Slideshow
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Porosity, saturated matric potential, and saturated hydraulic conductivity from look-up tables and estimated through optimization(a, b) Porosity, (c, d) saturated matric potential, and (e, f) saturated hydraulic conductivity from (left) look-up tables and (right) estimated through optimization OPT6. The gray color represents grid cells for which parameters were not estimated.
Water Resour. Res., 48, W03515, doi:10.1029/2010WR010261 [Abstract]
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USGS streamflow gauges, measurement sites, observation wells, and land use and cover(a) Spatial distribution of USGS streamflow gauges of MOPEX data set, soil moisture measurement sites, and groundwater level observation wells (b) the land use and land cover.
Water Resour. Res., 48, W03502, doi:10.1029/2011WR010759 [Abstract]
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Analogy between landslide triggering model and concept of self-organized criticality illustrated with a modified version of the sandpile cellular automatonAnalogy between landslide triggering model and concept of self-organized criticality (SOC) illustrated with a modified version of the sandpile cellular automaton (introduced by Bak et al. [1987]) shown in the inset . The hillslope consists of soil columns with hexagonal cross section. Water flowing through subsurface modifies mechanical load and strength. A local perturbation initiates a chain reaction, moving loads in the downslope direction. A column's failure depends on its stabilizing forces and its mechanical interactions with neighbored columns. By assuming that a soil column can bear four "load units," the blue line marks the perimeter of columns in which load redistributions initiated by black sphere occurred.
Water Resour. Res., 48, W03535, doi:10.1029/2011WR010947 [Abstract]
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Locations of Galapagos Islands off the coast of Ecuador and Santa Cruz and San Cristobal islands; elevation of Santa Cruz Island and San Cristobal Island(a) Location of Galapagos Islands off the coast of Ecuador; (b) location of Santa Cruz and San Cristobal islands and the main inhabited towns; (c) Santa Cruz Island elevation from SRTM (Shuttle Radar Topography Mission) [d'Ozouville et al., 2008b] data and sampled locations are indicated; (d) San Cristobal Island elevation from SRTM data and location of spring sample (southern windward slope) are indicated. Springs are distinguished as high (‹420 m) versus low altitude (‹420 m).
Water Resour. Res., 48, W03508, doi:10.1029/2011WR010954 [Abstract]
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Ensemble average, standard deviation, and root-mean-square error of hydraulic head over the ensembleEnsemble average (second row), standard deviation (third row), and RMSE (fourth row) of hydraulic head over the ensemble before and after head data conditioning. Reference head field (first row) is also shown for comparison.
Water Resour. Res., 48, W03505, doi:10.1029/2011WR011195 [Abstract]
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Calcium concentration contours for the large 3-D domainCalcium concentration contours for the large 3-D domain. Concentrations units are mol cm−3.
Water Resour. Res., 48, W03527, doi:10.1029/2011WR011404 [Abstract]
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Location of Upper Blue Nile basin and gauging stationsLocation of Upper Blue Nile basin and rainfall and river flow gauging stations used in the study.
Water Resour. Res., 48, W03513, doi:10.1029/2011WR011466 [Abstract]
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Maps of Pareto approximate parameter set sizes for the MOPEX catchmentsMaps of Pareto approximate parameter set sizes for the 392 MOPEX catchments generated by both HYMOD and HBV. Red represents large Pareto sets (1000+ parameter sets), while blue represents small (or collapsed) Pareto sets (one optimal parameter set). A cumulative distribution function plot of the MOPEX catchment count versus Pareto approximate set size for HYMOD and HBV is shown in the corner of each map.
Water Resour. Res., 48, W03520, doi:10.1029/2011WR011534 [Abstract]
Most Cited
The AGU "Most Cited" count includes only primary, peer-reviewed sources provided by the more than 3800 publishers who participate in CrossRef. The count is updated every Monday for the previous week... [More]
(1214) A new model for predicting the hydraulic conductivity of unsaturated porous media
(925) Electromagnetic determination of soil water content: Measurements in coaxial transmission lines
(774) Three-dimensional stochastic analysis of macrodispersion in aquifers
(708) Macropores and water flow in soils
(673) Empirical equations for some soil hydraulic properties
Most Viewed
The AGU "Most Viewed" is the single count per unique visit to the published article or paper in press. The count is updated every Monday for the previous week. For published articles, see drop-down menu for 30, 60, 90 day, and 1 year counts.
