Articles | Volume 15, issue 14
https://doi.org/10.5194/acp-15-8115-2015
© Author(s) 2015. 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-15-8115-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
MACC regional multi-model ensemble simulations of birch pollen dispersion in Europe
Finnish Meteorological Institute, Erik Palmenin Aukio 1, Helsinki, Finland
U. Berger
Medical University of Vienna, Vienna, Austria
M. Prank
Finnish Meteorological Institute, Erik Palmenin Aukio 1, Helsinki, Finland
Finnish Meteorological Institute, Erik Palmenin Aukio 1, Helsinki, Finland
J. Arteta
Groupe d'Étude de l'Atmosphère Méréorologique/Centre National de Recherches Météorologiques, CNRS-Météo-France, Toulouse, France
J. Belmonte
Institut de Ciència i Tecnologia Ambientals, Universitat Autònoma de Barcelona, Barcelona, Spain
K.-C. Bergmann
Foundation German Pollen Information Service, Berlin, Germany
F. Chéroux
Groupe d'Étude de l'Atmosphère Méréorologique/Centre National de Recherches Météorologiques, CNRS-Météo-France, Toulouse, France
H. Elbern
Rhenish Institute for Environmental Research at the University of Cologne, Cologne, Germany
E. Friese
Rhenish Institute for Environmental Research at the University of Cologne, Cologne, Germany
C. Galan
University of Cordoba, Cordoba, Spain
R. Gehrig
Federal Office of Meteorology and Climatology Meteo Swiss, Zurich, Switzerland
D. Khvorostyanov
Laboratoire de Météorologie Dynamique, CNRS, Ecole Polytechnique, Ecole Normale Supérieure, Université P.M. Curie, Ecole Nationale des Ponts et Chaussées, Palaiseau, France
R. Kranenburg
TNO, Utrecht, the Netherlands
U. Kumar
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
V. Marécal
Groupe d'Étude de l'Atmosphère Méréorologique/Centre National de Recherches Météorologiques, CNRS-Météo-France, Toulouse, France
F. Meleux
INERIS, Institut National de l'Environnement Industriel et des Risques, Verneuil en Halatte, France
Laboratoire de Météorologie Dynamique, CNRS, Ecole Polytechnique, Ecole Normale Supérieure, Université P.M. Curie, Ecole Nationale des Ponts et Chaussées, Palaiseau, France
A.-M. Pessi
University of Turku, Turku, Finland
L. Robertson
SMHI, Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
O. Ritenberga
University of Latvia, Riga, Latvia
V. Rodinkova
VNMU, Vinnitsa National Medical University, Vinnitsa, Ukraine
A. Saarto
University of Turku, Turku, Finland
A. Segers
TNO, Utrecht, the Netherlands
E. Severova
Moscow State University, Moscow, Russia
I. Sauliene
Siauliai University, Siauliai, Lithuania
P. Siljamo
Finnish Meteorological Institute, Erik Palmenin Aukio 1, Helsinki, Finland
B. M. Steensen
MET Norway, Oslo, Norway
E. Teinemaa
Estonian Environmental Research Centre, Tallinn, Estonia
M. Thibaudon
RNSA, Brussieu, France
V.-H. Peuch
European Centre of Medium-Range Weather Forecast, Reading, UK
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- Extension of WRF-Chem for birch pollen modelling—a case study for Poland M. Werner et al. 10.1007/s00484-020-02045-1
- Quality of the Governing Temperature Variables in WRF in relation to Simulation of Primary Biological Aerosols C. Skjøth et al. 10.1155/2015/412658
- Modeling airborne pollen concentrations at an urban scale with pollen release from individual trees D. Katz et al. 10.1007/s10453-023-09784-9
62 citations as recorded by crossref.
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- Statistical modelling of non-stationary processes of atmospheric pollution from natural sources: example of birch pollen O. Ritenberga et al. 10.1016/j.agrformet.2016.05.016
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- 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
- 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
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- Pollen forecasts in complex topography: two case studies from the Alps using the numerical pollen forecast model COSMO-ART A. Pauling et al. 10.1007/s10453-019-09590-2
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- Preparation of spin squeezed state in SiV centers coupled by diamond waveguide* Y. Ma et al. 10.1088/1674-1056/ac05b3
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- Potential contribution of distant sources to airborne Betula pollen levels in Northeastern Iberian Peninsula M. Alarcón et al. 10.1016/j.scitotenv.2021.151827
- Are the Pyrenees a barrier for the transport of birch (Betula) pollen from Central Europe to the Iberian Peninsula? R. Izquierdo et al. 10.1016/j.scitotenv.2016.09.192
- How to prepare a pollen calendar for forecasting daily pollen concentrations of Ambrosia, Betula and Poaceae? B. Šikoparija et al. 10.1007/s10453-018-9507-9
- 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
- Incorporation of pollen data in source maps is vital for pollen dispersion models A. Kurganskiy et al. 10.5194/acp-20-2099-2020
- Evaluation of the performance of short-term curated daily airborne grass pollen forecasts in diverse biogeographical regions during the AusPollen Partnership project 2016–2020 K. Emmerson et al. 10.1016/j.aeaoa.2022.100183
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- Correspondence between tree pollen emissions sources and pollen content of the ambient air L. Kremenska et al. 10.1007/s10453-019-09579-x
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- Comparative long-term trend analysis of daily weather conditions with daily pollen concentrations in Brussels, Belgium N. Bruffaerts et al. 10.1007/s00484-017-1457-3
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- 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
- When Do Subpollen Particles Become Relevant for Ice Nucleation Processes in Clouds? S. Werchner et al. 10.1029/2021JD036340
- Reconstructing multi-decadal airborne birch pollen levels based on NDVI data and a pollen transport model W. Verstraeten et al. 10.1016/j.agrformet.2022.108942
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- Outdoor airborne allergens: Characterization, behavior and monitoring in Europe Ł. Grewling et al. 10.1016/j.scitotenv.2023.167042
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- The effect of accounting for public holidays on the skills of the atmospheric composition model SILAM v.5.7 Y. Fatahi et al. 10.5194/gmd-14-7459-2021
- Multi-model ensemble simulations of olive pollen distribution in Europe in 2014: current status and outlook M. Sofiev et al. 10.5194/acp-17-12341-2017
- Ten questions about pollen and symptom load and the need for indoor measurements in built environment K. Bastl et al. 10.1016/j.buildenv.2016.01.006
3 citations as recorded by crossref.
- Extension of WRF-Chem for birch pollen modelling—a case study for Poland M. Werner et al. 10.1007/s00484-020-02045-1
- Quality of the Governing Temperature Variables in WRF in relation to Simulation of Primary Biological Aerosols C. Skjøth et al. 10.1155/2015/412658
- Modeling airborne pollen concentrations at an urban scale with pollen release from individual trees D. Katz et al. 10.1007/s10453-023-09784-9
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Short summary
The paper presents the first ensemble modelling experiment for forecasting the atmospheric dispersion of birch pollen in Europe. The study included 7 models of MACC-ENS tested over the season of 2010 and applied for 2013 in forecasting and reanalysis modes. The results were compared with observations in 11 countries, members of European Aeroallergen Network. The models successfully reproduced the timing of the unusually late season of 2013 but had more difficulties with absolute concentration.
The paper presents the first ensemble modelling experiment for forecasting the atmospheric...
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