Stationarity of AMAX series of short-duration rainfall for long-term Canadian stations: detection of jumps and trends

Clarke, Colin; Hulley, Mike; Maršálek, Jiří; Watt, Ed

doi:10.1139/l11-080

Cited by 10 publications

(5 citation statements)

References 14 publications

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“…Monotonic temporal trends in hydroclimatic and BF data were analysed using Mann–Kendall tests, adjusted for temporal autocorrelation in the data (Clarke, Hulley, Marsalek, & Watt, ). Equations for trend lines were estimated using the Kendall–Theil robust line (Version 1.0, Granato, ), a nonparametric regression approach resistant to outliers and skewness (Meyer, ).…”

Section: Methodsmentioning

confidence: 99%

“…FIGURE 1 Selected basins draining the Oak Ridges Moraine (ORM) with >25 years of streamflow records to 2012 from the Water Survey of Canada, the ORM management boundary, and the extent of outcropping glaciofluvial deposits (OGS, 2003). Characteristics of each of the numbered basins are given in Table 1 2.2.4 | Temporal trends Monotonic temporal trends in hydroclimatic and BF data were analysed using Mann-Kendall tests, adjusted for temporal autocorrelation in the data (Clarke, Hulley, Marsalek, & Watt, 2011). Equations for trend lines were estimated using the Kendall-Theil robust line (Version 1.0, Granato, 2006), a nonparametric regression approach resistant to outliers and skewness (Meyer, 2005).…”

Section: Baseflowmentioning

confidence: 99%

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Mediating stream baseflow response to climate change: The role of basin storage

Buttle

2018

Hydrological Processes

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Inter‐basin differences in streamflow response to changes in regional hydroclimatology may reflect variations in storage characteristics that control the retention and release of water inputs. These aspects of storage could mediate a basin's sensitivity to climate change. The hypothesis that temporal trends in stream baseflow exhibit a more muted reaction to changes in precipitation and evapotranspiration for basins with greater storage was tested on the Oak Ridges Moraine (ORM) in Southern Ontario, Canada. Long‐term (>25 years) baseflow trends for 16 basins were compared to corresponding trends in precipitation amount and type and in potential evapotranspiration as well as shorter trends in groundwater levels for monitoring wells on the ORM. Inter‐basin differences in storage properties were characterized using physiographic, hydrogeologic, land use/land cover, and streamflow metrics. The latter included the slope of the basin's flow duration curve and basin dynamic storage. Most basins showed temporal increases in baseflow, consistent with limited evidence of increases and decreases in regional precipitation and snowfall: precipitation ratio, respectively, and recent increases in groundwater recharge along the crest of the ORM. Baseflow trend magnitude was uncorrelated to basin physiographic, hydrogeologic, land use/land cover, or flow duration curve characteristics. However, it was positively related to a basin's dynamic storage, particularly for basins with limited coverage of open water and wetlands. The dynamic storage approach assumes that a basin behaves as a first‐order dynamical system, and extensive open water and wetland areas in a basin may invalidate this assumption. Previous work suggested that smaller dynamic storage was linked to greater damping of temporal variations in water inputs and reduced interannual variability in streamflow regime. Storage and release of water inputs to a basin may assist in mediating baseflow response to temporal changes in regional hydroclimatology and may partly account for inter‐basin differences in that response. Such storage characteristics should be considered when forecasting the impacts of climate change on regional streamflow.

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Section: Methodsmentioning

confidence: 99%

Section: Baseflowmentioning

confidence: 99%

Mediating stream baseflow response to climate change: The role of basin storage

Buttle

2018

Hydrological Processes

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“…Worldwide, several studies have engaged in assessing the trends and variability in hydrometeorological data, mainly rainfall and temperature, at regional level (e.g., [18][19][20]) as well as country levels (e.g., [11,13,14,18,[21][22][23][24][25][26]) to mention only very few contributions. In contrast, for many of the Middle East countries, mainly arid and semiarid regions such as the Gulf peninsula, research coverage is still inadequate despite recent works [20].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Seasonal and Annual Rainfall Trends and Variability in Sharjah City, UAE

