Student Posters Repository

        Over the past two decades, freshwater including lakes, reservoirs, streams and rivers are receiving accumulating attention as important global methane sources, especially for regions as sensitive to global warming as the Arctic. Nevertheless, studies have shown large uncertainties in the estimation of freshwater methane emissions. Our research is to simulate lake methane emissions using a one-dimensional process-based model, called the Arctic Lake Biogeochemistry Model (ALBM). It mainly consists of several modules: the water/sediment thermal module, the water/sediment biochemical module, the gas diffusion module and the methane ebullition module. We currently have got the Finnish lake database (SYKE) including the basic physical information of 214,995 lakes, and observation of methane fluxes from 177 lakes from 1998 to 1999. There are two steps of modeling: 1) parameter calibration using observations for individual lakes using a Monte Carlo calibration method; 2) regional simulation of 214,995 lakes using SYKE data product for both historical and future results. Since the model is site-level, the study requires relatively extensive computing resources to run the simulations, which would benefit from more efficient high parallel computing approaches.