Weather Types Research Articles

The injury epidemiology of adult riders in vehicle-two-wheeler crashes in China, Ningbo, 2011–2015

Introduction: We used road crashes between vehicles and two-wheelers from Yinzhou District Ningbo in 2011–2015 from the China In-depth Accident Study (CIDAS) as sample cases. The risk factors of different injury severity grades were analyzed. Method: The classification tree model was used to screen the possible interaction items, and the corresponding regression model was constructed according to the results of the tree model to explore the influencing factors of cyclist injury. Results: The road types, weather types, gender, age of the riders, and vehicle speed were significantly correlated with the dependent variables. The interaction effect of gender*road type, weather*age, weather*speed and speed*age were obtained through a tree model. Conclusions: The risk of male casualties at the crossroads was 3.31 times higher than that of female casualties at the straight roads. On sunny days, the risk of crash casualties in Ningbo was low, and the fatality risk when the speed reached 38 km/h was 10%. Under the interaction effect of weather and age, the fatality risk in cloudy/foggy and rainy days was almost coincident, and the serious risk in cloudy/foggy conditions was the highest. Practical applications: Through factor analysis, it is confirmed that there is interaction effect among the factors, and it can provide reference for relevant departments to formulate more targeted and effective governance strategies.

Weather Analysis of Flight Delay at Husein Sastranegara Airport

Flight is an activity that is very vulnerable to weather conditions. The accuracy of weather information strongly supports flight activities. The effects of bad weather on flights include flight delays and flight cancellations. Based on data on flight delays from the Directorate General of Air Transportation of the Ministry of Transportation from January to March 2019 at Husein Sastranegara Airport, it is known that 20-30% of flight delays are caused by weather constraints. To estimate flight delays based on weather forecasts, weather data analysis is carried out to determine the type of weather that is endangering flights and causing flight delays. The analysis was carried out using the K-NN and Random Forest algorithms

Aerosol Characteristics in the Near-Ground Layer of the Atmosphere of the City of Tomsk in Different Types of Aerosol Weather

Considering the wide range of variability of all aerosol characteristics (especially in the near-ground layer of the atmosphere near industrial centers), when creating a realistic empirical model of optical and microphysical characteristics, the optimal dividing of the total data array according to some multifactor signs is needed. In this paper, we analyze the main states of “dry” aerosol on the basis of the results of long-term regular measurements in the near-ground layer of the atmosphere near the city of Tomsk in 2000–2017. The following parameters were considered: aerosol number concentration and size distribution function, total and angular scattering coefficients, including the small-angle range 1.2° to 20°, mass concentration and size distribution of absorbing substances (equivalent black carbon), characteristics of the aerosol hygroscopic properties, and spectral aerosol extinction of radiation on an open long path in the wavelength range 0.45 to 3.9 µm. In our comprehensive study, we first proposed and developed an original approach (classification) to study the optical and microphysical properties of atmospheric aerosol of various physicochemical origins (background, smoke, smog, anthropogenic, etc.) based on dividing the entire data array into characteristic subarrays (types of aerosol weather), which differ from each other in a different combination of scattering and absorbing properties of particles. To divide the total data array into types of aerosol weather including “Background”, “Haze-S”, “Smog”, and “Smoke haze”, the values of the scattering coefficient of the dry aerosol matter σd(λ = 0.51 μm) = 100 Mm−1 and the ratio of the mass concentration of the absorbing substance to the mass concentration of submicron aerosol P = 0.05. The results showed that most of the seasonal average values of the aerosol parameters analyzed in the paper are statistically significantly different when comparing various characteristic types of scattering and absorbing atmospheric aerosol. The results of the research indicate that the application of the developed classification of types of aerosol weather for the analyzed optical and microphysical parameters of aerosol particles is quite effective and reasonable.

