11:00 AM - 1:00 PM
[ACG38-P02] Improvement of a diagnostic terrestrial model, BESS, based on multiple observation constraints and sequential optimization
Keywords:Carbon Cycle, Remote Sensing, Model Optimization, Diagnostic Model, Gross Primary Production, Flux
Our target is trying to figure out the feasibility of optimization methods for mechanistic models with multiple observation constraints. In this research, we apply an idea to divide the outputs in 3 tiers as Net Radiation(Rn), Evapotranspiration(ET) and Gross Primary Production (GPP).
In the site-level research, we will select some representative flux sites. It will optimize the parameters only related to one output in one tier and settle them before the next tier optimization begins. In the end, we can settle some parameters to reduce the need of input data and make sure the result is close to the observation constraints.
As for expanding into a map with the satellite data source, we would like to implement the original BESS model as a GCOM-C product and conduct evaluations using eddy-covariance site data and existing MODIS products with the optimization algorithms.