关于举办美国劳伦斯伯克利国家实验室蔡锡填博士学术讲座的通知
发布时间: 2017-12-29

题 目:Hydrological Evaluation and Biogeochemical Development of A Land Surface Model for Climate and Environmental Predictions 面向气候和环境预报的陆面过程模型:水文模拟评估和陆地氮循环模块开发

时 间:20181215001630

地 点:7号楼2楼报告厅

报告人:蔡锡填 美国劳伦斯伯克利国家实验室博士

欢迎广大师生参加

                       土木与交通学院

                       20171229

报告人简介:

蔡锡填,目前是美国劳伦斯伯克利国家实验室的博士后。他于2015年获得美国德克萨斯大学奥斯汀分校的博士学位。主要研究方向是陆地水文和生物地球化学循环及其与大气的相互作用。博士期间主持了Noah-MP陆面模型的氮循环模块的开发,提高了该模型碳循环方面的模拟。他还应用超高分辨率(30m分辨率)的陆面过程模型进行SMAP卫星(Soil Moisture Active Passive satellite)土壤水数据的验证以及地面土壤水观测网的布设。目前主要参与美国能源部的E3SM地球系统模型(Energy Exascale Earth System Model)的开发和评估工作,主要关注水文和地球生物化学循环相关的过程。

报告摘要:

As a key component of weather and climate models, land surface models (LSMs) play an important role in weather prediction and climate projections. Rapid growth in LSM development has resulted in both the improvement of existing process representation and the addition of new processes and functionalities. In this presentation, I will assess the hydrologic performance of four LSMs for the conterminous United States using the North American Land Data Assimilation System (NLDAS) test bed. Results show that there is no single model that can outperform all other models for all variables that we evaluated. Noah-MP provides the best performance in simulating soil moisture and is among the best in simulating terrestrial water storage, the Community Land Model shows the best performance in simulating ET, and the Variable Infiltration Capacity model ranks the highest in the simulations of streamflow.

Additionally, climate and terrestrial biosphere models consider nitrogen an important factor in limiting plant carbon uptake, while operational environmental models view nitrogen as the leading pollutant causing eutrophication in water bodies. I integrated a terrestrial nitrogen model into Noah-MP by coupling the Fixation and Uptake of Nitrogen (FUN) plant model and the Soil and Water Assessment Tool (SWAT) soil nitrogen dynamics. This incorporates FUN’s state-of-the-art concept of carbon cost theory and SWAT’s strength in representing the impacts of agricultural management on the nitrogen cycle. The coupled model is then evaluated at the Kellogg Biological Station. Results show that the model performs well in capturing the major nitrogen state/flux variables. More importantly, the addition of nitrogen dynamics significantly improves the modeling of the carbon and water cycles. This improvement is expected to advance the capability of Noah-MP to simultaneously predict weather and water quality in fully coupled Earth system models.