| Year |
Citation |
Score |
| 2016 |
Allam MM, Jain Figueroa A, McLaughlin DB, Eltahir EAB. Estimation of evaporation over the upper Blue Nile basin by combining observations from satellites and river flow gauges Water Resources Research. 52: 644-659. DOI: 10.1002/2015Wr017251 |
0.409 |
|
| 2015 |
Alemohammad SH, McLaughlin DB, Entekhabi D. Quantifying precipitation uncertainty for land data assimilation applications Monthly Weather Review. 143: 3276-3299. DOI: 10.1175/Mwr-D-14-00337.1 |
0.595 |
|
| 2015 |
Li N, McLaughlin D, Kinzelbach W, Li W, Dong X. Using an ensemble smoother to evaluate parameter uncertainty of an integrated hydrological model of Yanqi basin Journal of Hydrology. 529: 146-158. DOI: 10.1016/J.Jhydrol.2015.07.024 |
0.401 |
|
| 2015 |
Jha B, Bottazzi F, Wojcik R, Coccia M, Bechor N, Mclaughlin D, Herring T, Hager BH, Mantica S, Juanes R. Reservoir characterization in an underground gas storage field using joint inversion of flow and geodetic data International Journal For Numerical and Analytical Methods in Geomechanics. 39: 1619-1638. DOI: 10.1002/Nag.2427 |
0.334 |
|
| 2014 |
Janjić T, McLaughlin D, Cohn SE, Verlaan M. Conservation of mass and preservation of positivity with ensemble-type Kalman filter algorithms Monthly Weather Review. 142: 755-773. DOI: 10.1175/Mwr-D-13-00056.1 |
0.363 |
|
| 2014 |
Alemohammad SH, Entekhabi D, Mclaughlin DB. Evaluation of long-term SSM/I-based precipitation records over land Journal of Hydrometeorology. 15: 2012-2029. DOI: 10.1175/Jhm-D-13-0171.1 |
0.585 |
|
| 2014 |
Lin B, McLaughlin D. Real-Time Ensemble Control with Reduced-Order Modeling Siam Journal On Scientific Computing. 36. DOI: 10.1137/130921878 |
0.339 |
|
| 2014 |
Lin B, Mclaughlin D. Efficient characterization of uncertain model parameters with a reduced-order ensemble kalman filter Siam Journal On Scientific Computing. 36: B198-B224. DOI: 10.1137/130910415 |
0.422 |
|
| 2014 |
Wójcik R, McLaughlin D, Alemohammad SH, Entekhabi D. Ensemble-based characterization of uncertain environmental features Advances in Water Resources. 70: 36-50. DOI: 10.1016/J.Advwatres.2014.04.005 |
0.547 |
|
| 2012 |
Iglesias MA, McLaughlin D. Data inversion in coupled subsurface flow and geomechanics models Inverse Problems. 28: 115009. DOI: 10.1088/0266-5611/28/11/115009 |
0.406 |
|
| 2011 |
Crystalng G, Mclaughlin D, Entekhabi D, Ahanin A. The role of model dynamics in ensemble Kalman filter performance for chaotic systems Tellus a: Dynamic Meteorology and Oceanography. 63: 958-977. DOI: 10.1111/J.1600-0870.2011.00539.X |
0.557 |
|
| 2011 |
Iglesias MA, McLaughlin D. Level-set techniques for facies identification in reservoir modeling Inverse Problems. 27: 35008. DOI: 10.1088/0266-5611/27/3/035008 |
0.371 |
|
| 2011 |
Trefry MG, McLaughlin D, Lester DR, Metcalfe G, Johnston CD, Ord A. Stochastic relationships for periodic responses in randomly heterogeneous aquifers Water Resources Research. 47. DOI: 10.1029/2011Wr010444 |
0.374 |
|
| 2010 |
Trefry MG, McLaughlin D, Metcalfe G, Lester D, Ord A, Regenauer-Lieb K, Hobbs BE. On oscillating flows in randomly heterogeneous porous media. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 368: 197-216. PMID 19948551 DOI: 10.1098/Rsta.2009.0186 |
0.345 |
|
| 2010 |
Ng GC, McLaughlin D, Entekhabi D, Scanlon BR. Probabilistic analysis of the effects of climate change on groundwater recharge Water Resources Research. 46. DOI: 10.1029/2009Wr007904 |
0.709 |
|
| 2010 |
Jafarpour B, Goyal VK, McLaughlin DB, Freeman WT. Compressed History Matching: Exploiting Transform-Domain Sparsity for Regularization of Nonlinear Dynamic Data Integration Problems Mathematical Geosciences. 42: 1-27. DOI: 10.1007/S11004-009-9247-Z |
0.686 |
|
| 2009 |
