• Keine Ergebnisse gefunden

Climate-Vegetation-Feedbacks as a Mechanism for Accelerated Climate Change: Climate-Vegetation-Feedbacks as a Mechanism for Accelerated Climate Change: The Greening Sahara Case The Greening Sahara Case

N/A
N/A
Protected

Academic year: 2022

Aktie "Climate-Vegetation-Feedbacks as a Mechanism for Accelerated Climate Change: Climate-Vegetation-Feedbacks as a Mechanism for Accelerated Climate Change: The Greening Sahara Case The Greening Sahara Case"

Copied!
1
0
0

Wird geladen.... (Jetzt Volltext ansehen)

Volltext

(1)

ODP108_658C

Climate-Vegetation-Feedbacks as a Mechanism for Accelerated Climate Change:

Climate-Vegetation-Feedbacks as a Mechanism for Accelerated Climate Change:

The Greening Sahara Case The Greening Sahara Case

Oliver Timm*, IPRC-SOEST, University of Hawai'i at Manoa, Honolulu, Hawaii Oliver Timm*, IPRC-SOEST, University of Hawai'i at Manoa, Honolulu, Hawaii

Peter Koehler, Alfred Wegener Institute, for Polar and Marine Research, Bremerhaven, Germany Peter Koehler, Alfred Wegener Institute, for Polar and Marine Research, Bremerhaven, Germany

Axel Timmermann, IPRC-SOEST, University of Hawai'i at Manoa, Honolulu, Hawaii Axel Timmermann, IPRC-SOEST, University of Hawai'i at Manoa, Honolulu, Hawaii

*IPRC-SOEST, University of Hawaii at Manoa, 1680 East-West Rd, POST Bldg 413J, Honolulu, HI 96822, USA

*IPRC-SOEST, University of Hawaii at Manoa, 1680 East-West Rd, POST Bldg 413J, Honolulu, HI 96822, USA timm@hawaii.edu

timm@hawaii.edu

Model Simulations:

To understand the vegetation-climate feedback we used two different models: the dynamical

vegetation model LPJ was forced with 2m air temperatures, precipitation, and cloud cover from time slice experiments with the HADCM3 model 21,000BP-0BP [Koehler et al.]. In a second experiment, the LPJ was forced with temperatures and precipitation data from a transient simulation with ECBilt- CLIO [Timm and Timmermann, 2007].

Dynamical Vegetation Model LPJ

LOVECLIM

(ECBilt-CLIO) HADCM3

Temperature Precipitation

Cloud cover Temperature Precipitation

Dynamical Vegetation Model LPJ

Atmosphere (ECBilt)

Ocean

(CLIO) Dyn.Vegetation (VECODE)

Earth System model LOVECLIM

temperature precipitation Sensible heat

latent heat raditative flux momentum river runoff flux

on/ on

off albedo feedback

Antarctic Ice Core EDML methane

(a) (b)

(c)

Fig 3:

Simulated plant fraction coverage [%] during the maximum of the African humid period 9000-8000 BP:

(a) LPJ with HADCM3 forcing , (b) LPJ with ECBILT forcing, (c)

LOVECLIM with vegetation-albedo feedback, (d) LOVECLIM without vegetation-albedo feedback. With the albedo-feedback from the With the albedo-feedback from the vegetation, larger areas in the central and western Sahara are vegetation, larger areas in the central and western Sahara are covered large by vegetation.

covered large by vegetation.

(d)

Introduction:

Paleo-environmental records and extensive modeling studies have demonstrated that the Sahara was largely covered by grass and steppe vegetation in the early to mid Holocene. The orbitally controlled incoming summer insolation is the primary forcing factor during the Holocene. It is well-documented that internal feedback- mechanisms between the vegetation and the atmosphere-ocean system caused a sudden shift from the vegetated humid Sahara state to a arid desert climate about 5000-4000 years ago. Proxy evidence suggests also an abrupt onset of the African Humid Period between 14,000 and 11,000 BP. However, the attribution of the rapid onset to orbitally driven insolation anomalies or to the Bølling-Allerød, Younger- Dryas transitions non-trivial. Here we show in transient simulations with climate and vegetation models of different complexity that the abrupt change of the African Monsoon/Vegetation system from dry/deserted glacial state to wet/green conditions is accelerated by the vegetation-albedo feedback. The non-linear response of the climate-vegetation system to precessional forcing leads to a 'rapid' onset of the African Humid Period at ~11,000BP.

Fig 1:

Temperature, precipitation and carbon stock over western North Africa (15°N-30°N/15°W-35°E) in the LOVECLIM simulations with/without vegetation feedback (green/black, respectively). The vegetation feedback enhances the precipitation anomalies over the greening Sahara, which leads to a further

northward expansion of the vegetation. As a result the vegetation-albedo feedback accelerates the

vegetation-albedo feedback accelerates the

northward movement of the ITZC and increases northward movement of the ITZC and increases the precipitation and the terrestrial carbon storage the precipitation and the terrestrial carbon storage at ~12,000 BP

at ~12,000 BP. The wet and green Sahara climate state reaches peak values during the early Holocene (~8000 BP).

