EC-Earth –and integrated assessment modelling · Examplesof integratedstudies Land use–climate...

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EC-Earth – and integrated assessment modelling Bart van den Hurk Wilco Hazeleger

Transcript of EC-Earth –and integrated assessment modelling · Examplesof integratedstudies Land use–climate...

Page 1: EC-Earth –and integrated assessment modelling · Examplesof integratedstudies Land use–climate Air pollutionpolicies. Based on and in collaboration with best weather prediction

EC-Earth – and integrated assessment modelling

Bart van den HurkWilco Hazeleger

Page 2: EC-Earth –and integrated assessment modelling · Examplesof integratedstudies Land use–climate Air pollutionpolicies. Based on and in collaboration with best weather prediction

IMAGE

EC-Earth

van Vuuren et al 2012

Page 3: EC-Earth –and integrated assessment modelling · Examplesof integratedstudies Land use–climate Air pollutionpolicies. Based on and in collaboration with best weather prediction

Contents

EC-Earth

CMIP5 results so far

Examples of integrated studies

Land use – climate

Air pollution policies

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Based on and in collaboration with best weather prediction model

(ECMWF)

Continuous updates

Consortium effort

Seamless approach: from seasonal to decadal to century

Extension to Earth System Model ongoing

Hazeleger et al BAMS 2010, Clim Dyn 2012

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The NetherlandsKNMI, U Utrecht, WUR, VU. SARA

PortugalIM, U Lisbon

SwedenSMHI, Lund U, Stockholm U,

IRV

BelgiumUCL

SpainAEMET, BSC, IC3

DenmarkDMI, Univ Copenh

IrelandMetEireann,

UCD, ICHEC

SwitzerlandETHZ, C2SM

NorwayNTNU, Bjerkn. C.

ItalyICTP,CNR,

ENEA

EC-Earth consortium

Steering group: W. Hazeleger (KNMI, chair), C. Jones (SMHI), J. Hesselbjerg, Christensen (DMI), R.

McGrath (Met Eireann), P. Viterbo (IM), E. C. Rodriguez (AEMET) observer E. Kallen (ECMWF), NEMO-

representative

GermanyIFM/GEOMAR

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ECMWFs atmosphere model(from 150 km to 20 km global)

NEMO ocean model(120 km to 25 km global)

TM5: chemistry transport Model

LPJ-GUESS vegetation

Off-line coupled to IMAGE

Hazeleger et al BAMS, October, 2010

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Some CMIP5 results

In general: comparable results to CMIP3/4

Similar climate sensitivity

Uncertainties still large in clouds and indirect aerosol effect

(relevant to RCP 2.6 in particular � strong warming in some

models in the first few decades)

No abrupt changes in Atlantic Meridional Overturning Circulation

except for one model (FIO ESM)

More models with online (biogeo)chemistry modules

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CMIP5 model uncertainty still large

CMIP5: Coupled Model Intercomparison project #5http://cmip-pcmdi.llnl.gov/cmip5/

Page 9: EC-Earth –and integrated assessment modelling · Examplesof integratedstudies Land use–climate Air pollutionpolicies. Based on and in collaboration with best weather prediction
Page 10: EC-Earth –and integrated assessment modelling · Examplesof integratedstudies Land use–climate Air pollutionpolicies. Based on and in collaboration with best weather prediction

Response in Western Europe wrt global mean (JJA)

Page 11: EC-Earth –and integrated assessment modelling · Examplesof integratedstudies Land use–climate Air pollutionpolicies. Based on and in collaboration with best weather prediction

Serreze et al 2012

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EC-Earth results in CMIP5 ‘plume’

+2

+1

Glo

balte

mpera

ture

rise

(C)

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Regional trends still challenging for CMIP5

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New decadal initialized predictions

Initialized from observations instead of preindustrial spin up run. Allows for forecasts, including phase and amplitude of natural variability

2 meter temperature, 2016-2020wrt 1971-2000

Smith et al 2012, submitted

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Coupled models to study feedbacks

Literature review by Batlle-Bayer et al

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Vegetation/albedo feedbacks in Amazon

Literature review by Batlle-Bayer et al

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Literature review by Batlle-Bayer et al

NPP – precipitation correlations in Amazon

Month�

Time scale

3 Amazonian locations

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Emissions and concentrations with alternative air quality

policies (IMAGE/TM5)

Air pollution policy

climate policy

Image 6.0 high Image 6.0 low

Image 2.6 high Image 2.6 low

Low: emission factors of air pollutants decline up to 2030 (implementation of current and planned air quality policies). After 2030, further abatement measures are a function of the increasing income levels

High: constant emission factors from 2010 onward

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Dia 18

h2 hazelege; 12-11-2012

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Impact on surface ozone (high minus low)

Result from IMAGE emissions into TM5 CTM (Chuwah et al in prep)

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North America (NA) (60°W-125°W × 15°N-55°N), Europe (EU) (10°W-50°E × 25°N-65°N),

East Asia (EA) (95°E-160°E × 15°N-50°N) and South Asia (SA) (50°E-95°E × 5°N-35°N)

Surface O3 2050

0

10

20

30

40

50

60

NA EU EA SA

Regions

ppbv

2005

IM2.6-low

IM2.6-high

IM6.0-low

IM6.0-high

Surface SO4 2050

0

2

4

6

8

10

12

NA EU EA SA

Regionsµg/m

3

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Impact on climate

Impact on direct radiative forcing is small

To do:

Full coupling with EC-Earth to identify regional feedbacks to climate

Sensitivity to indirect aerosol effect

-0.030.060.09-0.070.110.100.070.07Total RF

IM6.0High

2050

IM6.0Low

2050

IM2.6High

2050

IM2.6Low

2050

IM6.0High

2020

IM6.0Low

2020

IM2.6High

2020

IM2.6Low

2020

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Final remarks

new seamless prediction earth system model:

regular updates from Numerical Weather

Prediction, can run at very high resolution

(synoptic weather scales)

CMIP5: similar results to CMIP3. EC-Earth not that

different from other GCMs.

Opportunities in coupling ESMs to IAMs:

Exploring feedbacks

Exploring consistent socio-economic and

physical scenarios at regional scales