96 citations as recorded by crossref.

1. Assessing uncertainty in airborne birch pollen modelling W. Verstraeten et al. 10.1007/s10453-024-09818-w
2. Integration of in situ and satellite data for top-down mapping of Ambrosia infection level P. Lugonja et al. 10.1016/j.rse.2019.111455
3. 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
4. Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform A. Mahura et al. 10.1080/20964471.2024.2325019
5. Effects of ship emissions on air quality in the Baltic Sea region simulated with three different chemistry transport models M. Karl et al. 10.5194/acp-19-7019-2019
6. A deep stratosphere-to-troposphere ozone transport event over Europe simulated in CAMS global and regional forecast systems: analysis and evaluation D. Akritidis et al. 10.5194/acp-18-15515-2018
7. The Danish Lagrangian Model (DALM): Development of a new local-scale high-resolution air pollution model C. Andersen et al. 10.1016/j.envsoft.2024.106010
8. Aerosol optical properties over Europe: an evaluation of the AQMEII Phase 3 simulations against satellite observations L. Palacios-Peña et al. 10.5194/acp-19-2965-2019
9. 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
10. 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
11. Newly identified climatically and environmentally significant high-latitude dust sources O. Meinander et al. 10.5194/acp-22-11889-2022
12. Digital transformation of health and care to sustain Planetary Health: The MASK proof-of-concept for airway diseases—POLLAR symposium under the auspices of Finland’s Presidency of the EU, 2019 and MACVIA-France, Global Alliance against Chronic Respiratory Diseases (GARD, WH0) demonstration project, Reference Site Collaborative Network of the European Innovation Partnership on Active and Healthy Ageing J. Bousquet et al. 10.1186/s13601-020-00321-2
13. Synergy of Using Nadir and Limb Instruments for Tropospheric Ozone Monitoring (SUNLIT) V. Sofieva et al. 10.5194/amt-15-3193-2022
14. Marine and atmospheric transport modeling supporting nuclear preparedness in Norway: Recent achievements and remaining challenges M. Simonsen et al. 10.1016/j.scitotenv.2024.178161
15. Characterizing the regional contribution to PM10 pollution over northern France using two complementary approaches: Chemistry transport and trajectory-based receptor models E. Potier et al. 10.1016/j.atmosres.2019.03.002
16. The Influence of Emissions from Maritime Transport on Air Quality in the Strait of Gibraltar (Spain) V. Durán-Grados et al. 10.3390/su141912507
17. Tree-ring N isotopic ratio increased with increasing latitude and decreasing N availability in pine stands across Finland A. Smolander et al. 10.1016/j.ecolind.2023.110604
18. A bottom-up emission estimate for the 2022 Nord Stream gas leak: derivation, simulations, and evaluation R. Kouznetsov et al. 10.5194/acp-24-4675-2024
19. Spatio-temporal monitoring and modelling of birch pollen levels in Belgium W. Verstraeten et al. 10.1007/s10453-019-09607-w
20. Prenatal and early life exposure to air pollution and the risk of severe lower respiratory tract infections during early childhood: the Espoo Cohort Study A. Belachew et al. 10.1136/oemed-2023-109112
21. On possibilities of assimilation of near-real-time pollen data by atmospheric composition models M. Sofiev 10.1007/s10453-019-09583-1
22. A volcanic-hazard demonstration exercise to assess and mitigate the impacts of volcanic ash clouds on civil and military aviation M. Hirtl et al. 10.5194/nhess-20-1719-2020
23. Evaluation of 137Cs, 133Xe and 3H activity concentrations monitored in the Arctic atmosphere W. Zhang et al. 10.1016/j.jenvrad.2022.107013
24. The offline Lagrangian particle model FLEXPART–NorESM/CAM (v1): model description and comparisons with the online NorESM transport scheme and with the reference FLEXPART model M. Cassiani et al. 10.5194/gmd-9-4029-2016
25. Predicting the onset of Betula pendula flowering in Poznań (Poland) using remote sensing thermal data P. Bogawski et al. 10.1016/j.scitotenv.2018.12.295
26. Synergistic effects of prenatal exposure to fine particulate matter (PM2.5) and ozone (O3) on the risk of preterm birth: A population-based cohort study N. Siddika et al. 10.1016/j.envres.2019.108549
27. A complex aerosol transport event over Europe during the 2017 Storm Ophelia in CAMS forecast systems: analysis and evaluation D. Akritidis et al. 10.5194/acp-20-13557-2020
28. Interactions Between Air Pollution and Pollen Season for Rhinitis Using Mobile Technology: A MASK-POLLAR Study A. Bédard et al. 10.1016/j.jaip.2019.11.022
29. Residential greenness and pollen exposure across gestational trimesters in relation to preschool wheezing: Results for the PIPO birth cohort K. De Troeyer et al. 10.1016/j.envres.2024.120646
