title: [Modeling of CO2 fluxes at cropland by using SiB3 model].
abstract: The aim is to study the influence of different vegetation types on CO2 fluxes at the same site, taking farmland as the object by using the simple biosphere model (SiB3) , select different vegetation types in Suzhou Dongshan site as input parameters of model to simulate CO2 fluxes, and compare with the observational data in Suzhou Dongshan site during 2011-04-16 to 2011-06-30. Results show that using corn as the site vegetation type input model to simulate CO2 fluxes showed a very good diurnal variation agreement compared to the measured data, but selecting the ordinary crop type input model to simulate CO2 fluxes, CO2 fluxes during the daytime in April and May were undervalued, and CO2 fluxes in June were overvalued; when we select the tea type to input the model, the simulated results significantly overestimated CO2 fluxes during the daytime in May and June. In addition, when using SiB3 model to simulate the daily CO2 fluxes, all three vegetation types input model can effectively simulate daily CO2 fluxes, but not significantly. It shows that choosing the right type vegetation input SiB3 model can effectively simulate the diurnal variation of CO2 fluxes, but can not effectively improve the daily CO2 fluxes simulation.
authors.affiliation: State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China. zhanggengjun3@gmail.com
authors.forename: Geng-Jun
authors.initials: GJ
authors.lastname: Zhang
authors.affiliation: Cooperative Institute for Research in the Atmosphere, Colorado State University, CO 80523, USA.
authors.forename: Li-Xin
authors.initials: LX
authors.lastname: Lu
authors.affiliation: State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences, Beijing 100875, China.
authors.forename: Ling-Mei
authors.initials: LM
authors.lastname: Jiang
authors.affiliation: State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Jiang
authors.affiliation: Department of Atmosphere Science, Colorado State University, CO 80523, USA.
authors.forename: Baker
authors.initials: B
authors.lastname: Ian
mesh_terms: D002245:Carbon Dioxide / Q000032:analysis*; D018556:Crops, Agricultural / Q000737:chemistry*; D008962:Models, Theoretical; D010507:Periodicity; D003313:Zea mays / Q000737:chemistry
chemical_list: D002245:Carbon Dioxide