{"id":1020,"date":"2020-04-26T21:42:02","date_gmt":"2020-04-27T01:42:02","guid":{"rendered":"http:\/\/hydrouncertainty.org\/?p=1020"},"modified":"2020-04-26T21:42:04","modified_gmt":"2020-04-27T01:42:04","slug":"latest-publications-on-hydrologic-uncertainty-april-2020","status":"publish","type":"post","link":"http:\/\/hydrouncertainty.org\/2020\/04\/26\/latest-publications-on-hydrologic-uncertainty-april-2020\/","title":{"rendered":"Latest Publications on ‘Hydrologic Uncertainty’ – April 2020"},"content":{"rendered":"\n

Water Resources Research: <\/h2>\n\n\n\n
  1.  Herman, J. D., Quinn, J. D., Steinschneider,\nS., Giuliani, M., & Fletcher, S. (2019). Climate adaptation as a control\nproblem: Review and perspectives on dynamic water resources planning under\nuncertainty. Water Resources Research<\/em>, e24389.\nhttps:\/\/doi.org\/10.1029\/2019WR025502<\/a>\n<\/li>
  2. Nguyen, H., Mehrotra, R., & Sharma, A. (2020). Assessment\nof Climate Change Impacts on Reservoir Storage Reliability, Resilience, and\nVulnerability Using a Multivariate Frequency Bias Correction Approach. Water Resources Research<\/em>, 56<\/em>(2), e2019WR026022. https:\/\/doi.org\/10.1029\/2019WR026022<\/a>\n<\/li>
  3. Dell’Oca, A., Riva, M., & Guadagnini, A. (2020). Global\nSensitivity Analysis for Multiple Interpretive Models with Uncertain\nParameters. Water Resources Research<\/em>, 56<\/em>(2), e2019WR025754. https:\/\/doi.org\/10.1029\/2019WR025754<\/a>\n<\/li>
  4. Tajiki, M., Schoups, G., Hendricks Franssen, H. J.,\nNajafinejad, A., & Bahremand, A. (2020). Recursive Bayesian estimation of\nconceptual rainfall\u2010runoff\nmodel errors in real\u2010time\nprediction of streamflow. Water Resources Research<\/em>, 56<\/em>(2), e2019WR025237.\nhttps:\/\/doi.org\/10.1029\/2019WR025237<\/a>\n<\/li>
  5. Niu, Y., Mostaghimi, P., Shabaninejad, M., Swietojanski, P.,\n& Armstrong, R. T. (2020). Digital rock segmentation for petrophysical\nanalysis with reduced user bias using convolutional neural networks. Water Resources Research<\/em>, 56<\/em>(2), e2019WR026597. https:\/\/doi.org\/10.1029\/2019WR026597<\/a>\n<\/li>
  6. Gelsinari, S., Doble, R., Daly, E., & Pauwels, V. R.\n(2020). Feasibility of Improving Groundwater Modeling by Assimilating\nEvapotranspiration Rates. Water Resources Research<\/em>, 56<\/em>(2), e2019WR025983.\nhttps:\/\/doi.org\/10.1029\/2019WR025983<\/a>\n<\/li>
  7. Alawadhi, A., & Tartakovsky, D. M. (2020). Bayesian\nUpdate and Method of Distributions: Application to Leak Detection in\nTransmission Mains. Water Resources Research<\/em>. https:\/\/doi.org\/10.1029\/2019WR025879<\/a>\n<\/li>
  8. Wang, S., Taha, A. F., Sela, L., Giacomoni, M. H., &\nGatsis, N. (2020). A New Derivative\u2010Free\nLinear Approximation for Solving the Network Water Flow Problem With\nConvergence Guarantees. Water Resources Research<\/em>, 56<\/em>(3). https:\/\/doi.org\/10.1029\/2019WR025694<\/a>\n<\/li>
  9. Zhang, J., Vrugt, J. A., Shi, X., Lin, G., Wu, L., &\nZeng, L. Improving Simulation Efficiency of MCMC for Inverse Modeling of\nHydrologic Systems with a Kalman\u2010Inspired\nProposal Distribution. Water Resources Research<\/em>. https:\/\/doi.org\/10.1029\/2019WR025474<\/a>\n<\/li>
  10. Tran, V. N., Dwelle, M. C., Sargsyan, K.,\nIvanov, V. Y., & Kim, J. (2020). A novel modeling framework for\ncomputationally efficient and accurate real\u2010time\nensemble flood forecasting with uncertainty quantification. Water Resources Research<\/em>. https:\/\/doi.org\/10.1029\/2019WR025727<\/a>\n<\/li>
  11. Guo, D., Zheng, F., Gupta, H., & Maier, H.\nR. On the Robustness of Conceptual Rainfall\u2010Runoff\nModels to Calibration and Evaluation Dataset Splits Selection: A Large Sample\nInvestigation. Water Resources Research<\/em>. https:\/\/doi.org\/10.1029\/2019WR026752<\/a>\n<\/li>
  12. Siade, A. J., Cui, T., Karelse, R. N., & Hampton,\nC. (2020). Reduced\u2010Dimensional\nGaussian Process Machine Learning for Groundwater Allocation Planning using\nSwarm Theory. Water Resources Research<\/em>. https:\/\/doi.org\/10.1029\/2019WR026061<\/a>\n<\/li>
  13. Do, N. C., & Razavi, S. Correlation\neffects? A major but often neglected component in sensitivity and uncertainty\nanalysis. Water Resources Research<\/em>. https:\/\/doi.org\/10.1029\/2019WR025436<\/a>\n<\/li>
  14. Guillon, H., Byrne, C. F., Lane, B. A., Solis,\nS. S., & Pasternack, G. B. (2020). Machine Learning Predicts Reach\u2010Scale Channel Types from Coarse\u2010Scale Geospatial Data in a Large River Basin. Water Resources Research<\/em>. https:\/\/doi.org\/10.1029\/2019WR026691<\/a>\n<\/li>
  15. Arshadi, M., De Paolis Kaluza, M. C., Miller,\nE. L., & Abriola, L. M. (2020). Subsurface Source Zone Characterization and\nUncertainty Quantification Using Discriminative Random Fields. Water Resources Research<\/em>, 56<\/em>(3), e2019WR026481. https:\/\/doi.org\/10.1029\/2019WR026481<\/a>\n<\/li>
  16. Bhowmik, R. D., Ng, T. L., & Wang, J. P.\n(2019). Understanding the impact of observation data uncertainty on\nprobabilistic streamflow forecasts using a dynamic hierarchical model. Water Resources Research<\/em>. https:\/\/doi.org\/10.1029\/2019WR025463<\/a>\n<\/li>
  17. Spear, R. C., Cheng, Q., & Wu, S. L.\n(2020). An Example of Augmenting Regional Sensitivity Analysis Using Machine\nLearning Software. Water Resources Research<\/em>. https:\/\/doi.org\/10.1029\/2019WR026379<\/a>\n<\/li><\/ol>\n\n\n\n

