1st VALUE training school: "Introduction to Dynamical and Statistical Downscaling"

The first VALUE training school, entitled "statistical and dynamical downscaling", will be held from 6-15 Nov in Santander, Spain, hosted by the Santander Meteorology Group of University of Cantabria (UC) - National Research Council (CSIC).

Lecturers Training sessions
Jens H. Christensen (DMI) Rasmus Benestad (met.no)
Rasmus Benestad (met.no) Chiara Ambrosino (Univ. College London)
Martin Widmann (Univ. Birmingham) Markel García (UC)
Chiara Ambrosino (Univ. College London) Joaquín Bedia (CSIC-UC)
Jesús Fernández (UC) Valvanuz Fernández-Quiruelas (UC)
José M. Gutiérrez (CSIC-UC) Carlos Blanco (UC)
  Daniel San-Martín (UC)
  Jesús Fernández (UC)
  José M. Gutiérrez (CSIC-UC)

Participants in the 1st VALUE Training School

Morning sessions: 9:00-11:00, 11:30-13:30. Afternoon sessions: 15:00-18:00.

Program (the first block is devoted to dynamical downscaling, whereas the second block is devoted to statistical downscaling):

6/11/2012 Tuesday
Morning 
Presentation of the training school and VALUE overview [slides] [VALUE overview]
Introduction to Global Climate Models from a downscaling perspective (J.M. Gutiérrez) [slides]
Introduction to Regional Climate Modeling, RCMs (J. Christensen) 
Physical parameterizations (J. Fernández) [slides
Afternoon
RCM multi-physics ensembles and parameterization sensitivity (J. Fernández) [slides]
Limitations of RCMs and bias correction (J. Christensen)
The CORDEX initiative (J. Fernández) [slides]

7/11/2012 Wednesday
Morning
Results from the ENSEMBLES project (J. Christensen) 
Training session 1. Introduction to the R package (NetCDF-oriented) (J. Bedia) [slides]
Afternoon
Introduction to WRF (M. García) [slides]
Training session 2. The WRF4G package (V. Fernández-Quiruelas) [slides

8-9/11/2012
Traning session 3. Reginal climate modeling with WRF4G (J. Fernández, M. García) [slides]
The first objective of this training session is running reanalysis-driven simulations with WRF using the Euro-CORDEX domain, considering different physical schemes of the WRF model. A secondary objective is analyzing the results, using the R package, to produce simple comparison metrics, such as Taylor diagrams.

12/11/2012
Morning
Introduction to statistical downscaling (R. Benestad) [slides1 slides2]
Perfect prognosis techniques (J.M. Gutiérrez) [slides]
Model Output Statistics (MOS) approaches (M. Widmann) [slides] [JGR paper on MOS-RCMs]
Afternoon 
Traning session 4. The clim.pact R package (R. Benestad) [slides]

13/11/2012
Morning
Limitations of the statistical downscaling approach (R. Benestad, J.M. Gutiérrez) [slides] [test for nonstationarity: JClim paper]
Introduction to vGLMs and MLE (M. Widmann) [slides]
GLMs and the GlimClim package (C. Ambrosino) [slides]
Afternoon
Traning session 5. The GlimClim standalone package (C. Ambrosino) [Package-tutorial]

14/11/2013
Morning
An introduction to validation (M. Widmann) [slides
Introuction to EOFs and coupled patterns (M. Widmann) [slides
Introduction to ESGF: Moving from AR4 towards AR5 (Antonio S. Cofiño) [slides]
Afternoon
Introduction to the statistical downscaling portal (M.D. Frías) [slides] [tutorial

15/11/2013
Traning session 6. The statistical downscaling portal (M.D. Frías) [web application]  
The objective of this training session is to callibrate standard statistical downscaling methods in perfect prognosis conditions (including analogs, regression, neural networks, and GLMs) in a particular european country/region. This will be done based on the validation results obtained with different scores, which are available through the portal. The calibrated statistical downscaling methods will be used afterwards to obtain regional projections using GCM data from the ENSEMBLES project. 

Supported by CORWES and WRF4G projects, from Spanish I+D+i program

=> Applications.

Teaser:

The first VALUE training school, entitled "statistical and dynamical downscaling", will be held from 6-15 Nov in Santander, Spain, hosted by the Santander Meteorology Group of University of Cantabria (UC) - National Research Council (CSIC).