气候变化领域集成服务门户(CCPortal): Dynamical Downscaling of CO2 in 2016 Over the Contiguous United States Using WRF-VPRM, a Weather-Biosphere-Online-Coupled Model

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DOI	10.1029/2019MS001875
	Dynamical Downscaling of CO2 in 2016 Over the Contiguous United States Using WRF-VPRM, a Weather-Biosphere-Online-Coupled Model
	Hu X.-M.; Crowell S.; Wang Q.; Zhang Y.; Davis K.J.; Xue M.; Xiao X.; Moore B.; Wu X.; Choi Y.; DiGangi J.P.
发表日期	2020
ISSN	19422466
卷号	12 期号:4
英文摘要	Ecosystem function (particularly CO2 fluxes and the subsequent atmospheric transport), synoptic-scale weather (e.g., midlatitude cyclones), and interactions between ecosystems and the atmosphere can be investigated using a weather-biosphere-online-coupled model. The Vegetation Photosynthesis and Respiration Model (VPRM) was coupled with the Weather Research and Forecasting (WRF) model in 2008 to simulate “weather-aware” biospheric CO2 fluxes and subsequent transport and dispersion. The ability of the coupled WRF-VPRM modeling system to simulate the CO2 structures within midlatitude cyclones, however, has not been evaluated due to the lack of data within these weather systems. In this study, VPRM parameters previously calibrated off-line using eddy covariance tower data over North America are implemented into WRF-VPRM. The updated WRF-VPRM is then used to simulate spatiotemporal variations of CO2 over the contiguous United States at a horizontal grid spacing of 12 km for 2016 using an optimized downscaling configuration. The downscaled fields are evaluated using remotely sensed data from the Orbiting Carbon Observatory-2, Total Carbon Column Observing Network, and in situ aircraft measurements from Atmospheric Carbon and Transport-America missions. Evaluations show that WRF-VPRM captures the monthly variation of column-averaged CO2 concentrations (XCO2) and episodic variations associated with frontal passages. The downscaling also successfully captures the horizontal CO2 gradients across fronts and vertical CO2 contrast between the boundary layer and the free troposphere. WRF-VPRM modeling results indicate that from May to September, biogenic fluxes dominate variability in XCO2 over most of the contiguous United States, except over a few metropolitan areas such as Los Angeles. © 2020. The Authors.
英文关键词	Atmospheric Carbon and Transport (ACT)-America; Carbon Dioxide; dynamical downscaling; midlatitude cyclones; Orbiting Carbon Observatory-2; WRF-VPRM
语种	英语
scopus关键词	Biospherics; Boundary layers; Carbon; Carbon dioxide; Ecosystems; Storms; Atmospheric transport; Dynamical downscaling; Eddy covariance towers; Horizontal grid spacing; Online coupled models; Spatio-temporal variation; Transport and dispersions; Weather research and forecasting models; Weather forecasting; boundary layer; carbon dioxide; climate modeling; concentration (composition); coupling; downscaling; eddy covariance; OCO; troposphere; weather forecasting; World Wide Web; California; Los Angeles [California]; United States
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156737
作者单位	Center for Analysis and Prediction of Storms, Norman, OK, United States; School of Meteorology, University of Oklahoma, Norman, OK, United States; Department of Microbiology and Plant Biology, and Center for Spatial Analysis, University of Oklahoma, Norman, OK, United States; Now at Department of Environmental Engineering, Columbia University, New York, NY, United States; Department of Meteorology and Atmospheric Science, University Park, PA, United States; Earth and Environmental Sciences Institute, The Pennsylvania State University, University Park, PA, United States; NASA Langley Research Center, Hampton, VA, United States
推荐引用方式 GB/T 7714	Hu X.-M.,Crowell S.,Wang Q.,et al. Dynamical Downscaling of CO2 in 2016 Over the Contiguous United States Using WRF-VPRM, a Weather-Biosphere-Online-Coupled Model[J],2020,12(4).
APA	Hu X.-M..,Crowell S..,Wang Q..,Zhang Y..,Davis K.J..,...&DiGangi J.P..(2020).Dynamical Downscaling of CO2 in 2016 Over the Contiguous United States Using WRF-VPRM, a Weather-Biosphere-Online-Coupled Model.Journal of Advances in Modeling Earth Systems,12(4).
MLA	Hu X.-M.,et al."Dynamical Downscaling of CO2 in 2016 Over the Contiguous United States Using WRF-VPRM, a Weather-Biosphere-Online-Coupled Model".Journal of Advances in Modeling Earth Systems 12.4(2020).