30. Predicting long-term air pollutant concentrations through deep learning-based integration of heterogeneous urban data C. Chen et al. 10.1016/j.apr.2024.102282
31. Fires as a source of annual ambient PM2.5 exposure and chronic health impacts in Europe S. Chowdhury et al. 10.1016/j.scitotenv.2024.171314
32. On impact of transport conditions on variability of the seasonal pollen index M. Sofiev 10.1007/s10453-016-9459-x
33. The 2023 report of the Lancet Countdown on health and climate change: the imperative for a health-centred response in a world facing irreversible harms M. Romanello et al. 10.1016/S0140-6736(23)01859-7
34. Health Impacts of Ambient Air Pollution in Finland H. Lehtomäki et al. 10.3390/ijerph15040736
35. Influence of spatial resolution on population PM2.5 exposure and health impacts A. Korhonen et al. 10.1007/s11869-019-00690-z
36. Evaluation of multidecadal high-resolution atmospheric chemistry-transport modelling for exposure assessments in the continental Nordic countries L. Frohn et al. 10.1016/j.atmosenv.2022.119334
37. Advection Problems with Spatially Varying Velocity Fields: 1D and 2D Analytical and Numerical Solutions D. Corrigan et al. 10.1061/(ASCE)HY.1943-7900.0001782
38. Downscaling of air pollutants in Europe using uEMEP_v6 Q. Mu et al. 10.5194/gmd-15-449-2022
39. Incorporation of pollen data in source maps is vital for pollen dispersion models A. Kurganskiy et al. 10.5194/acp-20-2099-2020
40. Effects of Air Pollution on the Risk of Low Birth Weight in a Cold Climate H. Balogun et al. 10.3390/app10186399
41. Forecasting system for urban air quality with automatic correction and web service for public dissemination M. Karl et al. 10.1080/17538947.2024.2359569
42. Forecasting the regional fire radiative power for regularly ignited vegetation fires T. Partanen & M. Sofiev 10.5194/nhess-22-1335-2022
43. 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
44. Analyzing the airborne birch and grass pollen monitoring network of Belgium W. Verstraeten et al. 10.1007/s10453-025-09846-0
45. Recent meteorological and marine studies to support nuclear power plant safety in Finland K. Jylhä et al. 10.1016/j.energy.2018.09.033
46. 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
47. Variational assimilation of IASI SO2 plume height and total column retrievals in the 2010 eruption of Eyjafjallajökull using the SILAM v5.3 chemistry transport model J. Vira et al. 10.5194/gmd-10-1985-2017
48. Cleaner fuels for ships provide public health benefits with climate tradeoffs M. Sofiev et al. 10.1038/s41467-017-02774-9
49. Combining Mie–Raman and fluorescence observations: a step forward in aerosol classification with lidar technology I. Veselovskii et al. 10.5194/amt-15-4881-2022
50. Spatial interpolation of current airborne pollen concentrations where no monitoring exists J. Oteros et al. 10.1016/j.atmosenv.2018.11.045
51. 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
52. Towards standardisation of automatic pollen and fungal spore monitoring: best practises and guidelines F. Tummon et al. 10.1007/s10453-022-09755-6
53. Pollen forecasting and its relevance in pollen allergen avoidance C. Suanno et al. 10.1016/j.envres.2021.111150
54. Mie–Raman–fluorescence lidar observations of aerosols during pollen season in the north of France I. Veselovskii et al. 10.5194/amt-14-4773-2021
55. Pollen production of downy birch (Betula pubescens Ehrh.) along an altitudinal gradient in the European Alps S. Ranpal et al. 10.1007/s00484-023-02483-7
56. Modelling of the public health costs of fine particulate matter and results for Finland in 2015 J. Kukkonen et al. 10.5194/acp-20-9371-2020
57. Mixed precision support in HPC applications: What about reliability? A. Netti et al. 10.1016/j.jpdc.2023.104746
58. Technical note: Improving the European air quality forecast of the Copernicus Atmosphere Monitoring Service using machine learning techniques J. Bertrand et al. 10.5194/acp-23-5317-2023
59. Particulate matter modelling techniques for epidemiological studies of open biomass fire smoke exposure: a review A. Johnson et al. 10.1007/s11869-019-00771-z
60. The influence of residential wood combustion on the concentrations of PM2.5 in four Nordic cities J. Kukkonen et al. 10.5194/acp-20-4333-2020
61. The 2022 report of the Lancet Countdown on health and climate change: health at the mercy of fossil fuels M. Romanello et al. 10.1016/S0140-6736(22)01540-9
62. Snow Samples Combined With Long-Range Transport Modeling to Reveal the Origin and Temporal Variability of Black Carbon in Seasonal Snow in Sodankylä (67°N) O. Meinander et al. 10.3389/feart.2020.00153
63. Technical note: Intermittent reduction of the stratospheric ozone over northern Europe caused by a storm in the Atlantic Ocean M. Sofiev et al. 10.5194/acp-20-1839-2020
64. 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
