Water Resources Research


Water Resources Research

Advancing Computational Methods In Hydrology

  1. Regular Article

    1. Top of page
    2. Regular Article
    3. Regular Articles
    4. Research Articles
    1. You have free access to this content
      Analytical model of leakage through fault to overlying formations

      Mehdi Zeidouni

      Version of Record online: 27 NOV 2012 | DOI: 10.1029/2012WR012582

      Key Points

      • Analytical model developed to evaluate leakage rate through a fault
      • Two-layer analytical solution extended to consider multiple overlying formations
      • Behavior and potential applications of the analytical model are examined
  2. Regular Articles

    1. Top of page
    2. Regular Article
    3. Regular Articles
    4. Research Articles
    1. You have free access to this content
      Coupling self-organizing maps with a Naïve Bayesian classifier: Stream classification studies using multiple assessment data (pages 7747–7762)

      Nikolaos Fytilis and Donna M. Rizzo

      Version of Record online: 26 NOV 2013 | DOI: 10.1002/2012WR013422

      Key Points

      • Development of a new classification tool
      • Naive Bayesian classifier coupled with a clustering neural network
      • Outperforms traditional classification methods
    2. You have free access to this content
      A partitioned update scheme for state-parameter estimation of distributed hydrologic models based on the ensemble Kalman filter (pages 7350–7365)

      Xianhong Xie and Dongxiao Zhang

      Version of Record online: 14 NOV 2013 | DOI: 10.1002/2012WR012853

      Key Points

      • State-parameter estimation for distributed hydrologic models is developed
      • The novel scheme can capture correct correlations between state and parameters
      • The partitioned update scheme is relevant to distributed hydrologic models
    3. You have free access to this content
      An adaptive sparse-grid high-order stochastic collocation method for Bayesian inference in groundwater reactive transport modeling (pages 6871–6892)

      Guannan Zhang, Dan Lu, Ming Ye, Max Gunzburger and Clayton Webster

      Version of Record online: 22 OCT 2013 | DOI: 10.1002/wrcr.20467

      Key Points

      • High-order stochastic collocation method is used for Bayesian inference
      • Adaptive sparse grids are employed to reduce computational cost
      • An iterative algorithm is proposed for simulating PPDF with multiple modes
    4. You have free access to this content
      Dynamic coupling of pore-scale and reservoir-scale models for multiphase flow (pages 5973–5988)

      Qiang Sheng and Karsten Thompson

      Version of Record online: 23 SEP 2013 | DOI: 10.1002/wrcr.20430

      Key Points

      • By providing real time relative permeability, it can respond to changes in Ca
      • Discrepancy between pore and continuum saturations must be addressed
      • Multiscale rate dependent simulations show unique results
    5. You have free access to this content
      Time series modeling and prediction of salinity in the Caloosahatchee River Estuary (pages 5804–5816)

      Chelsea Qiu and Yongshan Wan

      Version of Record online: 17 SEP 2013 | DOI: 10.1002/wrcr.20415

      Key Points

      • A time series model is developed to predict daily estuarine salinity.
      • Time series of freshwater inflow, rainfall, and tide are used as inputs.
      • Performance of the model is comparable to its 3D counterpart.
    6. You have free access to this content
      Toward computationally efficient large-scale hydrologic predictions with a multiscale regionalization scheme (pages 5700–5714)

      R. Kumar, B. Livneh and L. Samaniego

      Version of Record online: 13 SEP 2013 | DOI: 10.1002/wrcr.20431

      Key Points

      • MPR-derived parameters are transferable and scalable
      • A significant reduction in computation time can be realized with MPR
      • Climatic and land-cover conditions during calibration affect parametertransfer
    7. You have free access to this content
      A computational method for simulating subsurface flow and reactive transport in heterogeneous porous media embedded with flexible uncertainty quantification (pages 5740–5755)

      X. Chen, B. M. Ng, Y. Sun and C. H. Tong

      Version of Record online: 13 SEP 2013 | DOI: 10.1002/wrcr.20454

      Key Points

      • Present a flexible framework for embedding multi-physics simulations with UQ
      • Propogate global uncertainty and sensitivities at grid point level
      • Couple our framework with KLE to reactive transport in a 2-D heterogeneous media
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      A level set method for simulating capillary-controlled displacements at the pore scale with nonzero contact angles (pages 4645–4661)

      Espen Jettestuen, Johan O. Helland and Maša Prodanović

      Version of Record online: 5 AUG 2013 | DOI: 10.1002/wrcr.20334

      Key Points

      • The introduction of arbitrary contact angles in the level set method.
      • Validation of the developed method in idealized pore geometries
      • Simulation of capillary-controlled displacement in 3D porous structures.
    9. You have free access to this content
      Toward diagnostic model calibration and evaluation: Approximate Bayesian computation (pages 4335–4345)

