Isoprene emissions modelling for West Africa: MEGAN model evaluation and sensitivity analysis

被引:17
|
作者
Ferreira, J. [1 ,2 ,3 ]
Reeves, C. E. [1 ]
Murphy, J. G. [4 ]
Garcia-Carreras, L. [5 ]
Parker, D. J. [5 ]
Oram, D. E. [1 ]
机构
[1] Univ E Anglia, Sch Environm Sci, Norwich NR4 7TJ, Norfolk, England
[2] Univ Aveiro, CESAM, P-3810193 Aveiro, Portugal
[3] Univ Aveiro, Dept Environm & Planning, P-3810193 Aveiro, Portugal
[4] Univ Toronto, Dept Chem, Toronto, ON M5S 1A1, Canada
[5] Univ Leeds, Inst Climate & Atmospher Sci, Leeds LS2 9JT, W Yorkshire, England
基金
英国自然环境研究理事会;
关键词
BIOGENIC HYDROCARBON EMISSIONS; ORGANIC-COMPOUND EMISSIONS; TROPOSPHERIC OZONE; EQUATORIAL AFRICA; OXIDANTS EXPRESSO; REGIONAL SOURCES; ECMWF ANALYSES; FOREST; FLUX; SIMULATION;
D O I
10.5194/acp-10-8453-2010
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Isoprene emissions are the largest source of reactive carbon to the atmosphere, with the tropics being a major source region. These natural emissions are expected to change with changing climate and human impact on land use. As part of the African Monsoon Multidisciplinary Analyses (AMMA) project the Model of Emissions of Gases and Aerosols from Nature (MEGAN) has been used to estimate the spatial and temporal distribution of isoprene emissions over the West African region. During the AMMA field campaign, carried out in July and August 2006, isoprene mixing ratios were measured on board the FAAM BAe-146 aircraft. These data have been used to make a qualitative evaluation of the model performance. MEGAN was firstly applied to a large area covering much of West Africa from the Gulf of Guinea in the south to the desert in the north and was able to capture the large scale spatial distribution of isoprene emissions as inferred from the observed isoprene mixing ratios. In particular the model captures the transition from the forested area in the south to the bare soils in the north, but some discrepancies have been identified over the bare soil, mainly due to the emission factors used. Sensitivity analyses were performed to assess the model response to changes in driving parameters, namely Leaf Area Index (LAI), Emission Factors (EF), temperature and solar radiation. A high resolution simulation was made of a limited area south of Niamey, Niger, where the higher concentrations of isoprene were observed. This is used to evaluate the model's ability to simulate smaller scale spatial features and to examine the influence of the driving parameters on an hourly basis through a case study of a flight on 17 August 2006. This study highlights the complex interactions between land surface processes and the meteorological dynamics and chemical composition of the PBL. This has implications for quantifying the impact of biogenic emissions on the atmospheric composition over West Africa and any changes that may occur with changing climate.
引用
收藏
页码:8453 / 8467
页数:15
相关论文
共 50 条
  • [41] An evaluation of coastal resilience policies in Anglophone West Africa through a regional comparative analysis
    Backler, Scott
    Davies-Vollum, K. Sian
    Raha, Debadayita
    MARINE POLICY, 2025, 176
  • [42] Regional dynamical downscaling over West Africa: model evaluation and comparison of wet and dry years
    Paeth, H
    Born, K
    Podzun, R
    Jacob, D
    METEOROLOGISCHE ZEITSCHRIFT, 2005, 14 (03) : 349 - 367
  • [43] Sensitivity study of the regional climate model RegCM4 to different convective schemes over West Africa
    Kone, Brahima
    Diedhiou, Arona
    Toure, N'datchoh Evelyne
    Sylla, Mouhamadou Bamba
    Giorgi, Filippo
    Anquetin, Sandrine
    Bamba, Adama
    Diawara, Adama
    Kobea, Arsene Toka
    EARTH SYSTEM DYNAMICS, 2018, 9 (04) : 1261 - 1278
  • [44] Model emulation and moment-independent sensitivity analysis: An application to environmental modelling
    Borgonovo, E.
    Castaings, W.
    Tarantola, S.
    ENVIRONMENTAL MODELLING & SOFTWARE, 2012, 34 : 105 - 115
  • [45] Modelling of wine vinegar acetification bioreactor: Global sensitivity analysis and simplification of the model
    Jimenez-Hornero, Jorge E.
    Duenas, Ines Ma Santos
    Garcia-Garcia, Isidoro
    JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY, 2022, 111 : 308 - 323
  • [46] Validation and sensitivity analysis of a two zone Diesel engine model for combustion and emissions prediction
    Rakopoulos, CD
    Rakopoulos, DC
    Giakoumis, EG
    Kyritsis, DC
    ENERGY CONVERSION AND MANAGEMENT, 2004, 45 (9-10) : 1471 - 1495
  • [47] Sensitivity analysis of permeable pavement hydrological modelling in the Storm Water Management Model
    Madrazo-Uribeetxebarria, Eneko
    Antin, Maddi Garmendia
    Berrondo, Jabier Almandoz
    Andres-Domenech, Ignacio
    JOURNAL OF HYDROLOGY, 2021, 600
  • [48] A prediction model of patient satisfaction: policy evaluation and sensitivity analysis
    Wang, Zi Yang
    Song, Jie
    Feng, Xing Lin
    FLEXIBLE SERVICES AND MANUFACTURING JOURNAL, 2023, 35 (02) : 455 - 486
  • [49] Evaluation and Sensitivity Analysis of an Ocean Model Response to Hurricane Ivan
    Halliwell, G. R., Jr.
    Shay, L. K.
    Brewster, J. K.
    Teague, W. J.
    MONTHLY WEATHER REVIEW, 2011, 139 (03) : 921 - 945
  • [50] A prediction model of patient satisfaction: policy evaluation and sensitivity analysis
    Zi Yang Wang
    Jie Song
    Xing Lin Feng
    Flexible Services and Manufacturing Journal, 2023, 35 : 455 - 486