This paper analyses US sea level data using long memory and fractional integration methods. All series appear to exhibit orders of integration in the range (0, 1), which implies long-range dependence; further, significant positive time trends are found in the case of 29 stations located on the...

This paper examines trends and persistence in the Greenland ice sheet mass by applying fractional integration methods to a dataset constructed by Mankoff et al. (2020) on ice discharge for seven different regions of Greenland. The adopted empirical framework encompasses a wide range of...

This paper examines trends and persistence in the Greenland ice sheet mass by applying fractional integration methods to a dataset constructed by Mankoff et al. (2020) on ice discharge for seven different regions of Greenland. The adopted empirical framework encompasses a wide range of...

This paper analyses US sea level data using long memory and fractional integration methods. All series appear to exhibit orders of integration in the range (0, 1), which implies long-range dependence; further, significant positive time trends are found in the case of 29 stations located on the...

This paper examines trends and persistence in the Greenland ice sheet mass by applying fractional integration methods to a dataset constructed by Mankoff et al. (2020) on ice discharge for seven different regions of Greenland. The adopted empirical framework encompasses a wide range of...

This paper analyses US sea level data using long memory and fractional integration methods. All series appear to exhibit orders of integration in the range (0, 1), which  implies long-range dependence; further, significant positive time trends are found in the case of 29 stations located on the...