Southeast Atmosphere Studies: learning from model-observation syntheses.
Southeast Atmosphere Studies: learning from model-observation syntheses.
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DOI：
10.5194/acp-18-2615-2018
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发表时间：
2018
影响因子：
6.3
通讯作者：
Horowitz LW
中科院分区：
文献类型：
--
作者：
Mao J;Carlton A;Cohen RC;Brune WH;Brown SS;Wolfe GM;Jimenez JL;Pye HOT;Ng NL;Xu L;McNeill VF;Tsigaridis K;McDonald BC;Warneke C;Guenther A;Alvarado MJ;de Gouw J;Mickley LJ;Leibensperger EM;Mathur R;Nolte CG;Portmann RW;Unger N;Tosca M;Horowitz LW
在过去几十年里，美国大气痕量物质的浓度发生了巨大变化，这是对污染控制策略、国内能源政策和经济的转变以及世界其他地区经济发展（以及由此产生的排放变化）的响应。对未来大气的可靠预测要求模型不仅要准确描述当前的大气浓度，而且要通过在概念和定量上精确地呈现化学、物理和生物过程来做到这一点。只有通过纳入控制排放的过程以及代表活性分子之间关键转化的化学机制，模型才能可靠地预测未来政策、能源和气候情景的影响。正确识别和实施大气模型中的基本控制机制的工作得益于密集观测期，在此期间，可以获得气相和凝聚相中多种特定化学物质的并置测量结果。2013年夏季进行的东南大气研究（SAS，包括SENEX、SOAS、NOMADSS和SEAC4RS）为大气建模界提供了一个前所未有的机会，使其能够共同评估、诊断和改进不同时空尺度模型中基本气候和空气质量过程的表述。
本文旨在讨论在评估、诊断和改进空气质量和气候建模方面的进展，以与SAS观测结果的比较作为思考模型中机制和参数化改进的指导。这项工作主要侧重于对基本大气过程的模型表述，这些过程对对流层中臭氧、二次有机气溶胶（SOA）和其他痕量物质的形成至关重要，最终目的是了解这些物质在东南部及其他地区的辐射影响。在这里，我们围绕四个关键主题提出问题：气相化学、气溶胶化学、区域气候与化学相互作用以及自然和人为排放。我们期望这篇综述能为未来的建模工作提供指导。
Concentrations of atmospheric trace species in the United States have changed dramatically over the past several decades in response to pollution control strategies, shifts in domestic energy policy and economics, and economic development (and resulting emission changes) elsewhere in the world. Reliable projections of the future atmosphere require models to not only accurately describe current atmospheric concentrations, but to do so by representing chemical, physical and biological processes with conceptual and quantitative fidelity. Only through incorporation of the processes controlling emissions and chemical mechanisms that represent the key transformations among reactive molecules can models reliably project the impacts of future policy, energy and climate scenarios. Efforts to properly identify and implement the fundamental and controlling mechanisms in atmospheric models benefit from intensive observation periods, during which collocated measurements of diverse, speciated chemicals in both the gas and condensed phases are obtained. The Southeast Atmosphere Studies (SAS, including SENEX, SOAS, NOMADSS and SEAC4RS) conducted during the summer of 2013 provided an unprecedented opportunity for the atmospheric modeling community to come together to evaluate, diagnose and improve the representation of fundamental climate and air quality processes in models of varying temporal and spatial scales. This paper is aimed at discussing progress in evaluating, diagnosing and improving air quality and climate modeling using comparisons to SAS observations as a guide to thinking about improvements to mechanisms and parameterizations in models. The effort focused primarily on model representation of fundamental atmospheric processes that are essential to the formation of ozone, secondary organic aerosol (SOA) and other trace species in the troposphere, with the ultimate goal of understanding the radiative impacts of these species in the southeast and elsewhere. Here we address questions surrounding four key themes: gas-phase chemistry, aerosol chemistry, regional climate and chemistry interactions, and natural and anthropogenic emissions. We expect this review to serve as a guidance for future modeling efforts.
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影响因子：
6.3
作者：
Browne, E. C.;Wooldridge, P. J.;Cohen, R. C.
通讯作者：
Cohen, R. C.
影响因子：
11.4
作者：
Boyd, Christopher M.;Nah, Theodora;Ng, Nga Lee
通讯作者：
Ng, Nga Lee
影响因子：
6.3
作者：
Ayres, B. R.;Allen, H. M.;Fry, J. L.
通讯作者：
Fry, J. L.
影响因子：
2.9
作者：
Bates, Kelvin H.;Nguyen, Tran B.;Wennberg, Paul O.
通讯作者：
Wennberg, Paul O.
影响因子：
5.2
作者：
Attwood, A. R.;Washenfelder, R. A.;Brown, S. S.
通讯作者：
Brown, S. S.