Auxiliary Materials for ‘Mapping permeability over the surface of the earth’ [Gleeson et al.] Methods Table S1 is a compilation of horizontal intrinsic permeability, vertical anisotropy and horizontal unit length from peer-reviewed, calibrated models with hydrolithologic units that are >5 km in length with a shallow upper contact (<100 m depth). Models generally assume horizontal isotropy. Models are not included if the permeability is assigned (rather than calibrated), calibration criteria are unclear or where the geologic units are insufficiently described. Potential bias is reduced by including a diversity of model software, modelers, geographical areas and calibration targets (flow, tracer, heat) and excluding multiple models from the same geographic area. In the few cases that permeability was reported as a range, the geometric mean of the bounding values is assumed to represent a reasonable estimate of the mean. Unbounded values are discarded because it is difficult to determine a reasonable estimate of the mean. If the hydrolithologic unit is greater than 100 km in length, 100 km is reported as the length in the compilation so that values can be graphed. Hydraulic conductivity (m/s) is converted to intrinsic permeability (m2) assuming fresh water at near surface conditions since we are examining the near surface. Permeability (k) is expressed as log10(k). Normality of logk was examined using the Shapiro-Wilk and the non-parametric Kolmogorov-Smirnov tests, the latter of which can be used for small populations. For calculating the geometric mean of combined hydrolithologic categories, n for each hydrolithologic category is weighted by the global volumetric ratio of aquifer material in fine to coarse grained sediments [Füchtbauer, 1974] rather than bias the combined geometric mean by n. The lithology maps were originally derived for examining the role of lithology on river geochemistry [Dürr, et al., 2005; Jansen, et al., 2010]. For the global lithologic map, dune and alluvial units were always mapped whereas other unconsolidated units (i.e. loess and glacial till) were mapped if the unit thickness suggested it would be important for hydrogeochemistry [Dürr, et al., 2005]. Unconsolidated units are mapped somewhat differently in the digital sources of the North America map [Jansen, et al., 2010]. In western North America, geologic maps consist of a mix of mapped exposed bedrock areas and unconsolidated units (valley fill or alluvium), due to extensive bedrock exposure. In the eastern North America, separate bedrock maps and surficial deposit maps are typically produced due to limited bedrock exposure. The lithologic map of eastern North America is derived primarily on the bedrock maps and therefore is slightly biased towards the bedrock lithology in this area. Lithologies were combined and paired with hydrolithologies based on lithologic and hydrogeologic compatibility (Table 1). For example, basic volcanic, intermediate volcanic and acidic volcanic lithologies were combined and paired to the volcanic hydrolithology. The spatially-distributed permeability statistics (mean ± standard deviation) are raster statistics calculated in ArcGIS9.3 after the permeability polygons for North America and the world are converted to a 1 km resolution raster. Figure S1. Histogram of the North America permeability map (Figure 2c) converted to 1 km resolution raster. a, conterminous United States. b, principal aquifers of the conterminous United States which are a characterized by a larger percentage of permeable material. Figure S2. Detailed maps of the standard deviation of permeability a, globally and b, over North America. Table S1. Compilation of regional scale hydrogeologic models. Hydrolithology Location category1 3 3 3 5 5 5 5 5 5 6 6 6 3 1 1 1 1 2 2 2 1 1 1 1 1 1 