Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-17-9677-2017 |
Regional effects of atmospheric aerosols on temperature: an evaluation of an ensemble of online coupled models | |
Baro, Rocio1,2; Palacios-Pena, Laura1; Baklanov, Alexander3; Balzarini, Alessandra4; Brunner, Dominik5; Forkel, Renate6; Hirtl, Marcus2; Honzak, Luka7; Perez, Juan Luis8; Pirovano, Guido3; San Jose, Roberto; Schroeder, Wolfram9; Werhahn, Johannes5; Wolke, Ralf9; Zabkar, Rahela10; Jimenez-Guerrero, Pedro1 | |
2017-08-11 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS
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ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2017 |
卷号 | 17期号:15 |
文章类型 | Article |
语种 | 英语 |
国家 | Spain; Austria; Switzerland; Italy; Germany; Slovenia |
英文摘要 | The climate effect of atmospheric aerosols is associated with their influence on the radiative budget of the Earth due to the direct aerosol-radiation interactions (ARIs) and indirect effects, resulting from aerosol-cloud-radiation interactions (ACIs). Online coupled meteorology-chemistry models permit the description of these effects on the basis of simulated atmospheric aerosol concentrations, although there is still some uncertainty associated with the use of these models. Thus, the objective of this work is to assess whether the inclusion of atmospheric aerosol radiative feedbacks of an ensemble of online coupled models improves the simulation results for maximum, mean and minimum temperature at 2m over Europe. The evaluated models outputs originate from EuMetChem COST Action ES1004 simulations for Europe, differing in the inclusion (or omission) of ARI and ACI in the various models. The cases studies cover two important atmospheric aerosol episodes over Europe in the year 2010: (i) a heat wave event and a forest fire episode (July-August 2010) and (ii) a more humid episode including a Saharan desert dust outbreak in October 2010. The simulation results are evaluated against observational data from the E-OBS gridded database. The results indicate that, although there is only a slight improvement in the bias of the simulation results when including the radiative feedbacks, the spatiotemporal variability and correlation coefficients are improved for the cases under study when atmospheric aerosol radiative effects are included. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000407502400001 |
WOS关键词 | CHEMISTRY-METEOROLOGY MODELS ; WRF-CHEM CONTRIBUTIONS ; WILD-LAND FIRES ; AIR-QUALITY ; PRECIPITATION EXTREMES ; CLIMATE-CHANGE ; FEEDBACKS ; IMPACT ; RESOLUTION ; POLLUTION |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/23859 |
专题 | 地球科学 |
作者单位 | 1.Univ Murcia, Dept Phys, Reg Campus Int Excellence Campus Mare Nostrum, Murcia, Spain; 2.ZAMG Zent Anstalt Meteorol & Geodynam, Div Data Methods Modelling, Sect Chem Weather Forecasts, Vienna, Austria; 3.World Meteorol Org, Geneva, Switzerland; 4.RSE, Milan, Italy; 5.Empa, Swiss Fed Labs Mat Sci & Technol, Lab Air Pollut Environm Technol, Dubendorf, Switzerland; 6.KIT, Inst Meteorol & Klimaforsch, Atmosphar Umweltforsch IMK IFU, Karlsruhe, Germany; 7.BO MO Doo, Ljubljana, Slovenia; 8.Tech Univ Madrid, Comp Sci Sch, Environm Software & Modelling Grp, Madrid, Spain; 9.Leibniz Inst Tropospher Res, Permoserstr, Leipzig, Germany; 10.Slovenian Environm Agcy, Ljubljana, Slovenia |
推荐引用方式 GB/T 7714 | Baro, Rocio,Palacios-Pena, Laura,Baklanov, Alexander,et al. Regional effects of atmospheric aerosols on temperature: an evaluation of an ensemble of online coupled models[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2017,17(15). |
APA | Baro, Rocio.,Palacios-Pena, Laura.,Baklanov, Alexander.,Balzarini, Alessandra.,Brunner, Dominik.,...&Jimenez-Guerrero, Pedro.(2017).Regional effects of atmospheric aerosols on temperature: an evaluation of an ensemble of online coupled models.ATMOSPHERIC CHEMISTRY AND PHYSICS,17(15). |
MLA | Baro, Rocio,et al."Regional effects of atmospheric aerosols on temperature: an evaluation of an ensemble of online coupled models".ATMOSPHERIC CHEMISTRY AND PHYSICS 17.15(2017). |
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