Do local perceptions of climate variability and changes correspond to observed climate changes? – a comparative study from Nepal as one of the most climate vulnerable countries

This study explored people’s perceptions of climate change by conducting interviews and focus group discussions with local residents of three ecological regions of Nepal, i.e., Mountain, Mid-hills and Low-land. Climatic measurements from meteorological stations of the regions were acquired for the period of 1988 to 2018. We compared the people’s perception with trends and variabilities of observed temperature and rainfall patterns. The results showed that over the last three decades, temperature and precipitation trends, and variability between regions varied largely corroborating with the local experiences. The temperature increased in Mountain, Mid-hills, and Low-land by 0.061° C yr−1, 0.063° C yr−1 and 0.017° C yr−1 respectively. On the contrary, rainfall reduced by −9.7 mm yr−1, −3.6 mm yr−1, and −0.04 mm yr−1 for the regions respectively. While the amount of rainfall decrease observed in the Mountain was highest, its variability was found relatively low; and vice-versa in Low-land. Approximately 88% interviewees perceived temperature rise, and 74% noticed rainfall decline. Local residents linked these changes with their livelihood activities and exemplified with, for example, crop’s quality and quantity; and birds’ migration. The results indicate that local understandings complement the scarce observational data and provides a reliable and additional foundations to determine changes in climatic variables. Moreover, the result infers that the small changes in climate variables have noticeable implications on human behavior change. Therefore, besides active participation of local communities, integrating local understanding is crucial in developing climate change related policies and strategies at local and national levels.

Exploratory investigation of return air temperature sensor measurement errors in refrigerated display cabinets

By introducing doors on refrigerated display cabinets, the energy demand is substantially decreased. However, there exist significant discrepancies in temperature readings between visually identical refrigerated display cabinets equipped with doors. This study explores the cause and consequences of these differences. The exploratory methodology used within the study has used CFD simulations combined with laboratory experiments to conclude that there exists a thermal gradient in the area of the return air temperature sensor causing these discrepancies to occur. Thus, the temperature sensors position within the thermal gradient affects the perceived temperature of the control system and thereby the refrigeration strategy adopted by it. To follow up on the consequences of this observed issue, two field studies were performed to investigate the effects and occurrence of temperature sensors within the thermal gradient. Through this, it was concluded that by moving the return air sensors away from the thermal gradient, the refrigerated display cabinets were performing more uniformly as well as with a reduced heat extraction demand. Additionally, from the field study investigating the occurrence, it was found that 80.5% of the 221 reviewed refrigerated display cabinets had sensors placed in a zone where a thermal gradient exists.

Heat and fraud: evaluating how room temperature influences fraud likelihood

Despite the considerable amount of research devoted to understanding fraud, few studies have examined how the physical environment can influence the likelihood of committing fraud. One recent study found a link between room brightness and occurrence of human fraud behaviors. Therefore, the present study aims to investigate how temperature may affect fraud. Based on a power analysis using the effect size observed in a pilot study, we recruited 105 participants and randomly divided them into three temperature groups (warm, medium, and cool). We then counted fraud behaviors in each group and tested for potential significant differences with a Kruskal–Wallis test. Additionally, we used a correlation analysis to determine whether the perceived temperature affected fraud. As a result, regardless of participants’ subjective sensory experience or their physical environment, we did not find that temperature-related factors influence the incidence of fraud. We discussed the potential reason for the results and suggested directions for future research.

Human-perceived temperature changes in South Korea and their association with atmospheric circulation patterns

