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Featured researches published by Nick Potter.


Stochastic Environmental Research and Risk Assessment | 2014

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

Francis H. S. Chiew; Nick Potter; Jai Vaze; Cuan Petheram; L. Zhang; Jin Teng; David A. Post

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).


Water Resources Research | 2015

The influence of multiyear drought on the annual rainfall‐runoff relationship: An Australian perspective

Margarita Saft; Andrew W. Western; Lu Zhang; Murray C. Peel; Nick Potter

Most current long-term (decadal and longer) hydrological predictions implicitly assume that hydrological processes are stationary even under changing climate. However, in practice, we suspect that changing climatic conditions may affect runoff generation processes and cause changes in the rainfall-runoff relationship. In this article, we investigate whether temporary but prolonged (i.e., of the order of a decade) shifts in rainfall result in changes in rainfall-runoff relationships at the catchment scale. Annual rainfall and runoff records from south-eastern Australia are used to examine whether interdecadal climate variability induces changes in hydrological behavior. We test statistically whether annual rainfall-runoff relationships are significantly different during extended dry periods, compared with the historical norm. The results demonstrate that protracted drought led to a significant shift in the rainfall-runoff relationship in ∼44% of the catchment-dry periods studied. The shift led to less annual runoff for a given annual rainfall, compared with the historical relationship. We explore linkages between cases where statistically significant changes occurred and potential explanatory factors, including catchment properties and characteristics of the dry period (e.g., length, precipitation anomalies). We find that long-term drought is more likely to affect transformation of rainfall to runoff in drier, flatter, and less forested catchments. Understanding changes in the rainfall-runoff relationship is important for accurate streamflow projections and to help develop adaptation strategies to deal with multiyear droughts.


Journal of Hydrology | 2008

Water balance modeling over variable time scales based on the Budyko framework – Model development and testing

Lu Zhang; Nick Potter; Klaus Hickel; Yongqiang Zhang; Quanxi Shao


Journal of Hydrology | 2010

An assessment of the severity of recent reductions in rainfall and runoff in the Murray-Darling Basin.

Nick Potter; Francis H. S. Chiew; Andrew Frost


Water Resources Research | 2011

An investigation into changes in climate characteristics causing the recent very low runoff in the southern Murray‐Darling Basin using rainfall‐runoff models

Nick Potter; Francis H. S. Chiew


Hydrology and Earth System Sciences | 2015

How does bias correction of regional climate model precipitation affect modelled runoff

Jin Teng; Nick Potter; Francis H. S. Chiew; L. Zhang; Bill Wang; Jai Vaze; Jason P. Evans


Hydrological Processes | 2016

Long-term streamflow trends in the middle reaches of the Yellow River Basin: detecting drivers of change

Zhaoliang Gao; Lu Zhang; XiaoPing Zhang; Lei Cheng; Nick Potter; Tim Cowan; Wenju Cai


Advances in Water Resources | 2014

Long-term annual groundwater storage trends in Australian catchments

Lu Zhang; Wilfried Brutsaert; Russell S. Crosbie; Nick Potter


Archive | 2008

Characterisation of recent rainfall and runoff in the Murray-Darling Basin

Nick Potter; Fhs Chiew; Aj Frost; R. Srikanthan; Thomas A. McMahon; Murray C. Peel; Jm Austin


Archive | 2009

Climate data and their characterisation for hydrological scenario modelling across northern Australia

Lingtao Li; Randall Donohue; Tim R. McVicar; Tom Van Niel; Jin Teng; Nick Potter; Ian N. Smith; Dewi Kirono; Janice Bathols; Wenju Cai; Steve Marvanek; Simon Gallant; Francis H. S. Chiew; Andrew Frost

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Francis H. S. Chiew

Commonwealth Scientific and Industrial Research Organisation

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Lu Zhang

Commonwealth Scientific and Industrial Research Organisation

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Jai Vaze

Commonwealth Scientific and Industrial Research Organisation

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Jin Teng

Commonwealth Scientific and Industrial Research Organisation

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Marie Ekström

Commonwealth Scientific and Industrial Research Organisation

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L. Zhang

Commonwealth Scientific and Industrial Research Organisation

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Cuan Petheram

Commonwealth Scientific and Industrial Research Organisation

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Dewi Kirono

CSIRO Marine and Atmospheric Research

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Hongxing Zheng

Commonwealth Scientific and Industrial Research Organisation

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