2021
DOI: 10.1029/2020wr028425
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Identification of Seasonal Streamflow Regimes and Streamflow Drivers for Daily and Peak Flows in Alaska

Abstract: Alaska is among northern high‐latitude regions where accelerated climate change is expected to impact streamflow properties, including seasonality and primary flow drivers. Evaluating changes to streamflow, including flood characteristics, across this large and diverse environment can be improved by identifying the distribution and influence of flow drivers. Using metrics of mean monthly streamflow data from 253 streamgages, seasonal flow regimes were clustered to guide identification of seasonal flow drivers … Show more

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Cited by 22 publications
(37 citation statements)
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References 68 publications
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“…We defined four hydroclimatic periods that represent time‐varying hydrologic process common to most glacierized catchments and therefore can be widely transferrable (e.g., Curran & Biles, 2021; Fountain & Tangborn, 1985, see Sections 2.3 and 4.2). Here the divisions between periods were manually determined, leveraging the stark differences between periods; however, a machine learning‐based approach can be developed and is the subject of ongoing work.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…We defined four hydroclimatic periods that represent time‐varying hydrologic process common to most glacierized catchments and therefore can be widely transferrable (e.g., Curran & Biles, 2021; Fountain & Tangborn, 1985, see Sections 2.3 and 4.2). Here the divisions between periods were manually determined, leveraging the stark differences between periods; however, a machine learning‐based approach can be developed and is the subject of ongoing work.…”
Section: Discussionmentioning
confidence: 99%
“…Hydrograph classification has been used extensively to determine characteristic responses to hydroclimatic forcing and to better determine the mechanisms behind complex hydrologic process and flow paths (Olden et al., 2012). Specifically, it has been applied to glacierized watersheds using a range of methods, at various spatial and temporal scales (Curran & Biles, 2021; Hannah et al., 2000; Sergeant et al., 2020; Swift et al., 2005). Similarly, concentration discharge relationships have been used to determine watershed hydrologic function and water sources (Evans & Davies, 1998; Godsey et al., 2009; Maher, 2011; McGlynn & McDonnell, 2003).…”
Section: Introductionmentioning
confidence: 99%
“…To explore concentration‐discharge relationships we chose stream sites that have at least 12 paired concentration and discharge measurements for HCO3 ${\text{HCO}}_{3}^{-}$, Ca 2+ , Mg 2+ , Na * (Cl‐corrected; Ibarra et al., 2016; Moon et al., 2014), K + , SO42 ${\text{SO}}_{4}^{2-}$, SiO 2 , and TSS resulting in 34 stream sites total that fit our criteria. For watershed boundaries of the 34 stream sites with requisite C ‐ Q data, we use the watersheds delineated by Curran and Biles (2021).…”
Section: Study Area and Methodsmentioning
confidence: 99%
“…Relevant and recent discussion of the hydrology of Alaska rivers is provided by Curran and Biles (2021). They categorize rivers into three broad classes, based upon the timing of peak flow and also the main drivers of flow.…”
Section: Usgs Gauge Datamentioning
confidence: 99%
“…Finally, highelevation melt watersheds (category 3) see a broad peak that spans summer months and is due to high-elevation snow melt and also ice-melt from glacier surfaces. Curran and Biles (2021) go on to subdivide (A, B, C, etc.) these classes based upon finer-scale details of the timing and magnitudes of hydrographs within each category.…”
Section: Usgs Gauge Datamentioning
confidence: 99%