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The influence of the most frequent patterns of synoptic circulation on the dynamics of airborne pollen/spores recorded at the Barcelona Aerobiological Station (BCN) was analysed. Six pollen types (Platanus, Cupressaceae, Olea, Poaceae, Urticaceae and Amaranthaceae), and one fungal spore (Alternaria) were selected for their high allergenic effect in sensitive people. Six synoptic meteorological patterns were identified through cluster analysis of sea level pressure fields as the main responsible of the weather conditions in the Iberian Peninsula. The local meteorological conditions in Barcelona associated with each one of the synoptic types were also stablished. Different statistical methods were applied to analyse possible relationships between concentrations and timing of the recorded aerobiological particles and specific synoptic types. The study, focused in the 19-year period 2001-2019, shows that one of the scenarios, frequent in winter and linked to high stability and air-mass blockage, registered the highest mean and median values for Platanus and Cupressaceae, but it was not very relevant for the other taxa. It was also this scenario that turned out to be the most influent on the pollination timing showing a significant influence on the start occurrence of Urticaceae flowering and on the peak date of Platanus. On the other hand, the most frequent synoptic type in the period, relevant in spring and summer, was linked to sporadic episodes of levels considered to be of high risk of allergy to Platanus, Poaceae, and Urticaceae pollen, and Alternaria fungal spore. This synoptic pattern, characterized by the presence of the Azores anticyclone and the Atlantic low located in the north of the United Kingdom, was associated with high temperatures, low relative humidity and moderate winds from the NW in Barcelona. The identification of an interaction between synoptic meteorology and pollen/spore dynamics will allow better abatement measures, reducing adverse health effects on sensitive population.
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http://dx.doi.org/10.1016/j.scitotenv.2023.165337 | DOI Listing |
Proc Natl Acad Sci U S A
July 2025
Leipzig Institute for Meteorology, Leipzig 04103, Germany.
The summertime eddy-driven jet (EDJ) in the Southern Hemisphere is a critical mediator between regional climate and large-scale phenomena, guiding synoptic systems that shape weather patterns. Uncertainties in global climate models (GCMs)-particularly in projecting changes in remote drivers like tropical warming, stratospheric polar vortex strengthening, and asymmetric tropical Pacific warming-hinder predictions of EDJ trends and associated regional outcomes. In this study, we develop a causal framework that combines observations, reanalysis datasets, and storylines estimated from the Coupled Model Intercomparison Project (CMIP) projections to attribute past EDJ changes and predict plausible future trajectories.
View Article and Find Full Text PDFSci Rep
July 2025
Xinjiang Key Laboratory of Oasis Ecology, College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, China.
This study employs the PCT objective classification method to analyze 134 regional snowstorm events in northern Xinjiang (NX) during 1953-2022 using observational and reanalysis data, identifying four primary synoptic types that are all associated with polar vortex activity. This study investigated the snowstorm characteristics associated with the synoptic patterns, along with the features of upper- and lower-level jet streams and moisture transport. The results show that 66.
View Article and Find Full Text PDFAnn N Y Acad Sci
July 2025
Sea Institute, Federal University of São Paulo, UNIFESP, Santos, Brazil.
In the year 2023, the Earth experienced the highest near-surface temperature anomalies ever recorded until then. In addition, several extreme weather and climate events occurred around the world, including in Brazil. In this context, the primary objective of this study is to analyze the anomalous temperature and precipitation patterns observed in Brazil during 2023, along with the most significant extreme events.
View Article and Find Full Text PDFData Brief
June 2025
Air Quality Research Group, Department of Chemical and Environmental Engineering, Universidad Nacional de Colombia, Bogota, Colombia.
Atmospheric circulation over tropical mountainous regions is intrinsically complex, and frequently difficult to reproduce in simulation models, due to the convolution of synoptic, mesoscale, local convective, and topographically induced effects. Moreover, ground-level measurements are frequently scant and sparse. We present a 10-year meteorological dataset for the Cauca River valley (CRV) located in southwest Colombia and simulation results for various parameterization schemes.
View Article and Find Full Text PDFSci Rep
June 2025
Civil Engineering Department, Faculty of Engineering, Minia University, Minia, 61111, Egypt.
Soil temperature (ST) is one of the critical parameters in agricultural meteorology and significantly influences physical, chemical, and biological activities in the soil environment. One of the major challenges in agricultural studies is the limited number of synoptic stations for measuring ST. Novel data mining methods offer effective solutions for obtaining reliable estimations while reducing costs and improving accuracy.
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