time series analysis

Petkov, B. H. (2018). About the relationships among variables observed in the real world. Communications In Nonlinear Science And Numerical Simulation. http://doi.org/10.1016/j.cnsns.2017.11.006
View
Belis, C. A., Pernigotti, D., Pirovano, G., Favez, O., Jaffrezo, J. L., Kuenen, J., et al. (2020). Evaluation of receptor and chemical transport models for PM10 source apportionment. Atmospheric Environment: X. http://doi.org/10.1016/j.aeaoa.2019.100053
View
Lossow, S., Khosrawi, F., Kiefer, M., Walker, K. A., Bertaux, J. -L., Blanot, L., et al. (2019). The SPARC water vapour assessment II: Profile-to-profile comparisons of stratospheric and lower mesospheric water vapour data sets obtained from satellites. Atmospheric Measurement Techniques. http://doi.org/10.5194/amt-12-2693-2019
View
Manara, V., Beltrano, M. C., Brunetti, M., Maugeri, M., Sanchez-Lorenzo, A., Simolo, C., & Sorrenti, S. (2015). Sunshine duration variability and trends in Italy from homogenized instrumental time series (1936-2013). Journal Of Geophysical Research. http://doi.org/10.1002/2014JD022560
View
Cristofanelli, P., Scheel, H. -E., Steinbacher, M., Saliba, M., Azzopardi, F., Ellul, R., et al. (2015). Long-term surface ozone variability at Mt. Cimone WMO/GAW global station (2165 m a.s.l., Italy). Atmospheric Environment. http://doi.org/10.1016/j.atmosenv.2014.11.012
View
Belis, C. A., Karagulian, F., Amato, F., Almeida, M., Artaxo, P., Beddows, D. C. S., et al. (2015). A new methodology to assess the performance and uncertainty of source apportionment models II: The results of two European intercomparison exercises. Atmospheric Environment. http://doi.org/10.1016/j.atmosenv.2015.10.068
View