Articles | Volume 11, issue 6
https://doi.org/10.5194/bg-11-1461-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-11-1461-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Mar 2014
Research article |
| 19 Mar 2014
Development of a regional-scale pollen emission and transport modeling framework for investigating the impact of climate change on allergic airway disease
R. Zhang
Laboratory for Atmospheric Research, Department of Civil and Environmental Engineering, Washington State University, Pullman, WA, USA
now at: Rice University, Department of Civil and Environmental Engineering, Houston, TX, USA
T. Duhl
National Center for Atmospheric Research, Boulder, CO, USA
M. T. Salam
University of Southern California, Los Angeles, CA, USA
J. M. House
Department of Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
R. C. Flagan
Department of Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
E. L. Avol
University of Southern California, Los Angeles, CA, USA
F. D. Gilliland
University of Southern California, Los Angeles, CA, USA
A. Guenther
National Center for Atmospheric Research, Boulder, CO, USA
S. H. Chung
Laboratory for Atmospheric Research, Department of Civil and Environmental Engineering, Washington State University, Pullman, WA, USA
B. K. Lamb
Laboratory for Atmospheric Research, Department of Civil and Environmental Engineering, Washington State University, Pullman, WA, USA
T. M. VanReken
Laboratory for Atmospheric Research, Department of Civil and Environmental Engineering, Washington State University, Pullman, WA, USA
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49 citations as recorded by crossref.
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- The dynamics of the Corylus, Alnus, and Betula pollen seasons in the context of climate change (SW Poland) M. Malkiewicz et al. 10.1016/j.scitotenv.2016.08.103
- A prognostic pollen emissions model for climate models (PECM1.0) M. Wozniak & A. Steiner 10.5194/gmd-10-4105-2017
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- Airborne Microalgae: Insights, Opportunities, and Challenges S. Tesson et al. 10.1128/AEM.03333-15
- 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
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- Modelling of pollen dispersion in the atmosphere: evaluation with a continuous 1β+1δ lidar M. Sicard et al. 10.1051/epjconf/201817605006
- Spatial and temporal variations in the distribution of birch trees and airborne Betula pollen in Ireland J. Maya-Manzano et al. 10.1016/j.agrformet.2020.108298
- Development of a Model for the Dispersal of Salts from Recretohalophytes A. Litalien et al. 10.1021/acsearthspacechem.0c00080
- Aerobiological modelling II: A review of long-range transport models A. Vélez-Pereira et al. 10.1016/j.scitotenv.2022.157351
- Environmental DNA assessment of airborne plant and fungal seasonal diversity E. Banchi et al. 10.1016/j.scitotenv.2020.140249
- Modelling and inference of maize pollen emission rate with a Lagrangian dispersal model using Monte Carlo method O. Souhar et al. 10.1017/S0021859620000763
- Quality of the Governing Temperature Variables in WRF in relation to Simulation of Primary Biological Aerosols C. Skjøth et al. 10.1155/2015/412658
- When Do Subpollen Particles Become Relevant for Ice Nucleation Processes in Clouds? S. Werchner et al. 10.1029/2021JD036340
- 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
- Incorporation of pollen data in source maps is vital for pollen dispersion models A. Kurganskiy et al. 10.5194/acp-20-2099-2020
- Application of the HYSPLIT model for birch pollen modelling in Poland D. Bilińska-Prałat et al. 10.1007/s10453-021-09737-0
- Lidar-Derived Tree Crown Parameters: Are They New Variables Explaining Local Birch (Betula sp.) Pollen Concentrations? P. Bogawski et al. 10.3390/f10121154
- Medium-Term Increases in Ambient Grass Pollen Between 1994-1999 and 2016-2020 in a Subtropical Climate Zone B. Addison-Smith et al. 10.3389/falgy.2021.705313
- Pollen Dispersion and Deposition in Real-World Urban Settings: A Computational Fluid Dynamic Study P. Roy et al. 10.1007/s41810-023-00198-1
- Trans-disciplinary research in synthesis of grass pollen aerobiology and its importance for respiratory health in Australasia J. Davies et al. 10.1016/j.scitotenv.2015.04.001
- Recent developments in monitoring and modelling airborne pollen, a review J. Maya-Manzano et al. 10.1080/00173134.2020.1769176
- Numerical ragweed pollen forecasts using different source maps: a comparison for France K. Zink et al. 10.1007/s00484-016-1188-x
- Spatial Variation of Airborne Pollen Concentrations Locally around Brussels City, Belgium, during a Field Campaign in 2022–2023, Using the Automatic Sensor Beenose J. Renard et al. 10.3390/s24123731
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- 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
- Modeling past and future spatiotemporal distributions of airborne allergenic pollen across the contiguous United States X. Ren et al. 10.3389/falgy.2022.959594
- Air Pollution and Climate Change Effects on Allergies in the Anthropocene: Abundance, Interaction, and Modification of Allergens and Adjuvants K. Reinmuth-Selzle et al. 10.1021/acs.est.6b04908
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- Influence of rain on the abundance of bioaerosols in fine and coarse particles C. Rathnayake et al. 10.5194/acp-17-2459-2017
- Does airborne pollen influence COVID-19 outbreak? K. Ravindra et al. 10.1016/j.scs.2021.102887
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- A comparative study of vineyard phenology and pollen metrics extracted from airborne pollen time series M. Cunha et al. 10.1007/s10453-014-9345-3
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