CanSIPS - The Canadian Seasonal to Interannual Prediction System

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- CanSIPS - The Canadian Seasonal to Interannual Prediction System Juan Sebastian Fontecilla 1 & Bill Merryfield 2 , Bertrand Denis 1 , Slava Kharin 2, Woo-Sung Lee 2 , Jacques Hodgson 1 , Louis-Philippe Crevier 1 , Benoit Archambault 1 , Lewis Poulin 1 , Ping-An Tan 1 1 Canadian Meteorological Centre (CMC) 2 Canadian Centre for Climate Modelling and Analysis (CCCma) Meteorological Service of Canada CMOS 2012, Montreal

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CanSIPS - The Canadian Seasonal to Interannual Prediction System. Meteorological Service of Canada. Juan Sebastian Fontecilla 1 & - PowerPoint PPT Presentation

Transcript of CanSIPS - The Canadian Seasonal to Interannual Prediction System

Page 1: CanSIPS -  The Canadian Seasonal to Interannual Prediction System

- CanSIPS - The Canadian Seasonal to Interannual

Prediction System

Juan Sebastian Fontecilla1 &

Bill Merryfield2, Bertrand Denis1, Slava Kharin2, Woo-Sung Lee2, Jacques Hodgson1, Louis-Philippe Crevier1, Benoit

Archambault1, Lewis Poulin1, Ping-An Tan1 1 Canadian Meteorological Centre (CMC)

2 Canadian Centre for Climate Modelling and Analysis (CCCma)

Meteorological Service of Canada

CMOS 2012, Montreal

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OUTLINE

• Background

• Description of the new system

• Forecast skill improvements

• El Nino / La Nina predictions

• Future works

Page 3: CanSIPS -  The Canadian Seasonal to Interannual Prediction System

day week month season year decade century

(Multi-)DecadalIPCC-type projections(scenario dependent)

Extended

Long-Range

now

Fo

reca

st R

ang

esS

ou

rces

of

Pre

dic

tab

ilit

y

Medium

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soil moisture initial conditions

Madden-Julian Oscillation

atmosphericinitial conditions

ENSO

PDV/AMV?

Forcing scenarios

Page 4: CanSIPS -  The Canadian Seasonal to Interannual Prediction System

day week month season year decade century

(Multi-)DecadalIPCC-type projections(scenario dependent)

Extended

Long-Range

Fo

reca

st R

ang

esS

ou

rces

of

Pre

dic

tab

ilit

y*

Medium

Short

soil moisture initial conditions

Madden-Julian Oscillation

atmosphericinitial conditions

ENSO

PDV/AMV?

Forcing scenarios

now

this talk

*Not complete

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Sea Surface Temperature Anomaly

El Niño / La Nina

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Motivation for coupled vs

2-tier systemMar 2006

Apr 2006

May 2006

Jun 2006

Jul 2006

Oct 2006

Observed SST anomaly

“Forecast” (persisted) SST anomaly

Example: consider 2-tier forecast (persisted SSTA) from 1 April 2006

2-tier system with persisted SSTA cannot predict an El Niño or La Niña

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Coupled Historical Forecasting Project II (CHFP2)

• 1-tier system -> two atmos-ocean-ice coupled systems

- CanCM3 = AGCM3 (T63/L31) + OGCM4 10 members

+ - CanCM4 = AGCM4(T63/L35) + OGCM4 10 members

• 20 Assimilation & forecast streams

• “Burst” initialization - Initial conditions valid just before forecast starts – no time lags

• System climatology based on CanCM3 + CanCM4 Hindcasts

- Initialized every month 1981-2010 (30 years)

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Nudging (IUA)

0h 3h 6h 9h 12h 15h 18h

R R R R

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Anomaly correlation skill 2-tier vs CanSIPS

2-tier

CanSIPS

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First season (Lead 0 months)Global 2m temperature

Mean Seasonal Global 2m Temp Anomaly Correlation Lead 0 All Forecasts 1979-2001 ERA Verification

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First seasonCanada 2m temperature

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First seasonCanada 2m temperature

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CanSIPS forecastsJune-July-August 2012

Temperature Precipitation

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CanSIPS forecastsJune-July-August 2012

Temperature Precipitation

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Temperature

Precipitation

CanSIPS forecastsJune-July-August 2012

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ENSO Skill - Nino 3.4 region -

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ENSO Prediction SkillCase Study: 1997-98 El Niño

Niño3.4 hindcasts initialized monthly from 1 Jan 1997 to 1 Dec 1997

1997 1998 1997 1998

OBS

CanCM3

CanCM4

CanSIPS =CanCM3+4

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CanSIPS vs

CFSv2

CanSIPS vs

CFSv1

CanSIPS

CanSIPS

ENSO Skill Comparison with NCEP CFS

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• New products

- Nino indices

- Sea Ice

- Tropical cyclone potential

- ...• New web interface

- Menu driven

- Interactive display of probability forecasts

- Display all hindcasts, verifications

CanSIPS phase II implementation

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We are considering:

• More ensemble members

• Higher resolution

• Improved ocean data assimilation in CanCM3/4

• Add coupled GEM-NEMO (GEM=NWP model)

• Land surface data assimilation

Towards CanSIPSv2

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For more information

• Details of recent implementations at CMC– http://collaboration.cmc.ec.gc.ca/cmc/cmoi/product_guide/docs/changes_e.html

• Environment Canada’s official seasonal forecast web pages

– http://www.weatheroffice.gc.ca/saisons/index_e.html

• Description of Climate models developed at CCCma- http://www.ec.gc.ca/ccmac-cccma/default.asp?lang=En&n=4A642EDE-1