      Jasper A. Vrugt and Mojtaba Sadegh

      Version of Record online: 29 JUL 2013 | DOI: 10.1002/wrcr.20354

      Key Points

      • Approximate Bayesian Computation for diagnostic model calibration and evaluation
      • General purpose methodology to assess which parts of the model are in error
      • An ensemble of signatures is required to extract the information from the data.
    10. You have free access to this content
      Tree-based iterative input variable selection for hydrological modeling (pages 4295–4310)

      S. Galelli and A. Castelletti

      Version of Record online: 29 JUL 2013 | DOI: 10.1002/wrcr.20339

      Key Points

      • A new approach to input selection for hydrological modeling is proposed.
      • The approach ensures computational efficiency, scalability, and non-redundancy.
      • A synthetic test case and a streamflow prediction problem are developed.
    11. You have free access to this content
      Improved spatial prediction: A combinatorial approach (pages 3927–3935)

      Conrad Wasko, Ashish Sharma and Peter Rasmussen

      Version of Record online: 3 JUL 2013 | DOI: 10.1002/wrcr.20290

      Key Points

      • Copulas can be used to interpolate hydrological spatial data
      • Interpolation predictions can be improved by combining forecasts
    12. You have free access to this content
      Advection around ventilated U-shaped burrows: A model study (pages 2907–2917)

      Andreas Brand, Jörg Lewandowski, Enrico Hamann and Gunnar Nützmann

      Version of Record online: 28 MAY 2013 | DOI: 10.1002/wrcr.20266

      Key Points

      • Advection occurs in sediments populated by organisms living in open ended tubes.
      • The effects of advection compensate each other with respect to total fluxes.
      • Advection can define a distinct microenvironment in the sediment.
    13. You have free access to this content
      A fast simulation method for uncertainty quantification of subsurface flow and transport (pages 2359–2379)

      Daniel W. Meyer, Hamdi A. Tchelepi and Patrick Jenny

      Version of Record online: 8 MAY 2013 | DOI: 10.1002/wrcr.20240

      Key Points

      • new polar Markovian velocity processes (PMVPs) to model macro-dispersion
      • generalization of PMVPs for inhomogeneous cases with conductivity measurements
      • validation of PMVP with Monte Carlo, CPU-time PMVP = CPU-time MC / 1000
    14. You have free access to this content
      Estimating epistemic and aleatory uncertainties during hydrologic modeling: An information theoretic approach (pages 2253–2273)

      Wei Gong, Hoshin V. Gupta, Dawen Yang, Kumar Sricharan and Alfred O. Hero III

      Version of Record online: 30 APR 2013 | DOI: 10.1002/wrcr.20161

      Key Points

      • Methods are provided to quantify information and uncertainty in data
      • Best achievable model performance for a given data set is estimated
      • Model adequacy is characterized in terms of Aleatory and Epistemic Uncertainties
    15. You have free access to this content
      An approach to quantifying the efficiency of a Bayesian filter (pages 2164–2173)

      Grey S. Nearing, Hoshin V. Gupta, Wade T. Crow and Wei Gong

      Version of Record online: 26 APR 2013 | DOI: 10.1002/wrcr.20177

      Key Points

      • Measure contributions to posterior uncertainty in data assimilation
      • Track information through a dynamic systems model
    16. You have free access to this content
      Mapping extreme snowfalls in the French Alps using max-stable processes (pages 1079–1098)

      J. Gaume, N. Eckert, G. Chambon, M. Naaim and L. Bel

      Version of Record online: 28 FEB 2013 | DOI: 10.1002/wrcr.20083

      Key Points

      • Analysis of extreme snowfall data using spatial extreme statistics
      • Mapping of extreme snowfall water equivalent using max-stable processes
      • Obtaining return level maps, operational tool for avalanche risk management
    17. You have free access to this content
      AVHRR-NDVI-based crop coefficients for analyzing long-term trends in evapotranspiration in relation to changing climate in the U.S. High Plains (pages 231–244)

      Denis Mutiibwa and Suat Irmak

      Version of Record online: 24 JAN 2013 | DOI: 10.1029/2012WR012591

      Key Points

      • Evaluating changes in ET fluxes in response to regional climate change
      • Estimation of crop coefficient from satellite acquired NDVI
      • Development of spatial ET surfaces from non-energy balance models
    18. You have free access to this content
      Evaluation of permeability and non-Darcy flow in vuggy macroporous limestone aquifer samples with lattice Boltzmann methods (pages 216–230)

