大气科学Issue(5)：849-860,12.DOI:10.3878/j.issn.1006-9895.1409.14127
长江三角洲地区净生态系统二氧化碳通量及浓度的数值模拟
A Modeling Study of CO2 Flux and Concentrations over the Yangtze River Delta Using the WRF-GHG Model
摘要
Abstract
Accurate quantification of land–atmosphere exchange is crucial for the simulation of regional scale carbon flux and CO2 concentrations. In this study, a coupling model, WRF-GHG (Weather Research and Forecasting Model with Greenhouse Gases Module) is employed to simulate regional net ecosystem exchange (NEE) and atmospheric CO2 concentrations over the Yangtze River Delta (YRD) from July 28 to August 2, 2010. In the modeling system, several “tagged” species are defined to trace the contribution of various sources to atmospheric CO2 concentrations. The simulated NEE fluxes and CO2 concentrations are evaluated against in-situ measurements. The results show that VPRM can reproduce spatial-temporal variation patterns of NEE over different types of vegetation. Overall, the diurnal patterns in CO2 concentration compared quite well with field measurements, indicating that the model captures the major features in the diurnal variations of CO2. However, the model underestimates CO2 concentrations by 5~15 ppm (10−6). This is most likely due to an underestimation of anthropogenic emissions, the uncertainties of parameters defined in VPRM, and meteorological inputs. Local meteorological conditions, such as land-lake breeze, exert an important impact on CO2 concentrations. While lake-atmospheric interactions over Lake Taihu and vegetation-atmospheric interactions over mountain areas in northern Zhejiang province play a dominate role in carbon sink, urban-related anthropogenic emissions act as a major source of carbon. The WRF-GHG modeling system demonstrated its capability of simulating local and regional variations in CO2 fluxes and concentrations.关键词
长江三角洲/WRF-GHG耦合模式/二氧化碳浓度/净生态系统碳通量Key words
Yangtze River Delta/WRF-GHG model/CO2 concentrations/Net ecosystem exchange分类
天文与地球科学引用本文复制引用
刁一伟,黄建平,刘诚,崔健,刘寿东..长江三角洲地区净生态系统二氧化碳通量及浓度的数值模拟[J].大气科学,2015,(5):849-860,12.基金项目
江苏高校优势学科建设工程项目PAPD，长江学者和创新团队发展计划项目 （）
