2014
DOI: 10.1080/07011784.2014.942164
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Modulation of linear and nonlinear hydroclimatic dynamics by mountain glaciers in Canada and Norway: Results from information-theoretic polynomial selection

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Cited by 22 publications
(35 citation statements)
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References 77 publications
(114 reference statements)
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“…detected for northern Europe (Wilson et al, 2010;Dahlke et al, 2012;Hall et al, 2014). Wilson et al (2010) and Fleming and Dahlke (2014) showed that trends in annual and seasonal streamflow as well as changes in extreme events can be linked to precipitation and temperature trends, whereas the signal induced by temperature seems to be more clearly reflected in streamflow series. Consistent with this, increasing trends in minimum flows have been observed across much of northern Sweden emphasizing the importance of the cryosphere on hydrological system's response (e.g.…”
Section: Introductionmentioning
confidence: 95%
“…detected for northern Europe (Wilson et al, 2010;Dahlke et al, 2012;Hall et al, 2014). Wilson et al (2010) and Fleming and Dahlke (2014) showed that trends in annual and seasonal streamflow as well as changes in extreme events can be linked to precipitation and temperature trends, whereas the signal induced by temperature seems to be more clearly reflected in streamflow series. Consistent with this, increasing trends in minimum flows have been observed across much of northern Sweden emphasizing the importance of the cryosphere on hydrological system's response (e.g.…”
Section: Introductionmentioning
confidence: 95%
“…Generally speaking, strongly nonlinear (parabolic) streamflow teleconnections appear substantially less prevalent here than in some other areas of the northern hemisphere (cf. [18,19]). Compared to the meteorological analyses of Wu et al [81], this outcome is loosely consistent for precipitation and strongly consistent for temperature, though they only considered the wintertime effects of ENSO.…”
Section: Discussionmentioning
confidence: 99%
“…This combination of fine sampling interval and low-pass filter thus suppresses very high-frequency noise while maintaining a high seasonal resolution. This high seasonal resolution, which is becoming widely used in hydroclimatological analyses (e.g., [13,19,28,29,78]), facilitates the study of seasonally transient physical hydrologic processes (such as the onset of the spring snowmelt freshet, or late-summer peak glacier meltwater production following exhaustion of the seasonal snowpack), which may last only a few weeks and can be easily obscured in monthly or seasonal averages or totals. It also expedites the identification of nonlinear effects which can similarly be lost to such temporal aggregation [13,34,53,62,66].…”
Section: Methodsmentioning
confidence: 99%
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