Evaluation of a fine-scale Eulerian modeling system for pollen in Thessaloniki, Greece

This study presents an enhanced high-resolution modeling system (WRF-NEMO-CAMx) designed to simulate airborne pollen concentrations for three key taxa for Mediterranean climates, Quercus, Pinus spp. and Olea europaea L. , in the broader Thessaloniki area, Greece, at a spatial resolution of 2 km for the year 2019. Three emission scenarios (“Base,” “Max,” and “Min”) were implemented using literature-based pollen production values. The system was evaluated using ground-based meteorological observations and daily airborne pollen concentrations. The evaluation of simulated pollen concentrations confirmed the overall satisfactory performance of the modeling system. Among the three scenarios examined, the “Min” simulation yielded the best agreement with observations for Quercus (Index of Agreement, IOA = 0.81) and Pinus spp. (IOA = 0.76), while for Olea , the “Max” scenario demonstrated superior performance (IOA = 0.89). Analysis of subcategory contributions revealed that QRPR ( Quercus Robur/Petraea ) was the dominant contributor to Quercus pollen concentrations, while PMSC, representing Pinus species excluding Pinus pinaster and Pinus sylvestris , accounted for the largest share among the Pinus spp. categories. The spatial distribution of seasonal emissions indicated higher values in areas with dense vegetation cover for Quercus and Pinus spp., and in coastal and agricultural zones for Olea , reflecting the known patterns of species occurrence in the study region. These findings support the future integration of the modeling system into a high-resolution pollen health-warning framework, aimed at improving exposure forecasts.

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Publication Details

Journal
Agricultural and Forest Meteorology
Published
2026-09-06
DOI
https://doi.org/10.1016/j.agrformet.2026.111461
Primary Topic
Allergic Rhinitis and Sensitization
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluation of a fine-scale Eulerian modeling system for pollen in Thessaloniki, Greece

D. Melas, Sofia Papadogiannaki, T. Wang, D.T. Tsiaousidis et al.
Agricultural and Forest Meteorology
Allergic Rhinitis and Sensitization
article

Evaluation of a fine-scale Eulerian modeling system for pollen in Thessaloniki, Greece

D. Melas, Sofia Papadogiannaki, T. Wang, D.T. Tsiaousidis, S. Kontos
article en

Abstract

This study presents an enhanced high-resolution modeling system (WRF-NEMO-CAMx) designed to simulate airborne pollen concentrations for three key taxa for Mediterranean climates, Quercus, Pinus spp. and Olea europaea L. , in the broader Thessaloniki area, Greece, at a spatial resolution of 2 km for the year 2019. Three emission scenarios (“Base,” “Max,” and “Min”) were implemented using literature-based pollen production values. The system was evaluated using ground-based meteorological observations and daily airborne pollen concentrations. The evaluation of simulated pollen concentrations confirmed the overall satisfactory performance of the modeling system. Among the three scenarios examined, the “Min” simulation yielded the best agreement with observations for Quercus (Index of Agreement, IOA = 0.81) and Pinus spp. (IOA = 0.76), while for Olea , the “Max” scenario demonstrated superior performance (IOA = 0.89). Analysis of subcategory contributions revealed that QRPR ( Quercus Robur/Petraea ) was the dominant contributor to Quercus pollen concentrations, while PMSC, representing Pinus species excluding Pinus pinaster and Pinus sylvestris , accounted for the largest share among the Pinus spp. categories. The spatial distribution of seasonal emissions indicated higher values in areas with dense vegetation cover for Quercus and Pinus spp., and in coastal and agricultural zones for Olea , reflecting the known patterns of species occurrence in the study region. These findings support the future integration of the modeling system into a high-resolution pollen health-warning framework, aimed at improving exposure forecasts.

Agricultural and Forest MeteorologyVol. 390
Aristotle University of Thessaloniki (GR), Nanjing University (CN)
General Secretariat for Research and Technology, Aristotle University of Thessaloniki, Research Committee, Aristotle University of Thessaloniki
Climate action
Openalex Percentile: Top 13%
Allergic Rhinitis and Sensitization
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