Water Resources Research

Journal Information
ISSN / EISSN : 00431397 / 19447973
Current Publisher: American Geophysical Union (AGU) (10.1029)
Former Publisher: Wiley (10.1002)
Total articles ≅ 18,594
Google Scholar h5-index: 70
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Guillem Sole-Mari, Daniel Fernàndez-Garcia, Xavier Sanchez-Vila, Diogo Bolster
Water Resources Research; doi:10.1029/2019wr026993

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Maximilian Ramgraber, Matteo Camporese, Philippe Renard, Paolo Salandin, Mario Schirmer
Water Resources Research, Volume 56; doi:10.1029/2019wr026777

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N.J. Baker, M. J. Taylor, I. G. Cowx, J. P. Harvey, A. D. Nunn, N. V. Angelopoulos, M. A. Smith, R. A. Noble, M. Tinsdeall, J. Baxter, et al.
Water Resources Research, Volume 56; doi:10.1029/2018wr024196

The publisher has not yet granted permission to display this abstract.
Published: 1 June 2020
by Wiley
Water Resources Research, Volume 56; doi:10.1002/wrcr.24004

Dongyue Li, Konstantinos M. Andreadis, Steven A. Margulis, Dennis P. Lettenmaier
Water Resources Research, Volume 56; doi:10.1029/2019wr026999

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Xiaoli Yang, Mengru Zhang, Xiaogang He, Liliang Ren, Ming Pan, Xiaohan Yu, Zhongwang Wei, Justin Sheffield
Water Resources Research, Volume 56; doi:10.1029/2019wr025843

Abstract:
How human activities have altered hydrological droughts (streamflow deficits) in China during the past five decades (1961‐2016) is investigated using the latest version (v2.0) of PCR‐GLOBWB model at high spatial resolution (~10 km). Although both human activities and climate variability have significant effects on river flows over China, there are large regional north‐south contrasts. Over northern China, human activities generally intensify hydrological droughts. We find that human activities exacerbated drought deficit by about 70%‐200% from 2004 to 2015. In contrast, droughts over southern China are generally alleviated by human activities. For instance, irrigation and water management (such as reservoir operation and water abstraction) increase drought StDef (standardized drought deficit volume) by about 80% in the Yellow River (north) but reduce it by about 20% in the Yangtze River (south). Human activities slightly reduce drought deficit in the Yangtze River due to the combination of large reservoir storage and low ratio of agriculture consumption to abstracted irrigation water. In contrast, hydrological drought is aggravated in the semi‐arid Yellow River basin because of high water consumption from agricultural sectors. This study suggests that human activities have contrasting influences on hydrological drought characteristics in the northern (intensification) and southern (mitigation) parts of China. Therefore, it is critical to consider the variable roles of human activities on hydrological drought in China when developing mitigation and adaptation strategies.
M.-A. Boucher, J. Quilty, J. Adamowski
Water Resources Research, Volume 56; doi:10.1029/2019wr026226

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Karl Rittger, Mark S. Raleigh, Jeff Dozier, Alice F. Hill, James A. Lutz, Thomas H. Painter
Water Resources Research, Volume 56; doi:10.1029/2019wr024914

Abstract:
Maps of snow cover serve as early indicators for hydrologic forecasts and as inputs to hydrologic models that inform water management strategies. Advances in snow cover mapping have led to increasing accuracy, but unsatisfactory treatment of vegetation's interference when mapping snow has led to maps that have limited utility for water forecasting. Vegetation affects snow mapping because ground surfaces not visible to the satellite produce uncertainty as to whether the ground is snow covered. At nadir, the forest canopy obscures the satellite view below the canopy. At oblique viewing angles, the forest floor is obscured by both the canopy and the projection of tree profiles onto the forest floor. We present a canopy correction method based on Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery validated with field observations that mitigates geometric and geo‐registration issues associated with changing satellite acquisition angles in forested areas. The largest effect from a variable viewing zenith angle (VZA) on the viewable gap fraction (VGF) in forested areas occurs in moderately forested areas with 30‐40% tree canopy coverage. Cloud cover frequently causes errors in snow identification, with some clouds identified as snow and some snow identified as cloud. A snow‐cloud identification method utilizes a time series of fractional vegetation and rock land‐surface data to flag snow‐cloud identification errors and improve snow‐map accuracy reducing bias by 20% over previous methods. Together, these contributions to snow‐mapping techniques could advance hydrologic forecasting in forested, snow‐dominated basins that comprise an estimated 1/5 of Northern Hemisphere snow‐covered areas.
V. Ruiz‐Villanueva, C. Gamberini, E. Bladé, M. Stoffel, W. Bertoldi
Water Resources Research; doi:10.1029/2019wr026221

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Jayaram Pudashine, Adrien Guyot, Francois Petitjean, Valentijn R. N. Pauwels, Remko Uijlenhoet, Alan Seed, Mahesh Prakash, Jeffrey P. Walker
Water Resources Research; doi:10.1029/2019wr026255

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