Detecting trends that are nonlinear and asymmetric on diurnal and seasonal timescales.

• Published in: Climate Dynamics
• Main Authors: Fischer, M, Paterson, A
• Format: Article in Journal/Newspaper
• Language: English
• Published: Springer 2014
• Subjects: CLIMATIC CHANGE; FUNCTIONS; WEATHER; BIOLOGICAL VARIABILITY; EXTRACTION; ASYMMETRY; Grim; Law Dome; Macquarie Island
• Online Access: http://apo.ansto.gov.au/dspace/handle/10238/6059; https://doi.org/10.1007/s00382-014-2086-8

Trends in climate time series are often nonlinear and temporally-asymmetric, i.e. the trend is different for different seasons and/or hours of the day. Here a method is developed that allows the nonlinearity and temporal asymmetry of a trend to be investigated simultaneously. First, nonlinear trend...