This work illustrates the use and some related results of Artificial Neural Networks (ANNs) for data quality control of environmental time series and for reconstruction of missing data. ANNs are applied to the following problems: i) short and medium-term predicting of air pollutant concentrations in...

Air pollution forecasts in major urban areas are becoming a problem concerning the day to day environmental management for city authorities. This paper describes the development of an application to forecast the peak ozone levels with the aid of meteorological and air quality variables, in the...

In this work the covariability of sea surface and lower troposphere temperatures (SST-AT) is investigated for winter (DJFM) and summer (JJAS), over the whole northern hemisphere, by utilizing monthly anomalies in grid boxes for a 22-year period. Air temperature variations in the lower troposphere...

The new Air Quality Directive (2008/50/EC) encourages the introduction of modelling as a necessary tool for air quality assessment and management. Towards this aim, a new Air Quality Management System (AQMS) has been developed and installed in the Department of Labour Inspection of the Republic of...

The El Nino-Southern Oscillation is the dominant pattern of short-term climate variation, and is therefore of great importance in climate studies. Some recent studies showed the teleconnection between stream flow and the El-Nino Southern Oscillation (ENSO) of the equatorial Pacific Ocean. This paper...

The two basic forms of multi-scale data assimilation procedures (FDDA), based on Newtonian relaxation, of analysis and observations nudging have been applied for precipitation event period occurred over Portugal during summer season, using the Fifth Generation Mesoscale Model (MM5) developed and...

In hydrology, as in a number of diverse fields, there has been an increasing use of Artificial Neural Networks (ANN) as black-box simplified models. This is mainly justified by their ability to model complex non-linear patterns; in addition they can self-adjust and produce a consistent response when...