Specific Meteorological Variables Research Articles

Spatial analysis of the prevalence of abdominal obesity in middle-aged and older adult people in China: exploring the relationship with meteorological factors based on gender differences.

In recent years, the incidence of abdominal obesity among the middle-aged and older adult population in China has significantly increased. However, the gender disparities in the spatial distribution of abdominal obesity incidence and its relationship with meteorological factors among this demographic in China remain unclear. This gap in knowledge highlights the need for further research to understand these dynamics and inform targeted public health strategies. This study utilized data from the 2015 China Health and Retirement Longitudinal Study (CHARLS) to analyze the incidence of abdominal obesity among the middle-aged and older adult population in China. Additionally, meteorological data were collected from the National Meteorological Information Center. Using Moran's I index and Getis-Ord Gi* statistical methods, the spatial distribution characteristics of abdominal obesity incidence were examined. The influence of various meteorological factors on the incidence of abdominal obesity in middle-aged and older adult males and females was investigated using the q statistic from the Geodetector method. Furthermore, Multi-Scale Geographically Weighted Regression (MGWR) analysis was employed to explore the impact of meteorological factors on the spatial heterogeneity of abdominal obesity incidence from a gender perspective. The spatial distribution of abdominal obesity among middle-aged and older adult individuals in China exhibits a decreasing trend from northwest to southeast, with notable spatial autocorrelation. Hotspots are concentrated in North and Northeast China, while cold spots are observed in Southwest China. Gender differences have minimal impact on spatial clustering characteristics. Meteorological factors, including temperature, sunlight, precipitation, wind speed, humidity, and atmospheric pressure, influence incidence rates. Notably, temperature and sunlight exert a greater impact on females, while wind speed has a reduced effect. Interactions among various meteorological factors generally demonstrate bivariate enhancement without significant gender disparities. However, gender disparities are evident in the influence of specific meteorological variables such as annual maximum, average, and minimum temperatures, as well as sunlight duration and precipitation, on the spatial heterogeneity of abdominal obesity incidence. Meteorological factors show a significant association with abdominal obesity prevalence in middle-aged and older adults, with temperature factors playing a prominent role. However, this relationship is influenced by gender differences and spatial heterogeneity. These findings suggest that effective public health policies should be not only gender-sensitive but also locally adapted.

The “urban meteorology island”: a multi-model ensemble analysis

Abstract. Cities and urban areas are well-known for their impact on meteorological variables and thereby modification of the local climate. Our study aims to generalize the urban-induced changes in specific meteorological variables by introducing a single phenomenon – the urban meteorology island (UMI). A wide ensemble of 24 model simulations with the Weather Research and Forecasting (WRF) regional climate model and the Regional Climate Model (RegCM) on a European domain with 9 km horizontal resolution were performed to investigate various urban-induced modifications as individual components of the UMI. The results show that such an approach is meaningful, because in nearly all meteorological variables considered, statistically significant changes occur in cities. Besides previously documented urban-induced changes in temperature, wind speed and boundary-layer height, the study is also focused on changes in cloud cover, precipitation and humidity. An increase in cloud cover in cities, together with a higher amount of sub-grid-scale precipitation, is detected on summer afternoons. Specific humidity is significantly lower in cities. Further, the study shows that different models and parameterizations can have a strong impact on discussed components of the UMI. Multi-layer urban schemes with anthropogenic heat considered increase winter temperatures by more than 2 ∘C and reduce wind speed more strongly than other urban models. The selection of the planetary-boundary-layer scheme also influences the urban wind speed reduction, as well as the boundary-layer height, to the greatest extent. Finally, urban changes in cloud cover and precipitation are mostly sensitive to the parameterization of convection.

