Journal
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
Volume 10, Issue -, Pages 18-34Publisher
ELSEVIER
DOI: 10.1016/j.ejrh.2016.12.086
Keywords
Dynamical downscaling; Global climate model; Precipitation trends; Smoothing algorithm; Low pass filtered series
Categories
Funding
- Goyder Institute for Water Research under their Climate Change program
Ask authors/readers for more resources
Study region: Island state of Tasmania, Australia. Study focus: This study detected monotonic and step trends in maximum sub-daily precipitation for durations ranging from 3 to 24 h over the period 19612100. It also looked at whether or not there is agreement between six dynamically downscaled global circulation models (GCMs) in terms of the extent and magnitude of monotonic and step trends in the dataset. This was done using a split-apply-combine approach for data manipulation. The study included trend evaluation, application of a smoothing algorithm, and the application of non-parametric and parametric statistical tests on low pass filtered series. New hydrological insights: Monotonic and step trends in maximum sub-daily precipitation occurring in each month were identified across the state. Decreasing trends were found to become more evident in the Central Plateau region. There was reasonable agreement between GCMs on the sign and the magnitude of the precipitation changes, with the exception of the Central Plateau region of Tasmania, where the GCMs disagreed as to the spatial extent of the decreasing in trends. The duration and intensity (percentile) of maximum sub-daily precipitation were found to influence trends in sub-daily precipitation. Evidence of spatial patterns in monotonic and step trends for the data between the baseline period (19611990) and future climates (20102039, 20402069, and 20702099) have been evaluated. (C) 2016 The Author(s). Published by Elsevier B.V.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available