Dennis McLaughlin
Dennis McLaughlin
Professor of Civil and Environmental Engineering, Massachusetts Institute of Technology
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα
Παρατίθεται από
Παρατίθεται από
Hydrologic data assimilation with the ensemble Kalman filter
RH Reichle, DB McLaughlin, D Entekhabi
Monthly Weather Review 130 (1), 103-114, 2002
A reassessment of the groundwater inverse problem
D McLaughlin, LR Townley
Water Resources Research 32 (5), 1131-1161, 1996
Stochastic analysis of nonstationary subsurface solute transport: 2. Conditional moments
W Graham, D McLaughlin
Water Resources Research 25 (11), 2331-2355, 1989
A comparison of seven geostatistically based inverse approaches to estimate transmissivities for modeling advective transport by groundwater flow
DA Zimmerman, G De Marsily, CA Gotway, MG Marietta, CL Axness, ...
Water Resources Research 34 (6), 1373-1413, 1998
An agenda for land surface hydrology research and a call for the second international hydrological decade
D Entekhabi, GR Asrar, AK Betts, KJ Beven, RL Bras, CJ Duffy, T Dunne, ...
Bulletin of the American Meteorological Society 80 (10), 2043-2058, 1999
Land data assimilation and estimation of soil moisture using measurements from the Southern Great Plains 1997 Field Experiment
SA Margulis, D McLaughlin, D Entekhabi, S Dunne
Water resources research 38 (12), 35-1-35-18, 2002
An integrated approach to hydrologic data assimilation: interpolation, smoothing, and filtering
D McLaughlin
Advances in Water Resources 25 (8-12), 1275-1286, 2002
Numerical simulation of three-dimensional saturated flow in randomly heterogeneous porous media
R Ababou, D McLaughlin, LW Gelhar, AFB Tompson
Transport in porous media 4 (6), 549-565, 1989
Downscaling of radio brightness measurements for soil moisture estimation: A four‐dimensional variational data assimilation approach
RH Reichle, D Entekhabi, DB McLaughlin
Water Resources Research 37 (9), 2353-2364, 2001
Modeling nitrate leaching with a biogeochemical model modified based on observations in a row-crop field in Iowa
C Li, N Farahbakhshazad, DB Jaynes, DL Dinnes, W Salas, ...
Ecological modelling 196 (1-2), 116-130, 2006
Recent developments in hydrologic data assimilation
D McLaughlin
Reviews of Geophysics 33 (S2), 977-984, 1995
Variational data assimilation of microwave radiobrightness observations for land surface hydrology applications
RH Reichle, DB McLaughlin, D Entekhabi
IEEE Transactions on Geoscience and Remote Sensing 39 (8), 1708-1718, 2001
History matching with an ensemble Kalman filter and discrete cosine parameterization
B Jafarpour, DB McLaughlin
Computational Geosciences 12 (2), 227-244, 2008
Reservoir characterization with the discrete cosine transform
B Jafarpour, DB McLaughlin
SPE Journal 14 (01), 182-201, 2009
Assessing the performance of the ensemble Kalman filter for land surface data assimilation
Y Zhou, D McLaughlin, D Entekhabi
Monthly Weather Review 134 (8), 2128-2142, 2006
A nonstationary spectral method for solving stochastic groundwater problems: Unconditional analysis
SG Li, D McLaughlin
Water Resources Research 27 (7), 1589-1605, 1991
Stochastic modeling of large‐scale flow in heterogeneous unsaturated soils
DJ Polmann, D McLaughlin, S Luis, LW Gelhar, R Ababou
Water Resources Research 27 (7), 1447-1458, 1991
Compressed history matching: exploiting transform-domain sparsity for regularization of nonlinear dynamic data integration problems
B Jafarpour, VK Goyal, DB McLaughlin, WT Freeman
Mathematical Geosciences 42 (1), 1-27, 2010
Estimating channelized-reservoir permeabilities with the ensemble Kalman filter: The importance of ensemble design
B Jafarpour, DB McLaughlin
Spe Journal 14 (02), 374-388, 2009
A distributed parameter approach for evaluating the accuracy of groundwater model predictions: 1. Theory
D McLaughlin, EF Wood
Water Resources Research 24 (7), 1037-1047, 1988
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