Dr. Ming Ye

Ph.D., University of Arizona

Professor

Department of Earth, Ocean, and Atmospheric Science (EOAS)

Office: 303 Carraway Building

Department of Scientific Computing (SC)

Office: 489 Dirac Science Library

Phone: (850) 644-4587
Fax: (850) 644-0098
Email: mye@fsu.edu\










Publications

Journal Articles Proceedings Technical Reports

2019

Sun, G., Y. Zhu, M. Ye, J. Yang, Z. Qu, W. Mao, and J. Wu (2019), Development and application of long-term root zone salt balance model for predicting soil salinity in arid shallow water table area, Agricultural Water Management, 213, 486 - 498, https://doi.org/10.1016/j.agwat.2018.10.043.
Zhang, H., F. Zhang, G. Zhang, T. Che, W. Yan, M. Ye, and N. Ma (2019), Ground-based evaluation of MODIS snow cover product V6 across China: Implications for the selection of NDSI threshold. Science of The Total Environment, 651(2), 2712-27126, doi:10.1016/j.scitotenv.2018.10.128.

2018

Song, X., K. Wang, and M. Ye (2018), Localized failure in unsaturated soils under non-isothermal conditions, Acta Geotechnica, 13(1), 73-85, DOI 10.1007/s11440-017-0534-4.
Dai, Heng (student), M. Ye, B.X. Hu, A.W. Niedoroda, X. Zhang, X. Chen, X. Song, and J. Niu (2018), Hierarchical sensitivity analysis for simulating barrier island geomorphologic responses to future storms and sea-level rise, Theoretical and Applied Climatology, https://doi.org/10.1007/s00704-018-2700-5.
Walker, A.P., M. Ye, D. Lu, M.G. De Kauwe, L. Gu, B.E. Medlyn, A. Rogers, and S.P. Serbin, The Multi-Assumption Architecture and Testbed (MAAT v1.0): R code for generating ensembles with dynamics model structure and analysis of epistemic uncertainty from multiple sources, Geoscientific Model Development, 11(8), 3159-3185, https://doi.org/10.5194/gmd-11-1-2018.
Elshall, A.S. (post-doc), M. Ye, Y. Pei, F. Zhang, G.-Y. Niu, and G.A. Barron-Gafford, Relative model score: A scoring rule for evaluating ensemble simulations with application to microbial soil respiration modeling, Stochastic Environmental Research and Risk Assessment, 32(10), 2809-2819, DOI: 10.1007/s00477-018-1592-3.
Wang, Y., L. Shi, Y. Zha, X. Li, Q. Zhang, and M. Ye (2018), Sequential data-worth analysis coupled with ensemble Kalman filter for soil water flow: A real-world case study, Journal of Hydrology, 564, 76-88, https://doi.org/10.1016/j.jhydrol.2018.06.059.
Ren, J., X.P. Wang, Z.Z. Shen, J. Zhao, J. Yang, M. Ye, Y.J Zhou, and Z.H. Wang (2018), Heat tracer test in a riparian zone: Laboratory experiments and numerical modelling, Journal of Hydrology, 563, 560-575, DOI: 10.1016/j.jhydrol.2018.06.030.
Xu, B. (visiting student), M. Ye, S. Dong, Z. Dai, and Y. Pei (2018), A new model for simulating spring discharge recession and estimating effective porosity of karst aquifers, Journal of Hydrology, 562, 609-622, https://doi.org/10.1016/j.jhydrol.2018.05.039.
Zhang, J., Y. Zhu, X. Zhang, M. Ye, and J. Yang (2018), Developing a long short-term memory (LSTM) based model for predicting water table depth in agricultural areas, Journal of Hydrology, 561, 918-929, https://doi.org/10.1016/j.jhydrol.2018.04.065.
