3. Model perturbations
•  
  13 4. Ensemble merging
•  
  20 5. Calibration
•  
  38 6. Conclusions
•  
  39 7. Acknowledgments
•  
  39 8. References
•  
  PDF  The COSMO priority project "COLOBOC"
•  
  2 Contents
•  
  4 1. Introduction
•  
  4 2. State of the modelling system at the start of the project
•  
  5 3. Tasks and achievements
•  
  9 4. Experiments towards an unified soil-vegetation atmosphere transfer scheme TERRA for global and limited-area numerical weather prediction
•  
  31 5. Documentation of a new multi-layers snow module
•  
  35 6. Implementation of the Martilli Urban Surface Parametrization in COSMO
•  
  71 7. References
•  
  PDF  The COSMO priority project "UTCS"
•  
  2 Contents
•  
  3 1. Introduction
•  
  3 2. Development and testing of the TKE-Scalar Variance mixing scheme for the COSMO model
•  
  5 3. Comprehensive testing and further development of the current COSMO- model turbulence scheme, including the surface-layer transfer scheme
•  
  10 4. Evaluation of SGS cloud schemes against satellite data and data from measurements in the surface air layer
•  
  12 5. References
•  
  PDF The COSMO Priority Project APSU
•  
   Vorderdeckel
•  
   Titelblatt
•  
  2 Contents
•  
  4 1. Abstract
•  
  4 2. Introduction
•  
  5 3. New model perturbation methods
•  
  34 4. Post-processing and interpretion of ensembles
•  
  41 5. Transition to ICON-LAM
•  
  49 6. Conclusions
•  
  50 7. Acknowledgements
•  
  50 8. References
•  
  54 List of COSMO Newsletters and Technical Reports
•  
  59 COSMO Technical Reports
•  
  PDF The COSMO Priority Project CARMA
•  
   Vorderdeckel
•  
   Titelblatt
•  
  2 Contents
•  
  4 1. Introduction
•  
  9 2. Description of Tasks
•  
  12 3. Timeline of Activities and Results
•  
  19 4. Conclusions and Outlook
•  
  20 5. Meetings
•  
  20 6. Documentation
•  
  21 7. Acknowledgments
•  
  21 List of COSMO Newsletters and Technical Reports
•  
  27 COSMO Technical Reports
•  
  PDF The COSMO Priority Project CDIC
•  
   Vorderdeckel
•  
   Titelblatt
•  
  2 Contents
•  
  3 1. Introduction
•  
  3 2. Brief oberview and comparison of the dnamical core formulations of ICON and COSMO
•  
  5 3. Idealized test cases
•  
  26 4. Scalability aspects
•  
  28 5. Application for special purposes (Climate, environmental appl.)
•  
  29 6. Conclusions
•  
  32 List of COSMO Newsletters and Technical Reports
•  
  37 COSMO Technical Reports
•  
  PDF  The COSMO priority project conservative dynamical core
•  
  2 Contents
•  
  5 1. Introduction
•  
  7 2. Dry benchmark experiments with the anelastic EULAG model
•  
  23 3. Moist benchmark experiments with the anelastic EULAG model
•  
  40 4. Semi-realistic ow over the Alps with the anelastic EULAG model
•  
  56 5. Semi-realistic ow over the Alps with the COSMO-EULAG model
•  
  69 6. MPDATA as an alternative tracer advection scheme
•  
  86 7. Normal mode analysis of anelastic and compressible equation sets
•  
  96 8. The finite volume implicit solver CONSOL
•  
  113 9. Acknowledgement
•  
  PDF  The COSMO priority project CORSO
•  
  2 Contents
•  
  4 1. Introduction
•  
  5 2. Actions proposed
•  
  6 3. Tasks, brief description
•  
  10 4. Development of High resolution COSMO-modeling for mountainous regions
•  
  22 5. Downscalling/post-processing for Sochi area and applications
•  
  44 6. Development and adaptation of COSMO EPSs for the Sochi region
•  
  63 7. References
•  
  PDF  The COSMO priority project CORSO-A
•  
  2 Contents
•  
  4 1. Introduction
•  
  5 2. SubTasks, brief description
•  
  8 3. The guidance of the optimal domain's size selection for 1.1 km resolution of nested COSMO models for the regions with complex mountain relief
•  
  22 4. Development of algorithm of subgrid h-correction of T2m for mountains based on COSMO forecasts of local lapse rate (h-correction)
