Practical Training: Plotting Model outputs using Matlab :

Practical Training:

Plotting Model outputs using Matlab:Time series, vertical profiles, 2D plot

Canadian Network for Regional Climate and Weather Processes

Contact: oumarou.nikiema@uqam.ca nikiema@sca.uqam.ca

Bureau: PK 6425

Model output ConfigurationIn practice, model data are in 5D format:

Variable of interest: temperature, Wind, … Valid Time Vertical position: pressure (hPa), height

(m), … Latitude position Longitude position

Example: TT(2005010103,500hPa,30°N,60°W)

Login to the Computer …Access to Skynet3:

ssh -Y wh01@skynet3.sca.uqam.ca

Copy the directory in your home: cp –r /home/nikiema/Workshop_CNRCWP ./

Enter into the work directory:cd Workshop_CNRCWP

Check the list of files in your directory:ls –al

Open Matlab:matlab&

In Directory: /skynet3_exec2/nikiema/Data_Workshop3 files: (Use VOIR to check these informations)

• Model output: dp_... 2005-01-01-03 to 2005-02-01-00 each 3h Var.: TT , UU, VV and GZ 26 pressure levels• Era-Interim data: era-… 2005-01-01-03 to 2005-02-01-00 each 6h Var.: TT , UU, VV and GZ 34 pressure levels• LoLa: latitude and longitude information

Data files used by Matlab programs

Data files used by Matlab programsvoir -iment « Filename » -style | more

Example:

IP1: Pressure codeCMC time code IP2: forecast hours ?

For instance:IP2=1 for one hour

prevision

voir -iment « NOM DE FICHIER » –style Exemple:

Initial date: 2004-11-01-00h

IP2: 30*24+3=723

GZ data on: 2004-12-01-03h

Data files used by Matlab programs

Getfld6.m Matlab function used to convert RPN

to binary fromat

Conversion: RPN to binary format

Getfld6.m: works only with E32 format

It is possible to change data format by using: r.diag repack …

Sometimes, you need to uncompress the data by using:

fstuncompress -fstin « input file » -fstout « output file »

Getfld6.m: Matlab function used to convert RPN

to binary fromat

Syntax:

Conversion: RPN to binary format

Conversion: RPN to binary format

r.date –Sn « DATE »

Example:

options : -n to add end of line character, -S to get CMC time stamp (time code), -L to get date in this form YYYY MM DD HH MM SS-V to get in this form YYYYMMDDHHMMSS00

Result:

Result:

Useful Fortran programs …

r.ip1 -kn « PRESSION » 2

NB: k =====> kind

options : -n to add end of line character, -k to get height code knowing the level in hPa, m, …-o to get the level value (in hPa, m, …) knowing code

kind : level type (the number express the level unity)-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

0 : m [metres] (height with respect to sea level) 1 : sg [sigma] (0.0 ----> 1.0) 2 : mb [mbars] (pressure in millibars) 3 : [others] (arbitrary code) 4 : M [metres] (height with respect to ground level) 5 : hy [hybrid] (0.0 ----> 1.0) 6 : th [theta]

Useful Fortran programs …

r.ip1 -kn « PRESSION » 2

Examples:

Result:

Result:

Useful Fortran programs …

options : -n to add end of line character, -k to get height code knowing the level in hPa, m, …-o to get the level value (in hPa, m, …) knowing code

2. 1D plot of the Vertical profileScript: Vertical_Profile_1D.m

2. 1D plot of the time series

Script: Time_series_1D.m

3. 2D plot: Latitude-height cross section

Script: Vertical_Profile_2D_Along_long_v1.m

3. 2D plot: Latitude-height cross section

Sometimes, it is better to plot the cross section With Log of the pressure.

Script: Vertical_Profile_2D_Along_long_v2.m

3. 2D plot: Vertical profile of zonal-mean Temperature

Script: Vertical_Profile_2D_Zavg.m

3. 2D plot: Longitude-height cross section

Script: Vertical_Profile_2D_Along_lat_v2.m

4. 2D plot: horizontal map of temperature

4. 2D plot: horizontal map of temperature

quiverm

==> to see wind vectors

There are too much vectors, so you have to reduce the numbers of vectors

Ouvrir et exécuter: Visu_vent2D_2.m

5. Comparison: Model vs Era-Interim1D vertical profile of the domaine-

averaged

5. Comparison: Model vs Era-InterimTime series plot of the domaine-

averaged

5. Comparison: Model vs Era-Interim