Liu, K., Y. Zhu, M. Ye, J. Yang, X. Chen, and L. Shi (2018), Numerical simulation and sensitivity analysis for nitrogen dynamics under sewage water irrigation with organic carbon, Water, Air, & Soil Pollution, 229: 173, https://doi.org/10.1007/s11270-018-3832-z.
Chen, Z., L. Shi, M. Ye, Y. Zhu, and J. Yang (2018), Global sensitivity for identifying important parameters of nitrogen nitrification and denitrification under model and scenario uncertainty, Journal of Hydrology, 561, 884-895 https://doi.org/10.1016/j.jhydrol.2018.04.031.
Mao, W., J. Yang, Y. Zhu, M. Ye, Z. Liu, and J. Wu (2018), An efficient soil water balance model based on hybrid numerical and statistical methods, Journal of Hydrology, 559, 721-735, https://doi.org/10.1016/j.jhydrol.2018.02.074.
Xiao, L., M. Ye, and Y. Xu (2018), A new solution for confined-unconfined flow toward a fully penetrating well in a confined aquifer, Ground Water, 56(6), 959-968, doi: 10.1111/gwat.12642.
Zeng, X., M. Ye, J. Wu, D. Wang, and X. Zhu (2018), Improved nested sampling and surrogate-enabled comparison with other marginal likelihood estimators, Water Resources Research, 54, DOI: 10.1002/2017WR020782.
Samani, S. (visiting scholar), M. Ye, F. Zhang, G. Tang, A.S. Elshall, and A.A. Moghaddam, Impacts of Prior Parameter Distributions on Statistical Evaluation of Model Complexity, Water Science and Engineering, 11(2), 89-100, https://doi.org/10.1016/j.wse.2018.06.001.
Zhang, H., F. Zhang, G. Zhang, Y. Ma, K. Yang, and M. Ye (2018), Daily air temperature estimation on glacier surface in the Tibetan plateau using MODIS LST data, Journal of Glaciology, doi: 10.1017/jog.2018.6.
Sayemuzzaman, M. (post-doc), M. Ye, F. Zhang, and M. Zhu (2018), Multivariate statistical and trend analyses for surface water quality in the central Indian River Lagoon area, Florida, Environmental Earth Sciences, 77(4), Article number 127, DOI:10.1007/s12665-018-7266-0.
Xu, Z., B.X. Hu, and M. Ye (2018), Numerical modeling and sensitivity analysis of seawater intrusion in a dual-permeability coastal karst aquifer with conduit networks, Hydrology and Earth System Sciences, 22(1), 221-239, https://doi.org/10.5194/hess-22-221-2018.
Pant, R.R., F. Zhang, F.U. Rehman Qaiser, G. Wang, M. Ye, and C. Zeng (2018), Spatiotemporal variations of hydrogeochemistry and its controlling factors in the Gandaki River Basin, Central Himalayas Nepal, Science of the Total Environment, 622, 770-782. DOI:10.1016/j.scitotenv.2017.12.063.
Castro, R.P. (student), J.P. Avila, M. Ye, A.C. Sansoers, (2018), Groundwater quality: analysis of its temporal and spatial variability in a karst aquifer, Ground Water, 56(1), 62-72, doi:10.1111/gwat.12546.
Samani, S. (visiting scholar), A.A. Moghaddam, and M. Ye (2018), Investigating the effort of complexity on groundwater flow modeling uncertainty, Stochastic Environmental Research and Risk Assessment, 32(3), 643-659, DOI:10.1007/s00477-017-1436-6.

