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Filtering by: Creator Steiner, Allison MI Remove constraint Creator: Steiner, Allison MI Creator Zhang, Yingxiao MI Remove constraint Creator: Zhang, Yingxiao MI Language English Remove constraint Language: English

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  • Simulated historical (1995-2014) and future (2081-2100) pollen emission using PECM2.0, Raw data

    work
    Creator:
    Zhang, Yingxiao MI and Steiner, Allison MI
    Description:
    Atmospheric aerosols are emitted from both natural and anthropogenic sources, and they play an important role in climate, impacting solar radiation and cloud formation. Compared to other types of aerosol particles, primary biological aerosol particles (PBAP, e.g., fungal spores, bacteria, pollen, virus, etc.) are relatively understudied. However, they are linked to adverse health effects and have the potential to influence ice nucleation at higher temperatures. Anemophilous (or wind-driven) pollen is one of the important PBAP, impacts cloud properties under some conditions, and triggers allergic diseases such as allergic rhinitis (also known as hay fever) and asthma. Because pollen emission is closely associated with environmental drivers, the climatic change could influence pollen emission and consequently the incidence of allergic disease. Using CMIP6 model data, our research projects continental-scale changes in pollen emissions at the end of the century, considering the effects of temperature, precipitation, CO2, and future vegetation distribution change. While prior studies have evaluated single types of pollen, we use a mechanistic model to comprehensively simulate total pollen across the United States from all sources. Similar to previous single-source pollen studies, our simulations suggest that pollen season duration will lengthen, and pollen emission will increase in the future, but in addition, we identify new synergies between different pollen types that can influence the maximum daily pollen. Our work highlights that the changes of overlap between pollen seasons of different vegetation taxa can magnify or mitigate the impacts of climate change, which addresses the importance to study all pollen emissions comprehensively. Given pollen is one of the most common triggers of seasonal allergies, our findings also provide information to evaluate global health conditions in the future. In this study, all of the pollen emission data are written in NetCDF files.
    Keyword:
    Pollen emission change, Climate change, Public health, Vegetation land cover change, and CO2 effects
    Citation to related publication:
    Zhang, Y. and Steiner, A. “Projected climate-driven changes in pollen emission season length and magnitude over the continental United States”, under review in Nature Communication, 2022. and yingxz. (2022). steiner-lab/pecm: PECM2.0 (2.0). Zenodo.  https://doi.org/10.5281/zenodo.5874177
    Discipline:
    Science

  • Simulated pollen emission using PECM, Averaged data

    work
    Creator:
    Zhang, Yingxiao MI and Steiner, Allison MI
    Description:
    In the dataset, "_T" means temperature effects only, without "_T" means temperature and precipitation effects are both considered, "_co2" means CO2 effects are considered on the based of temperature and precipitation effects.
    Keyword:
    pollen emission, climate change, and public health
    Discipline:
    Science