4.7 Article

Observed hydrologic non-stationarity in far south-eastern Australia: implications for modelling and prediction

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SPRINGER
DOI: 10.1007/s00477-013-0755-5

关键词

Hydrologic non-stationarity; South-eastern Australia; Millennium drought; Climate-runoff relationship; Hydrological prediction

资金

  1. CSIRO Water for a Healthy Country National Research Flagship
  2. Australian Bureau of Meteorology
  3. Murray-Darling Basin Authority
  4. Victoria Department of Environment and Primary Industries
  5. Common-wealth Department of Climate Change and Energy Efficiency

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The term 'hydrologic non-stationarity' has been used to describe many things, ranging from different climate-runoff relationships evident in different periods within a long hydroclimate time series to changes in hydroclimate characteristics and dominant hydrological processes in an increasingly warmer and higher CO2 world. This paper presents several examples of observed 'hydrologic non-stationarity' in far south-eastern Australia exposed by the prolonged 1997-2009 ''Millennium'' drought, focussing on the implications of this hydrologic non-stationarity on hydrological modelling and prediction. The runoff decline during the drought was unprecedented in the instrumental historical record. It was caused not only by the lower annual rainfall, but also by changes in other climate characteristics (lack of any high rainfall years, change in rainfall seasonality and higher temperatures) and dominant hydrological processes (reduced surface-groundwater connection and farm dams intercepting proportionally more water during dry periods). Hydrological models developed and calibrated against pre-1997 data cannot predict adequately the flow volumes and runoff characteristics during the drought. However, as the Millennium drought has exposed these extreme conditions, models can now be developed and calibrated to represent these, as well other conditions observed in the instrumental historical records (i.e., hydrologic non-stationarity that has already been observed). Such models should be able to satisfactorily predict the near-term runoff which will be influenced mainly by the rainfall inputs. However, further into the future, runoff will be increasingly influenced by higher temperatures and changed ecohydrological processes under higher CO2. Reliably modelling these is difficult because of the complex interactions and feedbacks between many variables and processes in a future environment not seen in the past (i.e., hydrologic non-stationarity that has not been observed).

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