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COSMO/CLM/ART Training Course

Training-Course 2016The 11th COSMO/CLM/ART Training-Course takes place from 12th to 20th March 2018 in the training center of the DWD in Langen near Frankfurt/Main. The course is targeted towards new users from universities and research institutions (PhD-students, postdocs, etc.), from COSMO members and from other National Weather Services (NWS). We invite students and scientists interested in working with COSMO / COSMO-CLM / COSMO-ART to participate in this Training Course.

 

The course "Capacity Building in NWP" for operational users and colleagues from developing countries will this time be organized separately later in 2018. A separate announcement will be sent out in due time.

 

The first week of the course is devoted to provide a basic training on the theory and usage of the model in NWP and RCM mode as well as in an idealized framework. Some extra lessons (see below) will be given on Monday and Tuesday. 

 

blue arrow Invitation and final program

blue arrow Timetable

blue arrow Registration form

blue arrow Please note that the guesthouse at the BTZ is no longer available. We have a block reservation in the ACHAT Hotel Langen.

blue arrow VISA Support

blue arrow The course materials the latest course can be found below.

  

Generally, the course consists of theoretical lessons and practical exercises.

 
During the first week, Lectures on the different components of the model (dynamics and numerics, physical parameterizations, data assimilation) are offered by the model developers with emphasis on standard applications. In addition, there are two theoretical lessons with parallel presentations for NWP (Data Assimilation and Verification) and Climate (Dynamics on long time scales and Evaluation).

The practical exercises give the opportunity to compile the programs, run the model and analyse the output of NWP and RCM runs using standard scripts. They are offered in parallel for three different groups:

  1. NWP research applications, and
  2. climate research applications.
  3. Additionally, a special exercise will be devoted to idealized simulations.

On Monday and Tuesday in the second week, there are special sessions on:

 

  1. Detailed aerosol- and chemistry dispersion modeling using COSMO-ART (NWP-mode only).

  2. How to compile and run COSMO with the accelerated dynamical core (C++) version and overview of the C++ code to enable basic modifications and additions, which might be required within PhD projects or other applications of the COSMO model. Will be offered only if enough number of interested people by mid of December.

Prerequisites

Please note that we expect a certain familiarity with Fortran 90/95/2003, with the basics of command line driven usage of a Unix / Linux system and with some basic tools (shell-scripting, emacs, vi, ...). If you are not yet familiar with the latter, you can find links to some introductory tutorials under "Additional Material" below.

 

In case of further question, please, contact COSMO-CCLM.Training@dwd.de.

 


 

Material from COSMO/CLM/ART Training Course 2017

The 10th COSMO/CLM/ART Training took place from 27th  March - 04th April 2017 in the training center of the DWD in Langen near Frankfurt/Main. The course was targeted towards new users from universities and research institutions (PhD-students, postdocs, etc.), from COSMO members and from other National Weather Services (NWS) - COSMO licensees or developing countries - who are running the model operationally. We invited students and scientists interested to work or already working with COSMO/ CLM to participate in this Training Course. Gruppenbild COSMO/CLM/ART Training Course 2017

 

The COSMO-Model together with the preprocessing package is a state of the art, unified, nonhydrostatic model system for simulating the processes of the atmosphere, for numerical weather prediction (NWP), regional climate modelling (RCM), and dispersion modelling (ART - Aerosol and Reactive Trace gases). The COSMO-Model in RCM mode allows for coupling of the Community Land Model via the OASIS coupling software, as an alternative soil- and vegetation model to the standard TERRA_ML module.

Lectures on the different components of the model (dynamics and numerics, physical parameterizations, data assimilation) have be offered by the model developers with emphasis on standard applications as well as idealized simulations. The practical exercises offered the opportunity to compile the programs, run the model and analyse the output of NWP-, RCM- and ART runs using standard scripts.

 

The first week of the course (March 27th to 31th, 2017) was devoted to provide a basic training on the theory and usage of the model in NWP and RCM mode as well as in an idealized framework. Some extra lessons (see below) were given on Monday and Tuesday April 03rd to 04th, 2017.

blue arrow More informations can be found here

blue arrow Timetable

 

On Monday and Tuesday in the second week, there was a special session on detailed aerosol- and chemistry dispersion modeling using COSMO-ART.


 

Training materials

 

I. Theory Lessons (THE)

 

1. Model Overview by Schättler (Presentation)

2. Dynamics and Numerics by Baldauf (Presentation)

3. Physical Parameteriazations

4. Verification for NWP by Fundel (Presentation)

5. Data Assimilation for NWP by Schraff (Presentation)

6. Dynamics on long time scales by Will

7. Evaluation of CLM runs by Anders (Presentation)

8. Aerosols, Clouds and Radiation by B. Vogel et al. (PresentationI/PresentationII)

 

II. Practical Exercises

The schedule of the practical exercises is included in the invitation and the attached program. The COSMO_tutorial describes the compilation of the source code of the model, the structure of the required input data, and several options for running the model in the NWP-mode and in the climate-mode. The tutorial contains descriptions of exercises, tips for troubleshooting and data visualization of the model output in the GRIP and NetCDF formats. Additional exercises are offered for advanced users.

 

The practical Exercises have been coordinated by the following colleagues:

 

NWP-team: U. Schättler, U. Blahak, A. de Lozar

RCM-team: B. Rockel, M. Tölle, C. Steger, I. Anders, A. Will

ART-team: B. Vogel, H. Vogel, K. Deetz, S. Gruber

ITC-team: M. Baldauf, U. Blahak


0. Tutorial

1. NWP: Installation of the Model System (Presentation) U. Schättler / U. Blahak/ de Lozar

2. NWP: Preparing external, initial and boundary data - Running INT2LM (Presentation) U. Schättler / U. Blahak / de Lozar

3. NWP: Running the COSMO-Model in NWP- / Climate-Mode (Presentation) U. Schättler / U. Blahak / de Lozar

4. NWP: Visualization and analysis of GRIB / NetCDF Files (Presentation) U. Schättler / de Lozar

5. NWP: Trouble Shooting in NWP- /Climate-Mode (Presentation) U. Schättler / U. Blahak / A. Smalla

6. Individual exercises

7. Running Idealized Cases (Presentation, Documentation, Help on runscript framework for real cases and idealized casesM. Baldauf, U. Blahak / U. Schättler

8. Running COSMO-ART (Monday and Tuesday 2nd week) - H. Vogel (Link to KIT ART website, password protected for registered ART users)

9. Exercises for RCM - RCM-Team (Presentation)
 

III. Configuration of the model system

 

The COSMO model system has more than 150 configuration parameters which control the model physics, dynamics and input/output. Several evaluated standard configurations are offered for the COSMO-CLM setup (see the above RCM presentation under 7.).

 

All namelist parameters are documented in the User Guides for COSMO and INT2LM. There is also the namelist tool, which offers powerful tools for namelist documentation, configuration comparisons etc.

 

IV. Additional Material

1. Additional namelist documentation

2. Extended Model Documentation

3. CCLM Starter Package (logged in members only)

4. Please revise your unix skills, e.g.

4.1 Unix tutorial of Univ. of Surrey:http://www.ee.surrey.ac.uk/Teaching/Unix/unixintro.html

4.2 Unix tutorial of DWD-KU: (pdf)

4.3 Unix command overview for beginners: http://www.cheat-sheets.org/saved-copy/fwunixref.pdf

 



 

Previous training course (archive, login necessary)

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