2017

Ma, Y., Q. Zhang, and M. Ye (2017), Mean-square dissipativity of numerical methods for a class of resource-competition models with fractional Brownian\ motion, Systems Science & Control Engineering, 5(1), 268-277, DOI: 10.1080/21642583.2017.1333469.
Zhang, Q., M. Ye, H. Lei, and Q. Jin (2017), Asymptotic behavior of a class of resources competition biology species system by the fractional Brownian motion, ANZIAM Jounral, 58, 3-4, 491-499, DOI: 10.1017/S1446181117000098.
Song, X., M. Ye, and K. Wang (2017), Strain localization in a solid-water-air system with random heterogeneity via stabilized mixed finite elements, Internal Journal for Numerical Methods in Engineering, DOI: 10.1002/nme.5590.
Pacheco-Castro, R. (student), J. Pacheco-Avila, M. Ye, A. Cabrera Sansoers, (2017), Groundwater quality: analysis of its temporal and spatial variability in a karst aquifer, Ground Water, doi: 10.1111/gwat.12546.
Xu, T. (student), A. J. Valocchi, M. Ye, and F. Liang (2017), Quantifying model structural error: Efficient Bayesian calibration of a regional groundwater flow model using surrogates and a data-driven error model, Water Resour. Res., 53, doi:10.1002/2016WR019831.
Dai, H.(student), X. Chen, M. Ye, X. Song, and J. M. Zachara (2017), A geostatistics-informed hierarchical sensitivity analysis method for complex groundwater flow and transport modeling, Water Resour. Res., 53, doi:10.1002/2016WR019756.
Xu, T. (student), A. J. Valocchi, M. Ye, F. Liang, and Y.-F. Lin (2017), Bayesian calibration of groundwater models with input data uncertainty, Water Resour. Res., 53, doi:10.1002/2016WR019512.
Dai, H. (student), M. Ye, A.P. Walker, and X. Chen (2017), A new process sensitivity index to identify important system processes under process model and parametric uncertainty, Water Resources Research, 53, DOI: 10.1002/2016WR019715.
Song, X., K. Wang, and M. Ye (2017), Localized failure in unsaturated soils under non-isothermal conditions, Acta Geotechnica, DOI 10.1007/s11440-017-0534-4.
Zhu, Y., L. Shi, M. Ye, and J. Yang (2017), Development and application of a fully integrated model for saturated-saturated nitrogen reactive transport, Agricultural Water Management, 180, 35-49. http://dx.doi.org/10.1016/j.agwat.2016.10.017.
Ye, M., H. Sun, and K. Hallas (2017), Numerical Estimation of Nitrogen Load from Septic Systems to Surface Water Bodies in St. Lucie River and Estuary Basin, Florida, Environmental Earth Sciences, 76(1), 1-14, doi:10.1007/s12665-016-6358-y.

2016

Cao, B., Q. Zhang, and M. Ye (2016), Exponential stability of impulsive stochastic genetic regulatory networks with time-varying delays and reaction-diffusion, Advances in Difference Equations, 307, DOI:10.1186/s13662-016-1033-x.
Zhang, H., F. Zhang, M. Ye, T. Che, and G. Zhang (2016), Estimating daily air temperatures over the Tibetan Plateau by dynamically integrating MODIS LST data, Journal of Geophysical Research - Atmospheres, 121, 11,425-11,441, doi:10.1002/2016JD025154.
Zhu, Y., L. Shi, J. Wu, M. Ye, L. Cui, and J. Yang (2016), Regional quasi-three-dimensional unsaturated-saturated water flow model based on a vertical-horizontal splitting concept, Water, 8(5), 195, doi:10.3390/w8050195.
Ye, M., L. Wang, K.F. Pohlmann, and J.B. Chapman (2016), Estimate groundwater interbasin flow using multiple models and multiple types of calibration data, Ground Water, 54(6), 805-817, doi:10.1111/gwat.12422.
McLaughlin, B. (student), J. Peterson, M. Ye (2016), Stabilized reduced order models for the advection-diffusion-reaction equation using operator splitting, Computers and Mathematics with Applications, 71(11), 2407-2420, 10.1016/j.camwa.2016.01.032.
Fatehnia, M. (student), K. Tawfiq, M. Ye (2016), Estimation of saturated hydraulic conductivity from double-ring infiltrometer measurements, European Journal of Soil Science, 67, 135 - 147, doi:10.1111/ejss.12322.
Liu, P. (post-doc), A.S. Elshall (post-doc), M. Ye, P. Beerli, X. Zeng, D. Lu, and Y. Tao (2016), Evaluate marginal likelihood with thermodynamic integration method and comparison with several other numerical methods, Water Resources Research, 52, doi:10.1002/2014WR016718.
Zeng, X. (post-doc), M. Ye, J. Burkardt, J. Wu, and D. Wang (2015), Evaluating two sparse grid surrogates and two adaptation criteria for groundwater Bayesian uncertainty analysis, Journal of Hydrology, 535, 120-134, DOI: http://dx.doi.org/10.1016/j.jhydrol.2016.01.058.
Zhu, Y. (post-doc), M. Ye, E. Roeder, R.W. Hicks, L. Shi, and J. Yang (2015), Estimating ammonium and nitrate Load from septic systems to surface water bodies within ArcGIS environments, Journal of Hydrology, 532, 177-192, DOI: 10.1016/j.jhydrol.2015.11.017.
Hill, M.C., D. Kavetski, M. Clark, M. Ye, M. Arabi, D. Lu, L. Foglia, and S. Mehl (2016), Practical use of computationally frugal model analysis methods, Ground Water, 54(2), 159-170, doi: 10.1111/gwat.12330.

