Inhalt
Technical report / Consortium for Small-Scale Modelling (COSMO). Offenbach am Main : Deutscher Wetterdienst, 2001-
Inhalt
- PDF 3 (2001) 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 21 (2013) 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 29 (2016) 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 30 (2017) A turbulence kinetic energy : solar variance turbulence parameterization scheme
- 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 40 (2019) 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 42 (2020) 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 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)
- 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. Introduction
- 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 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)