• Created by Unknown User (moa), last modified on Jan 17, 2013

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 11 Next »

The aim of this page is to provide information and resources for the training course OP-WMO.  The course is suitable for those who have a genuine interest in ECMWF forecasting products and want to exploit fully the potential of these products in their daily duties, whether they are producing forecast bulletins or taking decisions that are affected by weather phenomena.

The courses are a mixture of standard classroom lectures and practical activities where real weather cases are analysed in details and attendees are expected to report on at the end of the training week. Networking among the attendees is encouraged by allocating time for the participants to present their work and share their previous experience with ECMWF products.

The courses are assessed by means of an online survey which allows the participants to include their feedback and suggestions for improvements. The learning outcomes are assessed separately using a self-evaluation method.

 

Resources and Activities

 

Pre-course activities

 EUMETCAL e-training modules:

VERIFICATION METHODS

 

WEBCASTs

if you cannot play it, please download the MP4 file (right click and choose 'Save link as' ) and play it locally with Windows media player, or quicktime or VLC (free software)

Practicals

Case studies 



 

You will be able to download lectures from here. Just click on the title!

Lecturer
Day 1
Day 2
Day 3
Day 4
Day 5
E. Andersson
Introducing ECMWF
    
P. Bechtold
  
Model Physics
  
J. Bidlot
    
Wave forecasting
M. Dahoui
  
Use of satellite observations
  
L. Ferranti
 
Seasonal forecasts: how do they work and how do we assess their value?
MJO and Monsoons
  
L. Isaksen
    
Data assimilation
F. Prates
  
Forecasting tropical cyclones in the medium range
  
D. Richardson
Ensemble forecasts: can they help making decisions?
    
I. Tsonevsky
 
Forecasting extreme events
   

 

 

navigate this space

Take the survey! click here

Blog Posts

 

 

 

  • No labels