This study investigates the spatiotemporal characteristics of human-perceived temperature (HPT) data, which describe the joint effects of temperature and humidity on the human body, and examines the related large-scale atmospheric circulation patterns for the summer season (July–August) in South Korea using trend and composite analyses. The increasing trend of HPT was stronger than that of the maximum, mean, and minimum temperatures during 1981–2018. There was an abrupt change in HPT between 1981–2009 and 2010–2018, which is likely caused by the northward upper-level subtropical jet, strengthened downward motion, anomalous anticyclones around South Korea, and increased sea surface temperature over the western North Pacific (WNP), which are related to the enhancement and western expansion of the western North Pacific subtropical high (WNPSH). These results highlight the importance of the activity of the WNPSH in the variability of HPT in South Korea. When the western edge of the WNPSH is located in the northwest, a positive geopotential height anomaly at 500 hPa is centered over Korea, which is associated with high temperatures and low relative humidity. The southwestern extension of the WNPSH modifies the wind circulation pattern and brings warm and moist air from the West Sea along the ridge-line of the WNPSH. Eventually, it leads to extreme HPT, associated with high relative humidity and temperature over South Korea, particularly in the southern part of the country. Therefore, we concluded that monitoring and predicting the location of WNPSH and understanding the mechanism and factors influencing the movement of WNPSH under global warming are necessary for predicting and coping with extreme HPT.

Heat and fraud: Evaluating how room temperature influences fraud likelihood

Despite the considerable amount of research devoted to understanding fraud, few studies have examined how the physical environment can influence the likelihood of committing fraud. One recent study found a link between room brightness and occurrence of human fraud behaviors. Therefore, the present study aims to investigate how temperature may affect fraud. Based on a power analysis using the effect size observed in a pilot study, we recruited 105 participants and randomly divided them into three temperature groups (warm, medium, and cool). We then counted fraud behaviors in each group and tested for potential significant differences with a Kruskal-Wallis test. Additionally, we used a correlation analysis to determine whether the perceived temperature affected fraud. As a result, regardless of participants’ subjective sensory experience or their physical environment, we did not find that temperature-related factors influence the incidence of fraud. We discussed the potential reason for the results, and suggested directions for future research.

Event-Based Heat-Related Risk Assessment Model for South Korea Using Maximum Perceived Temperature, Wet-Bulb Globe Temperature, and Air Temperature Data

This study aimed to assess the heat-related risk (excess mortality rate) at six cities, namely, Seoul, Incheon, Daejeon, Gwangju, Daegu, and Busan, in South Korea using the daily maximum perceived temperature (PTmax), which is a physiology-based thermal comfort index, the wet-bulb globe temperature, which is meteorology-based thermal comfort index, and air temperature. Particularly, the applicability of PTmax was evaluated using excess mortality rate modeling. An event-based heat-related risk assessment model was employed for modeling the excess mortality rate. The performances of excess mortality rate models using those variables were evaluated for two data sets that were used (training data, 2000–2016) and not used (test data, 2017–2018) for the construction of the assessment models. Additionally, the excess mortality rate was separately modeled depending on regions and ages. PTmax is a good temperature indicator that can be used to model the excess mortality rate in South Korea. The application of PTmax in modeling the total mortality rate yields the best performances for the test data set, particularly for young people. From a forecasting perspective, PTmax is the most appropriate temperature indicator for assessing the heat-related excess mortality rate in South Korea.

The Heat Health Warning System in Germany—Application and Warnings for 2005 to 2019

During intense heat episodes, the human population suffers from an increased morbidity and mortality. In order to minimize such negative health impacts, the general public and the public health authorities are informed and warned by means of an advanced procedure known as a “heat health warning system” (HHWS). It is aimed at triggering interventions and at taking preventive measures. The HHWS in Germany has been in operation since 2005. The present work is aimed at showing the updated structure of an advanced HHWS that has been developed further several times during its 15 years of operation. This is to impart knowledge to practitioners about the concept of the system. In Germany, dangerous heat episodes are predicted on the basis of the numerical weather forecast. The perceived temperature as an appropriate thermal index is calculated and used to assess the levels of heat stress. The thermo-physiologically based procedure contains variable thresholds taking into account the short time acclimatization of the people. The forecast system further comprises the nocturnal indoor conditions, the specific characteristics of the elderly population, and the elevation of a region. The heat warnings are automatically generated, but they are published with possible adjustments and a compulsory confirmation by the biometeorology forecaster. Preliminary studies indicate a reduction in the heat related outcomes. In addition, the extensive duration of the strongest heat wave in summer 2018, which lasted three weeks, highlights the necessity of the HHWS to protect human health and life.