Technical note: Coordination and harmonization of the multi-scale, multi-model activities HTAP2, AQMEII3, and MICS-Asia3: simulations, emission inventories, boundary conditions, and model output formats.
Technical note: Coordination and harmonization of the multi-scale, multi-model activities HTAP2, AQMEII3, and MICS-Asia3: simulations, emission inventories, boundary conditions, and model output formats.
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DOI：
10.5194/acp-17-1543-2017
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发表时间：
2017-01-31
期刊：
影响因子：
--
通讯作者：
Dentener F
中科院分区：
文献类型：
--
作者：
Galmarini S;Koffi B;Solazzo E;Keating T;Hogrefe C;Schulz M;Benedictow A;Griesfeller JJ;Janssens-Maenhout G;Carmichael G;Fu J;Dentener F
我们概述了2012-2016年期间由半球空气污染传输工作组（TF HTAP）进行的协调全球数值模拟实验，欧洲和北美空气质量模型评估国际倡议（AQMEII）的区域实验，以及亚洲模型相互比较研究（MICS-Asia）。为了改进空气污染洲际传输对气候、生态系统和人类健康影响的模型估计，并回答一系列与政策相关的问题，这三项倡议在全球、半球和大陆/区域尺度上进行了一致的排放扰动模拟实验。在所有这三项举措中，将模型结果与从若干来源收集的不同测量平台（地面测量、垂直剖面、空中测量）的一系列变量（气象、痕量气体浓度以及气溶胶质量和成分）的监测数据进行了广泛比较。大约有10至25个建模小组为每项举措做出了贡献，模型结果通过每项举措维护的三个数据中心集中管理。考虑到将这三项举措结合起来解决一组共同的政策相关问题的组织复杂性，本出版物提供了建模活动的动机，模型实验中所作具体选择的理由，以及本特刊中一些建模研究中使用和分析的建模和测量的组织结构概述。
We present an overview of the coordinated global numerical modelling experiments performed during 2012–2016 by the Task Force on Hemispheric Transport of Air Pollution (TF HTAP), the regional experiments by the Air Quality Model Evaluation International Initiative (AQMEII) over Europe and North America, and the Model Intercomparison Study for Asia (MICS-Asia). To improve model estimates of the impacts of intercontinental transport of air pollution on climate, ecosystems, and human health and to answer a set of policy-relevant questions, these three initiatives performed emission perturbation modelling experiments consistent across the global, hemispheric, and continental/regional scales. In all three initiatives, model results are extensively compared against monitoring data for a range of variables (meteorological, trace gas concentrations, and aerosol mass and composition) from different measurement platforms (ground measurements, vertical profiles, airborne measurements) collected from a number of sources. Approximately 10 to 25 modelling groups have contributed to each initiative, and model results have been managed centrally through three data hubs maintained by each initiative. Given the organizational complexity of bringing together these three initiatives to address a common set of policy-relevant questions, this publication provides the motivation for the modelling activity, the rationale for specific choices made in the model experiments, and an overview of the organizational structures for both the modelling and the measurements used and analysed in a number of modelling studies in this special issue.
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影响因子：
6.3
作者：
Janssens-Maenhout, G.;Crippa, M.;Li, M.
通讯作者：
Li, M.
影响因子：
4.4
作者：
Lin, Meiyun;Fiore, Arlene M.;Wyman, Bruce
通讯作者：
Wyman, Bruce
影响因子：
5
作者：
Pouliot, George;van der Gon, Hugo A. C. Denier;Makar, Paul A.
通讯作者：
Makar, Paul A.
影响因子：
4.4
作者：
Bey, I;Jacob, DJ;Schultz, MG
通讯作者：
Schultz, MG
影响因子：
5
作者：
Soares, J.;Sofiev, M.;Hakkarainen, J.
通讯作者：
Hakkarainen, J.