Medical and social aspects of global warming

The problem of global warming has been increasingly attracting attention. According to the World Meteorological Organization, the last four years have become the warmest in the history of a century of observations, which is a clear sign of ongoing climate change. As a result, various climatic cataclysms (downpours, typhoons, storms, floods, etc.) are increasingly observed. The climate change is caused by the accumulation of greenhouse gases in the atmosphere. In these circumstances, the most susceptible cities are those occupied by growing population. They suffer from the so-called «heat island effect». Climate change has been described as affecting the health of the planet’s population and people’s lifespan. Children are extremely sensitive to the threats posed by global climate change. The effects of climate change create certain weather situations and conditions. Using one of the weather classifications, we determined the frequency with which different weather types occurred during the 25-year period in the city of Ternopil. It turned out that in the context of global warming, the number of days with the type III weather increased dramatically. Therefore, when posing the question of the impact of current climatic conditions on human health, it is quite reasonable to identify changes in life processes in these meteorological situations. An assessment of psychoemotional state of young people showed worsening of mood, mental activity, interest in performing mental work, increasing anxiety in the type III weather. Attention, memory, thinking, and the latent period of complex visual-motor reaction also worsened in this type of weather. A study of the physical performance of swimmers showed its decrease in type III meteosituations. The respiratory system in young healthy individuals in the third type of weather responded by reducing the patency of the bronchi, its reserve capacity, the deterioration of blood oxygen saturation. At the same time, a decrease in the functional reserves of the cardiovascular system against the background of the imbalance of autonomous regulation of cardiac activity was observed. An increased vestibular sensitivity was revealed. Based on the obtained results, we believe that the study of the effect of global warming on the human body should be carried out taking into account not only one meteorological factor – temperature, but their complex in the form of weather types. Important medical and social issues of food security forecasting, drinking water supply are considered. Keywords: global warming, types of weather, health. For citation: Tsymbaliuk VI, Vadzyuk SN. Medical and social aspects of global warming. Journal of the National Academy of Medical Sciences of Ukraine. 2019;25(4):439–47.

Врахування макроклімату при проектуванні висотних біокліматичних будівель

Для вирішення задач біокліматичної висотної архітектури важливим є врахування кліматичних впливів. У статті на основі узагальнення досвіду будівництва висотних будівель у районах зі складними кліматичними умовами та аналізу досліджень впливу макроклімату при проектуванні запропоновано структурну схему утворення макрокліматичного середовища з визначенням факторів впливу при формуванні висотної біокліматичної архітектури. Надано визначення макрокліматичного середовища як об’єднання природних та антропогенних чинників, що уточнює макрокліматичну характеристику. Зроблено висновок, що дослідження макроклімату надає можливість при проектуванні враховувати комплекс кліматичних параметрів для визначення впливів на висотні біокліматичні будівлі.

Hydro-Meteorological Characterization of Major Floods in Spanish Mountain Rivers

Spain, one of the most mountainous countries in Europe, suffers from frequent river flooding due to specific climatic and topographic features. Many headwaters of the largest rivers in Spain are located in mountainous areas of mid-to-high elevation. These include the Pyrenees, the Central System, and the Cantabrian mountains, that have a sustained snowpack during the winter months. Most previous research on flood generation in Spain has focused on intense rainfall events, and the role of snowmelt has been ignored or considered marginal. In this paper we present a regional-scale study to quantify the relative importance of rainfall versus snowmelt in the largest floods recorded in mountain rivers in Spain during the last decades (1980–2014). We further analyzed whether catchments characteristics and weather types may favor the occurrence of rainfall or snowmelt induced floods. Results show that in 53% of the 250 analyzed floods the contribution of rainfall was larger than 90%, and in the rest of events snowmelt contribution was larger than 10%. Floods where snowmelt was the main contributor represented only 5% of the total events. The average contribution of snowmelt represents 18% of total runoff in floods that were analyzed. The role of snowmelt in floods, rather than triggering the event, was usually amplifying the duration of the event, especially after the peak flow was reached. In general, the importance of snowmelt in floods is greater in catchments with characteristics that favor snow accumulation. However, this does not apply to floods where contribution of snowmelt was larger than 90%, which tend to occur at catchments at mid-elevations that accumulate unusual amounts of snow that melt rapidly. Floods were more frequent under both cyclonic and anticyclonic synoptic situations over the Iberian Peninsula, as well as under advection of western and eastern flows. Our results contribute to the ongoing improvement of knowledge about the role of snow in the hydrology of Spanish rivers and on the importance of mountain processes on the hydrology of downstream areas.

