Online coupled regional meteorology chemistry models in Europe: current status and prospects

被引：243

作者：

Baklanov, A. ^{[1
]}

Schluenzen, K. ^{[2
]}

Suppan, P. ^{[3
]}

Baldasano, J. ^{[4
]}

Brunner, D. ^{[5
]}

Aksoyoglu, S. ^{[6
]}

Carmichael, G. ^{[7
]}

Douros, J. ^{[8
]}

Flemming, J. ^{[9
]}

Forkel, R. ^{[3
]}

Galmarini, S. ^{[10
]}

Gauss, M. ^{[11
]}

Grell, G. ^{[12
]}

Hirtl, M. ^{[13
]}

Joffre, S. ^{[14
]}

Jorba, O. ^{[4
]}

Kaas, E. ^{[15
]}

Kaasik, M. ^{[16
]}

Kallos, G. ^{[17
]}

Kong, X. ^{[18
]}

Korsholm, U. ^{[1
]}

Kurganskiy, A. ^{[19
]}

Kushta, J. ^{[17
]}

Lohmann, U. ^{[20
]}

Mahura, A. ^{[1
]}

Manders-Groot, A. ^{[21
]}

Maurizi, A. ^{[22
]}

Moussiopoulos, N. ^{[8
]}

Rao, S. T. ^{[23
]}

Savage, N. ^{[24
]}

Seigneur, C. ^{[25
]}

Sokhi, R. S. ^{[18
]}

Solazzo, E. ^{[10
]}

Solomos, S. ^{[17
]}

Sorensen, B. ^{[15
]}

Tsegas, G. ^{[8
]}

Vignati, E. ^{[10
]}

Vogel, B. ^{[26
]}

Zhang, Y. ^{[27
]}

机构：

[1] Danish Meteorol Inst, Copenhagen, Denmark

[2] Univ Hamburg, Inst Meteorol, Hamburg, Germany

[3] Karlsruhe Inst Technol, Garmisch Partenkirchen, Germany

[4] Barcelona Supercomp Ctr, Barcelona, Spain

[5] Swiss Fed Labs Mat Sci & Technol, Empa, Dubendorf, Switzerland

[6] Paul Scherrer Inst, Villigen, Switzerland

[7] Univ Iowa, Ctr Global & Reg Environm Res, Iowa City, IA 52242 USA

[8] Aristotle Univ Thessaloniki, GR-54006 Thessaloniki, Greece

[9] European Ctr Medium Range Weather Forecasts, Reading RG2 9AX, Berks, England

[10] Commiss European Communities, Joint Res Ctr, Inst Environm & Sustainabil, I-21020 Ispra, Italy

[11] Norwegian Meteorol Inst, Bergen, Norway

[12] NOAA ESRL, Boulder, CO USA

[13] Cent Inst Meteorol & Geodynam, Vienna, Austria

[14] Finnish Meteorol Inst, FIN-00101 Helsinki, Finland

[15] Univ Copenhagen, Niels Bohr Inst, DK-2100 Copenhagen, Denmark

[16] Univ Tartu, EE-50090 Tartu, Estonia

[17] Univ Athens, Athens, Greece

[18] Univ Hertfordshire, Ctr Atmospher & Instrumentat Res, Hatfield AL10 9AB, Herts, England

[19] Russian State Hydrometeorol Univ, St Petersburg, Russia

[20] ETH, Inst Atmospher & Climate Sci, Zurich, Switzerland

[21] TNO, Utrecht, Netherlands

[22] Italian Natl Res Council, Inst Atmospher Sci & Climate, Bologna, Italy

[23] US EPA, Res Triangle Pk, NC 27711 USA

[24] Met Off, Exeter, Devon, England

[25] Univ Paris Est, Joint Lab Ecole Ponts ParisTech EDF R&D, CEREA, Marne La Vallee, France

[26] Karlsruhe Inst Technol, Eggenstein Leopoldshafen, Germany

[27] N Carolina State Univ, Raleigh, NC 27695 USA

来源：

ATMOSPHERIC CHEMISTRY AND PHYSICS | 2014年 / 14卷 / 01期

基金：

美国国家科学基金会;

关键词：

SECONDARY ORGANIC AEROSOL; AIR-QUALITY MODELS; NUMERICAL WEATHER PREDICTION; CLOUD DROPLET FORMATION; GAS-PHASE CHEMISTRY; INORGANIC MULTICOMPONENT AEROSOLS; PROGNOSTIC PHYSICOCHEMICAL MODEL; THERMODYNAMIC-EQUILIBRIUM MODEL; VARIATIONAL DATA ASSIMILATION; HETEROGENEOUS ICE NUCLEATION;

D O I：

10.5194/acp-14-317-2014

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Online coupled mesoscale meteorology atmospheric chemistry models have undergone a rapid evolution in recent years. Although mainly developed by the air quality modelling community, these models are also of interest for numerical weather prediction and regional climate modelling as they can consider not only the effects of meteorology on air quality, but also the potentially important effects of atmospheric composition on weather. Two ways of online coupling can be distinguished: online integrated and online access coupling. Online integrated models simulate meteorology and chemistry over the same grid in one model using one main time step for integration. Online access models use independent meteorology and chemistry modules that might even have different grids, but exchange meteorology and chemistry data on a regular and frequent basis. This article offers a comprehensive review of the current research status of online coupled meteorology and atmospheric chemistry modelling within Europe. Eighteen regional online coupled models developed or being used in Europe are described and compared. Topics discussed include a survey of processes relevant to the interactions between atmospheric physics, dynamics and composition; a brief overview of existing online mesoscale models and European model developments; an analysis on how feedback processes are treated in these models; numerical issues associated with coupled models; and several case studies and model performance evaluation methods. Finally, this article highlights selected scientific issues and emerging challenges that require proper consideration to improve the reliability and usability of these models for the three scientific communities: air quality, numerical meteorology modelling (including weather prediction) and climate modelling. This review will be of particular interest to model developers and users in all three fields as it presents a synthesis of scientific progress and provides recommendations for future research directions and priorities in the development, application and evaluation of online coupled models.

引用

页码：317 / 398

页数：82

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