Jafarpour B, McLaughlin DB. Estimating Channelized-Reservoir Permeabilities With the Ensemble Kalman Filter: The Importance of Ensemble Design Spe Journal. 14: 374-388. DOI: 10.2118/108941-Pa |
0.647 |
|
| 2009 |
Jafarpour B, McLaughlin DB. Reservoir Characterization With the Discrete Cosine Transform Spe Journal. 14: 182-201. DOI: 10.2118/106453-Pa |
0.619 |
|
| 2009 |
Jafarpour B, Goyal VK, McLaughlin DB, Freeman WT. Transform-domain sparsity regularization for inverse problems in geosciences Geophysics. 74: R69-R83. DOI: 10.1190/1.3157250 |
0.677 |
|
| 2009 |
Pan M, Wood EF, McLaughlin DB, Entekhabi D, Luo L. A multiscale ensemble filtering system for hydrologic data assimilation. Part I: Implementation and synthetic experiment Journal of Hydrometeorology. 10: 794-806. DOI: 10.1175/2009Jhm1088.1 |
0.762 |
|
| 2009 |
Wojcik R, McLaughlin D, Konings AG, Entekhabi D. Conditioning Stochastic Rainfall Replicates on Remote Sensing Data Ieee Transactions On Geoscience and Remote Sensing. 47: 2436-2449. DOI: 10.1109/Tgrs.2009.2016413 |
0.573 |
|
| 2009 |
Ng GC, McLaughlin D, Entekhabi D, Scanlon B. Using data assimilation to identify diffuse recharge mechanisms from chemical and physical data in the unsaturated zone Water Resources Research. 45. DOI: 10.1029/2009Wr007831 |
0.632 |
|
| 2009 |
Lawniczak W, Hanea R, Heemink A, McLaughlin D. Multiscale ensemble filtering for reservoir engineering applications Computational Geosciences. 13: 245-254. DOI: 10.1007/S10596-008-9103-0 |
0.457 |
|
| 2008 |
Zhou Y, McLaughlin D, Entekhabi D, Ng GC. An Ensemble Multiscale Filter for Large Nonlinear Data Assimilation Problems Monthly Weather Review. 136: 678-698. DOI: 10.1175/2007Mwr2064.1 |
0.612 |
|
| 2007 |
Ravela S, Emanuel K, McLaughlin D. Data assimilation by field alignment Physica D: Nonlinear Phenomena. 230: 127-145. DOI: 10.1016/J.Physd.2006.09.035 |
0.352 |
|
| 2007 |
Jafarpour B, McLaughlin DB. History matching with an ensemble Kalman filter and discrete cosine parameterization Proceedings - Spe Annual Technical Conference and Exhibition. 1: 235-251. DOI: 10.1007/S10596-008-9080-3 |
0.699 |
|
| 2007 |
Ravela S, McLaughlin D. Fast ensemble smoothing Ocean Dynamics. 57: 123-134. DOI: 10.1007/S10236-006-0098-6 |
0.392 |
|
| 2006 |
Zhou Y, McLaughlin D, Entekhabi D. Assessing the Performance of the Ensemble Kalman Filter for Land Surface Data Assimilation Monthly Weather Review. 134: 2128-2142. DOI: 10.1175/Mwr3153.1 |
0.613 |
|
| 2006 |
McLaughlin D, Zhou Y, Entekhabi D, Chatdarong V. Computational Issues for Large-Scale Land Surface Data Assimilation Problems Journal of Hydrometeorology. 7: 494-510. DOI: 10.1175/Jhm493.1 |
0.611 |
|
| 2006 |
Margulis SA, Entekhabi D, McLaughlin D. Spatiotemporal disaggregation of remotely sensed precipitation for ensemble hydrologic modeling and data assimilation Journal of Hydrometeorology. 7: 511-533. DOI: 10.1175/Jhm492.1 |
0.63 |
|
| 2006 |
Li C, Farahbakhshazad N, Jaynes DB, Dinnes DL, Salas W, McLaughlin D. Modeling nitrate leaching with a biogeochemical model modified based on observations in a row-crop field in Iowa Ecological Modelling. 196: 116-130. DOI: 10.1016/J.Ecolmodel.2006.02.007 |
0.371 |
|
| 2004 |
Valstar JR, McLaughlin DB, Stroet CBMt, Geer FCv. A representer-based inverse method for groundwater flow and transport applications Water Resources Research. 40. DOI: 10.1029/2003Wr002922 |
0.433 |
|
| 2004 |
McLaughlin D. Environmental data assimilation: methods and challenges Developments in Water Science. 55: 1331-1343. DOI: 10.1016/S0167-5648(04)80147-3 |
0.348 |
|
| 2004 |
Li SG, McLaughlin D, Liao H. The accuracy of stochastic perturbation solutions to subsurface transport problems Advances in Water Resources. 27: 47-56. DOI: 10.1016/J.Advwatres.2003.09.006 |
0.384 |
|
| 2003 |
Trefry MG, Ruan FP, McLaughlin D. Numerical simulations of preasymptotic transport in heterogeneous porous media: departures from the Gaussian limit Water Resources Research. 39: 101-1015. DOI: 10.1029/2001Wr001101 |
