Articles | Volume 10, issue 11
https://doi.org/10.5194/gmd-10-4105-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-4105-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
13 Nov 2017
Development and technical paper |
| 13 Nov 2017
A prognostic pollen emissions model for climate models (PECM1.0)
Matthew C. Wozniak
CORRESPONDING AUTHOR
Climate and Space Sciences and Engineering, University of Michigan,
Ann Arbor, MI 48109, USA
Allison L. Steiner
Climate and Space Sciences and Engineering, University of Michigan,
Ann Arbor, MI 48109, USA
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Total article views: 3,259 (including HTML, PDF, and XML)
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Cited
19 citations as recorded by crossref.
- Short-term exposures to atmospheric evergreen, deciduous, grass, and ragweed aeroallergens and the risk of suicide in Ohio, 2007–2015: Exploring disparities by age, gender, and education level R. Bergmans et al. 10.1016/j.envres.2021.111450
- Measurement report: Characterization of the vertical distribution of airborne <i>Pinus</i> pollen in the atmosphere with lidar-derived profiles – a modeling case study in the region of Barcelona, NE Spain M. Sicard et al. 10.5194/acp-21-17807-2021
- Modeling past and future spatiotemporal distributions of airborne allergenic pollen across the contiguous United States X. Ren et al. 10.3389/falgy.2022.959594
- From trees to rain: enhancement of cloud glaciation and precipitation by pollen J. Kretzschmar et al. 10.1088/1748-9326/ad747a
- Simulating the Transport and Rupture of Pollen in the Atmosphere T. Subba et al. 10.1029/2022MS003329
- Characterisation and source identification of biofluorescent aerosol emissions over winter and summer periods in the United Kingdom E. Forde et al. 10.5194/acp-19-1665-2019
- Real-time 7-day forecast of pollen counts using a deep convolutional neural network Y. Lops et al. 10.1007/s00521-019-04665-0
- High resolution modeling of Quercus pollen with an Eulerian modeling system: A case study in Greece S. Kontos et al. 10.1016/j.atmosenv.2021.118816
- Ice nucleating behavior of different tree pollen in the immersion mode E. Gute & J. Abbatt 10.1016/j.atmosenv.2020.117488
- Estimation of Possible Primary Biological Particle Emissions and Rupture Events at the Southern Great Plains ARM Site T. Subba et al. 10.1029/2021JD034679
- Pollen effects in a changing climate: Ragweed pollen exposure and sleepiness in immunotherapy patients of a Southeastern Michigan allergy clinic P. Larson et al. 10.1007/s00484-024-02737-y
- Development and evaluation of pollen source methodologies for the Victorian Grass Pollen Emissions Module VGPEM1.0 K. Emmerson et al. 10.5194/gmd-12-2195-2019
- Ice‐Nucleating Particles That Impact Clouds and Climate: Observational and Modeling Research Needs S. Burrows et al. 10.1029/2021RG000745
- Behaviour of Quercus pollen in the air, determination of its sources and transport through the atmosphere of Mexico City and conurbated areas M. Calderón-Ezquerro et al. 10.1007/s00484-018-1572-9
- Drivers of the fungal spore bioaerosol budget: observational analysis and global modeling R. Janssen et al. 10.5194/acp-21-4381-2021
- Role of the Terrestrial Biosphere in Atmospheric Chemistry and Climate A. Steiner 10.1021/acs.accounts.0c00116
- Modeling airborne pollen concentrations at an urban scale with pollen release from individual trees D. Katz et al. 10.1007/s10453-023-09784-9
- Projected climate-driven changes in pollen emission season length and magnitude over the continental United States Y. Zhang & A. Steiner 10.1038/s41467-022-28764-0
- Pollen classification using a single particle fluorescence spectroscopy technique B. Swanson et al. 10.1080/02786826.2022.2142510
19 citations as recorded by crossref.
- Short-term exposures to atmospheric evergreen, deciduous, grass, and ragweed aeroallergens and the risk of suicide in Ohio, 2007–2015: Exploring disparities by age, gender, and education level R. Bergmans et al. 10.1016/j.envres.2021.111450
- Measurement report: Characterization of the vertical distribution of airborne <i>Pinus</i> pollen in the atmosphere with lidar-derived profiles – a modeling case study in the region of Barcelona, NE Spain M. Sicard et al. 10.5194/acp-21-17807-2021
- Modeling past and future spatiotemporal distributions of airborne allergenic pollen across the contiguous United States X. Ren et al. 10.3389/falgy.2022.959594
- From trees to rain: enhancement of cloud glaciation and precipitation by pollen J. Kretzschmar et al. 10.1088/1748-9326/ad747a
- Simulating the Transport and Rupture of Pollen in the Atmosphere T. Subba et al. 10.1029/2022MS003329
- Characterisation and source identification of biofluorescent aerosol emissions over winter and summer periods in the United Kingdom E. Forde et al. 10.5194/acp-19-1665-2019
- Real-time 7-day forecast of pollen counts using a deep convolutional neural network Y. Lops et al. 10.1007/s00521-019-04665-0
- High resolution modeling of Quercus pollen with an Eulerian modeling system: A case study in Greece S. Kontos et al. 10.1016/j.atmosenv.2021.118816
- Ice nucleating behavior of different tree pollen in the immersion mode E. Gute & J. Abbatt 10.1016/j.atmosenv.2020.117488
- Estimation of Possible Primary Biological Particle Emissions and Rupture Events at the Southern Great Plains ARM Site T. Subba et al. 10.1029/2021JD034679
- Pollen effects in a changing climate: Ragweed pollen exposure and sleepiness in immunotherapy patients of a Southeastern Michigan allergy clinic P. Larson et al. 10.1007/s00484-024-02737-y
- Development and evaluation of pollen source methodologies for the Victorian Grass Pollen Emissions Module VGPEM1.0 K. Emmerson et al. 10.5194/gmd-12-2195-2019
- Ice‐Nucleating Particles That Impact Clouds and Climate: Observational and Modeling Research Needs S. Burrows et al. 10.1029/2021RG000745
- Behaviour of Quercus pollen in the air, determination of its sources and transport through the atmosphere of Mexico City and conurbated areas M. Calderón-Ezquerro et al. 10.1007/s00484-018-1572-9
- Drivers of the fungal spore bioaerosol budget: observational analysis and global modeling R. Janssen et al. 10.5194/acp-21-4381-2021
- Role of the Terrestrial Biosphere in Atmospheric Chemistry and Climate A. Steiner 10.1021/acs.accounts.0c00116
- Modeling airborne pollen concentrations at an urban scale with pollen release from individual trees D. Katz et al. 10.1007/s10453-023-09784-9
- Projected climate-driven changes in pollen emission season length and magnitude over the continental United States Y. Zhang & A. Steiner 10.1038/s41467-022-28764-0
- Pollen classification using a single particle fluorescence spectroscopy technique B. Swanson et al. 10.1080/02786826.2022.2142510
Latest update: 20 Nov 2024
Short summary
A new parameterization, Pollen Emissions for Climate Models (PECM), has been developed for use in climate models. New developments include (1) a new climate-sensitive, observation-based phenological model, (2) inclusion of the 13 highest-pollinating taxa in the United States, and (3) an option to compute pollen emissions by plant functional type (PFT). It can be used to address topics like impacts of climate change (e.g., on allergen exposure, on plant ecology) or pollen as an atmospheric aerosol.
A new parameterization, Pollen Emissions for Climate Models (PECM), has been developed for use...
