Articles | Volume 17, issue 20
https://doi.org/10.5194/acp-17-12341-2017
© 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/acp-17-12341-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Oct 2017
Research article |
| 17 Oct 2017
Multi-model ensemble simulations of olive pollen distribution in Europe in 2014: current status and outlook
Finnish Meteorological Institute, Erik Palmenin Aukio 1, Helsinki, Finland
Olga Ritenberga
University of Latvia, Latvia
Roberto Albertini
Department of Medicine and Surgery, University of Parma, Italy
Joaquim Arteta
CNRM UMR 3589, Météo-France/CNRS, Toulouse, France
Jordina Belmonte
Institute of Environmental Sciences and Technology (ICTA), Universitat Autònoma de Barcelona, Spain
Depatment of Animal Biology, Plant Biology and Ecology, Universitat Autònoma de Barcelona, Spain
Carmi Geller Bernstein
Sheba Medical Center, Ramat Gan Zabludowicz Center for Autoimmune Diseases, Israel
Maira Bonini
Agenzia Tutela della Salute della Città Metropolitana di Milano/LHA ATS Città Metropolitana Milano, Italy
Sevcan Celenk
Biology department, Uludag University, Turkey
Athanasios Damialis
Chair and Institute of Environmental Medicine, UNIKA-T, Technical University of Munich and Helmholtz Zentrum München – German Research Center for Environmental Health, Augsburg, Germany
Department of Ecology, School of Biology, Aristotle University of Thessaloniki, Greece
John Douros
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Hendrik Elbern
Rhenish Institute for Environmental Research at the University of Cologne, Germany
Elmar Friese
Rhenish Institute for Environmental Research at the University of Cologne, Germany
Carmen Galan
Dpto. Botánica, Ecología y Fisiol. Vegetal, University of Cordoba, Spain
Gilles Oliver
RNSA, Brussieu, France
Ivana Hrga
Andrija Stampar Teaching Institute of Public Health, Croatia
Rostislav Kouznetsov
Finnish Meteorological Institute, Erik Palmenin Aukio 1, Helsinki, Finland
IAPh, Russian Academy of Sciences, Moscow, Russia
Kai Krajsek
Institute of Energy and Climate Research (IEK-8), Forschungszentrum Jülich, Germany
Donat Magyar
National Centre of Public Health, Hungary
Jonathan Parmentier
CNRM UMR 3589, Météo-France/CNRS, Toulouse, France
Matthieu Plu
CNRM UMR 3589, Météo-France/CNRS, Toulouse, France
Marje Prank
Finnish Meteorological Institute, Erik Palmenin Aukio 1, Helsinki, Finland
Lennart Robertson
Swedish Meteorological and Hydrological Institute SMHI, Sweden
Birthe Marie Steensen
MET Norway
Michel Thibaudon
RNSA, Brussieu, France
Arjo Segers
TNO, the Netherlands
Barbara Stepanovich
Andrija Stampar Teaching Institute of Public Health, Croatia
Alvaro M. Valdebenito
MET Norway
Julius Vira
Finnish Meteorological Institute, Erik Palmenin Aukio 1, Helsinki, Finland
Despoina Vokou
Department of Ecology, School of Biology, Aristotle University of Thessaloniki, Greece
Viewed
Total article views: 3,361 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Feb 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,069 | 1,136 | 156 | 3,361 | 208 | 93 | 116 |
- HTML: 2,069
- PDF: 1,136
- XML: 156
- Total: 3,361
- Supplement: 208
- BibTeX: 93
- EndNote: 116
Total article views: 2,504 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Oct 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,614 | 782 | 108 | 2,504 | 208 | 75 | 67 |
- HTML: 1,614
- PDF: 782
- XML: 108
- Total: 2,504
- Supplement: 208
- BibTeX: 75
- EndNote: 67
Total article views: 857 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Feb 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 455 | 354 | 48 | 857 | 18 | 49 |
- HTML: 455
- PDF: 354
- XML: 48
- Total: 857
- BibTeX: 18
- EndNote: 49
Viewed (geographical distribution)
Total article views: 3,361 (including HTML, PDF, and XML)
Thereof 3,370 with geography defined
and -9 with unknown origin.
Total article views: 2,504 (including HTML, PDF, and XML)
Thereof 2,522 with geography defined
and -18 with unknown origin.