    Environmental Modelling and Software:<\/h2>\n\n\n\n
    1.  Douglas-Smith, D., Iwanaga, T., Croke, B. F.,\n& Jakeman, A. J. (2020). Certain trends in uncertainty and sensitivity\nanalysis: An overview of software tools and techniques. Environmental Modelling and\nSoftware<\/em>, 124<\/em>, 104588. https:\/\/doi.org\/10.1016\/j.envsoft.2019.104588<\/a>\n<\/li>
    2. Pianosi, F., Sarrazin, F., & Wagener, T. (2020). How\nsuccessfully is open-source research software adopted? Results and implications\nof surveying the users of a sensitivity analysis toolbox. Environmental Modelling &\nSoftware<\/em>, 124<\/em>, 104579. https:\/\/doi.org\/10.1016\/j.envsoft.2019.104579<\/a>\n<\/li>
    3. Jang, W. S., Engel, B., & Yeum, C. M. (2020). Integrated\nenvironmental modeling for efficient aquifer vulnerability assessment using\nmachine learning. Environmental Modelling & Software<\/em>, 124<\/em>, 104602.\nhttps:\/\/doi.org\/10.1016\/j.envsoft.2019.104602<\/a>\n<\/li>
    4. Barton, D. N., Sundt, H., Bustos, A. A., Fjeldstad, H. P.,\nHedger, R., Forseth, T., … & Madsen, A. L. (2020). Multi-criteria\ndecision analysis in Bayesian networks-Diagnosing ecosystem service trade-offs\nin a hydropower regulated river. Environmental Modelling & Software<\/em>, 124<\/em>, 104604.\nhttps:\/\/doi.org\/10.1016\/j.envsoft.2019.104604<\/a>\n<\/li>
    5. Zhang, Y., Arabi, M., & Paustian, K. (2020). Analysis of\nparameter uncertainty in model simulations of irrigated and rainfed\nagroecosystems. Environmental Modelling & Software<\/em>, 126<\/em>, 104642. https:\/\/doi.org\/10.1016\/j.envsoft.2020.104642<\/a>\n<\/li>
    6. Mustafa, S. M. T., Nossent, J., Ghysels, G., & Huysmans,\nM. (2020). Integrated Bayesian Multi-model approach to quantify input,\nparameter and conceptual model structure uncertainty in groundwater modeling. Environmental Modelling &\nSoftware<\/em>, 126<\/em>, 104654. https:\/\/doi.org\/10.1016\/j.envsoft.2020.104654<\/a>\n<\/li>
    7. Su, Y., Kern, J. D., Denaro, S., Hill, J., Reed, P., Sun, Y.,\n… & Characklis, G. W. (2020). An open source model for quantifying risks\nin bulk electric power systems from spatially and temporally correlated\nhydrometeorological processes. Environmental Modelling & Software<\/em>, 126<\/em>, 104667.\nhttps:\/\/doi.org\/10.1016\/j.envsoft.2020.104667<\/a>\n<\/li><\/ol>\n\n\n\n