Flight Behavior of Individual Aerial Insectivores Revealed by Novel Altitudinal Dataloggers

Swallows and martins (Aves: Hirundinidae) are well-studied with respect to their breeding biology, but major aspects of their individual aerial movement behavior and ecology are relatively poorly documented. We deployed a novel tag technology, an altitude datalogger, on breeding populations of Purple Martin (Progne subis), Tree Swallow (Tachycineta bicolor), and Barn Swallow (Hirundo rustica) in upstate New York during the summer of 2016, providing individual-level flight data on a per minute basis. Using mixed models, we investigated differences in flight altitudes across species and varying atmospheric conditions. The major findings were: 1) three species spent significantly different proportions of their time in distinct aerial strata despite extensive behavioral plasticity, 2) individuals of each species responded differently to atmospheric conditions depending on the time of day and their altitude, and 3) the species differed from one another in the relationships between their flight altitudes and weather variables, suggesting different strategies for tracking their environment and/or prey. More research is needed to accurately determine the relationships between specific meteorological variables and altitude. We encourage broader use of this methodology to better understand the behavior and ecology of aerial insectivores globally.

Increasing chestnut resilience to climate change with innovative management practices

Climate change is ongoing but the magnitude, extent and duration of its impacts is far from being known and, in particular, its consequence on Earth’s life is still under study. This article presents an overview about many research lines aiming to increase the resilience of chestnut in climate changes frame. In Europe, chestnut is considered a Mediterranean crop, facing nowadays significant heat and drought stresses with important consequences on species health. So, modelling its production is fundamental to project the future production and species area redistribution according to the new expected climatic conditions. These models are being developed based on specific meteorological variables and indices well related to different aspects and stages of the vegetative cycle. For example, the best range of growing degree days (GDD) for better ‘Judia’’s chestnut production was found to be within the range 2000-2200°D (between May and October). At orchard level, it is also demonstrated the benefits of preserving a good soil herbaceous vegetation cover, complemented with smart irrigation which can prevent the reduction on nut production by about 25-50%, depending on the annual precipitation, and increase the edible mushroom production. Results also clearly demonstrated the importance of bees on pollination, where a decrease of about 70% was observed when they were absent. New hybrid rootstocks are being developed (e.g., ColUTAD) aiming to face the new climatic context, namely to maximize photosynthesis rate at high air temperature (T100 = 34°C). Also in ‘Judia’, such plasticity was observed between genotypes from cold and warm localities. Calibers ranged between 58 and 107 nuts kg-1. The tolerance against blight disease (Chryphonectria parasitica) also significantly varied. Finally, additional mineral nutrition with silicon seems to lead to a lower mortality rate and phenol’s inhibition as well as to an increased tolerance of the specie to thermal and hydric stress. The addition of silicon appears to have protective effect on trees against ink (Phytophthora cinnamomi) and blight diseases as well as to prepare and adapt trees for a future climate that is expected to be warmer and drier.

Statistical modeling of insect behavioral response to changes in weather conditions in Brassica napus L.

Understanding specific meteorological factors that affect the foraging activity of pollinator insects can provide valuable information to ensure appropriate levels of pollination of crops. This research was carried out to verify the spectrum of pollinating insects and their foraging behavior in relation to specific meteorological variables in the Brassica napus (rapeseed) crop. Data collected consisted of the following observations: number of visits by each pollinator, floral resources collected by Africanized honeybee Apis mellifera L., number of flowers visited by Africanized honeybees in 1 min, number of flowers visited by Africanized honeybees in one specific plant during the timed observation of 1 min, and the time taken by the honeybees to visit each flower. In this study the analyses were made through different generalized linear models. The Africanized honeybees were the most abundant pollinating insects (88%) and most visitors were observed collecting nectar (90%). The Africanized honeybees visited a total of 12.9 ± 1.40 flowers in 1 min and 2.96 ± 1.09 flowers of a single plant in 1 min. The time the honeybees spent on the rapeseed flowers was 4.2 ± 1.6 s. The number of floral visitors correlated closely to the variation of abiotic factors, especially temperature, relative humidity, wind speed, and solar radiation. Africanized honeybees were more active at different times of the day as compared to the other floral visitors and they foraged more intensely on the Hyola 433 hybrid than on the Hyola 61 hybrid. The Hyola 61 hybrid was more attractive to Diabrotica speciosa and Lepidoptera.

The influence of weather on migraine - are migraine attacks predictable?