1 1 1 1 1 2 7 6 6 6 2 6 6 7 7 5 5 1 1 2 Virginia, USA Virginia, USA Virginia, USA Virginia, USA Virginia, USA Virginia, USA Virginia, USA Virginia, USA Virginia, USA Virginia, USA Virginia, USA Virginia, USA Utah, USA Virginia, USA Virginia, USA Virginia, USA Virginia, USA Virginia, USA Virginia, USA Virginia, USA New Mexico, USA New Mexico, USA New Mexico, USA New Mexico, USA New Mexico, USA New Mexico, USA New Mexico, USA New Mexico, USA New Mexico, USA New Mexico, USA New Mexico, USA New Mexico, USA New Mexico, USA Georgia, USA France Utah, USA Southeastern USA Finland Switzerland British Columbia, Canada Oregon, USA Florida, USA Florida, USA California, USA California, USA California, USA Logk Horizontal Calibration Reference (m2) length2 (km) target3 -12.5 -12.5 -12.7 -11.4 -11.4 -11.6 -11.8 -11.9 -12.0 -12.7 -12.8 -12.9 -14.3 -10.6 -11.7 -11.8 -11.8 -15.0 -15.2 -15.6 -9.4 -10.2 -11.1 -11.4 -11.7 -11.8 -11.9 -11.9 -12.0 -12.2 -12.2 -12.8 -11.0 -15.6 -15.0 -12.7 -7.0 -14.2 -16.0 -14.5 -7.0 -10.4 -13.4 -8.8 -9.6 -13.1 5 5 5 5 5 5 5 5 5 5 5 5 80 25 25 25 25 25 25 25 5 5 5 10 5 5 5 5 5 5 5 5 10 51 25 28 100 60 20 6 23 100 100 100 100 100 2 2 2 2 2 2 2 2 2 2 2 2 3 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 1 3 3 3 1 0 2 2 1 1 1 [Yager, et al., 2009] [Yager, et al., 2009] [Yager, et al., 2009] [Yager, et al., 2009] [Yager, et al., 2009] [Yager, et al., 2009] [Yager, et al., 2009] [Yager, et al., 2009] [Yager, et al., 2009] [Yager, et al., 2009] [Yager, et al., 2009] [Yager, et al., 2009] [Willet and Chapman, 1989] [Sanford, et al., 2009] [Sanford, et al., 2009] [Sanford, et al., 2009] [Sanford, et al., 2009] [Sanford, et al., 2009] [Sanford, et al., 2009] [Sanford, et al., 2009] [Sanford, et al., 2004] [Sanford, et al., 2004] [Sanford, et al., 2004] [Sanford, et al., 2004] [Sanford, et al., 2004] [Sanford, et al., 2004] [Sanford, et al., 2004] [Sanford, et al., 2004] [Sanford, et al., 2004] [Sanford, et al., 2004] [Sanford, et al., 2004] [Sanford, et al., 2004] [Sanford, et al., 2004] [Marine, 1981] [Maréchal, et al., 1999] [Manning and Solomon, 2005] [Lee, et al., 1996] [Kukkonen and Clauser, 1994] [Kohl, et al., 2001] [Jamieson and Freeze, 1983] [Ingebritsen, et al., 1992] [Hughes, et al., 2009] [Hughes, et al., 2009] [Faunt, 2009] [Faunt, 2009] [Faunt, 2009] Hydrolithology Location category1 2 4 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 6 3 4 California, USA Southeastern USA Southeastern USA Southeastern USA Southeastern USA Southeastern USA Southeastern USA Southeastern USA Southeastern USA Southeastern USA Southeastern USA Southeastern USA Southeastern USA Southeastern USA Southeastern USA Southeastern USA Southeastern USA Southeastern USA Southeastern USA Southeastern USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA Mississippi, USA France New Mexico, USA New Mexico, USA Logk Horizontal Calibration Reference (m2) length2 (km) target3 -13.5 -16.9 -17.5 -10.9 -11.1 -11.3 -11.3 -11.8 -11.8 -12.1 -12.2 -12.2 -12.3 -12.5 -12.7 -12.7 -12.9 -12.9 -12.9 -13.4 -9.7 -9.8 -9.8 -9.9 -10.2 -10.2 -10.3 -10.3 -10.5 -10.7 -10.9 -11.0 -11.0 -11.0 -11.0 -11.1 -11.1 -11.4 -11.7 -11.9 -12.1 -12.3 -12.5 -13.3 -13.5 -14.8 -13.3 -13.5 -15.0 100 5 5 20 60 75 60 60 20 20 25 60 15 20 30 40 60 30 40 10 10 5 5 15 10 10 50 5 10 30 30 10 60 100 50 100 100 60 100 100 100 100 25 100 100 20 11 75 75 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 [Faunt, 2009] [Czarnecki, et al., 2009] [Czarnecki, et al., 2009] [Czarnecki, et al., 2009] [Czarnecki, et al., 2009] [Czarnecki, et al., 2009] [Czarnecki, et al., 2009] [Czarnecki, et al., 2009] [Czarnecki, et al., 2009] [Czarnecki, et al., 2009] [Czarnecki, et al., 2009] [Czarnecki, et al., 2009] [Czarnecki, et al., 2009] [Czarnecki, et al., 2009] [Czarnecki, et al., 2009] [Czarnecki, et al., 2009] [Czarnecki, et