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Statistical Analysis of Essential Climate Variables (ECVs) at Mt. Cimone

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Abstract

By this appendix, we provide a set of statistical information about long-term observations of Essential Climate Variables at CMN. We provide a short description of the statistical methods, together with tables and plots describing typical ECV average values and variabilities as a function of seasons and years.

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References

  • Carslaw DC, Ropkins K (2012) Openair an R package for air quality data analysis. Environ Model Softw 27:52–61

    Article  Google Scholar 

  • Sen PK (1968) Estimates of the regression coefficient based on Kendall’s tau. J Am Stat Assoc 63:1379–1389

    Article  Google Scholar 

  • Theil H (1950) A rank-invariant method of linear and polynomial regression analysis, Part 3. In: Proceedings of Koninklijke Nederlandse Akademie van Weinenschatpen A 53:1397–1412

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Acknowledgments

We would like to thank Dr. David Carslaw for providing to the scientific community the Openair R library (http://www.openair-project.org/), which has been used for the data analysis. Davide Putero grant was supported by the Project of National Interest NextData. Tony Christian Landi grant was funded by the scientific agreement between CNR-ISAC and ARPAE Emilia-Romagna.

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Cristofanelli, P. et al. (2018). Statistical Analysis of Essential Climate Variables (ECVs) at Mt. Cimone. In: High-Mountain Atmospheric Research . SpringerBriefs in Meteorology. Springer, Cham. https://doi.org/10.1007/978-3-319-61127-3_6

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