Gradient-Independent Models of Water, Energy and Carbon Fluxes - New Approaches for Modelling Global Water-Energy-Carbon Cycles
Prof. Jingfeng Wang
Georgia Institute of Technology, USA
Monitoring and modelling global water, energy and carbon cycles depend on remote sensing observations. Bulk transfer method based of fluxes models require near-surface water vapour, temperature and carbon dioxide concentration gradients data that cannot be measured by remote sensing instruments. A mathematical tool known as fractional calculus allows the gradient variables to be expressed analytically to the functionals of the time-series records of water vapour, temperature and carbon concentration. The MEP model of surface fluxes facilitates the parameterization of the eddy-diffusivity parameters in the diffusion equations describing the turbulent transport of the entities in the atmospheric boundary layer. The gradients independent fluxes models are more efficient than bulk transfer models due to its parsimony in model parameters and input and reduced sensitivity of the modeled fluxes to the uncertainties of the model input and parameters.