al., 2009] [Czarnecki, et al., 2009] [Czarnecki, et al., 2009] [Czarnecki, et al., 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Clark and Hart, 2009] [Bortolami, et al., 1979] [Weiss and Smith, 1998] [Weiss and Smith, 1998] Hydrolithology Location category1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 4 5 1 1 1 1 1 1 1 1 1 1 4 4 4 5 5 5 5 5 5 5 5 5 5 5 Massachusetts, USA Massachusetts, USA Wisconsin, USA Southeastern USA Southeastern USA Southeastern USA Southeastern USA Southeastern USA Southeastern USA Ontario, Canada Ontario, Canada Ontario, Canada Ontario, Canada Ontario, Canada Ontario, Canada Ontario, Canada Ontario, Canada Ontario, Canada Ontario, Canada Ontario, Canada Ontario, Canada Ontario, Canada Ontario, Canada Ontario, Canada Ontario, Canada Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Logk Horizontal Calibration Reference (m2) length2 (km) target3 -10.3 -10.3 -10.9 -10.1 -10.4 -10.6 -10.9 -11.2 -11.6 -8.3 -9.0 -9.3 -10.0 -10.3 -11.3 -13.0 -13.3 -14.3 -14.3 -15.0 -16.0 -17.0 -18.0 -15.0 -11.0 -11.3 -11.8 -12.2 -12.3 -12.3 -12.7 -12.8 -12.8 -13.0 -13.4 -14.7 -14.9 -16.2 -11.3 -11.5 -11.6 -12.2 -12.5 -12.6 -13.4 -13.4 -13.5 -13.9 -14.8 9 9 15 100 100 100 100 100 100 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 10 5 8 5 10 5 30 10 5 10 20 20 20 8 0 8 10 20 0 10 8 10 10 15 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 [Anderman, et al., 1996] [Anderman, et al., 1996] [Hunt, et al., 2006] [Williamson and Grubb, 2001] [Williamson and Grubb, 2001] [Williamson and Grubb, 2001] [Williamson and Grubb, 2001] [Williamson and Grubb, 2001] [Williamson and Grubb, 2001] [Martin and Frind, 1998] [Martin and Frind, 1998] [Martin and Frind, 1998] [Martin and Frind, 1998] [Martin and Frind, 1998] [Martin and Frind, 1998] [Martin and Frind, 1998] [Martin and Frind, 1998] [Martin and Frind, 1998] [Martin and Frind, 1998] [Martin and Frind, 1998] [Martin and Frind, 1998] [Martin and Frind, 1998] [Martin and Frind, 1998] [Martin and Frind, 1998] [Martin and Frind, 1998] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] Hydrolithology Location category1 5 5 6 6 6 6 7 7 7 7 7 7 7 7 7 7 7 7 7 1 5 5 7 7 7 7 7 7 7 7 7 1 2 3 5 6 7 4 5 4 4 1 2 2 3 4 5 5 5 Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Nevada, USA Arizona, USA Arizona, USA Arizona, USA Arizona, USA Arizona, USA Arizona, USA South Dakota, USA New York, USA Barbados South Dakota, USA Manitoba, Canada Manitoba, Canada Manitoba, Canada Manitoba, Canada Manitoba, Canada Manitoba, Canada Florida, USA Florida, USA Logk Horizontal Calibration Reference (m2) length2 (km) target3 -15.1 -16.1 -14.5 -14.5 -14.6 -17.2 -10.1 -11.4 -11.4 -12.6 -12.9 -13.1 -13.1 -13.2 -13.2 -14.3 -14.5 -15.0 -15.3 -11.3 -12.0 -13.3 -10.8 -11.1 -12.0 -12.6 -13.1 -13.3 -14.7 -15.3 -15.7 -12.0 -12.5 -12.3 -13.1 -14.2 -13.7 -17.2 -11.3 -18.0 -20.5 -10.0 -12.1 -13.0 -12.2 -17.0 -11.8 -8.2 -8.0 20 5 10 10 10 10 10 5 10 5 10 0 10 5 5 30 40 10 10 0 0 0 0 0 0 0 0 0 0 0 0 5 5 10 8 5 10 0 10 26 0 100 100 100 100 100 100 50 100 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Belcher, 2004] [Zyvoloski, et al., 2003] [Zyvoloski, et al., 2003] [Zyvoloski, et al., 2003] [Zyvoloski, et al., 2003] [Zyvoloski, et al., 2003] [Zyvoloski, et al., 2003] [Zyvoloski, et al., 2003] [Zyvoloski, et al., 2003] [Zyvoloski, et al., 2003] [Zyvoloski, et al., 2003] [Zyvoloski, et al., 2003] [Zyvoloski, et al., 2003] [Pool and Dickinson, 2006] [Pool and Dickinson, 2006] [Pool and Dickinson, 2006] [Pool and Dickinson, 2006] [Pool and Dickinson, 2006] [Pool and Dickinson, 2006] [Bredehoeft, et al., 1983] [Yager, 1996] [Screaton, et al., 1990] [Neuzil, 1993] [Kennedy and Woodbury, 2005] [Kennedy and Woodbury, 2005] [Kennedy and Woodbury, 2005] [Kennedy and Woodbury, 2005] [Kennedy and Woodbury, 2005] [Kennedy and Woodbury, 