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 ...

APRIL 2005 AMERICAN METEOROLOGICAL SOCIETY | T he U.S. Historical Climate Network (USHCN; Karl et al. 1990) consists of a subset of stations from the National Weather Service (NWS) cooperative (COOP) station network. The USHCN stations are used in the construction of homogeneous climate data reference series and in the detection and monitoring of long-term climatic trends. Stations are selected...

Weather forecasting needs a lot of computing power. It is generally accomplished by using supercomputers which are expensive to rent and to maintain. In addition, weather services also have to maintain radars, balloons and pay for worldwide weather data measured by stations and satellites. Weather forecasting computations usually consist of solving differential equations based on the measured p...

Quality control of climate data of weather stations is essential to ensure reliability of research and services. A way to do it is comparing data of one station with data of close stations which somehow are expected to have similar behavior. The purpose of this work is to evaluate some visual data mining techniques to identify groupings/outliers of weather stations using historical precipitatio...

In this work, the trend of the Urban Heat Island (UHI) of Rome is analyzed by both ground-based weather stations and a satellite-based infrared sensor. First, we have developed a suitable algorithm employing satellite brightness temperatures for the estimation of the air temperature belonging to the layer of air closest to the surface. UHI spatial characteristics have been assessed using air te...

The prediction of weather generally means the solution of differential equations on the base of the measured initial conditions where the data of close and distant neighboring points are used for the calculations. It requires the maintenance of expensive weather stations and supercomputers. However, if weather stations are not only capable of measuring but can also communicate with each other, ...

The distribution of Phlebotomus papatasi in Southwest Asia is thought to be highly dependent on temperature and relative humidity. A discriminant analysis model based on weather data and reported vector surveys was developed to predict the seasonal and geographic distribution of P. papatasi in this region. To simulate global warming, temperature values for 115 weather stations were increased by...