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Page 1: percentage of total variance over decade – associated with forced component – associated with internal variability p  and p tend to be inverses of one
Page 2: percentage of total variance over decade – associated with forced component – associated with internal variability p  and p tend to be inverses of one

• percentage of total variance over decade– associated with forced

component– associated with internal

variability

• pW and pn tend to be inverses of one another so p = pW + pn is more uniform than either

pW

pn

p

Potential predictability of temperature for 2010-20

(“next decade”)

Boer 2008

Page 3: percentage of total variance over decade – associated with forced component – associated with internal variability p  and p tend to be inverses of one
Page 4: percentage of total variance over decade – associated with forced component – associated with internal variability p  and p tend to be inverses of one

CMIP5 Experiment Design

“Long-Term”(century & longer)

TIER 1

TIER 2

CORE“realistic”

diagnostic

“Near-Term”(decadal)

(initialized ocean state)

prediction & predictability

CORE

TIER 1

Page 5: percentage of total variance over decade – associated with forced component – associated with internal variability p  and p tend to be inverses of one

Decadal forecast results to 2015

CCCma

Page 6: percentage of total variance over decade – associated with forced component – associated with internal variability p  and p tend to be inverses of one

U. Miami

Page 7: percentage of total variance over decade – associated with forced component – associated with internal variability p  and p tend to be inverses of one

© Crown copyright Met Office

We are exchanging very basic quantities:Global Annual Mean Temperature

One file for each year, each memberExchanged once per year around

NovemberEqual ownership

Example diagnostics:

Page 8: percentage of total variance over decade – associated with forced component – associated with internal variability p  and p tend to be inverses of one

© Crown copyright Met Office

Annual global temperature

(20)

(9)

(9)

(3)

Page 9: percentage of total variance over decade – associated with forced component – associated with internal variability p  and p tend to be inverses of one

© Crown copyright Met Office

Annual global temperature

Page 10: percentage of total variance over decade – associated with forced component – associated with internal variability p  and p tend to be inverses of one

© Crown copyright Met Office

Surface temperature: 2011relative to 1971-2000

Page 11: percentage of total variance over decade – associated with forced component – associated with internal variability p  and p tend to be inverses of one

© Crown copyright Met Office

Surface temperature: 2012

Page 12: percentage of total variance over decade – associated with forced component – associated with internal variability p  and p tend to be inverses of one

© Crown copyright Met Office

Surface temperature: 2013

Page 13: percentage of total variance over decade – associated with forced component – associated with internal variability p  and p tend to be inverses of one

© Crown copyright Met Office

Surface temperature: 2012-16

Page 14: percentage of total variance over decade – associated with forced component – associated with internal variability p  and p tend to be inverses of one

© Crown copyright Met Office

Surface temperature: 2015-19

Page 15: percentage of total variance over decade – associated with forced component – associated with internal variability p  and p tend to be inverses of one

© Crown copyright Met Office

We’ve had an overwhelmingly positive response:

GFDL – Tony Rosati Uni. Tokyo – Kimoto MasahideMRI – Masayoshi Ishii SMHI – Klaus Wyser,Colin Jones

KNMI – Wilco Hazeleger IC3 – Francisco Doblas-ReyesMPI – Daniela Matei RSMAS – Ben KirtmanCCCMA-EC – George Boer IfM-GEOMAR - Mojib LatifCERFACS – Laurent Terray UKMO-Hadley – Doug Smith

Are others planning to make regular decadal predictions? If so, would you like to take part?