ObjectiveThe study aimed at elucidating a potential correlation between specific meteorological variables and the prevalence and intensity of migraine attacks as well as exploring a potential individual predictability of a migraine attack based on meteorological variables and their changes.MethodsAttack prevalence and intensity of 100 migraineurs were correlated with atmospheric pressure, relative air humidity, and ambient temperature in 4-h intervals over 12 consecutive months. For each correlation, meteorological parameters at the time of the migraine attack as well as their variation within the preceding 24 h were analyzed. For migraineurs showing a positive correlation, logistic regression analysis was used to assess the predictability of a migraine attack based on meteorological information.ResultsIn a subgroup of migraineurs, a significant weather sensitivity could be observed. In contrast, pooled analysis of all patients did not reveal a significant association. An individual prediction of a migraine attack based on meteorological data was not possible, mainly as a result of the small prevalence of attacks.InterpretationThe results suggest that only a subgroup of migraineurs is sensitive to specific weather conditions. Our findings may provide an explanation as to why previous studies, which commonly rely on a pooled analysis, show inconclusive results. The lack of individual attack predictability indicates that the use of preventive measures based on meteorological conditions is not feasible.

The influence of meteorological variability on the mid-term evolution of the electricity load

We investigate the relationships between Spain's electricity load and specific meteorological variables. Spain's electricity data consist of the country's aggregated network daily load for the period of 1993–2010. The meteorological variability is represented by an index based on temperature observations from meteorological stations across Spain. We use a monthly-fixed regression model to characterise the relationships between both indexes and investigate the sensitivity of the relationship. We propose also another regression model based on the relationship between the electricity load index and some indexes that characterize the variability of large scale climate signals. These signals are known to influence the meteorological variability in the Iberian sector, and include the North Atlantic Oscillation, the North Tropical Atlantic, the South Tropical Atlantic and the Pacific Decadal Oscillation, among others. We assess the predictive potential of both models through their monthly hindcast skill values and validate them with some complementary hindcast experiments.

The Relationship between Meteorological Conditions and Homicide, Suicide, Rage, and Psychiatric Hospitalization

This study focuses on the relationship between the incidence of homicide, rage, suicide, and psychiatric hospitalization as violent behaviors with temperature, humidity, and air pressure as specific meteorological variables in the city of Mashhad, in the northeast of Iran. The data were obtained from Iran Meteorological Organization, official registry of Legal Medicine Organization and the local psychiatric hospital, March 2009 to Feb 2010 daily and were analyzed with SPSS-14 using Pearson correlation coefficient, ANOVA, and post hoc analysis tests. The rates of rage and psychiatric admission had a significant relationship with the daily mean air temperature, minimum relative humidity, maximum relative humidity, minimum daily pressure, and maximum daily air pressure (p<0.0001). There was no significant correlation between homicide and suicide rates with any meteorological variables (p>0.05). We concluded that, the possibility of nonfatal violence and psychiatric hospitalization would increase in hot and arid weather with low air pressure.

Climatic indices in the interpretation of the phenological phases of the olive in mediterranean areas during its biological cycle

The present study implemented a regional phenological model that was derived through the growing season index and adapted to a widespread Mediterranean species, the olive (Olea europaea L.). This model considers not only individual phenological events, but also the main vegetative and reproductive phenological phases of the species, in an integrated biological approach. The regional model generally does not need to include specific meteorological variables calculated as weekly or monthly averages which could limit the extrapolation over large areas. The main climatic limitations of the olive cultivation areas in the south Mediterranean at latitudes around 10° (practically speaking, the geographical limits of the olive) are estimated here. This analysis uses information relating to local climatic changes over the last two decades (1990–1999, 2000–2009) to provide interpretations of the temperature, solar radiation rate, and evapotranspiration trends. This has allowed creation of a Mediterranean phenological model adapted to the olive, which presents the contemporary climate requirements during winter and the warm summer season. The climate analysis and comparisons of these two decades has allowed us to reveal a reduction in the index according to the minimum temperature, which has particular consequences in the northern monitoring areas. This phenomenon appears to present new positive scenarios for the future regarding a northward shift of olive cultivation areas, due to the potential enlargement of the growing season in winter. However, negative scenarios can also be foreseen in consideration of the failure to satisfy the minimum chilling requirements in the traditional southern cultivation areas of the olive.

