5 research outputs found

    Assessing the role of anthropogenic and biogenic sources on PM₁ over southern West Africa using aircraft measurements

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    As part of the Dynamics-Aerosol-Chemistry-Cloud Interactions in West Africa (DACCIWA) project, an airborne campaign was designed to measure a large range of atmospheric constituents, focusing on the effect of anthropogenic emissions on regional climate. The presented study details results of the French ATR42 research aircraft, which aimed to characterize gas-phase, aerosol and cloud properties in the region during the field campaign carried out in June/July 2016 in combination with the German Falcon 20 and the British Twin Otter aircraft. The aircraft flight paths covered large areas of Benin, Togo, Ghana and Côte d\u27Ivoire, focusing on emissions from large urban conurbations such as Abidjan, Accra and Lomé, as well as remote continental areas and the Gulf of Guinea. This paper focuses on aerosol particle measurements within the boundary layer (<  2000 m), in particular their sources and chemical composition in view of the complex mix of both biogenic and anthropogenic emissions, based on measurements from a compact time-of-flight aerosol mass spectrometer (C-ToF-AMS) and ancillary instrumentation. Background concentrations (i.e. outside urban plumes) observed from the ATR42 indicate a fairly polluted region during the time of the campaign, with average concentrations of carbon monoxide of 131 ppb, ozone of 32 ppb, and aerosol particle number concentration ( >  15 nm) of 735 cm−3 stp. Regarding submicron aerosol composition (considering non-refractory species and black carbon, BC), organic aerosol (OA) is the most abundant species contributing 53 %, followed by SO4 (27 %), NH4 (11 %), BC (6 %), NO3 (2 %) and minor contribution of Cl (<  0.5 %). Average background PM1 in the region was 5.9 µg m−3 stp. During measurements of urban pollution plumes, mainly focusing on the outflow of Abidjan, Accra and Lomé, pollutants are significantly enhanced (e.g. average concentration of CO of 176 ppb, and aerosol particle number concentration of 6500 cm−3 stp), as well as PM1 concentration (11.9 µg m−3 stp). Two classes of organic aerosols were estimated based on C-ToF-AMS: particulate organic nitrates (pONs) and isoprene epoxydiols secondary organic aerosols (IEPOX–SOA). Both classes are usually associated with the formation of particulate matter through complex interactions of anthropogenic and biogenic sources. During DACCIWA, pONs have a fairly small contribution to OA (around 5 %) and are more associated with long-range transport from central Africa than local formation. Conversely, IEPOX–SOA provides a significant contribution to OA (around 24 and 28 % under background and in-plume conditions). Furthermore, the fractional contribution of IEPOX–SOA is largely unaffected by changes in the aerosol composition (particularly the SO4 concentration), which suggests that IEPOX–SOA concentration is mainly driven by pre-existing aerosol surface, instead of aerosol chemical properties. At times of large in-plume SO4 enhancements (above 5 µg m−3), the fractional contribution of IEPOX–SOA to OA increases above 50 %, suggesting only then a change in the IEPOX–SOA-controlling mechanism. It is important to note that IEPOX–SOA constitutes a lower limit to the contribution of biogenic OA, given that other processes (e.g. non-IEPOX isoprene, monoterpene SOA) are likely in the region. Given the significant contribution to aerosol concentration, it is crucial that such complex biogenic–anthropogenic interactions are taken into account in both present-day and future scenario models of this fast-changing, highly sensitive region

    On the Rapid Weakening of Very Intense Tropical Cyclone Hellen (2014)

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    International audienceIn late March 2014, very intense Tropical Cyclone Hellen threatened the Comoros Archipelago and the Madagascan northwest coastline as it became one of the strongest tropical cyclones (TCs) ever observed over the Mozambique Channel. Its steep intensity changes were not well anticipated by operational forecasting models or by La Reunion regional specialized meteorological center forecasters. In particular, the record-setting rapid weakening over the open ocean was not supported by usual large-scale predictors. AROME, a new nonhydrostatic finescale model, is able to closely reproduce these wide intensity changes. When benchmarked against available observations, the model is also consistent in terms of inner-core structure, environmental features, track, and intensity. In the simulation, a northwesterly 400-hPa environmental wind is associated with unsaturated air, while the classic 200-850-hPa wind shear remains weak, and does not suggest a specifically unfavorable environment. The 400-hPa constraint affects the simulated storm through two pathways. Air with low equivalent potential temperature (u e) is flushed downward into the inflow layer in the upshear semicircle, triggering the decay of the storm. Then, direct erosion of the upper half of the warm core efficiently increases the surface pressure and also plays an instrumental role in the rapid weakening. When the storm gets closer to the Madagascan coastline, low-u e air can be directly advected within the inflow layer. Results illustrate on a real TC case the recently proposed paradigm for TC intensity modification under vertical wind shear and highlight the need for innovative tools to assess the impact of wind shear at all vertical levels

