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Climate Dynamics

, Volume 33, Issue 7–8, pp 1075–1088 | Cite as

Eemian tropical and subtropical African moisture transport: an isotope modelling study

  • Marcus HeroldEmail author
  • Gerrit Lohmann
Article

Abstract

During the last interglacial insolation maximum (Eemian, MIS 5e) the tropical and subtropical African hydrological cycle was enhanced during boreal summer months. The climate anomalies are examined with a General Circulation Model (ECHAM4) that is equipped with a module for the direct simulation of 18O and deuterium (H 2 18 O and HDO, respectively) in all components of the hydrological cycle. A mechanism is proposed to explain the physical processes that lead to the modelled anomalies. Differential surface heating due to anomalies in orbital insolation forcing induce a zonal flow which results in enhanced moisture advection and precipitation. Increased cloud cover reduces incoming short wave radiation and induces a cooling between 10°N and 20°N. The isotopic composition of rainfall at these latitudes is therefore significantly altered. Increased amount of precipitation and stronger advection of moisture from the Atlantic result in isotopically more depleted rainfall in the Eemian East African subtropics compared to pre-industrial climate. The East–West gradient of the isotopic rainfall composition reverses in the Eemian simulation towards depleted values in the east, compared to more depleted western African rainfall in the pre-industrial simulation. The modelled re-distribution of δ18O and δD is the result of a change in the forcing of the zonal flow anomaly. We conclude that the orbitally induced forcing for African monsoon maxima extends further eastward over the continent and leaves a distinct isotopic signal that can be tested against proxy archives, such as lake sediment cores from the Ethiopian region.

Keywords

Zonal Flow Boreal Summer African Continent Rain Belt Evaporative Flux 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This study was funded through DFG-Research Center/Excellence Cluster “The Ocean in the Earth System”. We thank Jürgen Pätzold and Thomas Felis for the stimulating discussions and for the insight in the work of retrieving proxy data. We are grateful to Martin Werner and Martin Losch for comments and discussions during the development of the manuscript.

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Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  1. 1.Alfred Wegener Institute for Polar and Marine ResearchBremerhavenGermany
  2. 2.MARUM, Center for Marine Environmental SciencesBremenGermany

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