Jordina Belmonte-rekin lankidetzan egindako argitalpenak (42)

2023

  1. A Comparison of Models for the Forecast of Daily Concentration Thresholds of Airborne Fungal Spores

    Atmosphere, Vol. 14, Núm. 6

  2. Aspergillus Conidia and Allergens in Outdoor Environment: A Health Hazard?

    Journal of Fungi, Vol. 9, Núm. 6

  3. INMUNOCAT study: The impact of molecular diagnosis on immunotherapy prescription in pollen polysensitized patients from Catalonia

    Clinical and Translational Allergy, Vol. 13, Núm. 5

2022

  1. A study on correlations between precipitation ETCCDI and airborne pollen/fungal spore parameters in the NE Iberian Peninsula

    International Journal of Biometeorology, Vol. 66, Núm. 6, pp. 1173-1187

  2. Aerobiological modelling II: A review of long-range transport models

    Science of the Total Environment, Vol. 845

  3. Airborne Alt a 1 Dynamic and Its Relationship with the Airborne Dynamics of Alternaria Conidia and Pleosporales Spores

    Journal of Fungi, Vol. 8, Núm. 2

  4. Comparative Study Between the Effects of Autumn and Winter Rainfall on Aerobiological Variables in the NE of the Iberian Peninsula

    Springer Proceedings in Complexity

  5. Correction to: A study on correlations between precipitation ETCCDI and airborne pollen/fungal spore parameters in the NE Iberian Peninsula (International Journal of Biometeorology, (2022), 66, 6, (1173-1187), 10.1007/s00484-022-02267-5)

    International Journal of Biometeorology

  6. Potential contribution of distant sources to airborne Betula pollen levels in Northeastern Iberian Peninsula

    Science of the Total Environment, Vol. 818

2021

  1. Aerobiological modeling I: A review of predictive models: Aerobiological predictive models, a review

    Science of the Total Environment, Vol. 795

  2. Measurement report: Characterization of the vertical distribution of airborne Pinus pollen in the atmosphere with lidar-derived profiles - A modeling case study in the region of Barcelona, NE Spain

    Atmospheric Chemistry and Physics, Vol. 21, Núm. 23, pp. 17807-17832

  3. Neural networks for increased accuracy of allergenic pollen monitoring

    Scientific Reports, Vol. 11, Núm. 1

  4. Sin título en SCOPUS

    Proceedings of the National Academy of Sciences of the United States of America, Vol. 118, Núm. 12

  5. Spatial distribution of fungi from the analysis of aerobiological data with a gamma function

    Aerobiologia, Vol. 37, Núm. 3, pp. 461-477

2020

  1. What drives phenological synchrony? Warm springs advance and desynchronize flowering in oaks

    Agricultural and Forest Meteorology, Vol. 294

2019

  1. Airborne Alternaria and Cladosporium fungal spores in Europe: Forecasting possibilities and relationships with meteorological parameters

    Science of the Total Environment, Vol. 653, pp. 938-946

  2. Logistic regression models for predicting daily airborne Alternaria and Cladosporium concentration levels in Catalonia (NE Spain)

    International Journal of Biometeorology, Vol. 63, Núm. 12, pp. 1541-1553

  3. Modelling of airborne pollen dispersion in the atmosphere in the Catalonia region, Spain: Model description, emission scheme and evaluation of model performance for the case of Pinus

    Proceedings of SPIE - The International Society for Optical Engineering

2018

  1. First forecasts of airborne platanus and Pinus pollen in Catalonia, NE Spain: Use of a ground-based LiDar to estimate the model score

    International Geoscience and Remote Sensing Symposium (IGARSS)

  2. Modelling of pollen dispersion in the atmosphere: Evaluation with a continuous 1β+1δ lidar

    EPJ Web of Conferences