    Analyse énergétique des systèmes de grandes cultures biologiques : Impact du niveau d’intensification

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    L’étude fait apparaître une variabilité importante des principaux paramètres de l’analyse énergétique appliquée à 44 successions culturales biologiques de quatre années chacune. Le niveau d’intensification des systèmes, appréhendé en termes de recours ou non à la fertilisation organique sur céréales et à l’irrigation sur cultures d’été (légumineuses à graines principalement) explique en grande partie cette variabilité. La consommation énergétique moyenne varie de 5 000 à 12 270 MJ/ha/an selon le niveau d’intensification. La production énergétique varie de 35 500 à 43 950 MJ/ha/an.Consommation et production énergétiques variant dans le même sens avec le degré d’intensification, le gain énergétique est stable avec une valeur moyenne de 29 300 MJ/ha/an. L’efficience énergétique diminue de 7,1 MJ/MJ pour les successions culturales non fertilisées et non irriguées, à 3,5 MJ/MJ pour les successions fertilisées et irriguées, où le soja et la féverole tiennent une place importante

    Analyse énergétique des systèmes de grandes cultures biologiques : Impact du niveau d’intensification

    No full text
    L’étude fait apparaître une variabilité importante des principaux paramètres de l’analyse énergétique appliquée à 44 successions culturales biologiques de quatre années chacune. Le niveau d’intensification des systèmes, appréhendé en termes de recours ou non à la fertilisation organique sur céréales et à l’irrigation sur cultures d’été (légumineuses à graines principalement) explique en grande partie cette variabilité. La consommation énergétique moyenne varie de 5 000 à 12 270 MJ/ha/an selon le niveau d’intensification. La production énergétique varie de 35 500 à 43 950 MJ/ha/an.Consommation et production énergétiques variant dans le même sens avec le degré d’intensification, le gain énergétique est stable avec une valeur moyenne de 29 300 MJ/ha/an. L’efficience énergétique diminue de 7,1 MJ/MJ pour les successions culturales non fertilisées et non irriguées, à 3,5 MJ/MJ pour les successions fertilisées et irriguées, où le soja et la féverole tiennent une place importante

    Impact of long-range transport pollution on aerosol properties over West Africa: observations during the DACCIWA airborne campaign

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    International audienceSouthern West Africa (SWA) is a region highly vulnerable to climate change. Emissions of anthropogenic pollution have increased substantially over the past decades in the region and are projected to keep increasing. The region is also strongly impacted by important natural pollution from distant locations. Biomass burning mainly from vegetation fires in Central Africa and mineral dust from the Saharan and Sahel-Sudan regions are advected by winds to the SWA region especially in summer. Both biomass burning and mineral dust aerosols scatter and absorb solar radiation and are able to significantly modify the regional radiative budget. Presently, the potential radiative impact of dust and biomass burning particles on SWA is unclear due to inadequate data information on the aerosols properties and vertical distribution. In the framework of the Dynamics-Aerosol-Chemistry-Cloud Interactions in West Africa (DACCIWA) project, an unprecedented field campaign took place in summer 2016 in West Africa. The ATR-42 research aircraft operated by SAFIRE performed twenty flights to sample the local air pollution from maritime traffic and coastal megacities, as well as regional pollution from biomass burning and desert dust. The aircraft was equipped with state of the art in situ instrumentation to measure the aerosol optical properties (CAPS, nephelometer, PSAP), the aerosol size distribution (SMPS, GRIMM, USHAS, PCASP, FSSP) and the aerosol chemical composition (SP2, AMS). A mini backscattered lidar system provided additional measurements of the aerosol vertical structure and the aerosol optical properties such as the particulate depolarization ratio. The CHIMERE chemistry and transport model has been used to characterize the source area and the long-range transport of dust and biomass burning plumes. Here, we investigate the aerosol microphysical, chemical and optical properties of biomass burning and dust aerosols transported in SWA. In particular the following questions will be addressed: (i) what are the differences in the aerosol optical properties and vertical distribution in SWA during intense biomass burning and dust events ? (ii) what is the range of mass extinction efficiencies and single scattering albedo for these events and what explains their variability ? (iii) what is the range in aerosol size distribution in biomass burning and dust layers and how does this vary with plume age
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