65. Modelling grass pollen levels in Belgium W. Verstraeten et al. 10.1016/j.scitotenv.2020.141903
66. Evaluation and error apportionment of an ensemble of atmospheric chemistry transport modeling systems: multivariable temporal and spatial breakdown E. Solazzo et al. 10.5194/acp-17-3001-2017
67. An operational urban air quality model ENFUSER, based on dispersion modelling and data assimilation L. Johansson et al. 10.1016/j.envsoft.2022.105460
68. Shipping and algae emissions have a major impact on ambient air mixing ratios of non-methane hydrocarbons (NMHCs) and methanethiol on Utö Island in the Baltic Sea H. Hellén et al. 10.5194/acp-24-4717-2024
69. Description of the uEMEP_v5 downscaling approach for the EMEP MSC-W chemistry transport model B. Denby et al. 10.5194/gmd-13-6303-2020
70. A nationwide epidemiological study on the associations between ambient particulate matter and suicide in Finland Y. Kim et al. 10.1038/s44220-024-00216-2
71. Comparison of tropospheric NO2 columns from MAX-DOAS retrievals and regional air quality model simulations A. Blechschmidt et al. 10.5194/acp-20-2795-2020
72. Assessment of Air Basin Pollution within the Limits of the Technogenic System (Dalpolimetall) Impact Using Mathematical Modeling M. Filatova et al. 10.1088/1755-1315/459/3/032047
73. The contribution of residential wood combustion to the PM2.5 concentrations in the Helsinki metropolitan area L. Kangas et al. 10.5194/acp-24-1489-2024
74. Simulating age of air and the distribution of SF6 in the stratosphere with the SILAM model R. Kouznetsov et al. 10.5194/acp-20-5837-2020
75. A real-time calibration method for the numerical pollen forecast model COSMO-ART S. Adamov & A. Pauling 10.1007/s10453-023-09796-5
76. Current state of the global operational aerosol multi‐model ensemble: An update from the International Cooperative for Aerosol Prediction (ICAP) P. Xian et al. 10.1002/qj.3497
77. Numerical Simulation of Particulate Matter Transport in the Atmospheric Urban Boundary Layer Using the Lagrangian Approach: Physical Problems and Parallel Implementation A. Varentsov et al. 10.1134/S0361768823080248
78. Pollen observations at four EARLINET stations during the ACTRIS-COVID-19 campaign X. Shang et al. 10.5194/acp-22-3931-2022
79. 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
80. Lidar-Derived Tree Crown Parameters: Are They New Variables Explaining Local Birch (Betula sp.) Pollen Concentrations? P. Bogawski et al. 10.3390/f10121154
81. Short-term prenatal exposure to ambient air pollution and risk of preterm birth - A population-based cohort study in Finland N. Siddika et al. 10.1016/j.envres.2020.109290
82. Evaluation of 137cs, 133xe and 3h Activity Concentrations Monitored in the Arctic Atmosphere W. Zhang et al. 10.2139/ssrn.4133598
83. Air quality modeling intercomparison and multiscale ensemble chain for Latin America J. Pachón et al. 10.5194/gmd-17-7467-2024
84. ARIA digital anamorphosis: Digital transformation of health and care in airway diseases from research to practice J. Bousquet et al. 10.1111/all.14422
85. African dust transport and deposition modelling verified through a citizen science campaign in Finland O. Meinander et al. 10.1038/s41598-023-46321-7
86. 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
87. Do atmospheric events explain the arrival of an invasive ladybird (Harmonia axyridis) in the UK? P. Siljamo et al. 10.1371/journal.pone.0219335
88. The impact of nitrogen and sulfur emissions from shipping on the exceedance of critical loads in the Baltic Sea region S. Jutterström et al. 10.5194/acp-21-15827-2021
89. Evaluation of the performance of four chemical transport models in predicting the aerosol chemical composition in Europe in 2005 M. Prank et al. 10.5194/acp-16-6041-2016
90. Floating in the air: forecasting allergenic pollen concentration for managing urban public health X. Zhu et al. 10.1080/17538947.2024.2306894
91. Mineral dust optical properties for remote sensing and global modeling: A review P. Castellanos et al. 10.1016/j.rse.2023.113982
92. European pollen reanalysis, 1980–2022, for alder, birch, and olive M. Sofiev et al. 10.1038/s41597-024-03686-2
93. Mortality due to Vegetation Fire–Originated PM 2.5 Exposure in Europe—Assessment for the Years 2005 and 2008 V. Kollanus et al. 10.1289/EHP194
94. Comparing Sentinel-5P TROPOMI NO2 column observations with the CAMS regional air quality ensemble J. Douros et al. 10.5194/gmd-16-509-2023
95. SILAM and MACC reanalysis aerosol data used for simulating the aerosol direct radiative effect with the NWP model HARMONIE for summer 2010 wildfire case in Russia V. Toll et al. 10.1016/j.atmosenv.2015.06.007
96. EXCHANGE CHARACTERISTICS OF AN ANTHROPOGENICALLY MODIFIED LAGOON: AN EULERIAN-LAGRANGIAN MODELING CASE STUDY WITH AN EMPHASIS ON THE NUMBER OF PARTICLES B. Büyükçelebi et al. 10.3846/jeelm.2021.15237