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
Download
- Final revised paper (published on 17 Oct 2017)
- Supplement to the final revised paper
- Preprint (discussion started on 02 Feb 2017)
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
-
RC1: 'General comments', Slawomir Potempski, 26 Feb 2017
-
RC2: 'Review of The study “Multi-model ensemble simulation of olive pollen distribution in Europe in 2014” By Sofiev et al', Anonymous Referee #3, 10 Jun 2017
-
AC1: 'Response to reviewers', Mikhail Sofiev, 31 Jul 2017
Peer-review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Mikhail Sofiev on behalf of the Authors (26 Aug 2017)
Author's response
Manuscript
ED: Publish as is (31 Aug 2017) by Stefano Galmarini
AR by Mikhail Sofiev on behalf of the Authors (05 Sep 2017)
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