•  
  23 5. COSMO-BASED ENSEMBLE FORECASTING FOR SOCHI-2014 OLYMPICS: ARCHIVING THE RESULTS
•  
  28 6. PREPARING OF RECOMMENDATIONS FOR FORECASTERS ABOUT FEATURES OF INTERPRETATION OF THE RESULTS OF MESO- SCALE MODELING (How to use the LAM mesoscale NWP results for mountain terrain)
•  
  43 7. Acknowledgements
•  
  44 A Appendix
•  
  PDF  The COSMO priority project INSPECT
•  
  2 Contents
•  
  4 1. Introduction
•  
  5 2. The main outcomes of PP INSPECT Summary
•  
  7 3. Filtering methods
•  
  23 4. Object-based methods
•  
  55 5. Sensitivity of COSMO-LEPS forecast skill to the verification network: application to MesoVICT cases
•  
  59 6. References
•  
  PDF The COSMO Priority Project T2 (RC)2
•  
   Vorderdeckel
•  
   Titelblatt
•  
  2 Contents
•  
  5 1. Introduction
•  
  6 2. Tasks and achievements
•  
  7 3. New optical properties for water droplets and ice particles in COSMO model
•  
  17 4. Monte-Carlo Spectral Integration
•  
  22 5. New parametrization for vertical microphysical profiles in shallow cumulus
•  
  33 6. New shallow convection shutdown scheme
•  
  48 7. Implementation of CAMS forecasted aerosols in COSMO radiation and microphysics schemes
•  
  70 8. Implementation of ICON-ART forecasted dust in COSMO radiation scheme
•  
  77 9. Verifications of the new COSMO radiation scheme in clear skies and cloudy skies conditions
•  
  85 10. Testing and tuning of the new cloud-radiation scheme
•  
  89 11. Acknowledgements
•  
  90 12. References
•  
  98 List of COSMO Newsletters and Technical Reports
•  
  103 COSMO Technical Reports
•  
  PDF  The COSMO priority project VERSUS2
•  
  2 Contents
•  
  3 1. Introduction
•  
  5 2. Tasks and achievements
•  
  8 3. Further developments
•  
  9 4. Conclusions
•  
  9 5. Meetings
•  
  10 6. User and technical Manual
•  
  10 7. References
•  
  PDF  The multi-layer version of the DWD soil model TERRA_LM
•  
  1 Abstract
•  
  2 1. Background
•  
  3 2. Comparision of EFR and HCE method
•  
  6 3. The influence of freezing/melting of soil water/ice on soil surface temperatures
•  
  11 4. A suggestion for fixing the vertical soil layer grid for the multi-layer HCE method
•  
  12 5. An updated version for computation of melting of snow cover
•  
  13 6. Conclusions and Outlook
•  
  14 References
•  
  PDF  The proof of the parameters calibration method
•  
  2 Contents
•  
  3 1. Introduction
•  
  4 2. The physically expected sensitivity to the tested parameters
•  
  11 3. The actual sensitivity to the tested parameters
•  
  20 4. The Meta-Model
•  
  24 5. Performance score
•  
  26 6. Results of parameters calibration
•  
  32 7. Conclusions and considerations towards the next stage of CALMO project
•  
  34 8. The Terra standalone (TSA) soil scheme for the CALMO project
•  
  35 9. Appendix A: Transform of the 2m-temperature observations to the model grid
•  
  37 10. Appendix B: Examples of stable and unstable conditions over Switzerland
•  
  39 11. Appendix C: MCH verification results for the optimal parameters simula- tion
•  
  PDF  Tracer module in the COSMO model
•  
  3 Contents
•  
  5 1. Introduction
•  
  6 2. Description of the tracer module
•  
  21 3. A short user's guide
•  
  27 4. Implementation details
•  
  30 5. Results
•  
  31 6. Issues and needs for further refinements
•  
  32 7. Conclusions
•  
  PDF  V.A.S.T. (Versus Additional Statistical Techniques) user manual (v2.0)
•  
  2 Contents
•  
  4 1. Introduction
•  
  5 2. Software description
•  
  6 3. Installation and compilation
•  
  7 4. Activities performed by the software
•  
  20 5. Use, recap for LIBSIM users
•  
  23 6. Verification methods
•  
  26 7. Output
•  
  30 8. Conclusions
•  
  30 9. Acknowledgments
•  
  31 10. References