DOI: 10.1002/2017MS001053
Scopus记录号: 2-s2.0-85033679764
论文题名: Large-Scale Atmospheric Transport in GEOS Replay Simulations
作者: Orbe C ; , Oman L ; D ; , Strahan S ; E ; , Waugh D ; W ; , Pawson S ; , Takacs L ; L ; , Molod A ; M
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期: 7 起始页码: 2545
结束页码: 2560
语种: 英语
英文关键词: Atmospheric chemistry
; Chemical analysis
; Meteorology
; Chemical transport models
; Constrained simulations
; General circulation model
; Goddard earth observing systems
; Large-scale tropospheric transport
; Meteorological analysis
; Research and application
; Retrospective analysis
; Atmospheric movements
; atmospheric chemistry
; atmospheric dynamics
; atmospheric forcing
; atmospheric transport
; chemical composition
; computer simulation
; EOS
; general circulation model
; performance assessment
; stratosphere
; tracer
; troposphere
英文摘要: Offline chemical transport models (CTMs) have traditionally been used to perform studies of atmospheric chemistry in a fixed dynamical environment. An alternative to using CTMs is to constrain the flow in a general circulation model using winds from meteorological analyses. The Goddard Earth Observing System (GEOS) “replay” approach involves reading in analyzed fields every 6 h and recomputing the analysis increments, which are applied as a forcing to the meteorology at every model time step. Unlike in CTM, all of the subgrid-scale processes are recalculated online so that they are consistent with the large-scale analysis fields, similar in spirit to “nudged” simulations, in which the online meteorology is relaxed to the analysis. Here we compare the transport of idealized tracers in different replay simulations constrained with meteorological fields taken from The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). We show that there are substantial differences in their large-scale stratospheric transport, depending on whether analysis fields or assimilated fields are used. Replay simulations constrained with the instantaneous analysis fields produce stratospheric mean age values that are up to 30% too young relative to observations; by comparison, simulations constrained with the time-averaged assimilated fields produce more credible stratospheric transport. Our study indicates that care should be taken to correctly configure the model when the replay technique is used to simulate stratospheric composition. © 2017. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75700
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: GESTAR, Columbia, MD, United States; Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD, United States; Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Universities Space Research Association, Washington, DC, United States; Science Systems and Applications Inc., Lanham, MD, United States
Recommended Citation:
Orbe C,, Oman L,D,et al. Large-Scale Atmospheric Transport in GEOS Replay Simulations[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(7)