Climate strongly influences global wildfire activity, and recent wildfire surges may signal fire weather-induced pyrogeographic shifts. Here we use three daily global climate data sets and three fire danger indices to develop a simple annual metric of fire weather season length, and map spatio-temporal trends from 1979 to 2013. We show that fire weather seasons have lengthened across 29.6 milli...

BACKGROUND Projected increases in weather variability due to climate change will have severe consequences on human health, increasing mortality, and disease rates. Among these, cardiovascular diseases (CVD), highly prevalent among the elderly, have been shown to be sensitive to extreme temperatures and heat waves. OBJECTIVES This study aimed to find out the relationship between daily temperat...

BACKGROUND Research in mainly developed countries has shown that some changes in weather are associated with increased mortality. However, due to the lack of accessible data, few studies have examined such effects of weather on mortality, particularly in rural regions in developing countries. OBJECTIVE In this study, we aimed to investigate the relationship between temperature and rainfall wi...

Statistical methodology is devised to model time series of daily weather at individual locations in the southeastern U.S. conditional on patterns in large-scale atmosphere–ocean circulation. In this way, weather information on an appropriate temporal and spatial scale for input to crop–climate models can be generated, consistent with the relationship between circulation and temporally and/or sp...

. introduction most of the warming over the last 50 years has been caused by emissions of carbon dioxide (co2) and other greenhouse gases due to human activities. observed changes in the climate due to increasing greenhouse-gas concentrations have made it essential to investigate these changes. the general circulation model (gcm) is the most current method of investigating climate change studie...

in the paper a model to predict the concentrations of particulate matter pm10, pm2.5, so2, no, co and o3 for a chosen number of hours forward is proposed. the method requires historical data for a large number of points in time, particularly weather forecast data, actual weather data and pollution data. the idea is that by matching forecast data with similar forecast data in the historical data...

OBJECTIVES To ascertain whether the weather affects the attendance rate of children with injuries at a paediatric accident and emergency department. METHODS The maximum daily temperature and weather conditions (rain/cloud/sun) were noted over a three month period in spring/summer 2002, together with the number of children attending with new injuries or trauma. RESULTS There was a direct ass...

Soil is an important element in the agricultural domain because it serves as media that bridges water consumption and supply processes. In this study, a neural network ensemble (NNE) method was employed to predict soil moisture eliminate effects of random initial parameters (NN) on model accuracy. The constructed NNE predicts daily root zone continuously for whole crop growing season processes ...

The primary purpose of this study was to examine the association of outdoor physical activity (PA) with weather-related factors (temperature, humidity, heat index, and precipitation) when data was measured onsite (Knoxville Third-Creek Greenway). Secondary to this research question, this study explored whether the source of weather­ related data (site-specific vs. public domain) influenced the ...

present study examines whether there is any beneficial effect of magnetized water application on seedling emergence of maize seeds. water from various sources like tap water, saline water (1,500 ppm), canal water, and sewerage water was treated magnetically by passing it through 235 mt magnetic fields at 3 lpm flow rate. seeds were soaked in water for 24 hours and planted in sand culture. numbe...