| Modflow-2000, the u. S. Geological survey modular ground-water model-user guide to modularization concepts and the ground-water flow process AW Harbaugh, ER Banta, MC Hill, MG McDonald USGS 21, 00-0092, 2000 | 3265 | 2000 |
| Effective groundwater model calibration: with analysis of data, sensitivities, predictions, and uncertainty MC Hill, CR Tiedeman John Wiley & Sons, 2006 | 953 | 2006 |
| Methods and guidelines for effective model calibration MC Hill Building partnerships, 1-10, 2000 | 732 | 2000 |
| Integrated environmental modeling: a vision and roadmap for the future GF Laniak, G Olchin, J Goodall, A Voinov, M Hill, P Glynn, G Whelan, ... Environmental modelling & software 39, 3-23, 2013 | 567 | 2013 |
| Inverse models: A necessary next step in ground‐water modeling EP Poeter, MC Hill Groundwater 35 (2), 250-260, 1997 | 437 | 1997 |
| Documentation of UCODE, a computer code for universal inverse modeling EP Poeter, MC Hill Diane Publishing, 1998 | 435 | 1998 |
| UCODE_2005 and six other computer codes for universal sensitivity analysis, calibration, and uncertainty evaluation constructed using the JUPITER API EE Poeter, MC Hill, ER Banta, S Mehl, S Christensen Techniques and Methods, 2005 | 396 | 2005 |
| A computer program (MODFLOWP) for estimating parameters of a transient, three-dimensional ground-water flow model using nonlinear regression MC Hill Open-File Report, 1-358, 1992 | 379 | 1992 |
| MODFLOW-2000, the US Geological Survey modular ground-water model; user guide to the observation, sensitivity, and parameter-estimation processes and three post-processing programs MC Hill, ER Banta, AW Harbaugh, ER Anderman Open-File Report, 1-209, 2000 | 330 | 2000 |
| Preconditioned conjugate-gradient 2 (PCG2), a computer program for solving ground-water flow equations MC Hill Department of the Interior, US Geological Survey 90 (4048), 1990 | 262 | 1990 |
| The practical use of simplicity in developing ground water models MC Hill Groundwater 44 (6), 775-781, 2006 | 197 | 2006 |
| Sensitivity analysis, calibration, and testing of a distributed hydrological model using error‐based weighting and one objective function L Foglia, MC Hill, SW Mehl, P Burlando Water Resources Research 45 (6), 2009 | 193 | 2009 |
| Hydrogeologic evaluation and numerical simulation of the Death Valley Regional ground-water flow system, Nevada and California FA D'Agnese US Department of the Interior, US Geological Survey 96 (4300), 1997 | 167 | 1997 |
| Distributed Evaluation of Local Sensitivity Analysis (DELSA), with application to hydrologic models O Rakovec, MC Hill, MP Clark, AH Weerts, AJ Teuling, R Uijlenhoet Water Resources Research 50 (1), 409-426, 2014 | 166 | 2014 |
| A controlled experiment in ground water flow model calibration MC Hill, RL Cooley, DW Pollock Groundwater 36 (3), 520-535, 1998 | 164 | 1998 |
| UCODE, a computer code for universal inverse modeling EP Poeter, MC Hill Computers & Geosciences 25 (4), 457-462, 1999 | 161 | 1999 |
| Introductory overview of identifiability analysis: A guide to evaluating whether you have the right type of data for your modeling purpose JHA Guillaume, JD Jakeman, S Marsili-Libelli, M Asher, P Brunner, ... Environmental Modelling & Software 119, 418-432, 2019 | 155 | 2019 |
| Effective modeling for Integrated Water Resource Management: A guide to contextual practices by phases and steps and future opportunities J Badham, S Elsawah, JHA Guillaume, SH Hamilton, RJ Hunt, ... Environmental Modelling & Software 116, 40-56, 2019 | 127 | 2019 |
| Development and evaluation of a local grid refinement method for block-centered finite-difference groundwater models using shared nodes S Mehl, MC Hill Advances in Water Resources 25 (5), 497-511, 2002 | 113 | 2002 |
| Intelligent systems for geosciences: an essential research agenda Y Gil, SA Pierce, H Babaie, A Banerjee, K Borne, G Bust, M Cheatham, ... Communications of the ACM 62 (1), 76-84, 2018 | 101 | 2018 |
Steffen MehlCalifornia State University, Chico在 csuchico.edu 的电子邮件经过验证
