Mary C Hill

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	Wszystkie	Od 2020
Cytowania	13647	3449
h-indeks	51	26
i10-indeks	102	52

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22 artykuły

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Steffen MehlCalifornia State University, ChicoZweryfikowany adres z csuchico.edu
Eileen PoeterColorado School of MinesZweryfikowany adres z mines.edu
Laura FogliaResearch Associate, Technical University DarmstadtZweryfikowany adres z geo.tu-darmstadt.de
Ming YeFlorida State UniversityZweryfikowany adres z fsu.edu
Chunmiao ZhengSouthern University of Science and Technology; Peking University; U. of AlabamaZweryfikowany adres z sustech.edu.cn
Dan LuOak Ridge National LaboratoryZweryfikowany adres z ornl.gov
Hongyu Wu, Ph.D.ECE Department, Kansas State UniversityZweryfikowany adres z ksu.edu
Reed M MaxwellPrinceton UniversityZweryfikowany adres z princeton.edu
Matthew W. RossiResearch Scientist, University of Colorado - BoulderZweryfikowany adres z colorado.edu
Scott D. PeckhamResearch Scientist, University of Colorado at BoulderZweryfikowany adres z colorado.edu
Suzanne A PierceResearch Scientist, Texas Advanced Computing CenterZweryfikowany adres z tacc.utexas.edu
Andrea BrookfieldAssociate Professor, Department of Earth and Environmental Sciences, University of WaterlooZweryfikowany adres z uwaterloo.ca
Robert BarronWestern New England UniversityZweryfikowany adres z wne.edu
A J JakemanProfessor, Australian National UniversityZweryfikowany adres z anu.edu.au
Joseph GuillaumeAustralian National UniversityZweryfikowany adres z anu.edu.au
Vincent Amanor-BoaduKansas State UniversityZweryfikowany adres z ksu.edu
Marc BierkensProfessor of Hydrology, Utrecht UniversityZweryfikowany adres z geo.uu.nl
Oldrich RakovecFaculty of Environmental Sciences, Czech University of Life Sciences Prague (CZU)Zweryfikowany adres z fzp.czu.cz
Donald SweetkindU.S. Geological SurveyZweryfikowany adres z usgs.gov
Gregory E. TuckerFellow of CIRES and Professor of Geological Sciences, University of ColoradoZweryfikowany adres z colorado.edu

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Mary C Hill

University of Kansas

Zweryfikowany adres z ku.edu - Strona główna

uncertainty sensitivity analysis hydrology hydrogeology food-energy-water systems


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
MODFLOW-2000, the US 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 US Geological Survey 92, 2000, 2000	3346	2000
Effective groundwater model calibration: with analysis of data, sensitivities, predictions, and uncertainty MC Hill, CR Tiedeman John Wiley & Sons, 2007	993	2007
Methods and guidelines for effective model calibration MC Hill Building partnerships, 1-10, 2000	748	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	587	2013
Inverse models: A necessary next step in ground‐water modeling EP Poeter, MC Hill Groundwater 35 (2), 250-260, 1997	439	1997
Documentation of UCODE, a computer code for universal inverse modeling EP Poeter, MC Hill Diane Publishing, 1998	438	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	397	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	385	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	343	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	267	1990
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	206	2009
The practical use of simplicity in developing ground water models MC Hill Groundwater 44 (6), 775-781, 2006	203	2006
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	184	2019
Death Valley regional groundwater flow system, Nevada and California: Hydrogeologic framework and transient groundwater flow model W Belcher, FA D'Agnese, GM O'Brien, DS Sweetkind, CA San Juan, ... USGS Report, 5, 2010	181	2010
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	180	2014
Global groundwater modeling and monitoring: Opportunities and challenges LE Condon, S Kollet, MFP Bierkens, GE Fogg, RM Maxwell, MC Hill, ... Water Resources Research 57 (12), e2020WR029500, 2021	167	2021
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
UCODE, a computer code for universal inverse modeling EP Poeter, MC Hill Computers & Geosciences 25 (4), 457-462, 1999	163	1999
A controlled experiment in ground water flow model calibration MC Hill, RL Cooley, DW Pollock Groundwater 36 (3), 520-535, 1998	163	1998
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	156	2019

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