Articles | Volume 13, issue 9
https://doi.org/10.5194/bg-13-2769-2016
© Author(s) 2016. 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-13-2769-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 May 2016
Research article |
| 11 May 2016
Ragweed pollen production and dispersion modelling within a regional climate system, calibration and application over Europe
Li Liu
CORRESPONDING AUTHOR
Earth System Physics Section, the Abdus Salam
International Centre for Theoretical Physic, Trieste, Italy
Guizhou Key Laboratory of Mountainous Climate and
Resources, Guiyang, China
Fabien Solmon
CORRESPONDING AUTHOR
Earth System Physics Section, the Abdus Salam
International Centre for Theoretical Physic, Trieste, Italy
Robert Vautard
Laboratoire des Sciences du Climat et de l'Environnement,
IPSL, CEA-CNRS-UVSQ, UMR8212, Gif sur Yvette, France
Lynda Hamaoui-Laguel
Laboratoire des Sciences du Climat et de l'Environnement,
IPSL, CEA-CNRS-UVSQ, UMR8212, Gif sur Yvette, France
Institut National de l'Environnement Industriel et des
Risques, Parc technologique ALATA, Verneuil en Halatte,
France
Csaba Zsolt Torma
Earth System Physics Section, the Abdus Salam
International Centre for Theoretical Physic, Trieste, Italy
Filippo Giorgi
Earth System Physics Section, the Abdus Salam
International Centre for Theoretical Physic, Trieste, Italy
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Cited
21 citations as recorded by crossref.
- Spline interpolation as a way of mapping pollen emission sources V. Rodinkova et al. 10.1007/s10453-021-09707-6
- The regional climate–chemistry–ecology coupling model RegCM-Chem (v4.6)–YIBs (v1.0): development and application N. Xie et al. 10.5194/gmd-17-3259-2024
- Impact of Ragweed Pollen Daily Release Intensity on Long-Range Transport in Western Europe L. Menut et al. 10.3390/atmos12060693
- 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
- Feeding pollinators from weeds could promote pollen allergy. A simulation study N. Colbach et al. 10.1016/j.ecolind.2020.106635
- Comparative study of ragweed pollen seasons (2008–2017) in the air of Croatian tourist cities of Zagreb (continental area) and Zadar (Mediterranean area) A. Vucić et al. 10.1007/s10453-019-09596-w
- Temperature-related changes in airborne allergenic pollen abundance and seasonality across the northern hemisphere: a retrospective data analysis L. Ziska et al. 10.1016/S2542-5196(19)30015-4
- Recent developments in monitoring and modelling airborne pollen, a review J. Maya-Manzano et al. 10.1080/00173134.2020.1769176
- A prognostic pollen emissions model for climate models (PECM1.0) M. Wozniak & A. Steiner 10.5194/gmd-10-4105-2017
- The biomechanics of pollen release: new perspectives on the evolution of wind pollination in angiosperms D. Timerman & S. Barrett 10.1111/brv.12745
- A temporally and spatially explicit, data-driven estimation of airborne ragweed pollen concentrations across Europe L. Makra et al. 10.1016/j.scitotenv.2023.167095
- PannEx: The Pannonian Basin Experiment A. Ceglar et al. 10.1016/j.cliser.2018.05.002
- Pollen Rupture and Its Impact on Precipitation in Clean Continental Conditions M. Wozniak et al. 10.1029/2018GL077692
- The Fifth Generation Regional Climate Modeling System, RegCM5: Description and Illustrative Examples at Parameterized Convection and Convection‐Permitting Resolutions F. Giorgi et al. 10.1029/2022JD038199
- Regional variation in timing, duration, and production of flowers by allergenic ragweed K. Stinson et al. 10.1007/s11258-018-0860-0
- Real-time 7-day forecast of pollen counts using a deep convolutional neural network Y. Lops et al. 10.1007/s00521-019-04665-0
- Predicting abundances of invasive ragweed across Europe using a “top-down” approach C. Skjøth et al. 10.1016/j.scitotenv.2019.05.215
- The influence of source maps on SILAM performance in modeling ragweed pollen concentrations in the area of a major European source G. Mimić et al. 10.1007/s00484-021-02075-3
- Improved models, improved information? Exploring how climate change impacts pollen, influenza, and mold in Berlin and its surroundings G. Langendijk et al. 10.1016/j.uclim.2022.101159
- Spline interpolation as a way of mapping pollen emission sources V. Rodinkova et al. 10.1007/s10453-021-09707-6
- Efficiency of glyphosate and ammonium glufosinate against common ragweed (Ambrosia artemisiifolia L.) in vineyards A. Golubev et al. 10.31676/0235-2591-2019-4-45-50
19 citations as recorded by crossref.
