Ground-based GNSS (Global Navigation Satellite Systems) have efficiently been used since the 1990s as a meteorological observing system. Recently scientists used GNSS time series of precipitable water vapor (PWV) for climate research. In this work, we use time series from GNSS, European Center for Medium-Range Weather Forecasts Reanalysis (ERA-Interim) data, and meteorological measurements to e...

This paper focuses on the forecast of hourly wind speed using an intelligent model. The hourly wind speed of the meteorological stations are forecasted and compared. The selected two sites of Taiwan meteorological stations are Lan-Yu and Tung-Chi-Tao, whose wind speeds are the highest among 25 areas during the period of 1971-2000. An intelligent time series model is developed and used to foreca...

The data used in the present study is a 21-year GIMMS-NDVI dataset, surface data on phenology of birch, and temperature data from meteorological stations, all for the period 1982 to 2002. For each pixel a 21-year mean and a mean of peak NDVI value was computed. Threshold values related to this mean, and mean of peak NDVI values, which show the best correlations with the phenological field data ...

Dirofilariosis, caused by Dirofilaria immitis and D. repens, is spreading in several geographic regions. The development of infective larvae in the mosquito vector (extrinsic incubation) needs an accumulated total of 130 degree-days above the 14 °C threshold, normally expressed as heartworm development units (HDUs). Based on this information, temperature- based models have been developed and ap...

The Adriatic Sea meteotsunami research and warning network is described. The network is located in the middle Adriatic, an area where the most destructive of the Adriatic meteotsunamis (destructive tsunami-like sea level oscillations generated by air pressure oscillations) occur. The network consists of three microbarograph meteorological stations, and is supplemented by four permanent tidegaug...

Artificial Neural Networks (ANN) have been essentially used as regression models to predict the concentration of one or more pollutants usually requiring information collected from air quality stations. In this work we consider a Multilayer Perceptron (MLP) with one hidden layer as a classifier of the impact of air quality on human health, using only traffic and meteorological data as inputs. O...

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 aim of this study is to determine the effect of environmental conditions with emphasis on the main meteorological factors (air temperature variables, sunshine hour, and humidity), on phytoplankton communities. As important primary producers in aquatic ecosystems, phytoplankton communities could be affected by several factors. Environmental factors play the major role in occurrence and diver...

The present article is aimed at study on agroclimatic conditions of cultivation of sunflower throughout selected substations at Kurdistan  Province by means of GIS system. In this investigation, meteorological data have been received from synoptic stations based on daily, monthly, and annually trend from Iran Meteorological Organization (IMO) at Kurdistan  Province and then homogeneity of data ...