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Tales of Future Weather Wilco Hazeleger
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Hazeleger w 20150708_1500_upmc_jussieu_-_amphi_herpin

Apr 12, 2017

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Page 1: Hazeleger w 20150708_1500_upmc_jussieu_-_amphi_herpin

Tales of Future Weather

Wilco Hazeleger

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The setting

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IPCC special report on extremes

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Actionable information from climate

models?

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Limited prediction skill beyond trends

van Oldenborgh et al Clim Dyn 2012

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Tales of Future Weather

Co-developed with societal actor and scientist:

• Drivers of vulnerability

– The setting, context, forcing

• Relevant analogs from current and past climate

– Statistically, physics, consequences

• Synoptic weather events in alternative (future) climate

setting

– Numerical weather prediction models (internal consistency), data

assimilation, wide range of plausible boundary conditions

• Wider scientific perspective of potential future climate

Hazeleger et al Nature Climate Change 2015

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Unprecedented analogs in current

climate: multiday high winds and surge

• Problem:

– Dike reinforcement near

Amsterdam

– Design criteria inspired by extreme

water levels induced by multi-day

strong Eastern Wind

• Reconstructed analogs from

ensemble weather predictions

physically plausible extreme,

internally consistent

KNMI, van Oldenborgh, van den Brink

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Unprecedented weather in current

climate: compound rain and surge

Sea level

Inland water level

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Unprecedented weather in the future:

hurricanes towards Europe

Haarsma et al 2013 GRL

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Current weather transformed to future

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Future: less cold at same circulation

• Apply weather

forecasting techniques

to obtain 2013/2014

mean circulation in a

future climate (2090s) in

a fully coupled model

Rasmijn et al 2014 (QJRMS), 2015

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Future: wetter at same circulation in UK

Rasmijn et al 2015, subm

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Meteorological physics insights

e.g. Lenderink and van Meijgaard, Nature Geosc, 2008

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Robust decision making

• Characterize uncertain vulnerabilities contingent on

proposed strategy

Propose

strategy

Identify

vulnerabilities

Identify and assess

options for reducing

vulnerabilities

After Lempert and Groves 2006

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Tales of Future Weather

• Vivid storylines of weather that exposes vulnerability

• Co-developed between societal actor and scientist

• Unprecedented weather in current climate and any

relevant (future) climate setting

• Apply well-tested global high resolution numerical

weather prediction models and techniques

(physically plausible, internally consistent)

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Thank you

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MT-KS 18

Hupsel, 26-27 Augustus 2010

Intensity: 20 mm/hr

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Highest daily rainfalll in E-Obs!

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Humidity transport by atmospheric

rivers

“atmospheric rivers”

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Predict then act

• Rank strategies contingent on characterizations of

uncertainties

Characterize

uncertainty

Rank alternative

Strategies

Conduct sensitivity

analysis

After Lempert and Groves 2006

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Probability of the exceedance of the 99th percentile of NNW wind. After a 10-day precipitation extreme the probability of exceedance is approximately 0.04 (red diamond), which is a factor 4 higher than the probability of 0.01 (by construction) in the full data set (blue diamond). The increase in probability is outside the range that could be expected due to chance because of the much smaller sample size (blue bars).

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T=96h T=132h T=162h

Equivalent Potential temperature (K, 850 hPa), MSLP and 250 hPa winds

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Synoptic structure: warm seclusion

storms

Highest gradient on cold front vs highest gradient on Warm front (detached, t bone structure: warm seclusion)

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More high resolution results: poster Ronald van Haren et al

on dynamical and thermodynamical mechanisms

Precipitation session: EGU2014-15454 (R393,

Wednesday, Red Posters, 17:30-19:30)

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