2020
DOI: 10.1111/1752-1688.12871
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The Influence of Climate Variability on the Accuracy of NHD Perennial and Nonperennial Stream Classifications

Abstract: National Hydrography Dataset (NHD) stream permanence classifications (SPC; perennial, intermittent, and ephemeral) are widely used for data visualization and applied science, and have implications for resource policy and management. NHD SPC were assigned using a combination of topographic field surveys and interviews with local residents. However, previous studies indicate that non-NHD, in situ streamflow observations (NNO) frequently disagree with NHD SPC. We hypothesized that differences in annual climate co… Show more

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Cited by 25 publications
(21 citation statements)
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“…A subset of these observations were used for the development of the streamflow permanence model, PROSPER, which provides spatially continuous probabilities of year round flow for streams aligned with the NHD medium resolution stream grids for the Pacific Northwest Region [ 7 ]. This dataset has also been used to evaluate the accuracy of existing streamflow permanence classifications [ 11 , 25 ].…”
Section: Applications Of Streamflow Presence Datamentioning
confidence: 99%
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“…A subset of these observations were used for the development of the streamflow permanence model, PROSPER, which provides spatially continuous probabilities of year round flow for streams aligned with the NHD medium resolution stream grids for the Pacific Northwest Region [ 7 ]. This dataset has also been used to evaluate the accuracy of existing streamflow permanence classifications [ 11 , 25 ].…”
Section: Applications Of Streamflow Presence Datamentioning
confidence: 99%
“…Understanding the streamflow permanence of headwater streams is important for regulatory determinations and policy [17][18][19], water resource management [20], and ecological processes [4,10,[21][22][23]; however, streamflow data remain sparse for headwater non-perennial streams, and current streamflow permanence classifications (perennial or non-perennial) often disagree with in situ observations [24][25][26]. Given the abundance of non-perennial streams both within the U.S. (Figure 1) and globally [11], and the prospect of declining stream flows in the future [16,27,28], accurately characterizing streamflow permanence represents a major challenge to understanding water availability now and throughout the 21st century [24,25]. Consequently, there have been several recent calls to fill this critical data gap [29][30][31], with van Meerveld et al [31] aptly likening the lack of knowledge of non-perennial headwater streams to, "a puzzle with most pieces still under the carpet."…”
Section: Introductionmentioning
confidence: 99%
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