scholarly journals Adverse Weather Evokes Nostalgia

2018 ◽  
Vol 44 (7) ◽  
pp. 984-995 ◽  
Author(s):  
Wijnand A. P. van Tilburg ◽  
Constantine Sedikides ◽  
Tim Wildschut

Four studies examined the link between adverse weather and the palliative role of nostalgia. We proposed and tested that (a) adverse weather evokes nostalgia (Hypothesis 1); (b) adverse weather causes distress, which predicts elevated nostalgia (Hypothesis 2); (c) preventing nostalgia exacerbates weather-induced distress (Hypothesis 3); and (d) weather-evoked nostalgia confers psychological benefits (Hypothesis 4). In Study 1, participants listened to recordings of wind, thunder, rain, and neutral sounds. Adverse weather evoked nostalgia. In Study 2, participants kept a 10-day diary recording weather conditions, distress, and nostalgia. We also obtained meteorological data. Adverse weather perceptions were positively correlated with distress, which predicted higher nostalgia. Also, adverse natural weather was associated with corresponding weather perceptions, which predicted elevated nostalgia. (Results were mixed for rain.) In Study 3, preventing nostalgia (via cognitive load) increased weather-evoked distress. In Study 4, weather-evoked nostalgia was positively associated with psychological benefits. The findings pioneer the relevance of nostalgia as source of comfort in adverse weather.

2015 ◽  
Vol 12 (1) ◽  
pp. 163-169 ◽  
Author(s):  
V. Rillo ◽  
A. L. Zollo ◽  
P. Mercogliano

Abstract. Adverse meteorological conditions are one of the major causes of accidents in aviation, resulting in substantial human and economic losses. For this reason it is crucial to monitor and early forecast high impact weather events. In this context, CIRA (Italian Aerospace Research Center) has implemented MATISSE (Meteorological AviaTIon Supporting SystEm), an ArcGIS Desktop Plug-in able to detect and forecast meteorological aviation hazards over European airports, using different sources of meteorological data (synoptic information, satellite data, numerical weather prediction models data). MATISSE presents a graphical interface allowing the user to select and visualize such meteorological conditions over an area or an airport of interest. The system also implements different tools for nowcasting of meteorological hazards and for the statistical characterization of typical adverse weather conditions for the airport selected.


2004 ◽  
Vol 115 (1-3) ◽  
pp. 27-31 ◽  
Author(s):  
Perri Zeitz Ruckart ◽  
Julie Borders ◽  
John Villanacci ◽  
Richard Harris ◽  
Melissa Samples-Ruiz

2021 ◽  
Vol 10 (1) ◽  
pp. e51610110587
Author(s):  
Higor dos Santos Alves ◽  
Ana Carolina Vasques Freitas

The rates of atmospheric pollution are increasing in world over the years, which makes this topic more and more concerning. Weather conditions, associated with anthropogenic factors, play a fundamental role in modifying the air quality. In this context, this article aims to analyze the influence of meteorological factors during critical episodes of air pollution in the city of Itabira – Minas Gerais. Hourly air quality and meteorological data, provided by the Municipal Environment Secretariat (SMMA) of the Itabira City Hall, were used in this analysis. A selection of the critical events was made and, after that, the composites and daily anomalies for each event were calculated. The results obtained showed that in the critical days of pollution negative anomalies of precipitation, atmospheric pressure, relative humidity and wind speed were observed. For temperature, solar radiation and wind direction the anomalies are positive during critical days. In terms of emitting sources, there has been an increase in the vehicle fleet since 2014, presenting a positive trend of 1.151 vehicles per year. In addition, a number of 111 fire outbreaks were observed on the most critical day of all events. It is important to highlight the role of air quality control and monitoring, together with the analysis of meteorological conditions, as, currently, the maximum values established by legislation do not include changes in weather conditions, that can worsen air quality and harm the health of the population.


Author(s):  
Mark L. Harvey ◽  
Victoria MacPhee

AbstractEmerging scientific consensus reveals that spending time outdoors promotes wellness. However, several forces impede time spent outdoors, such as opportunity, safety, and adverse weather. While uncomfortable weather intuitively decreases time outdoors, acclimatization research suggests a counterintuitive process: outdoor exposure enhances physiological adaption to adverse weather, thereby increasing perceived comfort in subsequent outings and even during a single outing in some situations, which, in turn, increases time outdoors. Therefore, this study preliminarily investigated whether time spent outdoors is associated with perceptions of weather and ambient temperature, apart from actual weather. This study attempted to isolate the role of self-reported weather-and thermo-comfort in predicting time spent outdoors by controlling for motivational and social factors. Residing in the same locale, participants were exposed to identical weather conditions. To enhance recall accuracy, participants daily reported time spent outdoors and weather- and thermo-comfort across a 7-day period, producing 175 time-comfort entries. Cox regression analyses show that greater perceived comfort with weather and greater perceived comfort with the temperature are associated with significantly more time spent outdoors, adjusting for motivational and social factors. Results also show that participants who wanted to go outdoors, compared to those who had to go outdoors, reported significantly greater weather comfort. Physiological and other relevant research findings on the human relationship with weather contextualize the study’s rationale and results.


