Transcript Document

La prevision saisonniere avec
l’outil CPT
By:
Ousmane NDIAYE
Niamey, Niger, 1st June 2007
Les bases de la prevision
saisonnieres?
Forcage de la SST sur le climat
 Ocean 2/3 de la surface de la terre
 forte capacite thermique :
 source de vapeur d’eau precipitable
 Dynamique : circulation –El Nino
Rationale for seasonal prediction:
slower evolution of the oceanic component of the climate sytem SST
on tropical atmosphere
Comment cela marche alors ?
Observed
Rainfall/crop yield
SEA SURFACE
TEMPERATURE
SEA SURFACE
TEMPERATURE
Ocean
STATISTICAL
RELATIONSHIP
PREDICTION :
Rainfall, humidity…
Atmospheric General
Circulation Model
ATMOSPHERIC
CONDITIONS
Atmosphere
Coupled Ocean and Atmosphere GCM
Ocean
Atmosphere
SST
AGCM
Observed : yield/rainfall
 Atmospheric conditions
 Ocean conditions
Model Output Statistics
(Statistical Correction)
Modele de prevision statistique:
regression
Comment ca fonctionne ?
time
Predictand
(rainfall)
Y
Predictor
(SST)
X
Y50 Y51 Y52 Y53
Yk-1 Yk Yk+1
Y96 Y97 Y98 Y99
X50 X51 X52 X53
Xk-1 Xk Xk+1
X96 X97 X98 X99
Tres tres simple :
Periode 1
Y = a*X + b
(a,b) ?
Periode 2
a*X + b
observee
Ŷ+e
prevue
La Validation croisee sur une fenetre d’une
annee
1951
1952
1953
1954
1955
Predict
1951
Training
Predict
period
1952
Training
Predict
period
1953
Training
period
Training
period
Training
period
Training
Period
Training
period
Predict
Training
1954
Period
Predict
Training
1955
period
… après correle 1951–2000 observee vs prevue.
Prevision Retro-spective/active
1981
1982
1983
1984
1985
Training period
Predict
(1951-1980)
1981
Training period
Predict
(1951-1981)
1982
Training period
(1951-1982)
Training period
(1951-1983)
Training period
(1951-1984)
Omit
1982+
Omit
1983+
Predict
1983
Omit
1984+
Predict
Omit
1984
1985+
Predict
1985
Climate Predictability Tool :
CPT
OVERVIEW
The Climate Predictability Tool (CPT) provides a
Windows package for :
 seasonal climate forecasting
 model validation
 actual forecasts given updated data
Uses ASCII input files : GCM, Stations, Indices
Options :
 principal components regression (PCR)
 canonical correlation analysis (CCA)
Help Pages on a range of topics in HTML format
Options to save outputs in ASCII format and graphics as
JPEG
Program source code is now available for those using
other systems (e.g., UNIX)
CPT INPUT FILE FORMATS
1. STATION files:
This file-type contains :
Station_name (without
spaces; 16 characters)
Latitude (in signed degrees)
Longitude (signed degrees)
Year (in the first column)
Data (missing values should
be filled with the same value,
-9999 for example)
Keywords:
STN, LAT, LONG
CONCLUSIONS
• For further details, read the help page of each menu and
option.
• Subscribe to the user-list to be advised of updates:
http://iri.columbia.edu/outreach/software/
• We want to hear from you. Your comments and questions
help us to improve the CPT so do not hesitate to write to us at:
[email protected]