Canadian Network for Regional
Climate and Weather Processes
Practical Training:
Plotting Model outputs using Matlab:
Time series, vertical profiles, 2D plot
Contact: oumarou.nikiema@uqam.ca
nikiema@sca.uqam.ca
Bureau: PK 6425
Model output Configuration
In practice, model data are in 5D format:

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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&
Data files used by Matlab programs
In Directory: /skynet3_exec2/nikiema/Data_Workshop
3 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
voir -iment « Filename » -style | more
Example:
IP1: Pressure code
CMC time code
IP2: forecast hours ?
For instance:
IP2=1 for one hour
prevision
Data files used by Matlab programs
voir -iment « NOM DE FICHIER » –style
Exemple:
IP2: 30*24+3=723
Initial date: 2004-11-01-00h
GZ data on: 2004-12-01-03h
Conversion: RPN to binary format
Getfld6.m
to
Matlab function used to convert RPN
binary fromat
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 »
Conversion: RPN to binary format
Getfld6.m:
to
Syntax:
Matlab function used to convert RPN
binary fromat
Conversion: RPN to binary format
TYPVAR: type de variable; 'A'(analysis),'P'(forecast),'X'
NOMVAR: variable name: TT, UU, VV, GZ, …
ETIKET: name of simulation
DATE: CMC date code
r.date -Sn 2005062600
(Code de la date: 324252800)
1 janv. 1900 0h ===> 010100000
1 janv. 1900 1h ===> 010100010
IP1: level code
IP2: prevision time
IP3: 0
Useful Fortran programs …
r.date –Sn
options :
Example:
Result:
Result:
-n
-S
-L
-V
« DATE »
to add end of line character,
to get CMC time stamp (time code),
to get date in this form YYYY MM DD HH MM SS
to get in this form YYYYMMDDHHMMSS00
Useful Fortran programs …
r.ip1 -kn
options :
NB:
« PRESSION » 2
-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
k =====> kind
kind : level type (the number express the level unity)
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
0
1
2
3
4
5
6
: m [metres] (height with respect to sea level)
: sg [sigma] (0.0 ----> 1.0)
: mb [mbars] (pressure in millibars)
: [others] (arbitrary code)
: M [metres] (height with respect to ground level)
: hy [hybrid] (0.0 ----> 1.0)
: th [theta]
Useful Fortran programs …
r.ip1 -kn
options :
Examples:
Result:
Result:
« PRESSION » 2
-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 profile
Script: 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-Interim
1D vertical profile of the domaine-averaged
5. Comparison: Model vs Era-Interim
Time series plot of the domaine-averaged
5. Comparison: Model vs Era-Interim