Ramp function regression: a tool for quantifying climate transitions

By Manfred Mudelsee. 2000

166 citations recorded by the source corpus.

Subfields: Applied Mathematics, Artificial Intelligence, Statistical and Nonlinear Physics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Mathematics

1. M. Raymo

In Artificial Intelligence

1. M. Raymo
2. Manfred Mudelsee
3. Kristín Björg Ólafsdóttir

In Statistical and Nonlinear Physics

1. M. Raymo

Citations in the corpus

• Trend analysis of climate time series: A review of methods (2019, methodology): “The used software packages (BREAKFIT, KERNEL, RAMPFIT, and RAMPFITc) are freely available at http://www.climate-riskanalysis.com (19 June 2018).”
• Slow dynamics of the Northern Hemisphere glaciation (2005, methodology): “The time series (light lines) were analyzed using ramp regression [ Mudelsee, 2000 ] to determine long-term trend (bold lines).”
• Long memory of rivers from spatial aggregation (2007, unknown): “However, linear detrending had only minimal (within error bars) influence on the d(A) curves, which was found also when employing stepwise trend functions [Mudelsee, 2000].”