Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019JD031165 |
Seasonal Characteristics of Model Uncertainties From Biogenic Fluxes, Transport, and Large-Scale Boundary Inflow in Atmospheric CO2 Simulations Over North America | |
Feng, Sha1; Lauvaux, Thomas1,2; Davis, Kenneth J.1,3; Keller, Klaus3,4; Zhou, Yu5; Williams, Christopher5; Schuh, Andrew E.6; Liu, Junjie7; Baker, Ian6 | |
2019-12-25 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
![]() |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2019 |
卷号 | 124期号:24页码:14325-14346 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; France |
英文摘要 | Regional estimates of biogenic carbon fluxes over North America from both atmospheric inversions ("top-down" approach) and terrestrial biosphere models ("bottom-up") remain highly uncertain. We merge these approaches with an ensemble-based, regional modeling system able to diagnose and quantify the causes of uncertainties in top-down atmospheric estimates of the terrestrial sink over North America. Our ensemble approach quantifies and partitions the uncertainty stemming from atmospheric transport, the biosphere, and large-scale CO2 boundary inflow (boundary conditions). We use meteorological data, CO2 fluxes, and CO2 mole fraction measurements to assure the reliability of the ensemble system. Our results show that all uncertainty components have clear seasonal variations. The biogenic flux component dominates modeled boundary layer CO2 uncertainty, ranging from 2.5 ppm in summer and winter to 1.5 ppm in fall and spring. Spatially, it remains highly uncertain in the U.S. Corn Belt regions. Transport uncertainty reaches a maximum of 2.5 ppm in the summer months and stays at 1.2 ppm for the rest of the year and is highly correlated with the biogenic CO2 fluxes. Boundary conditions play the smallest role in atmospheric boundary layer CO2 uncertainty with a magnitude smaller than 1 ppm. However, boundary conditions are the most important uncertainty component in column-averaged CO2 (XCO2). The spatiotemporal variations of the uncertainties in modeled XCO2 are similar to those in atmospheric boundary layer CO2. |
英文关键词 | Regional CO2 modeling Uncertainty Tranport Biogenic fluxes Boundary conditions |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000504296800001 |
WOS关键词 | CARBON-DIOXIDE EMISSIONS ; ERROR CHARACTERIZATION ; ENERGY FLUXES ; PART I ; ENSEMBLE ; ECOSYSTEM ; LAND ; EXCHANGE ; IMPACT ; CYCLE |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/225971 |
专题 | 环境与发展全球科技态势 |
作者单位 | 1.Penn State Univ, Dept Meteorol & Atmospher Sci, University Pk, PA 16802 USA; 2.Univ Paris Saclay, Lab Sci Climat & Environm, CEA, CNRS,UVSQ IPSL, Gif Sur Yvette, France; 3.Penn State Univ, Earth & Environm Syst Inst, University Pk, PA 16802 USA; 4.Penn State Univ, Dept Geosci, University Pk, PA 16802 USA; 5.Clark Univ, Grad Sch Geog, Dept Biol, Worcester, MA 01610 USA; 6.Colorado State Univ, Cooperat Inst Res Atmosphere, Ft Collins, CO 80523 USA; 7.CALTECH, Jet Prop Lab, NASA, Pasadena, CA USA |
推荐引用方式 GB/T 7714 | Feng, Sha,Lauvaux, Thomas,Davis, Kenneth J.,et al. Seasonal Characteristics of Model Uncertainties From Biogenic Fluxes, Transport, and Large-Scale Boundary Inflow in Atmospheric CO2 Simulations Over North America[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019,124(24):14325-14346. |
APA | Feng, Sha.,Lauvaux, Thomas.,Davis, Kenneth J..,Keller, Klaus.,Zhou, Yu.,...&Baker, Ian.(2019).Seasonal Characteristics of Model Uncertainties From Biogenic Fluxes, Transport, and Large-Scale Boundary Inflow in Atmospheric CO2 Simulations Over North America.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,124(24),14325-14346. |
MLA | Feng, Sha,et al."Seasonal Characteristics of Model Uncertainties From Biogenic Fluxes, Transport, and Large-Scale Boundary Inflow in Atmospheric CO2 Simulations Over North America".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 124.24(2019):14325-14346. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论