0.379 |
|
| 2003 |
Troch PA, Paniconi C, McLaughlin D. Catchment-scale hydrological modeling and data assimilation Advances in Water Resources. 26: 131-135. DOI: 10.1016/S0309-1708(02)00087-8 |
0.378 |
|
| 2003 |
Li SG, McLaughlin D, Liao HS. A computationally practical method for stochastic groundwater modeling Advances in Water Resources. 26: 1137-1148. DOI: 10.1016/J.Advwatres.2003.08.003 |
0.412 |
|
| 2002 |
Reichle RH, McLaughlin DB, Entekhabi D. Hydrologic Data Assimilation with the Ensemble Kalman Filter Monthly Weather Review. 130: 103-114. DOI: 10.1175/1520-0493(2002)130<0103:Hdawte>2.0.Co;2 |
0.626 |
|
| 2002 |
Margulis SA, McLaughlin D, Entekhabi D, Dunne S. Land data assimilation and estimation of soil moisture using measurements from the Southern Great Plains 1997 field experiment Water Resources Research. 38: 351-3518. DOI: 10.1029/2001Wr001114 |
0.63 |
|
| 2002 |
Li SG, McLaughlin D. Asymptotic properties of the Eulerian truncation approximation: Analysis of the perfectly stratified transport problem Water Resources Research. 38. DOI: 10.1029/2000Wr000040 |
0.356 |
|
| 2002 |
McLaughlin D. An integrated approach to hydrologic data assimilation: interpolation, smoothing, and filtering Advances in Water Resources. 25: 1275-1286. DOI: 10.1016/S0309-1708(02)00055-6 |
0.478 |
|
| 2001 |
Reichle RH, McLaughlin DB, Entekhabi D. Variational data assimilation of microwave radiobrightness observations for land surface hydrology applications Ieee Transactions On Geoscience and Remote Sensing. 39: 1708-1718. DOI: 10.1109/36.942549 |
0.638 |
|
| 2001 |
Reichle RH, Entekhabi D, McLaughlin DB. Downscaling of radio brightness measurements for soil moisture estimation: A four-dimensional variational data assimilation approach Water Resources Research. 37: 2353-2364. DOI: 10.1029/2001Wr000475 |
0.614 |
|
| 2001 |
Gorenburg IP, McLaughlin D, Entekhabi D. Scale-recursive assimilation of precipitation data Advances in Water Resources. 24: 941-953. DOI: 10.1016/S0309-1708(01)00033-1 |
0.575 |
|
| 2001 |
McLaughlin D, Ruan F. Macrodispersivity and Large-scale Hydrogeologic Variability Transport in Porous Media. 42: 133-154. DOI: 10.1007/978-94-017-1278-1_7 |
0.347 |
|
| 2000 |
Daniel MM, Willsky AS, McLaughlin D. A multiscale approach for estimating solute travel time distributions Advances in Water Resources. 23: 653-665. DOI: 10.1016/S0309-1708(99)00039-1 |
0.416 |
|
| 1999 |
Ruan F, McLaughlin D, Li S. A general technique for assessing the numerical accuracy of solute transport models Water Resources Research. 35: 3961-3966. DOI: 10.1029/1999Wr900244 |
0.364 |
|
| 1999 |
Ruan F, McLaughlin D. An investigation of Eulerian-Lagrangian methods for solving heterogeneous advection-dominated transport problems Water Resources Research. 35: 2359-2373. DOI: 10.1029/1999Wr900049 |
0.373 |
|
| 1998 |
Zimmerman DA, de Marsily G, Gotway CA, Marietta MG, Axness CL, Beauheim RL, Bras RL, Carrera J, Dagan G, Davies PB, Gallegos DP, Galli A, Gómez-Hernández J, Grindrod P, Gutjahr AL, ... ... McLaughlin D, et al. A comparison of seven geostatistically based inverse approaches to estimate transmissivities for modeling advective transport by groundwater flow Water Resources Research. 34: 1373-1413. DOI: 10.1029/98Wr00003 |
0.42 |
|
| 1998 |
Ruan F, McLaughlin D. An efficient multivariate random field generator using the fast Fourier transform Advances in Water Resources. 21: 385-399. DOI: 10.1016/S0309-1708(96)00064-4 |
0.331 |
|
| 1996 |
McLaughlin D, Townley LR. A Reassessment of the Groundwater Inverse Problem Water Resources Research. 32: 1131-1161. DOI: 10.1029/96Wr00160 |
0.393 |
|
| 1995 |
McLaughlin D. Recent developments in hydrologic data assimilation Reviews of Geophysics. 33: 977-984. DOI: 10.1029/95Rg00740 |