2015

Lu, D. (post-doc), M. Ye, and G.P. Curtis (2015), Maximum Likelihood Bayesian Model Averaging and its Predictive Analysis for Groundwater Reactive Transport Models, Journal of Hydrology, 529, 1859 - 1873, DOI:10.1016/j.jhydrol.2015.07.029.
Dai, H. (student) and M. Ye (2015), Variance-Based Global Sensitivity Analysis for Multiple Scenarios and Models with Implementation Using Sparse Grid Collocation, Journal of Hydrology, 528, 286-300, DOI: 10.1016/j.jhydrol.2015.06034.
Dai, H. (student), M. Ye, and A.W. Niedoroda (2015), A new model for simulating barrier island geomorphologic responses to future storm and sea-level rise impacts, Journal of Coastal Research, DOI: 10.2112/JCOASTRES-D-14-00094.1.
Song, X., J. Zhang, C. Zhan, Y. Xuan, M. Ye, C. Xu (2015), Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications, Journal of Hydrology, 523(4), 739-757, doi:10.1016/j.jhydrol.2015.02.013.
Elshall, A.S. (post-doc), H.V. Pham, F.T.C. Tsai, L. Yan, and M. Ye (2015), Parallel inverse modeling and uncertainty quantification for computationally demanding groundwater flow models using covariance matrix adaptation, ASCE Journal of Hydrologic Engineering, DOI: 10.1061/(ASCE)HE.1943-5584.0001126, 04014087.
Zhang, F., H. Zhang, S.C. Hagen, M. Ye, D. Wang, D. Gui, C. Zeng, L. Tian, and J. Liu, Snow cover and runoff modelling in a high mountain catchment with scarce data: effects of temperature and precipitation parameters, Hydrological Processes, DOI: 10.1002/hyp.10125.

2014

Zhang, X., G.-Y. Niu, A. S. Elshall, M. Ye, G. A. Barron-Gafford, and M. Pavao-Zuckerman (2014), Assessing five evolving microbial enzymemodels against fieldmeasurements froma semiarid savannah - What are the mechanisms of soil respiration pulses? Geophysical Research Letter, 41(18), 6428-6434, doi:10.1002/2014GL061399.
Ye, M., J.F. Rios, and L. Shi (2014), A new ArcGIS-based software of uncertainty analysis for nitrate load estimation, Groundwater, 52(5), 649-650, doi: 10.1111/gwat.12228.
Lu, D. (student), M. Ye, M.C. Hill, E.P. Poeter, and G.P. Curtis (2014), A computer program for uncertainty analysis integrating regression and Bayesian methods, Environmental Modeling & Software, 60, 45-56, doi:10.1016/j.envsoft.2014.06002.
Shi, X. (post-doc), M. Ye, G. P. Curtis, G. L. Miller, P. D. Meyer, M. Kohler, S. Yabusaki, and J. Wu (2014), Assessment of parametric uncertainty for groundwater reactive transport modeling, Water Resour. Res., 50, doi:10.1002/2013WR013755.
Song, X. (student), L. Shi, M. Ye, J. Yang, and I.M. Navon, Numerical comparison of iterative ensemble Kalman filter for unsaturated flow inverse modeling, Vadose Zone Journal, 13(2), NIL_2-NIL_13, doi:10.2136/vzj2013.05.0083.