Rainfall and Flooding in Coastal Tourist Areas of the Canary Islands (Spain)

Coastal spaces exploited for tourism tend to be developed rapidly and with a desire to maximise profit, leading to diverse environmental problems, including flooding. As the origin of flood events is usually associated with intense precipitation episodes, this study considers the general rainfall characteristics of tourist resorts in two islands of the Canary Archipelago (Spain). Days of intense rainfall were determined using the 99th percentile (99p) of 8 daily precipitation data series. In addition, the weather types that generated these episodes were identified, the best-fitting distribution functions were determined to allow calculation of probable maximum daily precipitation for different return periods, and the territorial and economic consequences of flood events were analysed. The results show highly irregular rainfall, with 99p values ranging 50–80 mm. The weather types associated with 49 days of flooding events were predominantly cyclonic and hybrid cyclonic. The Log Pearson III distribution function best fitted the data series, with a strong likelihood in a 100-year return period of rainfall exceeding 100 mm in a 24 h period. However, values below 30 mm have already resulted in significant flood damage, while intense rainfall events in the period 1998–2016 saw over 11.5 million euros paid out in damages for insured goods. Such flood-induced damages were found to be caused more by inadequate urban planning than by rainfall intensity.

A short-term solar radiation forecasting system for the Iberian Peninsula. Part 2: Model blending approaches based on machine learning

In this article we explore the blending of the four models (Satellite, WRF-Solar, Smart Persistence and CIADCast) studied in Part 1 by means of Support Vector Machines with the aim of improving GHI and DNI forecasts. Two blending approaches that use the four models as predictors have been studied: the horizon approach constructs a different blending model for each forecast horizon, while the general approach trains a single model valid for all horizons. The influence on the blending models of adding information about weather types is also studied. The approaches have been evaluated in the same four Iberian Peninsula stations of Part 1. Blending approaches have been extended to a regional context with the goal of obtaining improved regional forecasts. In general, results show that blending greatly outperforms the individual predictors, with no large differences between the blending approaches themselves. Horizon approaches were more suitable to minimize rRMSE and general approaches work better for rMAE. The relative improvement in rRMSE obtained by model blending was up to 17% for GHI (16% for DNI), and up to 15% for rMAE. Similar improvements were observed for the regional forecast. An analysis of performance depending on the horizon shows that while the advantage of blending for GHI remains more or less constant along horizons, it tends to increase with horizon for DNI, with the largest improvements occurring at 6 h. The knowledge of weather conditions helped to slightly improve further the forecasts (up to 3%), but only at some locations and for rRMSE.

AUTOMATIC COLLISION AVOIDANCE WITH MULTIPLE TARGETS, INCLUDING MANEUVERING ONES

Context. There is considered the task of automatic collision avoidance with multiple targets, including maneuvering ones. Theobject of the research is the process of automatic collision avoidance with multiple targets, including maneuvering ones. The subject of research is the method and algorithms that implement the process of automatic collision avoidance from multiple targets, including maneuvering ones.Objective. The purpose of the article is development a method and algorithms for automatic collision avoidance from multipletargets, including maneuvering ones, for the module of the onboard controller of the ship control system.Method. This goal is achieved by periodically measuring the true speed of the vessel and relative speeds of the vessel andtargets, averaging the measured information to remove noise, estimating the true speeds of the targets, building, for the obtained estimates of the true speeds of the targets, areas of allowable collision avoidance controls with each targets by numerical iteration of the collision avoidance parameters (speed and course) at the nodes of a given grid in the area of their possible changes, determining the relative speeds at the nodes of the grid ship and target movement and checking that the relative speeds don’t belong to sectors of dangerous courses, building a general area of acceptable collision avoidance controls with all targets by combining areas of allowable collision avoidance controls with each target, choosing collision avoidance parameters from the general area of acceptable collision avoidance controls according to specified criteria. This allows to diverge from multiple targets, including maneuvering ones, in a fully automatic mode. Changing the criteria for selecting discrepancy parameters leads to a change in the ship’s behavior in case of discrepancy without changing the program code.Results. The developed method and algorithms are implemented in software and investigated by solving the problem of collisionavoidance from multiple targets, including maneuvering ones, in a fully automatic mode in a closed circuit with the simulator NaviTrainer 5000 for various types of ships, targets, navigation areas and weather conditions.Conclusions. The experiments confirmed the performance of the proposed method and algorithms and allow to recommend themfor practical use in the development of modules for automatic collision avoidance with multiple targets, including maneuvering ones, of the onboard controller of the ship control system.

