Climatic parameters in time and space scales of change are for many reasons of Changes and how they should be based on observations using a statistical method to be determined. Analysis of the most widely used statistical methods that assess potential climate change on hydrological time series, such series of precipitation, temperature and flow rate used. This study of 11 synoptic,rain gage and...

Climatic parameters in time and space scales of change are for many reasons of Changes and how they should be based on observations using a statistical method to be determined. Analysis of the most widely used statistical methods that assess potential climate change on hydrological time series, such series of precipitation, temperature and flow rate used. This study of 11 synoptic,rain gage and...

The Central Netherlands Temperature (CNT) is a monthly daily mean temperature series constructed from homogenized time series from the centre of the Netherlands. The purpose of this series is to offer a homogeneous time series representative of a larger area in order to study largescale temperature changes. It will also facilitate a comparison with climate models, which resolve similar scales. ...

Climatic parameters in time and space scales of change are for many reasons of Changes and how they should be based on observations using a statistical method to be determined. Analysis of the most widely used statistical methods that assess potential climate change on hydrological time series, such series of precipitation, temperature and flow rate used. This study of 11 synoptic,rain gage and...

Climatic parameters in time and space scales of change are for many reasons of Changes and how they should be based on observations using a statistical method to be determined. Analysis of the most widely used statistical methods that assess potential climate change on hydrological time series, such series of precipitation, temperature and flow rate used. This study of 11 synoptic,rain gage and...

A temperature prediction method of Insulated Gate Bipolar Transistor (IGBT) module based on autoregressive moving average model is proposed. Historical and current temperature datum of IGBT module is indispensable to the ARMA method, temperature time series is obtained by uniform sampling, and autoregressive (AR) model is constructed. Temperature time series prediction of IGBT module is realize...

Based on counts of record highs and lows, and employing reversibility in time, an approach to examining natural variability is proposed. The focus is on intrinsic variability; that is, variance separated from the trend in the mean. A variability index a is suggested and studied for an ensemble of monthly temperature time series around the globe. Deviation of hai (mean a) from zero, for an ensem...