1,721,171 research outputs found
A performance evaluation of despiking algorithms for eddy-covariance data
Spike detection for raw high-frequency eddy covariance (EC) time series is a challenging task because of the confounding effect caused by complex dynamics and the high level of noise affecting such data. To cope with these features, a new despiking procedure rooted on robust functionals is proposed. By processing simulated data, it is demonstrated that the proposed procedure performs better than the existing algorithms and can be therefore considered as a candidate for the implementation in data center environmental monitoring systems, where the availability of automatic procedures ensuring a high quality standard of released products constitutes an essential prerequisite
Granger causality analysis of bivariate climatic time series: a note on the role of CO2 emissions in global climate warming
Unit roots, Granger causality and global warming: bridging the gap between econometric theory and climatology
In the last few years, improved mathematical modeling and abundance of data, strengthened the conclusion that human emissions are very likely to cause serious climate change. The adoption of Granger causality test applied to temperature and CO2 emissions series, allowed us to analyze the nature of such association
L'isolato di Santa Croce e l'architettura degli Ospedali
Dispense Didattiche Politecnico di Torino DIPR
The Importance of Prewhitening in Time-Lag Detection between Raw, High-Frequency, Eddy-Covariance Data
Granger Causality Analysis of Bivariate Climatic Time Series: a Note on the Role of CO2 Emissions in Global Warming
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