67 citations as recorded by crossref.

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30. 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
31. 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
32. 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
33. Incorporation of pollen data in source maps is vital for pollen dispersion models A. Kurganskiy et al. 10.5194/acp-20-2099-2020
34. 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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39. Estimation of historical daily airborne pollen concentrations across Switzerland using a spatio temporal random forest model B. Valipour Shokouhi et al. 10.1016/j.scitotenv.2023.167286
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43. On possibilities of assimilation of near-real-time pollen data by atmospheric composition models M. Sofiev 10.1007/s10453-019-09583-1
44. Modeling past and future spatiotemporal distributions of airborne allergenic pollen across the contiguous United States X. Ren et al. 10.3389/falgy.2022.959594
45. Atmospheric pollutants and their association with olive and grass aeroallergen concentrations in Córdoba (Spain) M. Plaza et al. 10.1007/s11356-020-10422-x
46. Optical characterization of pure pollen types using a multi-wavelength Raman polarization lidar X. Shang et al. 10.5194/acp-20-15323-2020
47. Application of the HYSPLIT model for birch pollen modelling in Poland D. Bilińska-Prałat et al. 10.1007/s10453-021-09737-0
48. 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
49. Links between recent trends in airborne pollen concentration, meteorological parameters and air pollutants F. Oduber et al. 10.1016/j.agrformet.2018.09.023
50. 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
51. When Do Subpollen Particles Become Relevant for Ice Nucleation Processes in Clouds? S. Werchner et al. 10.1029/2021JD036340
52. 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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54. Pollen observations at four EARLINET stations during the ACTRIS-COVID-19 campaign X. Shang et al. 10.5194/acp-22-3931-2022
55. On impact of transport conditions on variability of the seasonal pollen index M. Sofiev 10.1007/s10453-016-9459-x
56. Change in Carpinus betulus flowering in the Czech Republic L. Hájková et al. 10.1080/02827581.2023.2245334
57. Perspectives on environment and health research in Denmark H. Horsdal et al. 10.1177/14034948231178076
58. 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
59. Ambrosia pollen source inventory for Italy: a multi-purpose tool to assess the impact of the ragweed leaf beetle (Ophraella communa LeSage) on populations of its host plant M. Bonini et al. 10.1007/s00484-017-1469-z
60. Outdoor airborne allergens: Characterization, behavior and monitoring in Europe Ł. Grewling et al. 10.1016/j.scitotenv.2023.167042
61. Using smartphone technology to reduce health impacts from atmospheric environmental hazards F. Johnston et al. 10.1088/1748-9326/aab1e6
62. 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
63. 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
64. 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
65. Extension of WRF-Chem for birch pollen modelling—a case study for Poland M. Werner et al. 10.1007/s00484-020-02045-1
66. Quality of the Governing Temperature Variables in WRF in relation to Simulation of Primary Biological Aerosols C. Skjøth et al. 10.1155/2015/412658
67. Modeling airborne pollen concentrations at an urban scale with pollen release from individual trees D. Katz et al. 10.1007/s10453-023-09784-9