2013

Zhang, G. (student), D. Lu (student), M. Ye, M. Gunzburger, and C. Webster (2013), An adaptive sparse-grid high-order stochastic collocation method for Bayesian inference in groundwater reactive transport modeling, Water Resour. Res., 49, doi:10.1002/wrcr.20467.
Lu, D. (student), M. Ye, P. D. Meyer, G. P. Curtis, X. Shi, X.-F. Niu, and S. B. Yabusaki (2013), Effects of error covariance structure on estimation of model averaging weights and predictive performance, Water Resour. Res., 49, doi:10.1002/wrcr.20441.
Wang, L. (post-doc), M. Ye, P.Z. Lee, and R.W. Hicks (2013), Support of sustainable management of nitrogen contamination due to septic systems using numerical modeling methods, Environment Systems and Decisions, 33, 237-250, doi:10.1007/s10669-013-9445-6.
Wang, L. (post-doc), M. Ye, J.F. Rios, R. Fernandes, P.Z. Lee, and R.W. Hicks (2013), Estimation of nitrate load from septic systems to surface water bodies using an ArcGIS-based software, Environmental Earth Sciences, 70(4), 1911-1926, doi:10.1007/s12665-013-2283-5.
Zha, Y. (student), L. Shi, M. Ye, and J. Yang (2013), A general Ross method for two- and three-dimensional variably saturated flow, Advances in Water Resources, 54,67-77, doi:10.1016/j.advwaters.2013.01.002.
Deng, H. (student), Z. Dai, A.V. Wolfsberg, M. Ye, P.H. Stauffer, Z. Lu, and E. Kwickls (2013), Upscaling Retardation Factor in Hierarchical Porous Media with Multimodal Reactive Mineral Facies, Chemosphere, 91(3),248-257, http://dx.doi.org/10.1016/j.chemosphere.2012.10.105.
Rios, J.F. (student), M. Ye, L. Wang, P.Z. Lee, H. Davis, and R.W. Hicks (2013), ArcNLET: A GIS-based software to simulate groundwater nitrate load from septic systems to surface water bodies, Computers and Geosciences, 52, 108-116, 10.1016/j.cageo.2012.10.003.

2012

Shi, X. (post-doc), M. Ye, S. Finsterle, and J. Wu (2012), Comparing nonlinear regression and Markov chain Monte Carlo methods for assessment of predictive uncertainty in vadose zone modeling, Vadose Zone Journal, 11(4), doi:10.2136/vzj2011.0147.
Zhu, Y. (student), L. Shi, L. Lin, J. Yang, M. Ye (2012), A Fully Coupled Numerical Modeling for Regional Unsaturated-Saturated Water Flow, Journal of Hydrology, 475, 188-203, doi:10.1016/j.jhydrol.2012.09.048.
Lu, D. (student), M. Ye, and M.C. Hill (2012), Analysis of Regression Confidence Intervals and Bayesian Credible Intervals for Uncertainty Quantification, Water Resources Research, 48, W09521, doi:10.1029/2011WR011289.
Gupta, H.V., M.P. Clark, J.A. Vrugt, G. Abramowitz, and M. Ye (2012), Towards a comprehensive assessment of model structural adequacy, Water Resources Research, 48, W08301, doi:10.1029/2011WR011044.
Lu, D. (student), M. Ye, S.P. Neuman, and L. Xue (2012), Multimodel Bayesian analysis of data-worth applied to unsaturated fractured tuffs, Advances in Water Resources, 35, 69-82, DOI: 10.1016/j.advwatres.2011.10.007.
Neuman, S.P., L. Xue, M. Ye, and D. Lu (2012), Bayesian analysis of data-worth considering model and parameter uncertainties,Advances in Water Resources, 36, 75-85, doi:10.1016/j.advwatres.2011.02.007.
Dai, Z., A. Wolfsberg, P. Reimus, H. Deng, E. Kwicklis, M. Ding, D. Ware, and M. Ye (2012), Identification of sorption processes and parameters for radionuclide transport in fractured rock, Journal of Hydrology, 414, January, 220-230, doi/10.1016/j.jhydrol.2011.10.035.