North Atlantic Integrated Water Vapor Transport—From 850 to 2100 CE: Impacts on Western European Rainfall

AbstractMoisture transport over the northeastern Atlantic Ocean is an important process governing precipitation distribution and variability over western Europe. To assess its long-term variability, the vertically integrated horizontal water vapor transport (IVT) from a long-term climate simulation spanning the period 850–2100 CE was used. Results show a steady increase in moisture transport toward western Europe since the late-nineteenth century that is projected to expand during the twenty-first century under the RCP8.5 scenario. The projected IVT for 2070–99 significantly exceeds the range given by interannual–interdecadal variability of the last millennium. Changes in IVT are in line with significant increases in tropospheric moisture content, driven by the concurrent rise in surface temperatures associated with the anthropogenic climate trend. On regional scales, recent and projected precipitation changes over the British Isles follow the global positive IVT trend, whereas a robust precipitation decrease over Iberia is identified in the twenty-first century, particularly during autumn. This indicates a possible extension of stable and dry summer conditions and a decoupling between moisture availability and dynamical forcing. The investigation of circulation features reveals a mean poleward shift of moisture corridors and associated atmospheric rivers. In particular, in Iberia, a significant increase in the frequency of dry weather types is observed, accompanied by a decrease in the frequency of wet types. An opposite response is observed over the British Isles. These changes imply a stronger meridional north–south dipole in terms of pressure and precipitation distributions, enhancing the transport toward central Europe rather than to Iberia.

Comparative assessment of the microclimate in the «Cape Martyan» Nature Reserve according to two weather stations

A comparative assessment of the microclimate in the «Cape Martyan» Nature Reserve according to meteorological observations in meteorological station "Lavrovoe" and the climate agrometeorological station "Nikitsky sad" is given. As a result of the conducted researches homogeneity and spatio-temporal connectedness of climatic parameters within the investigated territory is established. Statistically significant differences in average and maximum values of air temperature, precipitation and relative humidity between the meteorological station "Lavrovoe" and the climate agrometeorological station "Nikitsky sad" were not revealed. This indicates to the representativeness of the data agrometeorological station for the territory of the «Cape Martyan» Nature Reserve. Statistically significant differences established for minimum air temperatures and relative humidity during the cold period should be taken into account when conducting research in the Eastern part of the Nature Reserve. It was found that the wind regime in the area of the observations by meteorological station "Lavrovoe" in the night period is characterized by air drainage phenomena and the predominance of breeze circulation in the warm season, which largely determine the microclimatic differences between observed meteorological values by station "Lavrovoe" and by station "Nikitsky sad", especially when the radiation weather type.

Effects of regional vegetation cover degradation and climate change on dusty weather types

Dust sources of west and south west of Iran are mainly from interior lands and neighbouring countries such as Iraq, Syria, Saudi Arabia, and Kuwait which are influenced by climate fluctuations and land use/land cover (LULC) degradation. The aim of this research is to investigate the impacts of regional vegetation cover degradation (RVCD) and climate change on dusty weather types in Zagros Mountain in the west of Iran. The RVCD was evaluated using MODIS satellite image series from 2000 to 2016 and its trend was predicted by Markov chain test for 2030, 2060, and 2100. Daily data of nine climatic variables were used to identify the weather types (WTs) using principle component analysis and cluster analysis in the baseline period. The results showed that four principle components could account for 93 percent of data variances. The extreme temperatures, precipitation, and sunshine hours were predicted using HADCM3 and LARS-WG models under A1B scenario and wind speed and relative humidity computed using Man Kendall test to analyse the WTs from the past to the future. The findings indicated that six WTs could be observed of which about 77% and 84% of dusty days were recorded in Dusty WTs, including WT3 (warm/dry/windy) and WT4 (hot/very dry) during 1982–2000 and 2000–2016, respectively. Moreover, the frequency of Dusty WTs (WT3 and WT4) with the highest temperature and dryness in warm season will increase till 2060.

Automatic Precipitation Measurement Based on Raindrop Imaging and Artificial Intelligence

Rainfall measurement is subjected to various uncertainties due to the complexity of measurement techniques and atmosphere characteristics associated with weather type. Thus, this article presents a video-based disdrometer to analyze raindrop images by introducing artificial intelligence technology for the rainfall rate. First, a high-speed CMOS camera is integrated into a planar LED as a backlight source for appropriately acquiring falling raindrops in different positions. The falling raindrops can be illuminated and used for further image analysis. Algorithms developed for raindrop detection and trajectory identification are employed. In a field test, a rainfall event of 42 continuous hours has been measured by the proposed disdrometer that is validated against a commercial PARSIVEL2 disdrometer and a tipping bucket rain gauge at the same area. In the evaluation for 5-min rainfall images, the results of the trajectory identification are within the precision of 87.8%, recall of 98.4%, and F1 score of 92.8%, respectively. Furthermore, the performance exhibits that the rainfall rate and raindrop size distribution (RSD) obtained by the proposed disdrometer are remarkably consistent with those of PARSIVEL2 disdrometer. The results suggest that the proposed disdrometer based on the continuous movements of the falling raindrops can achieve accurate measurements and eliminate the potential errors effectively in the real-time monitoring of rainfall.