Merabtene

Siddique

Shanableh

2016

Advances in Meteorology

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Although a few studies on rainfall spatial and temporal variability in the UAE have been carried out, evidence of the impact of climate change on rainfall trends has not been reported. This study aims at assessing the significance of long-term rainfall trends and temporal variability at Sharjah City, UAE. Annual rainfall and seasonal rainfall extending over a period of 81 years recorded at Sharjah International Airport have been analyzed. To this end, several parametric and nonparametric statistical measures have been applied following systematic data quality assessment. The analyses revealed that the annual rainfall trend decreased from −3 mm to −9.4 mm per decade over the study periods. The decreasing annual rainfall trend is mainly driven by the significant drop in winter rainfall, particularly during the period from 1977 to 2014. The results also indicate that high probability extreme events have shifted toward low frequency (12.7 years) with significant variations in monthly rainfall patterns and periodicity. The findings of the present study suggest reevaluating the derivation of design rainfall for infrastructure of Sharjah City and urge developing an integrated framework for its water resources planning and risk under climate change impacts scenarios.

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“…There have been many studies at different parts of the world showing an evidence of statistically significant trends in the historical rainfall and runoff data (e.g. Mansell, 1997;Brunetti et al, 2001;Oguntunde et al, 2006;Budhakooncharoen, 2008;Skaf and Mathbout, 2010;Clarke et al, 2011;Haddad et al, 2011a;Zende et al, 2012;Tang and Arnone, 2013;Ishak et al, 2013;Thomas et al, 2013;Al-Houri, 2014;Swain et al, 2015 andAhmad et al, 2015). Brunetti et al (2001) examined trends in seasonal and annual precipitation and number of rainy days data at seven rainfall stations located in northeastern Italy and found a negative trend in the number of wet days.…”

Section: Introductionmentioning

confidence: 99%

Trend detection in short and long duration storm events: a case study for NSW, Australia

Hajani

Rahman

2015

Weber, T., McPhee, M.J. And Anderssen, R.S. (Eds) MODSIM2015, 21st International Congress on Modelling and Simulation

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Anthropogenic climate change is one of the key challenges the earth is facing today, which affects many aspects of the environment. Climate change affects hydrological cycle including rainfall, evaporation, soil moisture and catchment runoff. Change in rainfall has significant implications as it influences floods, droughts, vegetation and ecology. There have been numerous studies on trend identification in annual rainfall data; however, a trend in extreme rainfall data has received relatively less attention. Trends in the extreme rainfalls would affect design and operation of many engineering structures in near future. This paper examines the trends in annual maximum rainfall data from 20 pluviograph stations in New South Wales (NSW), Australia by using two non-parametric tests, Mann-Kendall (MK) and Spearman's Rho (SR) tests. Rainfall events data are analysed for fifteen different durations ranging from 6 minutes to 3 days. The relationship between the observed trends and elevations of pluviograph stations, mean annual rainfall and Southern Oscillation Index (SOI) are examined. It is found that trends are generally influenced by these catchment and climate indices; however, no significant link could be established. The results of the MK and SR test statistics are found to be modestly correlated with the mean annual rainfall and the elevation of the pluviograph stations, with a maximum correlation coefficient of 0.31. It has been found that the correlation coefficient between MK test statistic and mean annual rainfall is higher for the longer durations than the shorter duration rainfall events. In case of correlation between the MK test statistic and elevation, it has been found that the correlation coefficient is higher for the shorter durations than the longer duration events. It has also been found that the SOI index is weakly correlated with monthly maximum rainfall data. Overall, this study shows that there are little trends in the rainfall events data in NSW that could be deemed to be significant.

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Stationarity of AMAX series of short-duration rainfall for long-term Canadian stations: detection of jumps and trends

Cited by 10 publications

References 14 publications

Mediating stream baseflow response to climate change: The role of basin storage

Mediating stream baseflow response to climate change: The role of basin storage

Assessment of Seasonal and Annual Rainfall Trends and Variability in Sharjah City, UAE

Trend detection in short and long duration storm events: a case study for NSW, Australia

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