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CH2018: Multi-member ensemble simulations to explore decadal variability Stefan Broennimann 1,2 , Marco Rohrer 1,2 , Christoph C. Raible 2,3 1 Institute of Geography, University of Bern, Switzerland 2 Oeschger Centre for Climate Change Research, University of Bern, Switzerland 3 Climate and Environmental Physics, Physics Institute, University of Bern, Switzerland

CH2018: Multi-member ensemble simulations to explore decadal variability Stefan Broennimann 1,2, Marco Rohrer 1,2, Christoph C. Raible 2,3 1 Institute

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Page 1: CH2018: Multi-member ensemble simulations to explore decadal variability Stefan Broennimann 1,2, Marco Rohrer 1,2, Christoph C. Raible 2,3 1 Institute

CH2018: Multi-member ensemble simulations to explore decadal variability

Stefan Broennimann1,2, Marco Rohrer1,2, Christoph C. Raible2,3

1 Institute of Geography, University of Bern, Switzerland2 Oeschger Centre for Climate Change Research, University of Bern, Switzerland3 Climate and Environmental Physics, Physics Institute, University of Bern, Switzerland

Page 2: CH2018: Multi-member ensemble simulations to explore decadal variability Stefan Broennimann 1,2, Marco Rohrer 1,2, Christoph C. Raible 2,3 1 Institute

Overview

• Available Simulations

• Drought years during 1945 -1952

• Decadal variability of European heatwaves

• Decadal changes of atmospheric blocking

• Adds2

Page 3: CH2018: Multi-member ensemble simulations to explore decadal variability Stefan Broennimann 1,2, Marco Rohrer 1,2, Christoph C. Raible 2,3 1 Institute

SimulationsModel:• ECHAM5.4

• Resolution: T63/L31 up to 10hPa

3

Page 4: CH2018: Multi-member ensemble simulations to explore decadal variability Stefan Broennimann 1,2, Marco Rohrer 1,2, Christoph C. Raible 2,3 1 Institute

SimulationsModel:• ECHAM5.4

• Resolution: T63/L31 up to 10hPa

Forcing: • SST reconstruction (Mann et al. 2008)

• Solar irradiance (Lean 2000)

• Volcanic eruptions (Crowley et al. 2008)

• GHG (as used in Yoshimori et al. 2010)

• Land use (Pongratz et al. 2008), bug!!!

• Aerosols (Koch et al. 1999) before 1850 constant

4

Page 5: CH2018: Multi-member ensemble simulations to explore decadal variability Stefan Broennimann 1,2, Marco Rohrer 1,2, Christoph C. Raible 2,3 1 Institute

SimulationsModel:• ECHAM5.4

• Resolution: T63/L31 up to 10hPa

Forcing: • SST reconstruction (Mann et al. 2008)

• Solar irradiance (Lean 2000)

• Volcanic eruptions (Crowley et al. 2008)

• GHG (as used in Yoshimori et al. 2010)

• Land use (Pongratz et al. 2008), bug!!!

• Aerosols (Koch et al. 1999) before 1850 constant

Ensemble approach• Different initial conditions obtained from a 1600 AD control simulation

• 30 ensemble members, 28 normally used

5

Page 6: CH2018: Multi-member ensemble simulations to explore decadal variability Stefan Broennimann 1,2, Marco Rohrer 1,2, Christoph C. Raible 2,3 1 Institute

Evaluation

6

Known shortcomings:

• Land surface: only 9 from 14 types are implemented

• SST variability too low due to reconstruction method

• Sea ice constant before 1870

Page 7: CH2018: Multi-member ensemble simulations to explore decadal variability Stefan Broennimann 1,2, Marco Rohrer 1,2, Christoph C. Raible 2,3 1 Institute

Evaluation

7

Page 8: CH2018: Multi-member ensemble simulations to explore decadal variability Stefan Broennimann 1,2, Marco Rohrer 1,2, Christoph C. Raible 2,3 1 Institute

Drought years during 1945 -1952

8Broennimann (2015, in press)

1952

1950

1949

1947

1945

Observation Esemble meanObservation Esemble mean

Page 9: CH2018: Multi-member ensemble simulations to explore decadal variability Stefan Broennimann 1,2, Marco Rohrer 1,2, Christoph C. Raible 2,3 1 Institute

Decadal variability of European heatwaves

9Broennimann (2015, in press)

Reconstructed AMO and simulated area fraction for US and Europe when max. temperature excceeds the 90th percentile (1901-2000)

Ensemble mean Ensemble ranges «best» member

-0.1

-0.2

0.0

0.1

AM

O (

C)

Page 10: CH2018: Multi-member ensemble simulations to explore decadal variability Stefan Broennimann 1,2, Marco Rohrer 1,2, Christoph C. Raible 2,3 1 Institute

Decadal changes of atmospheric blocking

10

Winter Blocking Frequency in North Atlantic/Europe (-70 to10E, 40 to 80N; Member 025)

Rohrer et al. (xxx)

Page 11: CH2018: Multi-member ensemble simulations to explore decadal variability Stefan Broennimann 1,2, Marco Rohrer 1,2, Christoph C. Raible 2,3 1 Institute

Decadal changes of atmospheric blocking

11

Winter Blocking Frequency: Ensemble mean

Rohrer et al. (xxx)

Page 12: CH2018: Multi-member ensemble simulations to explore decadal variability Stefan Broennimann 1,2, Marco Rohrer 1,2, Christoph C. Raible 2,3 1 Institute

Adds

• Land use bug: additional simulations are available to assess the impact (relevance for extremes such as heat waves)

• CC400: Cyclone analysis• CESM1: 850 -2100 AD cyclone variability

12Blumer et al (2015, in prep.)