Development and evaluation of an Earth-System model – HadGEM2

Abstract. We describe here the development and evaluation of an Earth system model suitable for centennial-scale climate prediction. The principal new components added to the physical climate model are the terrestrial and ocean ecosystems and gas-phase tropospheric chemistry, along with their coupled interactions. The individual Earth system components are described briefly and the relevant interactions between the components are explained. Because the multiple interactions could lead to unstable feedbacks, we go through a careful process of model spin up to ensure that all components are stable and the interactions balanced. This spun-up configuration is evaluated against observed data for the Earth system components and is generally found to perform very satisfactorily. The reason for the evaluation phase is that the model is to be used for the core climate simulations carried out by the Met Office Hadley Centre for the Coupled Model Intercomparison Project (CMIP5), so it is essential that addition of the extra complexity does not detract substantially from its climate performance. Localised changes in some specific meteorological variables can be identified, but the impacts on the overall simulation of present day climate are slight. This model is proving valuable both for climate predictions, and for investigating the strengths of biogeochemical feedbacks.

Association of Weather Conditions with Childhood Admissions for Wheezy Bronchitis or Asthma in Athens

Background: The association between asthma morbidity and meteorological conditions is well documented, but it is not clear to what extent more specific meteorological variables are implicated. Objectives: This study was aiming to investigate whether there is any association between specific meteorological conditions and the seasonal variation and the rate of asthma admissions among children in Athens. Methods: Data were obtained retrospectively from hospital registries of the three main Children’s Hospitals in Athens during a 23-year period (1978–2000). The meteorological database consisted of mean monthly values of eight meteorological variables. The whole period studied was divided into three time periods: 1978–1987, 1988–1993 and 1994–2000. Results: A clear seasonal trend with a permanent pattern was detected. There were more monthly asthma admissions in winter-spring and autumn for younger children, as well as a lower peak in winter and autumn and a major one in May for older children, without significant differences in between the three time periods. The results of a multiple regression analysis revealed that relative humidity and atmospheric pressure were predictors of up to 56.7% (1988–1993) and 59.2% (1994–2000) monthly asthma admissions among younger children. No relation of the time trend in asthma admissions during the periods studied for any age group with any of the meteorological variables was detected. Conclusions: Our results indicate a constant seasonal variability in asthma admissions among children in Athens, whereas relative humidity and atmospheric pressure are the more implicated meteorological variables for younger asthmatic children.

Panic anxiety, under the weather?

The relationship between weather conditions and psychiatric disorders has been a continuous subject of speculation due to contradictory findings. This study attempts to further clarify this relationship by focussing on specific conditions such as panic attacks and non-panic anxiety in relation to specific meteorological variables. All psychiatric emergencies attended at a general hospital in Barcelona (Spain) during 2002 with anxiety as main complaint were classified as panic or non-panic anxiety according to strict independent and retrospective criteria. Both groups were assessed and compared with meteorological data (wind speed and direction, daily rainfall, temperature, humidity and solar radiation). Seasons and weekend days were also included as independent variables. Non-parametric statistics were used throughout since most variables do not follow a normal distribution. Logistic regression models were applied to predict days with and without the clinical condition. Episodes of panic were three times more common with the poniente wind (hot wind), twice less often with rainfall, and one and a half times more common in autumn than in other seasons. These three trends (hot wind, rainfall and autumn) were accumulative for panic episodes in a logistic regression formula. Significant reduction of episodes on weekends was found only for non-panic episodes. Panic attacks, unlike other anxiety episodes, in a psychiatric emergency department in Barcelona seem to show significant meteorotropism. Assessing specific disorders instead of overall emergencies or other variables of a more general quality could shed new light on the relationship between weather conditions and behaviour.

A METHOD OF FORECASTING OCCURRENCE OF WINTER PRECIPITATION TWO DAYS IN ADVANCE

Abstract The application of systematic considerations of upper air conditions to the forecasting of precipitation two days in advance for the Washington-Baltimore area in winter is discussed. Forecasts are made by objective treatment of specific meteorological variables from the 850-mb. and 700-mb. levels. The accuracy of this system is discussed and compared with forecasts made by the usual subjective methods. Comparisons show a strong bias in favor of the methods presented. Use of this system during January 1951 is explained in detail and results indicate significant forecast improvement is possible if an endeavor is made to systematically use present knowledge of certain relationships of conditions aloft to future weather.