Wind Power Persistence Characterized by Superstatistics

Mitigating climate change demands a transition towards renewable electricity generation, with wind power being a particularly promising technology. Long periods either of high or of low wind therefore essentially define the necessary amount of storage to balance the power system. While the general statistics of wind velocities have been studied extensively, persistence (waiting) time statistics of wind is far from well understood. Here, we investigate the statistics of both high- and low-wind persistence. We find heavy tails and explain them as a superposition of different wind conditions, requiring q-exponential distributions instead of exponential distributions. Persistent wind conditions are not necessarily caused by stationary atmospheric circulation patterns nor by recurring individual weather types but may emerge as a combination of multiple weather types and circulation patterns. This also leads to Fréchet instead of Gumbel extreme value statistics. Understanding wind persistence statistically and synoptically may help to ensure a reliable and economically feasible future energy system, which uses a high share of wind generation.

The Impacts of Automation on Present Weather–Type Observing Capabilities across the Conterminous United States

AbstractIn the 1990s, the National Weather Service and the Federal Aviation Administration began deploying the Automated Surface Observing Systems (ASOS). These systems provided the capability to report real-time weather observations, including some types of present weather, as frequently as once every minute. Over 900 of these ASOS stations were installed across the United States, replacing most of the human observers. Despite the benefits offered, many issues were noted, including the inability to discern and report certain precipitation types, particularly drizzle, freezing drizzle, and ice pellets. These and other issues resulted in human observers being retained at roughly 130 ASOS airport locations around the country where high-quality weather observations are essential because of air traffic volume or other factors. The human observers at these locations work in conjunction with the ASOS, manually augmenting the automated weather observations when the ASOS provides erroneous data or when an ASOS observation is missing. To assess the impact of automation on present weather observations, the differences in present weather reports for two decades will be highlighted: 1979–88 (when only human observers reported the present weather observations) and 2005–14 (after the full ASOS network became operational). Comparisons between the decades will be further analyzed to determine the differences at the ASOS locations at which human observers were retained in the later decade, as well as the ASOS locations at which no humans were retained. Both the positive and negative impacts of automation, with an emphasis on aviation impacts, are presented.

Time‐Varying Emulator for Short and Long‐Term Analysis of Coastal Flood Hazard Potential

AbstractRising seas coupled with ever increasing coastal populations present the potential for significant social and economic loss in the 21st century. Relatively short records of the full multidimensional space contributing to total water level coastal flooding events (astronomic tides, sea level anomalies, storm surges, wave run‐up, etc.) result in historical observations of only a small fraction of the possible range of conditions that could produce severe flooding. The Time‐varying Emulator for Short‐ and Long‐Term analysis of coastal flood hazard potential is presented here as a methodology capable of producing new iterations of the sea‐state parameters associated with the present‐day Pacific Ocean climate to simulate many synthetic extreme compound events. The emulator utilizes weather typing of fundamental climate drivers (sea surface temperatures, sea level pressures, etc.) to reduce complexity and produces new daily synoptic weather chronologies with an auto‐regressive logistic model accounting for conditional dependencies on the El Niño Southern Oscillation, the Madden‐Julian Oscillation, seasonality, and the prior two days of weather progression. Joint probabilities of sea‐state parameters unique to simulated weather patterns are used to create new time series of the hypothetical components contributing to synthetic total water levels (swells from multiple directions coupled with water levels due to wind setup, temperature anomalies, and tides). The Time‐varying Emulator for Short‐ and Long‐Term analysis of coastal flood hazard potential reveals the importance of considering the multivariate nature of extreme coastal flooding, while progressing the ability to incorporate large‐scale climate variability into site specific studies assessing hazards within the context of predicted climate change in the 21st century.