- Spline interpolation as a way of mapping pollen emission sources V. Rodinkova et al. 10.1007/s10453-021-09707-6
- The regional climate–chemistry–ecology coupling model RegCM-Chem (v4.6)–YIBs (v1.0): development and application N. Xie et al. 10.5194/gmd-17-3259-2024
- Impact of Ragweed Pollen Daily Release Intensity on Long-Range Transport in Western Europe L. Menut et al. 10.3390/atmos12060693
- 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
- Feeding pollinators from weeds could promote pollen allergy. A simulation study N. Colbach et al. 10.1016/j.ecolind.2020.106635
- Comparative study of ragweed pollen seasons (2008–2017) in the air of Croatian tourist cities of Zagreb (continental area) and Zadar (Mediterranean area) A. Vucić et al. 10.1007/s10453-019-09596-w
- Temperature-related changes in airborne allergenic pollen abundance and seasonality across the northern hemisphere: a retrospective data analysis L. Ziska et al. 10.1016/S2542-5196(19)30015-4
- Recent developments in monitoring and modelling airborne pollen, a review J. Maya-Manzano et al. 10.1080/00173134.2020.1769176
- A prognostic pollen emissions model for climate models (PECM1.0) M. Wozniak & A. Steiner 10.5194/gmd-10-4105-2017
- The biomechanics of pollen release: new perspectives on the evolution of wind pollination in angiosperms D. Timerman & S. Barrett 10.1111/brv.12745
- A temporally and spatially explicit, data-driven estimation of airborne ragweed pollen concentrations across Europe L. Makra et al. 10.1016/j.scitotenv.2023.167095
- PannEx: The Pannonian Basin Experiment A. Ceglar et al. 10.1016/j.cliser.2018.05.002
- Pollen Rupture and Its Impact on Precipitation in Clean Continental Conditions M. Wozniak et al. 10.1029/2018GL077692
- The Fifth Generation Regional Climate Modeling System, RegCM5: Description and Illustrative Examples at Parameterized Convection and Convection‐Permitting Resolutions F. Giorgi et al. 10.1029/2022JD038199
- Regional variation in timing, duration, and production of flowers by allergenic ragweed K. Stinson et al. 10.1007/s11258-018-0860-0
- Real-time 7-day forecast of pollen counts using a deep convolutional neural network Y. Lops et al. 10.1007/s00521-019-04665-0
- Predicting abundances of invasive ragweed across Europe using a “top-down” approach C. Skjøth et al. 10.1016/j.scitotenv.2019.05.215
- The influence of source maps on SILAM performance in modeling ragweed pollen concentrations in the area of a major European source G. Mimić et al. 10.1007/s00484-021-02075-3
- Improved models, improved information? Exploring how climate change impacts pollen, influenza, and mold in Berlin and its surroundings G. Langendijk et al. 10.1016/j.uclim.2022.101159
2 citations as recorded by crossref.
Saved (preprint)
Latest update: 23 Nov 2024
Short summary
To study the distribution of airborne ragweed pollen in changing environments and associated health risks over Europe, we introduce an approach with explicit treatment of pollen ripening, release and dispersion due to environmental drivers in an online modelling framework where climate is integrated with dispersion and vegetation production. From a simulated pollen season and concentration pattern health risks are evaluated through calculation of exposure time above health-relevant threshold levels.
To study the distribution of airborne ragweed pollen in changing environments and associated...
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