2011

Gautam, M.R., J. Zhu, and M. Ye (2011), Regularized artificial neural network training for biased soil hydraulic parameters, Soil Science, 176(11), 567-575, doi: 10.1097/SS.0b013e3182316c93.
Lu, D. (student), M. Ye, and S.P. Neuman (2011), Dependence of Bayesian model selection criteria and Fisher information matrix on sample size, Mathematical Geosciences, 43(8), 971-993, DOI 10.1007/s11004-011-9359-0.
Rios, J.F. (student), M. Ye, and L. Wang (2011), uWATER-PA: Ubiquitous WebGIS Analysis Toolkit for Extensive Resources - Pumping Assessment, Ground Water, 49(6), 776-780, DOI: 10.1111/j.1745-6584.2011.00872.x.
Pan, F., J. Zhu, M.Ye, Y.A. Pachepsky, and Y.-S. Wu (2011), Sensitivity analysis of unsaturated flow and contaminant transport with correlated parameters, Journal of Hydrology, 397, 238-249, doi:10.1016/j.jhydrol.2010.11.045.

2010

Ye, M., P.D. Meyer, Y.-F. Lin, and S.P. Neuman (2010), Quantification of model uncertainty in environmental modeling, Stoch. Environ. Res. Risk Assess., doi:10.1007/s00477-010-0377-0.
Deng, H.L. (student), Z. Dai, A. Wolfsberg, Z. Lu, M. Ye, P. Reimus (2010), Upscaling of reactive mass transport in fractured rocks with multimodal reactive mineral facies, Water Resour. Res., W06501, doi:10.1029/2009WR008363.
Reeves, D.M., K.F. Pohlmann, G.M. Pohll, M. Ye, J.B. Chapman (2010), Incorporation of conceptual and parametric uncertainty into radionuclide flux estimates from a fractured granite rock mass, Stoch. Environ. Res. Risk Assess., doi:10.1007/s00477-010-0385-0.
Ye, M., D. Lu, S.P. Neuman, and P.D. Meyer (2010), Comment on "Inverse groundwater modeling for hydraulic conductivity estimation using Bayesian model averaging and variance window" by Frank T.-C. Tsai and Xiaobao Li, Water Resour. Res., 46, W02801, doi:10.1029/2009WR008501.
Ye, M., K.F. Pohlmann, J.B. Chapman, G.M. Pohll, and D.M. Reeves (2010), A model-averaging method for assessing groundwater conceptual model uncertainty, Ground Water, doi:10.1111/j.1745-6584.2009.00633.x.
Ye, M. (2010), MMA: A computer code for multimodel analysis, Ground Water, 48(1), 9-12,doi: 10.1111/j.1745-6584.2009.00647.x.
Wu, Y.-S., M. Ye, and E.A. Sudicky (2010), Fracture-flow-enhanced matrix diffusion in solute transport through fractured porous media, Transport in Porous Media, 81, 21-34, doi:10.1007/s11242-009-9383-4.