2012 ◽  
Vol 188 ◽  
pp. 300-307
Author(s):  
De Ping Ding ◽  
Zhi Cong Yin ◽  
Xun Li ◽  
Zhuang Xie

Abstract. Based on the monthly datasets, including the number of traffic accidents, casualties and meteorological data, the relationship between the traffic accidents and meteorological conditions is studied. The results are as follows: (1) There are two peaks of the number of traffic accidents, which are the saddle-shaped peak from Apr to Jun and the second peak in Oct respectively. The number of traffic accidents in February is the least. The temporal distribution of the casualty is different from that of traffic accident. Most casualties happened in Jul. and the second in Apr. and Oct. The susceptibility of traffic accident and casualty in Hebei, Beijing and Tianjin decreased successionally from high to low. (2) A new result is obtained: in comparison with the number of traffic accidents, the correlation between meteorological condition and casualty is higher. The main reason is that the adverse weather conditions always cause drivers fail to control the vehicle or to make right decision. Therefore, the accident causing casualty should be focused on while the monthly weather-related accident is discussed. (3) The correlation coefficient between the number of casualty and precipitation or relative humidity is significantly positive. Otherwise, the correlation coefficient between the number of casualty and visibility or pressure is significantly negative.


2021 ◽  
Author(s):  
Mário Gonçalves ◽  
Malik Amraoui ◽  
José Laranjo ◽  
Mário Pereira

<p>The chestnut trees are well adaptated to temperate and humid climates, with moderate annual thermal contrast and without long and severe summer droughts. Bioclimatic studies suggest that chestnut trees have special needs, including at least six months with average monthly air temperature above 10 ⁰C, total annual precipitation of 800 – 900 mm, and 25% of annual precipitation in summer. Weather is also determinant in the phenology of the species. For example, the suitable average air temperature range is: 13 – 15⁰C to initiate the phenological activity, 18 – 20⁰C for flowering, and 20 – 22⁰C for maturation. Therefore chestnut production is highly affected by adverse weather conditions and can be severely reduced by the occurrence of extreme weather/climate extremes: late frosts, heat waves, heavy rainfall, wind gusts, maximum air temperature lower than 25⁰C during flowering or above 32⁰C, which cause thermoinhibition of vegetative activity. Thus, it is important to characterize the chestnut producing regions in present and future climate and estimate how, when and where the weather conditions will be maintained or changed. For this study we used meteorological data from ERA5 for the 1981 – 2010 period and several GCM-RCM simulations from CORDEX Bias-adjusted RCM data for 2011 – 2100 period to assess the climate for current and two future scenarios (RCP 4.5 and RCP 8.5). The meteorological variables selected for this study have been identified in previous studies as having the greatest influence in the phenological activity of the chestnut tree and on the chestnut productivity. The results include the identification of the regions where: (i) the variables will have significantly different statistical distributions in the future; (ii) will be necessary to adopt hazard risk management and climate adaptation measures, including substitution by other varieties more adapted to future conditions or the development of genetic improvement programs; and, (iii) the identification of new production areas.</p>


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
K. Pugh ◽  
M. M. Stack

AbstractErosion rates of wind turbine blades are not constant, and they depend on many external factors including meteorological differences relating to global weather patterns. In order to track the degradation of the turbine blades, it is important to analyse the distribution and change in weather conditions across the country. This case study addresses rainfall in Western Europe using the UK and Ireland data to create a relationship between the erosion rate of wind turbine blades and rainfall for both countries. In order to match the appropriate erosion data to the meteorological data, 2 months of the annual rainfall were chosen, and the differences were analysed. The month of highest rain, January and month of least rain, May were selected for the study. The two variables were then combined with other data including hailstorm events and locations of wind turbine farms to create a general overview of erosion with relation to wind turbine blades.


Author(s):  
Laura J. Bianchi ◽  
Alan Kingstone ◽  
Evan F. Risko

Abstract The effect of cognitive load on social attention was examined across three experiments in a live pedestrian passing scenario (Experiments 1 and 2) and with the same scenario presented as a video (Experiment 3). In all three experiments, the load was manipulated using an auditory 2-back task. While the participant was wearing a mobile eye-tracker, the participant’s fixation behavior toward a confederate was recorded and analyzed based on temporal proximity from the confederate (near or far) and the specific regions of the confederate being observed (i.e., head or body). In Experiment 1 we demonstrated an effect of cognitive load such that there was a lower proportion of fixations and time spent fixating toward the confederate in the load condition. A similar pattern of results was found in Experiment 2 when a within-subject design was used. In Experiment 3, which employed a less authentic social situation (i.e., video), a similar effect of cognitive load was observed. Collectively, these results suggest attentional resources play a central role in social attentional behaviors in both authentic (real-world) and less authentic (video recorded) situations.


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