PUBLISHED ARTICLES
(476) Catchment hydrological responses to forest harvest amount and spatial pattern
(102) On the risk of obtaining misleading results by pooling streamflow data for trend analyses
(73) On the distributions of seasonal river flows: Lognormal or power law?
(71) On the effects of seasonality on soil water balance and plant growth
PAPERS IN PRESS
(32) Why continuous simulation? The role of antecedent moisture in design flood estimation
(27) Delineation of recharge rate from a hybrid water-table fluctuation method
(18) Estimating annual precipitation for the Colorado River Basin using oceanic-atmospheric oscillations
Featured Articles
A new and efficient approach to imaging underground hydraulic environments
A general approach to spontaneous imbibition
Model estimates soil permeability using induced polarization
News and Info
With the approval of the AGU Hydrology Section Executive Committee, WRR has instituted an Editors’ Choice Award to be given to (about) the top one percent of published articles in any calendar year. Our goal is to provide professional recognition to scientists and students for their outstanding work. The selection is made by the WRR Editors based on technical significance, novelty, originality, presentation, and broader implications of the publication. Awards made in a given year are for articles published in the previous calendar year. We are pleased to announce that the following contributions are being recognized for 2010 award year:
Julien J. Harou, Josué Medellín-Azuara, Tingju Zhu, Stacy K. Tanaka, Jay R. Lund, Scott Stine, Marcelo A. Olivares, and Marion W. Jenkins, “Economic consequences of optimized water management for a prolonged, severe drought in California” (doi:10.1029/2008WR007681).
Luis Samaniego, Rohini Kumar, and Sabine Attinger, “Multiscale parameter regionalization of a grid-based hydrologic model at the mesoscale” (doi:10.1029/2008WR007327).
Elizabeth H. Keating, John Doherty, Jasper A. Vrugt, and Qinjun Kang, “Optimization and uncertainty assessment of strongly nonlinear groundwater models with high parameter dimensionality” (doi:10.1029/2009WR008584).
Dmitri Kavetski and Martyn P. Clark, “Ancient numerical daemons of conceptual hydrological modeling: 2. Impact of time stepping schemes on model analysis and prediction” (doi:10.1029/2009WR008896).
Lance F. W. Lesack and Philip Marsh, “River-to-lake connectivities, water renewal, and aquatic habitat diversity in the Mackenzie River Delta” (doi:10.1029/2010WR009607).
AGU Journals Increase in Importance According to 2010 Impact Factors [PDF]
Call for Papers
Climatic, Hydrological, and Land Use Impacts on Large Rivers
Water Resources Research in the News
President Obama mentions WRR research paper on algae in an energy speech on 23 February 2012. More information about this paper is available on AGU's GeoSpace blog, see: Pond scum a viable alternative to imported oil.
After canals go in, fish diversity goes up… many millenia from now (GeoSpace Blog)
Beaches can harbor hidden oil long after spills (GeoSpace Blog)
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Cover Images
WRR is now accepting submissions for journal cover images. Cover images can be figures from a published paper, or images or photographs from research related to the paper. Cover images should be in color and have a resolution of at least 300 dpi. If you would like to submit an image for consideration, please send it (along with a short caption) to wrr@agu.org.
Water Resources Research is an interdisciplinary journal that publishes original research in the natural and social sciences of water. This includes the role of water in the physical, chemical, biological, and ecological sciences; public health; and related social and policy sciences. It encompasses methodological development of observational, experimental, theoretical, analytical, numerical, and data driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.
Impact Factor 2.737 in the 2010 Journal Citation Reports
ISSN 0043–1397 (Print)
ISSN 1944–7973 (Online)
CODEN: WRERAQ
WRR Editorial [pdf]