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Simulating an abrupt termination of the Holocene African Humid period using an optimised configuration of HadCM3 Peter Hopcroft University of Birmingham [email protected] Paul Valdes University of Bristol, UK William Ingram Met Office, Exeter, UK Ruza Ivanovic University of Leeds, UK NASA Earth Observatory
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Page 1: Simulating an abrupt termination of the Holocene African Humid … › EGU2020 › EGU2020... · 2020-04-30 · Simulating an abrupt termination of the Holocene African Humid period

Simulating an abrupt termination of the Holocene African Humid period using an

optimised configuration of HadCM3

Peter Hopcroft University of Birmingham [email protected]

Paul Valdes University of Bristol, UKWilliam Ingram Met Office, Exeter, UKRuza Ivanovic University of Leeds, UKNASA Earth

Observatory

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Biome type

Evidence for a ‘Green’ Sahara 11ka – 4ka

Pollen

Data from:Harrison, 2017Kohfeld & Harrison, 2000Egerer et al 2016, de Menocalet al 2000, McGee et al 2013

Lake status

+ Lake levels + Dust flux

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Climate simulations: discrepancy for mid-Holocene

Braconnot et al 2012, Nature Climate Change

Shanahan et al (2015), Nature Geoscience

Abrupt termination of the humid phase

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Four configurations of the coupled HadCM3 general circulation model

1. HadCM3-M2.1 standard (Pope et al. 2000, Cox 2001, Valdes et al. 2017)

2. HadCM3-M2.1 + new vegetation moisture stress (Hopcroft et al. in prep.)

3. HadCM3-M2.1 + optimised atmospheric convection (Hopcroft et al. in revision)

4. HadCM3-M2.1 + new veg moisture stress + optimised convection

3.75°x2.75°x19L (atmosphere) 1.25°x1.25°x 20L (ocean)

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Four configurations of the coupled HadCM3 general circulation model

1. HadCM3-M2.1 standard (Pope et al. 2000, Cox 2001, Valdes et al. 2017)

2. HadCM3-M2.1 + new vegetation moisture stress (Hopcroft et al. in prep.)

3. HadCM3-M2.1 + optimised atmospheric convection (Hopcroft et al. in revision)

4. HadCM3-M2.1 + new veg moisture stress + optimised convection

Better capturing the distribution ofbare soil in the tropics in relationto precipitation (x-axis) andtemperature (y-axis) for thepresent day.

Vegetation fraction

3.75°x2.75°x19L (atmosphere) 1.25°x1.25°x 20L (ocean)

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1. HadCM3-M2.1 standard (Pope et al. 2000, Cox 2001, Valdes et al. 2017)

2. HadCM3-M2.1 + new vegetation moisture stress (Hopcroft et al. in prep.)

3. HadCM3-M2.1 + optimised atmospheric convection (Hopcroft et al. in revision)

4. HadCM3-M2.1 + new veg moisture stress + optimised convection

An altered vertical profile ofconvective entrainment (applied inboth present day and mid-Holocene simulations) doubles themid-Holocene rainfall anomalyover North Africa.

Better capturing the distribution ofbare soil in the tropics in relationto precipitation (x-axis) andtemperature (y-axis) for thepresent day.

Vegetation fraction

Precipitation anomaly (mm/day)

3.75°x2.75°x19L (atmosphere) 1.25°x1.25°x 20L (ocean)Four configurations of the coupled HadCM3 general circulation model

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CO2

CH4 N2O

JJA insolation (15-30°N)

Sea-level

External forcings applied in transient simulations from 10,000 years before present - present day (CE 1950)

Ivanovic et al 2016, GMDextended to present day

Orbit, CO2, N2O & CH4: updated every timestep

Ice-sheets & sea-level: updated every 500 years

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20-30°N

10-20°N prec

ipita

tion

(mm

/day

)

STD+VEG+CONV +CONV+VEG

Precipitation response in latitude bands over North Africaannual 100 year running meanJune-July-August-September (JJAS) mean

+CONV+VEG is much wetter in early to mid-Holocene and shows abrupt behaviour around 6000 years BP

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Reconstructions: Shanahan et al. 2015, Nature GeoscienceDallmeyer et al. (2020), Climate Past

Reconstructions

+CONV +CONV+VEG

STD

time of termination (year BP)

Timing of aridification compared to reconstructions

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Vegetation cover in North Africa: 20-30°N [0-1]

Hopcroft et al, in prep.

20-30°N

vege

tate

d fr

actio

n [0

-1]

STD+VEG+CONV +CONV+VEG

Vegetation response

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Approaching the threshold

e.g. Scheffer et al 2009, Nature

STD+VEG+CONV +CONV+VEG

Vegetation fraction

Variance

The variance only increases in the +CONV+VEG run, even though +VEG samples some of the same state space in terms of vegetation cover.

→ interaction of the CONV and VEG leads to new threshold behavior.

STD+VEG+CONV +CONV+VEG


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