Affiliation:
1. a University of Maine, Orono, ME, USA
Abstract
AbstractAustralian seasonal streamflow cycles represent diverse weather and climate variations and distinctive influences from coupled ocean-atmospheric phenomena, including monsoons, frontal systems, and El Nino-Southern Oscillation. Streamflow strongly modulates the health of ecosystems and is inextricably linked to communities through consumptive use and cultural and spiritual practices. To better understand the potential impacts of a changing climate, a comprehensive trend analysis of streamflow variability resolved at daily scales is pursued for 35 rivers across Australia using a serially complete modelled streamflow dataset (1979–2018) from the GloFAS-ERA5 operational global river discharge reanalysis. Analysis consisted of quantile regression to identify direction and significances of trends in low, median, and high flows, K-means clustering to identify grouping of data with similar features, and Poisson regressions to identify rainfall changes during low and high rainfall seasons. Results present comprehensive decreases at low, median, and high flows in southern continental river streamflow. Northern continental streamflows display increases and decreases throughout the year across flows, with increases more prevalent. Trends within upper and lower portions of the flow distributions reveal unique sub-seasonal time windows in the extremes, thus underscoring that trends across the full distribution of streamflow are necessary to understand vulnerability to human and environmental systems.
Subject
Management, Monitoring, Policy and Law,Atmospheric Science,Water Science and Technology,Global and Planetary Change
Reference26 articles.
1. A global streamflow reanalysis for 1980–2018;Journal of Hydrology X,2020
2. Development of a regional gridded runoff dataset using long short-term memory (LSTM) networks;Hydrology,2021
3. Non-crossing quantile regression curve estimation;Biometrika,2010
4. Bureau of Meteorology 2022 Climate Data Online. Australian Government: Bureau of Meteorology. Available from: http://www.bom.gov.au/climate/data/
5. Coleman R. L. 2022 Overlapping Scales of Place Based Indigenous Knowledge and Hydroclimate in Australia . Electronic Theses and Dissertations, p. 3570. Available from: https://digitalcommons.library.umaine.edu/etd/3570
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献