Quantifying the impact of synoptic circulation patterns on ozone variability in northern China from April to October 2013–2017

Abstract. The characteristics of ozone variations and the impacts of synoptic and local meteorological factors in northern China were quantitatively analyzed during the warm season from 2013 to 2017 based on multi-city in situ ozone and meteorological data as well as meteorological reanalysis. The domain-averaged maximum daily 8 h running average O3 (MDA8 O3) concentration was 122±11 µg m−3, with an increase rate of 7.88 µg m−3 yr−1, and the three most polluted months were closely related to the variations in the synoptic circulation patterns, which occurred in June (149 µg m−3), May (138 µg m−3) and July (132 µg m−3). A total of 26 weather types (merged into five weather categories) were objectively identified using the Lamb–Jenkinson method. The highly polluted weather categories included the S–W–N directions (geostrophic wind direction diverts from south to north), low-pressure-related weather types (LP) and cyclone type, which the study area controlled by a low-pressure center (C), and the corresponding domain-averaged MDA8 O3 concentrations were 122, 126 and 128 µg m−3, respectively. Based on the frequency and intensity changes of the synoptic circulation patterns, 39.2 % of the interannual increase in the domain-averaged O3 from 2013 to 2017 was attributed to synoptic changes, and the intensity of the synoptic circulation patterns was the dominant factor. Using synoptic classification and local meteorological factors, the segmented synoptic-regression approach was established to evaluate and forecast daily ozone variability on an urban scale. The results showed that this method is practical in most cities, and the dominant factors are the maximum temperature, southerly winds, relative humidity on the previous day and on the same day, and total cloud cover. Overall, 41 %–63 % of the day-to-day variability in the MDA8 O3 concentrations was due to local meteorological variations in most cities over northern China, except for two cities: QHD (Qinhuangdao) at 34 % and ZZ (Zhengzhou) at 20 %. Our quantitative exploration of the influence of both synoptic and local meteorological factors on interannual and day-to-day ozone variability will provide a scientific basis for evaluating emission reduction measures that have been implemented by the national and local governments to mitigate air pollution in northern China.

Connecting Extreme Heat Events to Climate Change: Media Coverage of Heat Waves and Wildfires

ABSTRACTThis research tests the popular press assumption that media are not discussing climate change in coverage of heat waves and wildfires. Change over time in English-language media coverage is assessed, from 2013 to 2018, including 37 news outlets from five countries, with the addition of Agence France-Presse and Climatewire. Mentions of climate issues increased for both types of extreme weather. Climatewire provided the highest degree of climate change issue attention. Elite, climate-specialist news outlets gave more attention to climate issues in both heat wave and wildfire reporting across the years studied. The 2013–2018 time period saw an uptick in media coverage of heat waves, particularly in Chinese English-language media.

Environmental factors and asthma hospitalization in Montreal, Canada, during spring 2006\u20132008: a synergy perspective

The aim of this study is to analyze the synergy between environmental factors (pollutant, allergenic birch pollen, weather) and its relationship with asthma hospitalization in Montreal, Canada. The data is stratified into weather types and the study restricted to spring season to limit the impact of multiple confounders. Results shows that the daily count of asthma hospitalization (spring 2006–2008) in situation of warm fronts or trowals (daily average of 3.78 counts, CI 95% 2.95–4.61) was much higher (p < 0.001) than in other situations (2.49 counts, CI 95% 2.37–2.71). Moreover, the explained variance of asthma hospitalization due to air pollution rises from about less than 7% (in the case of no stratification) to about 28% (R = 0.53, p < 0.05 with stratification). Statistical tests for interaction and overall results point towards a synergy between environmental factors which exacerbates asthma. A new concept named frontal asthma is proposed to explain several results found here and in the open literature.

Electrical characterization of circulation weather types in Northern Spain based on atmospheric nanoparticles measurements: A pilot study

The electrical component of the atmosphere is a key element to understand bio-effects of atmospheric processes. In this paper an attempt was made to find possible interactions between air masses arriving in Santander, Northern Spain, and electrical properties of nanoparticles measured in this zone. A methodological approach is proposed to characterize electrically the predominant weather types in the study area. An electrical low pressure impactor device (ELPI®+) was used to measure atmospheric particles net charge and particle net charge distribution in real time in July 2018, among other parameters. Data from two specific channels [0.054–0.071 μm] and [2.5–3.0 μm] has been initially used. Atmospheric circulation was defined attending to two, subjective and objective, weather type classifications. Back trajectories of nanoparticles were also computed by the Hybrid Single-Particle Lagrangian Integrated Trajectory model. Results confirm that atmospheric nanoparticles charge varies according to their size. The highest mean absolute charge is associated with local circulation in Santander for both channels. The studied nanoparticles show a quicker reaction to weather conditions than microparticles. They also have a significant correlation with meteorological variables for 18 synoptic groups found, but humidity. Microparticles [2.5–3.0 μm] are negatively related with air humidity, mainly with S-SE circulation pattern.