Ht t t d t Hot temperatures and storm surgggges: Modelling ... · Ht t t d t Hot temperatures and...

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H t t t d t Hot temperatures and storm surges: Modelling the change of g g g

climate extremesAndreas SterlAndreas Sterl

KNMI, De Bilt, Netherlands

• Climate system• Climate changeg• Climate modelling• Climate extremes

• Hot temperatures• North Sea storm surges

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

gHenk van den Brink, Gerrit Burgers, Henk Dijkstra, Reindert Haarsma,Wilco Hazeleger, Erik van Meijgaard, Camiel Severeijns, Hans de Vries

Climate – what’s that?

Climate = statistics of weatherClimate statistics of weather

Weather = state of atmosphereWeather = state of atmosphere at a particular time

“Climate is what you expect, weather is what you get”

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

The climate systemThe climate system

AR4 FAQ 1 2 Fi 1

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

AR4, FAQ 1.2, Fig. 1

How does the climate system How does the climate system work?

• short-wave radiation (sun) heats (tropics)

• atmosphere and ocean transport heat poleward (modulated by continents)poleward (modulated by continents)

l di ti i t l• long-wave radiation into space cools

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

Radiative forcing

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

AR4, FAQ 1.1, Fig. 1

Greenhouse effect

Outgoing longwave radiation is Outgoing longwave radiation is absorbed in the atmosphere and radiated back to the surfaceradiated back to the surface.

without: T = 15°Cwithout: Tglob = -15 C observed: Tglob =

15°C+15°C

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

Greenhouse gases

only 1 % of atmosphereH O 70 % < f db k ( 2 )• H2O 70 %

• CO2 15 %<= feedback (~2x)

• CH4 )• N2O ) 5 %2 )• Ozone, …)• (clouds 10 %) <= feedback (?)• (clouds 10 %) <= feedback (?)

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

(van Dorland, 1999, p. 17/18)

The past 159 yearsThe past 159 years

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

Increasing

GHG COGHG concent

CO2

ra-tions CH4

N2O

SO4

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

(IPCC, 2001, Fig. SPM-2) ++++

Sim lationsSimulations<= multi model, all forcings multi model, all forcings

M lti d l t l f i

AR4, Fig. 9.5

Multi model, natural forcings =>

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

Projectionsj

• Scenarios “How will the world change?”

• Scenarios => CO2 emissions and concentrationsconcentrations

CO• CO2 concentrations => climate

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

Emission scenariosEmission scenarios

TAR, SPM Fig. 5

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

ESSENCEESSENCE

• ECHAM5/MPI-OMECHAM5/MPI OM

• observed GHG’s – SRES A1b

• 1950 – 2100

• 17 runs => good statistics

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

Global mean temperature

blue: ESSENCEred: HadCRUT3+14.3

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

Temperature trend

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

Precipitationp

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

The N-year return value - 1

• value that on average occurs once per N years

( ) ⎪⎫⎪⎧ ⎤⎡ ⎞⎛ −− ξ

μx/1

years• obtained by fitting a GEV to annual maxima (x):

( )⎪⎭

⎪⎬⎫

⎪⎩

⎪⎨⎧

⎥⎦

⎤⎢⎣

⎡⎟⎠⎞

⎜⎝⎛ −

−σμxξ+=xG 1exp

(x):

⎪⎭⎪⎩ ⎦⎣ ⎠⎝

μ: locationμσ: scaleξ: shape

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

The N-year return value - 2⎫⎧ ξ/1

( )⎪⎭

⎪⎬⎫

⎪⎩

⎪⎨⎧

⎥⎦

⎤⎢⎣

⎡⎟⎠⎞

⎜⎝⎛ −

−− ξ

σμxξ+=xG

/1

1exp⎪⎭⎪⎩ ⎦⎣ ⎠⎝ σ

defined for 01 >μxξ+ ⎟⎞

⎜⎛ −defined for 01 >σ

ξ+ ⎟⎠

⎜⎝

=> bounded by xmax = μ-σ/ξ for ξ < 0

return time T(x) for level x is 1-1/T(x) percentile:

( ) ( )xG=xT−1

1

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

( )xG1

Example: NetherlandsExample: Netherlands

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

ΔΔμ

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

ΔΔσ

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

ΔTΔT100

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

TΔT100 / ΔTmean

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

Model biasT100(ESS)-T100(ERA-40)

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

Dutch Delta Committee:

What is the effect of global warming on

• maximum wind speed• maximum wind speed• wind directions• wave heights• storm surge levels?

ApproachApproach

• KNMI'06 scenarios• other literature• other literature• Essence + WAQUA

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

E WAQUAEssence + WAQUAEssenceEssence• ECHAM5/MPI-OMECHAM5/MPI OM• 17-member ensemble• 1950-2100, SRES A1b

WAQUA• storm surge model• storm surge model• Northwest European shelf• 8 km x 8 km• output every 10 minutesoutput every 10 minutes

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

Will the wind change ?Will the wind change ?ERA-401971-20002071-2100

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

Extreme windsExtreme winds

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

ESSENCE winds

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

Uncertainty present-day water levelswater levels

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

Future water levelsFuture water levels

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

Other stationsOther stations

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

l iConclusions

large ensemble => good statistical basisbasistemperature extremes increase faster than the means faster than the means ...... and may reach dangerous levels within this centurywithin this centuryno change of surge heights along th D t h t b t the Dutch coast, but ...... sea level increases

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

Andreas Sterl, SEAMOCS, Malta, 17.03.2009

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