Temperature, Rainfall, and Vegetation in Western North Africa

Fig 4:

(a) Moisture flux (vectors) and moisture flux convergence (divergence) in green (red) colors for the northern hemisphere summer (June-September) in the LOVECLIM simulation without vegetation-albedo feedback during the peak African Monsoon 9,000- 8,000 BP. Black contours depict the precipitation [mm/day]. (b) Difference between LOVECLIM simulation with and without vegetation-albedo

feedback. Green colors mark regions of more moisture convergence and increased precipitation (contours) with vegetation-albedo feedback. The vegetation feedback increases the inflow of moist air masses from the tropical Atlantic into the continent.

Vegetation­Atmosphere feedback dynamics

Fig 5

(top): Average seasonal cycle in western Africa (10W-10E) for the time of the Holocene maximum precipitation at

9,000-8,000 BP. Left (right), LOVECLIM simulation without (with) vegetation-albedo

feedback (units in mm/day). The albedo-feedback has largest effect on the July-August months

and leads to more intense rainfall.

(middle) Average seasonal cycle in the meridional winds across the equator

for 9,000-8,000 BP. The July-August month have enhanced cross equatorial flow with vegetation feedback

(bottom) Average seasonal cycle in the zonal winds on the equator

for 9,000-8,000 BP.

Sep 20ºN June 20ºN

Burundi rainfall anomalies MD03-2707

Dongge(D4)

74KL carbon percentage

Summary and conclusion:

1) The initial intensification and northward shift of the ITCZ rainfall is triggered by the increased incoming solar radiation during boreal summer (June-September).

2) The transition from desert to grass-shrub vegetation in western and central North Africa enhances the convergent flow of low-level moist air masses from the sub-

/tropical Atlantic into the Sahara.

3) The response of the vegetation (within ~100 years) is relatively fast compared with the orbital precessional forcing (~21,000 yr) period. The vegetation feedback leads to a 'rapid' climate response.

4) The described mechanism is comparable with the abrupt cessation of the African Humid Period about 5000-4000 BP. In the simulation with the vegetation-albedo

increases the carbon storage in the terrestrial vegetation.

5) Coupled climate-vegetation-carbon-models are crucial for the estimation of carbon budgets in atmosphere, ocean, and on land.

6) The comparison of the model results with proxy records is challenging.

The large millennial climate transitions, Boelling-Allerod and the Younger

Dryas,mask signals resulting from the feedback between atmosphere-vegetation.

vegetation-albedo feedback on:

vegetation-albedo feedback off

LPJ with ECBilt-CLIO LPJ with HADCM3

Fig 2:

precipitation and terrestrial carbon stock over western North Africa (15°N-30°N/15°W-35°E) in the LPJ simulations with LOVECLIM (ECBilt-CLIO) atmospheric forcing (left) and HADCM3 forcing (right).

The precipitation forcing shows some differences in the absolute values with less annual precipitation in ECBilt-CLIO. Strikingly, the HADCM3 precipitation has a sharp decrease in the late Holocene. The terrestrial vegetation response follows the more closely the

precipitation forcing in the HADCM3 run rather than in the ECBILT-Clio run, where the Holocene vegetation cover does not decrease in the late Holocene. The results show that the mean precipitation fields the mean precipitation fields control the response of the vegetation to rainfall control the response of the vegetation to rainfall anomalies.

anomalies.

Kilimanjaro

Bosumtwi

Acknowledgments:

This research project was supported by the Japan Agency for Marine-Earth Science and Technology (JAMSTEC) through its

sponsorship of the International Pacific Research Center.

The authors acknowledge all contributors of the paleodata made their data publicly

available through the IGBP PAGES/World Data Center for Paleoclimatology

(NOAA/NCDC Paleoclimatology Program, Boulder, Colorado, USA).

Orbital forcing 21,000-present

Soreq

AGU Fall Meeting, 2007, GC33A-0957 (MS Exh Hall B, WednesdayDec 12th)

Referenzen

ÄHNLICHE DOKUMENTE

The Lake Chad Climate-Fragility Risk Assessment Project aims to compre- hendsively assess the key climate related security risks facing the Lake Chad region based

Second, that political leadership in Europe can unlock more green growth – and drive global ambition to tackle climate change.. And third, that

Climate change is widely recognized as one of the leading environmental challenges for present and future generations. The adverse consequences of climate change tend

In the Arab world, climate change has acted as a threat multiplier, exacerbating environmental, social, economic, and political drivers of unrest, including drought, water

- Climate-economy feedbacks, temperature variability, and the social cost of carbon 07-05-2020... Updating the social cost of carbon for amongst others AR5, SAF, PCF, and

We used a stylized global carbon cycle model to study four classes of interactions between biosphere integrity and climate: response lags, permafrost thaw, terrestrial biodiversity

HAPPI framework would result in different conclusions with respect to changes in regional climate and extremes at 1.5°C versus 2°C global mean temperature levels when compared

The magnitude of the biogeophysical effects of enhanced forest cover on temperature and precipitation means and extremes have been analyzed relative to the magnitude of the