      Michael C. Sukop, Haibo Huang, Pedro F. Alvarez, Evan A. Variano and Kevin J. Cunningham

      Version of Record online: 16 JAN 2013 | DOI: 10.1029/2011WR011788

      Key Points

      • With CT data, Lattice Boltzmann methods can measure extreme permeabilites
      • Lattice Boltzmann methods are capable of simulating non-Darcy flows
      • In some aquifers, non-Darcy flows can occur at low gradients
  3. Research Articles

    1. Top of page
    2. Regular Article
    3. Regular Articles
    4. Research Articles
    1. You have full text access to this OnlineOpen article
      Surface-subsurface model intercomparison: A first set of benchmark results to diagnose integrated hydrology and feedbacks (pages 1531–1549)

      Reed M. Maxwell, Mario Putti, Steven Meyerhoff, Jens-Olaf Delfs, Ian M. Ferguson, Valeriy Ivanov, Jongho Kim, Olaf Kolditz, Stefan J. Kollet, Mukesh Kumar, Sonya Lopez, Jie Niu, Claudio Paniconi, Young-Jin Park, Mantha S. Phanikumar, Chaopeng Shen, Edward A. Sudicky and Mauro Sulis

      Version of Record online: 22 FEB 2014 | DOI: 10.1002/2013WR013725

      Key Points

      • Seven hydrologic models were intercompared on standard benchmark problems
      • In general, though there are differences in approach, these models agree
      • Model differences can be attributed to solution technique and coupling strategy
    2. You have free access to this content
      Physics-based preconditioners for flow in fractured porous media (pages 1357–1373)

      T. H. Sandve, E. Keilegavlen and J. M. Nordbotten

      Version of Record online: 18 FEB 2014 | DOI: 10.1002/2012WR013034

      Key Points

      • Multiscale fractures are represented in a multilevel simulation strategy
      • Modeling and approximation errors can be controlled in the numerical method
      • Computational efficiency is gained by seeking inexact solutions
    3. You have free access to this content
      Comparison of simulated water, nitrate, and bromide transport using a Hooghoudt-based and a dynamic drainage model (pages 1080–1094)

      Mikkel Mollerup, Per Abrahamsen, Carsten T. Petersen and Søren Hansen

      Version of Record online: 12 FEB 2014 | DOI: 10.1002/2012WR013318

      Key Points

      • Using 1-D and 2-D simulations, we simulate drainage of water, bromide, and nitrate
      • On a yearly time scale, 1-D and 2-D simulation results for drainage are comparable
      • On a daily time scale, 1-D and 2-D simulation results for drainage are comparable
    4. You have free access to this content
      An information theoretic alternative to model a natural system using observational information alone (pages 650–660)

      Ashish Sharma and Raj Mehrotra

      Version of Record online: 27 JAN 2014 | DOI: 10.1002/2013WR013845

      Key Points

      • A nonparametric basis for characterising any natural system is presented
      • A new basis for identifying predictors is presented
      • A basis for establishing importance of predictors
    5. You have full text access to this OnlineOpen article
      Evaluating the performance of parallel subsurface simulators: An illustrative example with PFLOTRAN (pages 208–228)

      G. E. Hammond, P. C. Lichtner and R. T. Mills

      Version of Record online: 8 JAN 2014 | DOI: 10.1002/2012WR013483

      Key Points

      • Scientists must better understand the benefit of high-performance computing
      • PFLOTRAN's scalability is exceptional on multiple realistic subsurface problems
      • Understanding PFLOTRAN's scalability better educates on expected performance
    6. You have free access to this content
      Fast iterative implementation of large-scale nonlinear geostatistical inverse modeling (pages 198–207)

      Xiaoyi Liu, Quanlin Zhou, Peter K. Kitanidis and Jens T. Birkholzer

      Version of Record online: 8 JAN 2014 | DOI: 10.1002/2012WR013241

      Key Points

      • A fast solution methodology is developed for nonlinear geostatistical inversion
      • The methodology is extensible to other geostatistical inversion methods
    7. You have free access to this content
      An efficient framework for hydrologic model calibration on long data periods (pages 8418–8431)

      Saman Razavi and Bryan A. Tolson

      Version of Record online: 16 DEC 2013 | DOI: 10.1002/2012WR013442

      Key Points

      • Develop an efficient and robust framework for calibration on long data periods
      • Define representative short calibration periods as surrogates of full data
      • Establish a relationship between model performances on surrogate and full data

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