This paper compares syndromic surveillance and predictive weather-based models for estimating emergency department (ED) visits for Heat-Related Illness (HRI). A retrospective time-series analysis of weather station observations and ICD-coded HRI ED visits to ten hospitals in south eastern Ontario, Canada, was performed from April 2003 to December 2008 using hospital data from the National Ambul...

Weather forecast is a complex multi-disciplinary problem which requires a cascade of different scientific tools, from differential equation solvers to high-dimensional statistical and data-mining algorithms. The demand for high-resolution predictions is continuously increasing due to the multiple applications in hydrology, agronomy, etc., which require regional meteorological inputs. To fill th...

The National Institute of Information and Communications Technology (NICT) operates a Japanese space forecast center for the International Space Environment Service (ISES). Information on space weather is exchanged daily among the space weather forecast centers all over the world. Researches of space weather need data on large areas of space from the Sun to the Earth’s upper atmosphere. It is n...

BACKGROUND To explain the possible effects of exposure to weather conditions on population health outcomes, weather data need to be calculated at a level in space and time that is appropriate for the health data. There are various ways of estimating exposure values from raw data collected at weather stations but the rationale for using one technique rather than another; the significance of the ...

rice blast, caused by pyricularia grisea, is one of the most important diseases of this crop in iran and all over the world. to evaluate the relationship between spore population (sp) and meteorological factors, sp was measured daily using spore trap during growing seasons of 2006-2008 in rasht and lahijan regions (guilan province, iran). weather data including precipitation, daily maximum and ...

The first geostationary sensors produced dramatic images of storms on short time scales, permitting their evolution to be monitored as never before. Prediction of weather now benefits from numerical weather prediction models, which require temperature and humidity inputs from soundings. Significant weather is often located in cloudy areas where infrared (IR) soundings are degraded or fail, and ...

Weather affects our mood and behaviors, and many aspects of our life. When it is sunny, most people become happier; but when it rains, some people get depressed. Despite this evidence and the abundance of data, weather has mostly been overlooked in the machine learning and data science research. This work presents a causal analysis of how weather affects TV watching patterns. We show that some ...

This paper describes a Weather Impact Model (WIM) capable of serving a variety of predictive applications ranging from real-time operation and dayahead operation planning, to asset and outage management. The proposed model is capable of combining various weather parameters into different weather impact features of interest to a specific application. This work focuses on the development of a uni...