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Yosemite H ydroclimate N etwork: Distributed stream and atmospheric data for the T uolumne R iver watershed and surroundings
Author(s) -
Lundquist Jessica D.,
Roche James W.,
Forrester Harrison,
Moore Courtney,
Keenan Eric,
Perry Gwyneth,
Cristea Nicoleta,
Henn Brian,
Lapo Karl,
McGurk Bruce,
Cayan Daniel R.,
Dettinger Michael D.
Publication year - 2016
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1002/2016wr019261
Subject(s) - terrain , environmental science , watershed , streamflow , visibility , forcing (mathematics) , water year , snow , downscaling , wilderness area , hydrology (agriculture) , precipitation , wilderness , meteorology , geography , climatology , computer science , geology , drainage basin , cartography , ecology , geotechnical engineering , machine learning , biology
Abstract Regions of complex topography and remote wilderness terrain have spatially varying patterns of temperature and streamflow, but due to inherent difficulties of access, are often very poorly sampled. Here we present a data set of distributed stream stage, streamflow, stream temperature, barometric pressure, and air temperature from the Tuolumne River Watershed in Yosemite National Park, Sierra Nevada, California, USA, for water years 2002–2015, as well as a quality‐controlled hourly meteorological forcing time series for use in hydrologic modeling. We also provide snow data and daily inflow to the Hetch Hetchy Reservoir for 1970–2015. This paper describes data collected using low‐visibility and low‐impact installations for wilderness locations and can be used alone or as a critical supplement to ancillary data sets collected by cooperating agencies, referenced herein. This data set provides a unique opportunity to understand spatial patterns and scaling of hydroclimatic processes in complex terrain and can be used to evaluate downscaling techniques or distributed modeling. The paper also provides an example methodology and lessons learned in conducting hydroclimatic monitoring in remote wilderness.