Bacteria in the ECHAM5-HAM global climate model

Sesartić, Ana; Lohmann, Ulrike; Storelvmo, Trude

doi:10.5194/acp-12-8645-2012

Cited by 71 publications

(56 citation statements)

References 101 publications

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“…In autumn the relative amount of biomass in PM was estimated to be around ∼ 10 % (Supplement). Modelling studies have suggested that microorganisms may play an important role in the hydrological cycle in the boreal region (Sesartic et al, 2012(Sesartic et al, , 2013. However, the magnitude of upward lifting of microorganisms remains to be solved, and thus our results are preliminary in nature and need to be confirmed.…”

Section: Discussionmentioning

confidence: 60%

Characterization of free amino acids, bacteria and fungi in size-segregated atmospheric aerosols in boreal forest: seasonal patterns, abundances and size distributions

et al. 2017

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Abstract. Primary biological aerosol particles (PBAPs) are ubiquitous in the atmosphere and constitute ∼ 30 % of atmospheric aerosol particle mass in sizes > 1 µm. PBAP components, such as bacteria, fungi and pollen, may affect the climate by acting as cloud-active particles, thus having an effect on cloud and precipitation formation processes. In this study, size-segregated aerosol samples (< 1.0, 1-2.5, 2.5-10 and > 10 µm) were collected in boreal forest (Hyytiälä, Finland) during a 9-month period covering all seasons and analysed for free amino acids (FAAs), DNA concentration and microorganism (bacteria, Pseudomonas and fungi). Measurements were performed using tandem mass spectrometry, spectrophotometry and qPCR, respectively. Meteorological parameters and statistical analysis were used to study their atmospheric implication for results. Distinct annual patterns of PBAP components were observed, late spring and autumn being seasons of dominant occurrence. Elevated abundances of FAAs and bacteria were observed during the local pollen season, whereas fungi were observed at the highest level during autumn. Meteorological parameters such as air and soil temperature, radiation and rainfall were observed to possess a close relationship with PBAP abundances on an annual scale.

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Section: Discussionmentioning

confidence: 60%

Characterization of free amino acids, bacteria and fungi in size-segregated atmospheric aerosols in boreal forest: seasonal patterns, abundances and size distributions

et al. 2017

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“…Previous attempts to understand the distribution of PBAs in the atmosphere tended to simplify the surface-atmosphere transport both by deriving emissions from airborne concentrations (Burrows et al, 2009a) and by making ecosystem-wide assumptions about emissions (Bur-rows et al, 2009a;Hoose et al, 2010;Sesartic et al, 2012). Airborne concentrations are, nevertheless, variable, being the combined results of both emissive and depositional processes as well as atmospheric transport (Wilkinson et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

“…One of the first improvements that would benefit the PLAnET model would be validation on microbial fluxes that are not based solely on cultivated microorganisms. The ratio of culturable microorganisms to total microorganisms may range from 0.01 to 75 % and is generally below 10 % (see Burrows et al, 2009b, and references therein), meaning that PLAnET output needs scaling to be compared with the work, for example, of Burrows et al (2009a), Sesartic et al (2012) and Sesartic et al (2013). A simple comparison can be made between PLAnET simulated fluxes and fluxes reported in Burrows et al (2009a) using the scaling factor for the ratio of culturable to total bacteria for grasslands (302, Burrows et al, 2009b).…”

Section: Discussionmentioning

confidence: 99%

“…Population dynamics in the phyllosphere and atmospheric turbulence were not accounted for. In their attempt to simulate global impacts of microbial particles on the water cycle, Hoose et al (2010) and Sesartic et al (2012) used fixed values of bacterial emission fluxes from different ecosystems, while Heald and Spracklen (2009) used mannitol as a proxy to evaluate fungal contributions to PBAs. Burrows et al (2009a) modeled global emissions using data about airborne concentrations of microbes reported in the literature and derived fluxes from such proxies.…”

