Improvements of organic aerosol representations and their effects in large-scale atmospheric models

被引:12
|
作者
Tost, H. [1 ]
Pringle, K. J. [2 ]
机构
[1] Johannes Gutenberg Univ Mainz, Inst Atmospher Phys, Mainz, Germany
[2] Univ Leeds, Sch Earth & Environm, Leeds, W Yorkshire, England
关键词
SUBMODEL SYSTEM MESSY; VOLATILITY BASIS-SET; TECHNICAL NOTE; CONVECTION PARAMETERISATIONS; HYGROSCOPICITY PARAMETER; ISOPRENE OXIDATION; CHEMISTRY; EMISSIONS; CLOUD; CLIMATE;
D O I
10.5194/acp-12-8687-2012
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Organics dominate the composition of the atmospheric aerosol, especially in the fine mode, influencing some of its characteristics such as the hygroscopicity, which is of climatic relevance for the Earth system. This study targets an improvement in the description of organic aerosols suitable for large-scale modelling, making use of recent developments based on laboratory and field measurements. In addition to the organic mass and particle number distribution, the proposed method keeps track of the oxidation state of the aerosol based on the OH exposure time, describing some of its chemical characteristics. This study presents the application of the method in a global chemistry climate model, investigates the sensitivity to process formulations and emission assignments, provides a comparison with observations and analyses the climate impact. Even though the organic aerosol mass distribution is hardly affected by the new formulation, it shows impacts (regionally of the order of 10% to 20%) on parameters directly influencing climate via the direct and indirect aerosol effects. Furthermore, the global distribution of the organic O:C ratio is analysed in detail, leading to different regimes in the oxidation state: low O: C ratios over the tropical continents due to small OH concentrations caused by OH depletion in chemical reactions, and enhanced oxidation states over the tropical oceans based on less OH scavengers and at high altitudes due to longer atmospheric residence time. Due to the relation between O: C ratio and the aerosol hygroscopicity the ageing results in a more physically and chemically consistent description of aerosol water uptake by the organic aerosol. In comparison with observations reasonable agreement for the O: C ratio within the limits of a global model of the simulations is achieved.
引用
收藏
页码:8687 / 8709
页数:23
相关论文
共 50 条
  • [31] MODELS OF LARGE-SCALE STRUCTURE
    FRENK, CS
    PHYSICA SCRIPTA, 1991, T36 : 70 - 87
  • [32] EFFECTS OF LARGE-SCALE OROGRAPHY ON JANUARY ATMOSPHERIC CIRCULATION - A NUMERICAL EXPERIMENT
    TOKIOKA, T
    NODA, A
    JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 1986, 64 (06) : 819 - 840
  • [34] Scale Analysis for Large-Scale Tropical Atmospheric Dynamics
    Yano, Jun-Ichi
    Bonazzola, Marine
    JOURNAL OF THE ATMOSPHERIC SCIENCES, 2009, 66 (01) : 159 - 172
  • [35] The Influence of Atmospheric Cloud Radiative Effects on the Large-Scale Stratospheric Circulation
    Li, Ying
    Thompson, David W. J.
    Huang, Yi
    JOURNAL OF CLIMATE, 2017, 30 (15) : 5621 - 5635
  • [36] The effects of climate warming on large-scale atmospheric systems of the Northern Hemisphere
    Mahavarpour, Zahra
    Dastjerdi, Javad Khoshhal
    Masoudian, Seyed Abolfazl
    Nasresfahani, Mohammad Ali
    ATMOSFERA, 2024, 38 : 595 - 613
  • [37] Readable representations for large-scale bipartite graphs
    Sato, Shuji
    Misue, Kazuo
    Tanaka, Jiro
    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS, 2008, 5178 : 831 - 838
  • [38] DEVELOPMENT OF CHILDRENS REPRESENTATIONS OF LARGE-SCALE ENVIRONMENTS
    HAZEN, NL
    LOCKMAN, JJ
    PICK, HL
    CHILD DEVELOPMENT, 1978, 49 (03) : 623 - 636
  • [39] Representations for Large-Scale Sequence Data Mining: A Tale of Two Vector Space Models
    Raghavan, Vijay V.
    Benton, Ryan G.
    Johnsten, Tom
    Xie, Ying
    ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, 2013, 8170 : 15 - 25
  • [40] CONSIDERATIONS OF AND IMPROVEMENTS TO A LARGE-SCALE VEGETATION MONITORING.
    Gatlin, James A.
    Sullivan, Robert J.
    Tucker, Compton J.
    IEEE Transactions on Geoscience and Remote Sensing, 1983, GE-22 (06): : 496 - 502