      Hydrology and Earth System Sciences:<\/h2>\n\n\n\n
      1. Alam, M. S., Barbour, S. L., and Huang, M.: Characterizing\nuncertainty in the hydraulic parameters of oil sands mine reclamation covers\nand its influence on water balance predictions, Hydrol. Earth Syst. Sci., 24,\n735\u2013759, https:\/\/doi.org\/10.5194\/hess-24-735-2020<\/a>,\n2020.<\/li>
      2. Gallart, F., von Freyberg, J., Valiente, M., Kirchner, J. W.,\nLlorens, P., and Latron, J.: Technical note: An improved discharge sensitivity\nmetric for young water fractions, Hydrol. Earth Syst. Sci., 24, 1101\u20131107, https:\/\/doi.org\/10.5194\/hess-24-1101-2020<\/a>,\n2020.<\/li>
      3. Jachens, E. R., Rupp, D. E., Roques, C., and Selker, J. S.:\nRecession analysis revisited: impacts of climate on parameter estimation,\nHydrol. Earth Syst. Sci., 24, 1159\u20131170, https:\/\/doi.org\/10.5194\/hess-24-1159-2020<\/a>,\n2020.<\/li><\/ol>\n\n\n\n

        Journal of Hydrology:<\/h2>\n\n\n\n
        1.  Qi,\nW., Liu, J., Xia, J., & Chen, D. (2020). Divergent sensitivity of surface\nwater and energy variables to precipitation product uncertainty in the Tibetan\nPlateau. Journal of Hydrology<\/em>, 581<\/em>, 124338. https:\/\/doi.org\/10.1016\/j.jhydrol.2019.124338<\/a>\n<\/li>
        2. Li, Y., Hernandez, J. H., Aviles, M., Knappett, P. S.,\nGiardino, J. R., Miranda, R., … & Morales, J. (2020). Empirical Bayesian\nKriging method to evaluate inter-annual water-table evolution in the Cuenca\nAlta del R\u00edo Laja aquifer, Guanajuato, M\u00e9xico. Journal of Hydrology<\/em>, 582<\/em>, 124517.\nhttps:\/\/doi.org\/10.1016\/j.jhydrol.2019.124517<\/a>\n<\/li>
        3. Yuan, L., He, W., Degefu, D. M., Liao, Z., Wu, X., An, M.,\n… & Ramsey, T. S. (2020). Transboundary water sharing problem; a\ntheoretical analysis using evolutionary game and system dynamics. Journal of Hydrology<\/em>, 582<\/em>, 124521. https:\/\/doi.org\/10.1016\/j.jhydrol.2019.124521<\/a>\n<\/li>
        4. Haro-Monteagudo, D., Palaz\u00f3n, L., & Beguer\u00eda, S. (2020).\nLong-term Sustainability of Large Water Resource Systems under Climate Change:\na Cascade Modeling Approach. Journal of Hydrology<\/em>, 124546. https:\/\/doi.org\/10.1016\/j.jhydrol.2020.124546<\/a>\n<\/li>
        5. Lee, S., Yen, H., Yeo, I. Y., Moglen, G. E., Rabenhorst, M.\nC., & McCarty, G. W. (2020). Use of multiple modules and Bayesian Model\nAveraging to assess structural uncertainty of catchment-scale wetland modeling\nin a Coastal Plain landscape. Journal of Hydrology<\/em>, 124544. https:\/\/doi.org\/10.1016\/j.jhydrol.2020.124544<\/a>\n<\/li>
        6. Wang, Y., Li, Z., Guo, S., Zhang, F., & Guo, P. (2020). A\nrisk-based fuzzy boundary interval two-stage stochastic water resources\nmanagement programming approach under uncertainty. Journal of Hydrology<\/em>, 124553.\nhttps:\/\/doi.org\/10.1016\/j.jhydrol.2020.124553<\/a>\n<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"

          Water Resources Research:  Herman, J. D., Quinn, J. D., Steinschneider, S., Giuliani, M., & Fletcher, S. (2019). Climate adaptation as a control problem: Review and perspectives on dynamic water resources planning under uncertainty. Water Resources Research, e24389. https:\/\/doi.org\/10.1029\/2019WR025502 Nguyen, H., Mehrotra,<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"categories":[1,13],"tags":[],"jetpack_featured_media_url":"","_links":{"self":[{"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/posts\/1020"}],"collection":[{"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/comments?post=1020"}],"version-history":[{"count":1,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/posts\/1020\/revisions"}],"predecessor-version":[{"id":1021,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/posts\/1020\/revisions\/1021"}],"wp:attachment":[{"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/media?parent=1020"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/categories?post=1020"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/tags?post=1020"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}