research | curriculum vitae | publications
| carrer development plan (internal)
Research: Development of an improved global dust-cycle
model through integration with an existing dynamic global
vegetation model, and validation under modern and palaeo-conditions.
objective of this research is to model the influence of vegetation
cover on dust emissions by coupling a dust emission model
(Tegen et al., 2002) directly to a dynamic global vegetation
model (DGVM), LPJ-SPITFIRE. In order to improve representation
of vegetation dynamics in arid regions, new shrub type plant
functional types will be introduced into LPJ-SPITFIRE. A parameterisation
for sub grid scale gustiness will be applied to the dust model.
improved dust-cycle model will be used to investigate changes
in the dust cycle under past, present and future climate conditions.
Simulations will be run for palaeoclimate conditions at the
Last Glacial Maximum (21,000 yr BP) and the Mid-Holocene (6,000
yr BP) using data from the Palaeoclimate Modelling Intercomparison
dust deposition rates will be compared to observed rates as
recorded by ice, marine and terrestrial cores in The Dust
Indicators and Records of Terrestrial and Marine Palaeoenvironments
(DIRTMAP) data base. Glacial and interglacial dust deposition
rates will be validated against ice core dust records.
This project (ERS VII) contributes to the science
objective 6 (Quantify impacts of vegetation and climate
changes on atmospheric dust, and its feedbacks on CO2
and climate). It has collaborations with projects ER 1 (Sönke),
ESR XII (Anna)
and ER 5.