TY - JOUR
T1 - Modelling of pollen dispersion in the atmosphere
T2 - Evaluation with a continuous 1β+1δ lidar
AU - Sicard, Michaël
AU - Izquierdo, Rebeca
AU - Jorba, Oriol
AU - Alarcón, Marta
AU - Belmonte, Jordina
AU - Comerón, Adolfo
AU - De Linares, Concepción
AU - Baldasano, José Maria
N1 - Publisher Copyright:
© The Authors, published by EDP Sciences, 2018.
PY - 2018/4/13
Y1 - 2018/4/13
N2 - Pollen allergenicity plays an important role on human health and wellness. It is thus of large public interest to increase our knowledge of pollen grain behavior in the atmosphere (source, emission, processes involved during their transport, etc.) at fine temporal and spatial scales. First simulations with the Barcelona Supercomputing Center NMMB/BSC-CTM model of Platanus and Pinus dispersion in the atmosphere were performed during a 5-day pollination event observed in Barcelona, Spain, between 27 - 31 March, 2015. The simulations are compared to vertical profiles measured with the continuous Barcelona Micro Pulse Lidar system. First results show that the vertical distribution is well reproduced by the model in shape, but not in intensity, the model largely underestimating in the afternoon. Guidelines are proposed to improve the dispersion of airborne pollen by numerical prediction models.
AB - Pollen allergenicity plays an important role on human health and wellness. It is thus of large public interest to increase our knowledge of pollen grain behavior in the atmosphere (source, emission, processes involved during their transport, etc.) at fine temporal and spatial scales. First simulations with the Barcelona Supercomputing Center NMMB/BSC-CTM model of Platanus and Pinus dispersion in the atmosphere were performed during a 5-day pollination event observed in Barcelona, Spain, between 27 - 31 March, 2015. The simulations are compared to vertical profiles measured with the continuous Barcelona Micro Pulse Lidar system. First results show that the vertical distribution is well reproduced by the model in shape, but not in intensity, the model largely underestimating in the afternoon. Guidelines are proposed to improve the dispersion of airborne pollen by numerical prediction models.
UR - http://www.scopus.com/inward/record.url?scp=85045923176&partnerID=8YFLogxK
U2 - 10.1051/epjconf/201817605006
DO - 10.1051/epjconf/201817605006
M3 - Article
AN - SCOPUS:85045923176
SN - 2101-6275
VL - 176
JO - EPJ Web of Conferences
JF - EPJ Web of Conferences
M1 - 05006
ER -