2005] [Langevin, et al., 2005] [Langevin, 2003] Hydrolithology Location category1 6 5 3 7 7 7 7 7 7 7 7 1 1 1 1 1 2 6 3 1 1 2 2 1 1 1 2 2 2 1 1 1 1 2 1 2 2 1 Manitoba, Canada Texas, USA Chile Nicaragua Nicaragua Nicaragua Nicaragua Nicaragua Nicaragua Nicaragua Nicaragua China China Bangladesh Bangladesh India India India Brazil Vietnam Vietnam Vietnam Vietnam Belgium Belgium Belgium Belgium Belgium Belgium Poland Poland Poland Poland Poland Minnesota, USA Minnesota, USA Minnesota, USA Argentina Logk Horizontal Calibration Reference (m2) length2 (km) target3 -15.0 -8.3 -11.4 -10.0 -10.4 -11.2 -14.9 -10.1 -10.3 -11.2 -14.9 -11.6 -11.1 -10.3 -10.1 -10.1 -10.4 -11.1 -11.6 -10.3 -10.0 -14.4 -14.7 -10.5 -10.9 -16.5 -14.5 -17.4 -19.0 -10.8 -10.5 -10.9 -11.2 -14.4 -11.0 -14.0 -13.4 -10.6 50 100 20 8 8 8 8 8 8 8 8 100 100 100 100 28 28 28 100 15 15 15 15 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 [Ophori, 2004] [Maclay and Land, 1988] [Rojas and Dassargues, 2007] [Calderón Palma and Bentley, 2007] [Calderón Palma and Bentley, 2007] [Calderón Palma and Bentley, 2007] [Calderón Palma and Bentley, 2007] [Moncrieff, et al., 2008] [Moncrieff, et al., 2008] [Moncrieff, et al., 2008] [Moncrieff, et al., 2008] [Li-Tang, et al., 2007] [Li-Tang, et al., 2007] [Michael and Voss, 2009] [Michael and Voss, 2009] [Senthilkumar and Elango, 2004] [Senthilkumar and Elango, 2004] [Senthilkumar and Elango, 2004] [Rabelo and Wendland, 2009] [Jusseret, et al., 2009] [Jusseret, et al., 2009] [Jusseret, et al., 2009] [Jusseret, et al., 2009] [Gedeon, et al., 2007] [Gedeon, et al., 2007] [Gedeon, et al., 2007] [Gedeon, et al., 2007] [Gedeon, et al., 2007] [Gedeon, et al., 2007] [Jaworska-Szulc, 2009] [Jaworska-Szulc, 2009] [Jaworska-Szulc, 2009] [Jaworska-Szulc, 2009] [Jaworska-Szulc, 2009] [Reeve, et al., 2001] [Reeve, et al., 2001] [Reeve, et al., 2001] [Varni and Usunoff, 1999] 1Hydrolithologic category (1 = coarse-grained unconsolidated; 2 = fine-grained unconsolidated; 3 = coarse-grained siliciclastic sedimentary; 4 = fine-grained siliciclastic sedimentary; 5 = carbonate; 6 = crystalline; 7 = volcanic) 2Horizontal length is 100 km if >100 km 3Calibration (flow calibrated =1; flow and tracer calibrated = 2; flow and heat calibrated = 3; X = other) References: Anderman, E. R., et al. (1996), Two-dimensional advective transport in ground-water flow parameter estimation, Ground Water, 34, 1001-1009. Belcher, W. R. (2004), Death Valley regional ground-water flow system, Nevada and California - hydrogeologic framework and transient ground-water flow model, U. S. Geological Survey Scientific Investigations Report 2004-5205, 408p. Bortolami, G. C., et al. (1979), Infiltration rate through the crystalline massif of Mont Blanc evidenced by environmental isotope measurements, in Low-flow, lowpermeability measurements in largely impermeable rocks, edited, pp. 237-247, OECD. Bredehoeft, J. D., et al. (1983), Regional flow in the Dakota aquifer; a study of the role of confining layers, 45 pp, USGS Water Supply Paper 2237. Calderón Palma, H., and L. Bentley (2007), A regional-scale groundwater flow model for the Leon-Chinandega aquifer, Nicaragua, Hydrogeology Journal, 15, 1457-1472. Clark, B. R., and R. M. Hart (2009), The Mississippi Embayment Regional Aquifer Study (MERAS): Documentation of a Groundwater-Flow Model Constructed to Assess Water Availability in the Mississippi Embayment, U. S. Geological Survey Scientific Investigations Report 2009-5172, 62p. Czarnecki, J. B., et al. (2009), Groundwater-Flow Model of the Ozark Plateaus Aquifer System, Northwestern Arkansas, Southeastern Kansas, Southwestern Missouri, and Northeastern Oklahoma, U. S. Geological Survey Scientific Investigations Report 2009-5148, 62p. Dürr, H. H., et al. (2005), Lithologic composition of the Earth's continental