In this study, net surface radiation (Rn) was estimated using artificial neural network (ANN) and Linear Model (LM). Then, estimated Rn with both the models (ANN and LM) were compared with measured Rn from eddy covariance (EC) flux tower. The routinely measured meteorological variables namely air temperature, relative humidity and wind velocity were used as input to the ANN and global solar rad...

This multidisciplinary research project applies statistical and neural models to analyse the immision values of urban atmospheric pollution. Data collection was from the network of pollution measurement stations in the Spanish Autonomous Region of Castile-Leon. Six meteorological parameters and a pollution measurement station in the city of Burgos were used to complete the study in 2007, within...

INTRODUCTION: Meteorological influences along with the lack of basic sanitation has contributed to disease outbreaks, resulting in large socio-economic losses, especially in terms of dengue. This study aimed to evaluate the meteorological influences on the monthly incidence of dengue in Arapiraca-AL, Brazil during 2008-2015. METHODS: We used generalized linear models constructed via logistic ...

E.G. Beek, 1991. Spatial interpolation of daily meteorological data; theoretical evaluation of available techniques. Wageningen (The Netherlands), DLO The Winand Staring Centre. Report 53.1.44 pp.; 13 Figs; 1 Table; 20 Refs. In agromcteorological crop yield models meteorological values at not observed points have to be obtained by means of interpolation techniques. In this study, interpolation ...

The main objective of Present study is based on meteorological variables to estimate monthly Global Solar Radiation (GSR) on a horizontal surface. Monthly mean of maximum air temperature, relative humidity, sunshine hours and wind speed values between 1974 and 2008 for Tehran city in Iran (35_41N, 51_19E), are used in this study. In order to investigate the effect of each meteorological variabl...

STUDY OBJECTIVE The aim was to examine a possible association of amount of sunshine and risk for acute closed angle glaucoma. DESIGN This was a retrospective analysis of hospital discharge registry data, linked to meteorological data for the same period. SETTING The study was a national survey using hospital discharge data for the whole of Finland over a 10 year period. PARTICIPANTS All s...

This paper presents the application of feed-forward multilayer perceptron networks and multiple regression models, to forecast hourly nitrogen dioxide levels 24 hours in advance. Input data are traffic and meteorological variables, and nitrogen dioxide hourly levels. The introduction of four periodic components (sine and cosine terms for the daily and weekly cycles), and nitrogen oxide hourly l...

High concentrations of ozone (O3) in the lower troposphere increase global warming, and thus affect climatic conditions and human health. Especially in metropolitan cities like Istanbul, ozone level approximates to security levels that may threaten human health. Therefore, there are many research efforts on building accurate ozone prediction models to develop public warning strategies. The goal...

greece has experienced particularly severe and frequent forest fires during summer 2007 together with exceptionally dry meteorological conditions culminated in distinct heat waves. the present study analyzes the time pattern of daily values of two fire risk indices (nesterov and angstrom) based on meteorological data made available for a number of gauging stations between 1 june and 31 august o...