2009

Ye, M., C.A. Cooper, J.B. Chapman, D. Gillespie, and Y. Zhang (2009), A geologically based Markov chain model for simulating tritum transport with uncertain conditions in a nuclear-stimulated natural gas reservoir, SPE Reservoir Evaluation & Engineering, 12(6), 974-984. SPE-114920-PA. doi: 10.2118/114920-PA.
Deng, H. (student), M. Ye, M. G. Schaap, and R. Khaleel (2009), Quantification of uncertainty in pedotransfer function-based parameter estimation for unsaturated flow modeling, Water Resour. Res. ,45, W04409, doi:10.1029/2008WR007477.
Pan, F. (student), M. Ye, J. Zhu, Y.S. Wu, B. Hu, Z. Yu (2009), Effect of Water Retention Parameters on Predictive Uncertainty of Unsaturated Flow and Contaminant Transport, Vadose Zone Journal, 8, 158-166, doi:10.2136/vzj2008.0092.
Pan, F. (student), M. Ye, J. Zhu, Y.S. Wu, B. Hu, Z. Yu (2009), Incorporating layer- and local-scale heterogeneities in numerical simulation of unsaturated flow and tracer transport, Journal of Contaminant Hydrology ,103 (3-4), 194-205, doi:10.1016/j.jconhyd.2008.10.012.
Huang, C. (student), B. Hu, X. Li, M. Ye (2009), Using data assimilation method to calibrate a heterogeneous conductivity field and improve solute transport prediction with an unknown contaminant source, Stochastic Environmental Research and Risk Analysis, 23(8), 1155-1167, DOI 10.1007/s00477-008-0289-4.

2008

Ye, M., and R. Khaleel (2008), A Markov chain model for characterizing medium heterogeneity and sediment layering structure, Water Resources Research, 44, W09427, doi:10.1029/2008WR006924.
Ye, M., K.F. Pohlmann, and J.B. Chapman (2008), Expert elicitation of recharge model probabilities for the Death Valley regional flow system, Journal of Hydrology, 354, 102-115, doi:10.1016/j.jhydrol.2008.03.001.
Ye, M., P.D. Meyer, and S.P. Neuman (2008), On model selection criteria in multimodel analysis, Water Resources Research, 44, W03428, doi:10.1029/2008WR006803.

2007

Ye, M., R. Khaleel, M.G. Schaap, and J. Zhu (2007), Simulation of field injection experiments in heterogeneous unsaturated media using cokriging and artificial neural network, Water Resources Research, 43, W07413, doi:10.1029/2006WR005030.
Ye, M., F. Pan, Y.S. Wu, B. Hu, C. Shirley, Z. Yu (2007), Assessment of radionuclide transport uncertainty in the unsaturated zone at Yucca Mountain, Advances in Water Resources, 30, 118-134.

2005

Ye, M., S.P. Neuman, P.D. Meyer, K.F. Pohlmann (2005), Sensitivity analysis and assessment of prior model probabilities in MLBMA with application to unsaturated fractured tuff, Water Resources Research, 41, W12429, doi:10.1029/2005WR004260.
Yeh, T.-C. J., M. Ye, R. Khaleel (2005), Estimation of effective unsaturated hydraulic conductivity tensor using spatial moments of observed moisture plume, Water Resources Research, 41, W03014, doi:10.1029/2004WR003736.
Ye, M., R. Khaleel, T.-C. J. Yeh (2005), Stochastic analysis of moisture plume dynamics of a field injection experiment, Water Resources Research, 41, W03013, doi:10.1029/2004WR003735.

2004

Ye, M., S.P. Neuman, P.D. Meyer (2004), Maximum likelihood Bayesian averaging of spatial variability models in unsaturated fractured tuff, Water Resources Research, 40, W05113, doi:10.1029/2003WR002557.
Ye, M., S. P. Neuman, A. Guadagnini, D. M. Tartakovsky (2004), Nonlocal and localized analyses of conditional mean transient flow in bounded, randomly heterogeneous porous media, Water Resources Research, 40, W05104, doi:10.1029/2003WR002099.