EURODELTA-Trends, a multi-model experiment of air quality hindcast in Europe over 1990-2010

被引：43

作者：

Colette, Augustin ^{[1
]}

Andersson, Camilla ^{[2
]}

Manders, Astrid ^{[3
]}

Mar, Kathleen ^{[4
]}

Mircea, Mihaela ^{[5
]}

Pay, Maria-Teresa ^{[6
]}

Raffort, Valentin ^{[7
]}

Tsyro, Svetlana ^{[8
]}

Cuvelier, Cornelius ^{[9
]}

Adani, Mario ^{[5
]}

Bessagnet, Bertrand ^{[1
]}

Bergstrom, Robert ^{[2
]}

Briganti, Gino ^{[5
]}

Butler, Tim ^{[4
]}

Cappelletti, Andrea ^{[5
]}

Couvidat, Florian ^{[1
]}

D'Isidoro, Massimo ^{[5
]}

Doumbia, Thierno ^{[10
]}

Fagerli, Hilde ^{[8
]}

Granier, Claire ^{[10
,11
,12
,13
]}

Heyes, Chris ^{[14
]}

Klimont, Zig ^{[14
]}

Ojha, Narendra ^{[15
]}

Otero, Noelia ^{[4
]}

Schaap, Martijn ^{[3
]}

Sindelarova, Katarina ^{[10
]}

Stegehuis, Annemiek I. ^{[16
]}

Roustan, Yelva ^{[7
]}

Vautard, Robert ^{[16
]}

van Meijgaard, Erik ^{[17
]}

Vivanco, Marta Garcia ^{[18
]}

Wind, Peter ^{[8
,19
]}

机构：

[1] Inst Natl Environm Ind & Risques, INERIS, Verneuil En Halatte, France

[2] Swedish Meteorol & Hydrol Inst Norrkoping, SMHI, Norrokoping, Sweden

[3] Netherlands Inst Appl Sci Res, TNO, Utrecht, Netherlands

[4] Inst Adv Sustainabil Studies, Potsdam, Germany

[5] ENEA Natl Agcy New Technol Energy & Sustainable E, Bologna, Italy

[6] Ctr Nacl Supercomp, Barcelona Supercomp Ctr, Earth Sci Dept, Barcelona, Spain

[7] Joint Lab Ecole Ponts ParisTech EDF R&D, CEREA, Champs Sur Marne, France

[8] Norwegian Meteorol Inst, MET Norway, Oslo, Norway

[9] European Commiss, Joint Res Ctr, Ispra, Italy

[10] UPMC Univ Paris 06, Sorbonne Univ, LATMOS, IPSL, Paris, France

[11] Lab Aerol, Toulouse, France

[12] Univ Colorado, NOAA Earth Syst Res Lab, Boulder, CO 80309 USA

[13] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA

[14] IIASA, Laxenburg, Austria

[15] Max Planck Inst Chem, Mainz, Germany

[16] UVSQ, CNRS, Lab CEA, LSCE,IPSL, Gif Sur Yvette, France

[17] Royal Netherlands Meteorol Inst, KNMI, De Bilt, Netherlands

[18] CIEMAT, Madrid, Spain

[19] Univ Tromso, Fac Sci & Technol, Tromso, Norway

来源：

GEOSCIENTIFIC MODEL DEVELOPMENT | 2017年 / 10卷 / 09期

关键词：

ATMOSPHERIC BOUNDARY-LAYER; SECONDARY ORGANIC AEROSOL; INTEGRATED FORECAST SYSTEM; CHEMICAL-TRANSPORT MODEL; GASEOUS DRY DEPOSITION; MASS FLUX FRAMEWORK; LARGE-SCALE MODELS; SEA-SALT; CUMULUS PARAMETERIZATION; RADIATIVE-TRANSFER;

D O I：

10.5194/gmd-10-3255-2017

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

The EURODELTA-Trends multi-model chemistry-transport experiment has been designed to facilitate a better understanding of the evolution of air pollution and its drivers for the period 1990-2010 in Europe. The main objective of the experiment is to assess the efficiency of air pollutant emissions mitigation measures in improving regional-scale air quality. The present paper formulates the main scientific questions and policy issues being addressed by the EURODELTA-Trends modelling experiment with an emphasis on how the design and technical features of the modelling experiment answer these questions. The experiment is designed in three tiers, with increasing degrees of computational demand in order to facilitate the participation of as many modelling teams as possible. The basic experiment consists of simulations for the years 1990, 2000, and 2010. Sensitivity analysis for the same three years using various combinations of (i) anthropogenic emissions, (ii) chemical boundary conditions, and (iii) meteorology complements it. The most demanding tier consists of two complete time series from 1990 to 2010, simulated using either time-varying emissions for corresponding years or constant emissions. Eight chemistry-transport models have contributed with calculation results to at least one experiment tier, and five models have - to date - completed the full set of simulations (and 21-year trend calculations have been performed by four models). The modelling results are publicly available for further use by the scientific community. The main expected outcomes are (i) an evaluation of the models' performances for the three reference years, (ii) an evaluation of the skill of the models in capturing observed air pollution trends for the 1990-2010 time period, (iii) attribution analyses of the respective role of driving factors (e.g. emissions, boundary conditions, meteorology), (iv) a dataset based on a multi-model approach, to provide more robust model results for use in impact studies related to human health, ecosystem, and radiative forcing.

引用

页码：3255 / 3276

页数：22

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