However, global -
scale vegetation model development has strongly focused on productivity processes whereas, apart from major disturbances such as fire, the dynamics of carbon turnover have been largely ignored.
Not exact matches
The
model allowed Bonachela and his colleagues to apply small -
scale observational data broadly to understand how rainfall influences
vegetation growth and persistence in the presence and absence of termites across an entire ecosystem.
Adding chlorofyll fluorescence to
vegetation models provides means to understand photosynthesis better at a global
scale and improve its
modelling.
In this work we implemented a chlorophyll fluorescence
model developed at leaf
scale to a global
vegetation model JSBACH and we evaluated the
model performance in terms of photosynthesis and chlorophyll fluorescence.
As the temporal
scale is extended, the development of dynamic
vegetation models, which respond to climate and human land use as well as other changes, is a central issue.
The researchers used a climate -
vegetation model that showed (like several similar studies) a clear increase in Amazonian drought following a global average temperature rise — leading to a large -
scale die - back of rainforest, switching to grassland and savanna climate suitability.
Modelling interactions between terrestrial and atmospheric systems requires coupling successional
models to biogeochemical
models and physiological
models that describe the exchange of water and energy between
vegetation and the atmosphere at fine time -
scales.
The meeting will mainly cover the following themes, but can include other topics related to understanding and
modelling the atmosphere: ● Surface drag and momentum transport: orographic drag, convective momentum transport ● Processes relevant for polar prediction: stable boundary layers, mixed - phase clouds ● Shallow and deep convection: stochasticity,
scale - awareness, organization, grey zone issues ● Clouds and circulation feedbacks: boundary - layer clouds, CFMIP, cirrus ● Microphysics and aerosol - cloud interactions: microphysical observations, parameterization, process studies on aerosol - cloud interactions ● Radiation: circulation coupling; interaction between radiation and clouds ● Land - atmosphere interactions: Role of land processes (snow, soil moisture, soil temperature, and
vegetation) in sub-seasonal to seasonal (S2S) prediction ● Physics - dynamics coupling: numerical methods,
scale - separation and grey - zone, thermodynamic consistency ● Next generation
model development: the challenge of exascale, dynamical core developments, regional refinement, super-parametrization ● High Impact and Extreme Weather: role of convective
scale models; ensembles; relevant challenges for
model development
Adding chlorofyll fluorescence to
vegetation models provides means to understand photosynthesis better at a global
scale and improve its
modelling.
Extrapolated to global
scale, these are termed Dynamic Global
Vegetation Models (DGVMs, see Glossary).
Specific research topics include carbon dioxide, methane and water fluxes and their reservoirs in
vegetation and soil, transport in atmosphere, and
model - data fusion using advanced numerical methods.The research is based on numerical
modelling, from local to global
scale with focus on northern regions.
Vegetation / ecosystem
modelling and analysis project: comparing biogeography and biogeochemistry
models in a continental -
scale study of terrestrial responses to climate change and CO2 doubling.