Total article views: 857 (including HTML, PDF, and XML)
Thereof 848 with geography defined
and 9 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
29 citations as recorded by crossref.
- Impact of Ragweed Pollen Daily Release Intensity on Long-Range Transport in Western Europe L. Menut et al. 10.3390/atmos12060693
- RealForAll: real-time system for automatic detection of airborne pollen D. Tešendić et al. 10.1080/17517575.2020.1793391
- The Clinical Utility of Pollen Counts C. Geller-Bernstein & J. Portnoy 10.1007/s12016-018-8698-8
- Do atmospheric events explain the arrival of an invasive ladybird (Harmonia axyridis) in the UK? P. Siljamo et al. 10.1371/journal.pone.0219335
- Automatic detection of airborne pollen: an overview J. Buters et al. 10.1007/s10453-022-09750-x
- Recent developments in monitoring and modelling airborne pollen, a review J. Maya-Manzano et al. 10.1080/00173134.2020.1769176
- Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of the MarcoPolo–Panda prediction system, version 1 G. Brasseur et al. 10.5194/gmd-12-33-2019
- Designing an automatic pollen monitoring network for direct usage of observations to reconstruct the concentration fields M. Sofiev et al. 10.1016/j.scitotenv.2023.165800
- Pollen forecasting and its relevance in pollen allergen avoidance C. Suanno et al. 10.1016/j.envres.2021.111150
- The need for Pan‐European automatic pollen and fungal spore monitoring: A stakeholder workshop position paper F. Tummon et al. 10.1002/clt2.12015
- 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
- Assessment of environmental risk areas based on airborne pollen patterns as a response to land use and land cover distribution J. Rojo et al. 10.1016/j.envpol.2024.123385
- Climate change, airborne allergens, and three translational mitigation approaches P. Beggs et al. 10.1016/j.ebiom.2023.104478
- 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
- Automatic pollen recognition with the Rapid-E particle counter: the first-level procedure, experience and next steps I. Šaulienė et al. 10.5194/amt-12-3435-2019
- A real-time calibration method for the numerical pollen forecast model COSMO-ART S. Adamov & A. Pauling 10.1007/s10453-023-09796-5
- Importance of the quality management of aerobiological monitoring networks: The case study of Madrid Region in Spain P. Cervigón et al. 10.1016/j.scitotenv.2024.176544
- Building an automatic pollen monitoring network (ePIN): Selection of optimal sites by clustering pollen stations J. Oteros et al. 10.1016/j.scitotenv.2019.06.131
- A demonstration project of Global Alliance against Chronic Respiratory Diseases: Prediction of interactions between air pollution and allergen exposure—the Mobile Airways Sentinel NetworK-Impact of air POLLution on Asthma and Rhinitis approach M. Sofiev et al. 10.1097/CM9.0000000000000916
- The EUMETNET AutoPollen programme: establishing a prototype automatic pollen monitoring network in Europe B. Clot et al. 10.1007/s10453-020-09666-4
- 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
- The 2024 Europe report of the Lancet Countdown on health and climate change: unprecedented warming demands unprecedented action K. van Daalen et al. 10.1016/S2468-2667(24)00055-0
- The impact of the spatial resolution of vegetation cover on the prediction of airborne pollen concentrations over northern Italy S. Tagliaferro et al. 10.1016/j.agrformet.2024.110153
- The 2022 Europe report of the Lancet Countdown on health and climate change: towards a climate resilient future K. van Daalen et al. 10.1016/S2468-2667(22)00197-9
- Time-Dependent Downscaling of PM2.5 Predictions from CAMS Air Quality Models to Urban Monitoring Sites in Budapest A. Varga-Balogh et al. 10.3390/atmos11060669
- The role of automatic pollen and fungal spore monitoring across major end-user domains F. Tummon et al. 10.1007/s10453-024-09820-2
- Bioaerosols in the atmosphere at two sites in Northern Europe in spring 2021: Outline of an experimental campaign M. Sofiev et al. 10.1016/j.envres.2022.113798
- European pollen reanalysis, 1980–2022, for alder, birch, and olive M. Sofiev et al. 10.1038/s41597-024-03686-2
- On possibilities of assimilation of near-real-time pollen data by atmospheric composition models M. Sofiev 10.1007/s10453-019-09583-1
27 citations as recorded by crossref.