Section: Introductionmentioning

confidence: 99%

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Measurements and modeling of surface–atmosphere exchange of microorganisms in Mediterranean grassland

et al. 2017

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Abstract. Microbial aerosols (mainly composed of bacterial and fungal cells) may constitute up to 74 % of the total aerosol volume. These biological aerosols are not only relevant to the dispersion of pathogens, but they also have geochemical implications. Some bacteria and fungi may, in fact, serve as cloud condensation or ice nuclei, potentially affecting cloud formation and precipitation and are active at higher temperatures compared to their inorganic counterparts. Simulations of the impact of microbial aerosols on climate are still hindered by the lack of information regarding their emissions from ground sources. This present work tackles this knowledge gap by (i) applying a rigorous micrometeorological approach to the estimation of microbial net fluxes above a Mediterranean grassland and (ii) developing a deterministic model (the PLAnET model) to estimate these emissions on the basis of a few meteorological parameters that are easy to obtain. The grassland is characterized by an abundance of positive net microbial fluxes and the model proves to be a promising tool capable of capturing the day-to-day variability in microbial fluxes with a relatively small bias and sufficient accuracy. PLAnET is still in its infancy and will benefit from future campaigns extending the available training dataset as well as the inclusion of ever more complex and critical phenomena triggering the emission of microbial aerosol (such as rainfall). The model itself is also adaptable as an emission module for dispersion and chemical transport models, allowing further exploration of the impact of landcover-driven microbial aerosols on the atmosphere and climate.

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“…The importance of other aerosols (biological particles, black carbon, organic carbon, or crystalline ammonium sulfate) acting as IN is still a matter of debate. While biological particles have been found to nucleate ice at the warmest temperatures, their concentrations in the atmosphere seem to be too low to have a global impact (Hoose et al, 2010a, b;Sesartic et al, 2012). Black carbon and carbonaceous particles, on the other hand, are much more numerous, but it is not yet clear if they nucleate ice well above the homogeneous freezing temperature.…”

Section: Parameterisation Of Ice Nucleationmentioning

confidence: 99%

Online coupled regional meteorology chemistry models in Europe: current status and prospects

et al. 2014

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Published by Copernicus Publications on behalf of the European Geosciences Union. A. Baklanov et al.: Online coupled regional meteorology chemistry models in EuropeAbstract. Online coupled mesoscale meteorology atmospheric chemistry models have undergone a rapid evolution in recent years. Although mainly developed by the air quality modelling community, these models are also of interest for numerical weather prediction and regional climate modelling as they can consider not only the effects of meteorology on air quality, but also the potentially important effects of atmospheric composition on weather. Two ways of online coupling can be distinguished: online integrated and online access coupling. Online integrated models simulate meteorology and chemistry over the same grid in one model using one main time step for integration. Online access models use independent meteorology and chemistry modules that might even have different grids, but exchange meteorology and chemistry data on a regular and frequent basis. This article offers a comprehensive review of the current research status of online coupled meteorology and atmospheric chemistry modelling within Europe. Eighteen regional online coupled models developed or being used in Europe are described and compared. Topics discussed include a survey of processes relevant to the interactions between atmospheric physics, dynamics and composition; a brief overview of existing online mesoscale models and European model developments; an analysis on how feedback processes are treated in these models; numerical issues associated with coupled models; and several case studies and model performance evaluation methods. Finally, this article highlights selected scientific issues and emerging challenges that require proper consideration to improve the reliability and usability of these models for the three scientific communities: air quality, numerical meteorology modelling (including weather prediction) and climate modelling. This review will be of particular interest to model developers and users in all three fields as it presents a synthesis of scientific progress and provides recommendations for future research directions and priorities in the development, application and evaluation of online coupled models.

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Bacteria in the ECHAM5-HAM global climate model

Cited by 71 publications

References 101 publications

Characterization of free amino acids, bacteria and fungi in size-segregated atmospheric aerosols in boreal forest: seasonal patterns, abundances and size distributions

Characterization of free amino acids, bacteria and fungi in size-segregated atmospheric aerosols in boreal forest: seasonal patterns, abundances and size distributions

Measurements and modeling of surface–atmosphere exchange of microorganisms in Mediterranean grassland

Online coupled regional meteorology chemistry models in Europe: current status and prospects

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