Hydro-climatic data network (HCDN); a U.S. Geological Survey streamflow data set for the United States for the study of climate variations, 1874-1988

Slack, James Richard; Landwehr, Jurate M.

doi:10.3133/ofr92129

Cited by 288 publications

(237 citation statements)

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“…1): (1) the streamflow gauge stations must contain continuous data for at least 50 years (monthly or daily data), (2) have reduced or be completely free from water diversion, reservoir storage, and other anthropogenic regulations, and (3) have irrigated land occupying less than 10% of the draining watersheds. Of the 99 stations that satisfied these criteria, 53 stations were part of the USGS's Hydro-Climatic Data Network (HCDN; Slack and Landwehr, 1992), 43 stations were found to have very minimal to no impact from diversion, regulation or irrigation, and three stations had less than 10% of draining land impacted by irrigation. Areas of the draining watersheds ranged from 61.5 km 2 in the farthest upstream tributaries in Wyoming to 54,708 km 2 of the James River in South Dakota.…”

Section: Datamentioning

confidence: 99%

Annual baseflow variations as influenced by climate variability and agricultural land use change in the Missouri River Basin

Ahiablame

Sheshukov

Rahmani

et al. 2017

Journal of Hydrology

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a b s t r a c tThe Missouri River system has a large water storage capacity, where baseflow plays an important role. Understanding historical baseflow characteristics with respect to climate and land use impacts is essential for effective planning and management of water resources in the Missouri River Basin (MORB). This study evaluated statistical trends in baseflow and precipitation for 99 MORB minimally disturbed watersheds during 1950-2014. Elasticity of baseflow to climate variability and agricultural land use change were quantified for the 99 studied watersheds. Baseflow was derived from daily streamflow records with a recursive digital filter method. The results showed that baseflow varied between 38 and 80% (0 and 331 mm/year) of total streamflow with an average of 60%, indicating that more than half of streamflow in the MORB is derived from baseflow. The trend analysis revealed that precipitation increased during the study period in 78 out of 99 watersheds, leading to 1-3.9% noticeable increase in baseflow for 68 of 99 watersheds. Although the changes in baseflow obtained in this study were a result of the combined effects of climate and land use change across the basin, upward trends in baseflow generally coincide with increased precipitation and agricultural land use trends in the basin. Agricultural land use increase mostly led to a 0-5.7% decrease in annual baseflow in the basin, except toward east of the basin where baseflow mostly increased with agricultural land use increase (0.1-2.0%). In general, a 1% increase in precipitation and a 1% increase in agricultural land use resulted in 1.5% increase and 0.2% decrease in baseflow, respectively, during the study period. These results are entirely dependent on the quality of data used; however, they provide useful insight into the relative influence of climate and land use change on baseflow conditions in the Great Plains region of the USA.

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Section: Datamentioning

confidence: 99%

Annual baseflow variations as influenced by climate variability and agricultural land use change in the Missouri River Basin

Ahiablame

Sheshukov

Rahmani

et al. 2017

Journal of Hydrology

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“…These gauges, which include most of the Hydroclimatic Data Network gauges (50), are relatively unaffected by flow regulation and characterize major ecoregions and river basins (ref. 51; http://water.usgs.gov/nsip/federalgoals.html); therefore, discharge records from these gauges can be used to describe hydrologic changes caused by factors other than flow regulation, e.g., climate change.…”

Section: Selection Of Long-term Streamflow Gaugesmentioning

confidence: 99%

Homogenization of regional river dynamics by dams and global biodiversity implications

Poff¹,

Olden

Merritt

et al. 2007

Proc. Natl. Acad. Sci. U.S.A.

1,269

866

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Global biodiversity in river and riparian ecosystems is generated and maintained by geographic variation in stream processes and fluvial disturbance regimes, which largely reflect regional differences in climate and geology. Extensive construction of dams by humans has greatly dampened the seasonal and interannual streamflow variability of rivers, thereby altering natural dynamics in ecologically important flows on continental to global scales. The cumulative effects of modification to regional-scale environmental templates caused by dams is largely unexplored but of critical conservation importance. Here, we use 186 long-term streamflow records on intermediate-sized rivers across the continental United States to show that dams have homogenized the flow regimes on third-through seventh-order rivers in 16 historically distinctive hydrologic regions over the course of the 20th century. This regional homogenization occurs chiefly through modification of the magnitude and timing of ecologically critical high and low flows. For 317 undammed reference rivers, no evidence for homogenization was found, despite documented changes in regional precipitation over this period. With an estimated average density of one dam every 48 km of third-through seventh-order river channel in the United States, dams arguably have a continental scale effect of homogenizing regionally distinct environmental templates, thereby creating conditions that favor the spread of cosmopolitan, nonindigenous species at the expense of locally adapted native biota. Quantitative analyses such as ours provide the basis for conservation and management actions aimed at restoring and maintaining native biodiversity and ecosystem function and resilience for regionally distinct ecosystems at continental to global scales. disturbance ͉ natural flow regime ͉ ecosystem sustainability ͉ environmental template

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“…Hurst [1951] found that d = H À 0.5 % 0.23 for a variety of geophysical time series. Vogel et al [1998] looked at the Hurst coefficient corresponding to the USGS's Hydroclimatic Data Network (HCDN) data set [Slack and Landwehr, 1992], and found that, given the shortness of the records, the correlation structure could be explained either by LTP or by non-LTP Box-Jenkins ARMA processes. Assuming that the correla- …”

Section: Trend Test Performancementioning

confidence: 99%

Nature's style: Naturally trendy

Cohn

Lins

2005

Geophysical Research Letters

338

310

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Hydroclimatological time series often exhibit trends. While trend magnitude can be determined with little ambiguity, the corresponding statistical significance, sometimes cited to bolster scientific and political argument, is less certain because significance depends critically on the null hypothesis which in turn reflects subjective notions about what one expects to see. We consider statistical trend tests of hydroclimatological data in the presence of long‐term persistence (LTP). Monte Carlo experiments employing FARIMA models indicate that trend tests which fail to consider LTP greatly overstate the statistical significance of observed trends when LTP is present. A new test is presented that avoids this problem. From a practical standpoint, however, it may be preferable to acknowledge that the concept of statistical significance is meaningless when discussing poorly understood systems.

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Hydro-climatic data network (HCDN); a U.S. Geological Survey streamflow data set for the United States for the study of climate variations, 1874-1988

Cited by 288 publications

References 0 publications

Annual baseflow variations as influenced by climate variability and agricultural land use change in the Missouri River Basin

Annual baseflow variations as influenced by climate variability and agricultural land use change in the Missouri River Basin

Homogenization of regional river dynamics by dams and global biodiversity implications

Nature's style: Naturally trendy

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