- Impact of Ragweed Pollen Daily Release Intensity on Long-Range Transport in Western Europe L. Menut et al. 10.3390/atmos12060693
- RealForAll: real-time system for automatic detection of airborne pollen D. Tešendić et al. 10.1080/17517575.2020.1793391
- The Clinical Utility of Pollen Counts C. Geller-Bernstein & J. Portnoy 10.1007/s12016-018-8698-8
- Do atmospheric events explain the arrival of an invasive ladybird (Harmonia axyridis) in the UK? P. Siljamo et al. 10.1371/journal.pone.0219335
- Automatic detection of airborne pollen: an overview J. Buters et al. 10.1007/s10453-022-09750-x
- Recent developments in monitoring and modelling airborne pollen, a review J. Maya-Manzano et al. 10.1080/00173134.2020.1769176
- Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of the MarcoPolo–Panda prediction system, version 1 G. Brasseur et al. 10.5194/gmd-12-33-2019
- Designing an automatic pollen monitoring network for direct usage of observations to reconstruct the concentration fields M. Sofiev et al. 10.1016/j.scitotenv.2023.165800
- Pollen forecasting and its relevance in pollen allergen avoidance C. Suanno et al. 10.1016/j.envres.2021.111150
- The need for Pan‐European automatic pollen and fungal spore monitoring: A stakeholder workshop position paper F. Tummon et al. 10.1002/clt2.12015
- 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
- Assessment of environmental risk areas based on airborne pollen patterns as a response to land use and land cover distribution J. Rojo et al. 10.1016/j.envpol.2024.123385
- Climate change, airborne allergens, and three translational mitigation approaches P. Beggs et al. 10.1016/j.ebiom.2023.104478
- 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
- Automatic pollen recognition with the Rapid-E particle counter: the first-level procedure, experience and next steps I. Šaulienė et al. 10.5194/amt-12-3435-2019
- A real-time calibration method for the numerical pollen forecast model COSMO-ART S. Adamov & A. Pauling 10.1007/s10453-023-09796-5
- Importance of the quality management of aerobiological monitoring networks: The case study of Madrid Region in Spain P. Cervigón et al. 10.1016/j.scitotenv.2024.176544
- Building an automatic pollen monitoring network (ePIN): Selection of optimal sites by clustering pollen stations J. Oteros et al. 10.1016/j.scitotenv.2019.06.131
- A demonstration project of Global Alliance against Chronic Respiratory Diseases: Prediction of interactions between air pollution and allergen exposure—the Mobile Airways Sentinel NetworK-Impact of air POLLution on Asthma and Rhinitis approach M. Sofiev et al. 10.1097/CM9.0000000000000916
- The EUMETNET AutoPollen programme: establishing a prototype automatic pollen monitoring network in Europe B. Clot et al. 10.1007/s10453-020-09666-4
- 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
- The 2024 Europe report of the Lancet Countdown on health and climate change: unprecedented warming demands unprecedented action K. van Daalen et al. 10.1016/S2468-2667(24)00055-0
- The impact of the spatial resolution of vegetation cover on the prediction of airborne pollen concentrations over northern Italy S. Tagliaferro et al. 10.1016/j.agrformet.2024.110153
- The 2022 Europe report of the Lancet Countdown on health and climate change: towards a climate resilient future K. van Daalen et al. 10.1016/S2468-2667(22)00197-9
- Time-Dependent Downscaling of PM2.5 Predictions from CAMS Air Quality Models to Urban Monitoring Sites in Budapest A. Varga-Balogh et al. 10.3390/atmos11060669
- The role of automatic pollen and fungal spore monitoring across major end-user domains F. Tummon et al. 10.1007/s10453-024-09820-2
- Bioaerosols in the atmosphere at two sites in Northern Europe in spring 2021: Outline of an experimental campaign M. Sofiev et al. 10.1016/j.envres.2022.113798
Discussed (final revised paper)
Latest update: 20 Nov 2024
Short summary
This work presents the features and evaluates the quality of the Copernicus Atmospheric Monitoring Service forecasts of olive pollen distribution in Europe. It is shown that the models can predict the main features of the observed pollen distribution but have more difficulties in capturing the season start and end, which appeared shifted by a few days. We also demonstrated that the combined use of model predictions with up-to-date measurements (data fusion) can strongly improve the results.
This work presents the features and evaluates the quality of the Copernicus Atmospheric...
Altmetrics
Final-revised paper
Preprint