0.344 |
|
| 1995 |
Li S, McLaughlin D. Using the Nonstationary Spectral Method to Analyze Flow Through Heterogeneous Trending Media Water Resources Research. 31: 541-551. DOI: 10.1029/94Wr02531 |
0.352 |
|
| 1993 |
McLaughlin D, Reid LB, Li SG, Hyman J. A Stochastic Method for Characterizing Ground‐Water Contamination Ground Water. 31: 237-249. DOI: 10.1111/J.1745-6584.1993.Tb01816.X |
0.396 |
|
| 1992 |
Li S, Ruan F, McLaughlin D. A space-time accurate method for solving solute transport problems Water Resources Research. 28: 2297-2306. DOI: 10.1029/92Wr01009 |
0.366 |
|
| 1992 |
Luis SJ, McLaughlin D. A stochastic approach to model validation Advances in Water Resources. 15: 15-32. DOI: 10.1016/0309-1708(92)90029-2 |
0.385 |
|
| 1991 |
Li S, McLaughlin D. A nonstationary spectral method for solving stochastic groundwater problems: unconditional analysis Water Resources Research. 27: 1589-1605. DOI: 10.1029/91Wr00881 |
0.384 |
|
| 1991 |
Polmann DJ, McLaughlin D, Luis S, Gelhar LW, Ababou R. Stochastic modeling of large‐scale flow in heterogeneous unsaturated soils Water Resources Research. 27: 1447-1458. DOI: 10.1029/91Wr00762 |
0.365 |
|
| 1991 |
Graham WD, McLaughlin DB. A stochastic model of solute transport in groundwater: Application to the Borden, Ontario, Tracer Test Water Resources Research. 27: 1345-1359. DOI: 10.1029/91Wr00260 |
0.387 |
|
| 1990 |
Rajaram H, McLaughlin D. Identification of large‐scale spatial trends in hydrologic data Water Resources Research. 26: 2411-2423. DOI: 10.1029/Wr026I010P02411 |
0.416 |
|
| 1990 |
McLaughlin D, Graham W. Reply [to "Comment on `Stochastic analysis of nonstationary subsurface solute transport: 1. Unconditional moments' by W. Graham and D. McLaughlin"] Water Resources Research. 26: 1851-1853. DOI: 10.1029/Wr026I008P01851 |
0.532 |
|
| 1990 |
McLaughlin D, Velasco HL. Real‐time control of a system of large hydropower reservoirs Water Resources Research. 26: 623-635. DOI: 10.1029/Wr026I004P00623 |
0.354 |
|
| 1989 |
Graham W, McLaughlin D. Stochastic analysis of nonstationary subsurface solute transport: 2. Conditional moments Water Resources Research. 25: 2331-2355. DOI: 10.1029/Wr025I011P02331 |
0.614 |
|
| 1989 |
Graham W, McLaughlin D. Stochastic analysis of nonstationary subsurface solute transport: 1. Unconditional moments Water Resources Research. 25: 215-232. DOI: 10.1029/Wr025I002P00215 |
0.603 |
|
| 1989 |
Ababou R, McLaughlin D, Gelhar LW, Tompson AFB. Numerical simulation of three-dimensional saturated flow in randomly heterogeneous porous media Transport in Porous Media. 4: 549-565. DOI: 10.1007/Bf00223627 |
0.374 |
|
| 1988 |
McLaughlin D, Wood EF. A distributed parameter approach for evaluating the accuracy of groundwater model predictions: 2. Application to groundwater flow Water Resources Research. 24: 1048-1060. DOI: 10.1029/Wr024I007P01048 |
0.565 |
|
| 1988 |
McLaughlin D, Wood EF. A distributed parameter approach for evaluating the accuracy of groundwater model predictions: 1. Theory Water Resources Research. 24: 1037-1047. DOI: 10.1029/Wr024I007P01037 |
0.551 |
|
| 1988 |
Graham W, McLaughlin D. A Comparison of Numerical Solution Techniques for the Stochastic Analysis of Nonstationary, Transient, Subsurface Mass Transport Developments in Water Science. 35: 191-196. DOI: 10.1016/S0167-5648(08)70337-X |
0.583 |
|
| 1987 |
McLaughlin D, Johnson WK. Comparison of Three Groundwater Modeling Studies Journal of Water Resources Planning and Management. 113: 405-421. DOI: 10.1061/(Asce)0733-9496(1987)113:3(405) |
0.365 |
|
| 1987 |
Moughamian MS, McLaughlin DB, Bras RL. Estimation of flood frequency: An evaluation of two derived distribution procedures Water Resources Research. 23: 1309-1319. DOI: 10.1029/Wr023I007P01309 |
0.357 |
|
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