wcrp polar climate predictability initiative vladimir ryabinin

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WCRP polar climate predictability initiative Vladimir Ryabinin www.wcrp-climate.org

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Page 1: WCRP polar climate predictability initiative Vladimir Ryabinin

WCRP polar climate predictability initiative

Vladimir Ryabinin

www.wcrp-climate.org

Page 2: WCRP polar climate predictability initiative Vladimir Ryabinin

• Bergen workshop (October 2010): science-driven– Informal WCRP Report

A notable gap was that between scientific communities, as most people knew only a small minority of the other participants.

…it seems apparent that progress in polar predictability will require crossing disciplinary boundaries to understand the feedbacks between the troposphere and the stratosphere, ocean, land, and sea ice

Page 3: WCRP polar climate predictability initiative Vladimir Ryabinin

(Douville, 2009)

(SST)

Page 4: WCRP polar climate predictability initiative Vladimir Ryabinin

Seasonal Forecast from AER(Atmospheric & Environmental Research)

(J. Cohen, 2011)

Predictability: seasonal

Role of snow cover

Page 5: WCRP polar climate predictability initiative Vladimir Ryabinin

Snow Forced Signal

J. Cohen, 20…

Page 6: WCRP polar climate predictability initiative Vladimir Ryabinin

J. Overland

Multiple feedbacks involving sea ice

Page 7: WCRP polar climate predictability initiative Vladimir Ryabinin

J. Overland

-- > “Warm AO – cold continents”

Page 8: WCRP polar climate predictability initiative Vladimir Ryabinin

A. Hall

Page 9: WCRP polar climate predictability initiative Vladimir Ryabinin

A. Hall

Page 10: WCRP polar climate predictability initiative Vladimir Ryabinin

Role of Sea Ice

Y. Orsolini

Page 11: WCRP polar climate predictability initiative Vladimir Ryabinin

Annual mean Arctic sea ice area anomalies and oceanic volume flux (upper 125 m) through Spitzbergen-Norway meridional (about 20E) cross-section

(Bengtsson, 2004)

Correlation between wintertime Arctic sea ice area and SATs

Predictability: inter-annual

Barents inflowBarents Sea

Cyclonic circulation

Westerly winds

r = - 0.77

Page 12: WCRP polar climate predictability initiative Vladimir Ryabinin

(Ed Hawkins)

(Boer & Lambert)

Predictability: decadal

Decadal: forced change + natural variability

Page 13: WCRP polar climate predictability initiative Vladimir Ryabinin

J. Boer

Page 14: WCRP polar climate predictability initiative Vladimir Ryabinin

Coordinated Regional Downscaling Experiment – CORDEX IPCC AR5

Climate-system Historical Forecast Project - CHFP

Coupled Model Intercomparison Experiment 5 – CMIP5 IPCC AR5

Chemistry-Climate ModelValidation

Climate Predictions and ProjectionsClimate Predictions and Projections

sea ice,stratosphere

Arctic

Antarctic

Africa

Page 15: WCRP polar climate predictability initiative Vladimir Ryabinin

• The nature of feedbacks appears to be different in the two hemispheres leading to different “big questions”:– Understanding and predicting the rate of Arctic sea ice loss – Understanding the drivers of change in the Antarctic,

including connections to ozone, ocean circulation, carbon uptake, and ice shelves

• Imperatives– Improve models– Identify measurement needs, both for initialization and for

monitoring variability and long-term changes

Page 16: WCRP polar climate predictability initiative Vladimir Ryabinin

• IASC Atmosphere meeting in Denver (October 23, 2011)– IASC-A sees itself as more “bottom up”, e.g. field

experiments, and sees the WCRP initiative as being very complementary (link through Jim Overland, NOAA PMEL)

• Toronto workshop (April 2-4, 2012)– Aim for around 30-35 people, representing science topics

and partner activities (some continuity with Bergen)– Outcome will be a draft implementation plan to be

considered at the JSC meeting in July 2012

Page 17: WCRP polar climate predictability initiative Vladimir Ryabinin

• Expected implementation mechanisms– Targeted workshops– Climate process teams– Coordinated evaluation/assessment of data sets

• Observational data sets• Reanalyses• Seasonal predictions (CHFP)• Historical simulations (CMIP)• Decadal and longer timescale predictions (CMIP)

– OSSEs to define measurement needs– Coordinated model experiments

Page 18: WCRP polar climate predictability initiative Vladimir Ryabinin

WCRP Grand Challenges• Provision of skillful future climate information on regional scales

(includes decadal and polar predictability)• Regional Sea-Level Rise • Cryosphere response to climate change (including ice sheets,

water resources, permafrost and carbon) • Improved understanding of the interactions of clouds, aerosols,

precipitation, and radiation and their contributions to climate sensitivity

• Past and future changes in water availability (with connections to water security and hydrological cycle)

• Science underpinning the prediction and attribution of extreme events

Page 19: WCRP polar climate predictability initiative Vladimir Ryabinin

• Models, a lot of similarities

• Observations, almost enough for NWP, not the case for climate

• Data assimilation: melt ponds, land surface, stratosphere, more for climate

• Goal: seamless multi-scale prediction system

• Different readiness to address prediction needs in NH and SH

• Polar regions are only the focus of targeted improvements within our projects but the overall progress in prediction will be achieved by global systems -> need a reliable and welcoming entry of our results into global systems – roles of WWRP & WCRP

• Same communities? How big is the overlap?

• Welcome to Toronto…

WCRP polar climate predictability initiative & WWRP Polar Prediction Research Project: commons