surfaces derived from a new digital map emphasizing riverine material transfer, Global Biogeochem. Cycles, 19. Faunt, C. C. (2009), Groundwater Availability of the Central Valley Aquifer, California, U. S. Geological Survey Professional Paper 1766, 227p. Füchtbauer, H. (1974), Sediments and sedimentary rock 1, 464 pp., Wiley, Hoboken, NJ. Gedeon, M., et al. (2007), Regional groundwater model of north-east Belgium, Journal of Hydrology, 335, 133-139. Hughes, J., et al. (2009), Temporal response of hydraulic head, temperature, and chloride concentrations to sea-level changes, Floridan aquifer system, USA, Hydrogeology Journal, 17, 793-815. Hunt, R. J., et al. (2006), The importance of diverse data types to calibrate a watershed model of the Trout Lake Basin, Northern Wisconsin, USA, Journal of Hydrology, 321, 286-296. Ingebritsen, S. E., et al. (1992), Rates and patterns of groundwater flow in the Cascade range volcanic arc, and the effect on subsurface temperatures, Journal of Geophysical Research, 97, 4599-4627. Jamieson, G. R., and R. A. Freeze (1983), Determining hydraulic conductivity distributions in a mountainous area using mathematical modeling, Ground Water, 21, 168-177. Jansen, N., et al. (2010), Dissolved silica mobilization in the conterminous USA, Chemical Geology, 270, 90-109. Jaworska-Szulc, B. (2009), Groundwater flow modelling of multi-aquifer systems for regional resources evaluation: the Gdansk hydrogeological system, Poland, Hydrogeology Journal, 17, 1521-1542. Jusseret, S., et al. (2009), Groundwater flow modelling in the central zone of Hanoi, Vietnam, Hydrogeology Journal, 17, 915-934. Kennedy, P. L., and A. D. Woodbury (2005), Sustainability of the bedrock aquifer systems in south-central Manitoba: implications for large-scale modelling, Canadian Water Resources Journal, 30, 281-296. Kohl, T., et al. (2001), Three-dimensional (3-D) thermal investigation below high Alpine topography, Physics of The Earth and Planetary Interiors, 126, 195-210. Kukkonen, I. T., and C. Clauser (1994), Simulation of heat transfer at the Kolla deep-hole site: implications for advection, heat refraction and palaeoclimatic effects, Geophys. Journal International, 116, 409-420. Langevin, C., et al. (2005), Simulation of integrated surface-water/ground-water flow and salinity for a coastal wetland and adjacent estuary, Journal of Hydrology, 314, 212-234. Langevin, C. D. (2003), Simulation of submarine ground water discharge to a marine estuary: Biscayne Bay, Florida, Ground Water, 41, 758-771. Lee, Y., et al. (1996), Heat flow and heat production in the Arkoma Basin and Oklahoma Platform, southeastern Oklahoma, J. Geophys. Res., 101, 25,387-325,401. Li-Tang, H., et al. (2007), Simulated groundwater interaction with rivers and springs in the Heihe river basin, Hydrological Processes, 21, 2794-2806. Maclay, R. W., and L. F. Land (1988), Simulation of flow in the Edwards Aquifer, San Antonio region, Texas, and refinement of storage and flow concepts, U. S. Geological Survey Water Supply Paper 2336-A, 48p. Manning, A. H., and D. K. Solomon (2005), An integrated environmental tracer approach to characterizing groundwater circulation in a mountain block, Water Resources Research, 41, doi:10.1029/2005WR004178 Maréchal, J. C., et al. (1999), Long-term simulations of thermal and hydraulic characteristics in a mountain massif: The Mont Blanc case study, French and Italian Alps, Hydrogeology Journal, 7, 341-354. Marine, I. W. (1981), Comparison of laboratory, in situ, and rock mass measurements of the hydraulic conductivity of metamorphic rock at the Savannah River plant near Aiken, South Carolina, Water Resour. Res., 17, 637-640. Martin, P. J., and E. O. Frind (1998), Modeling a complex multi-aquifer system: the Waterloo moraine, Ground Water, 36, 679-690. Michael, H., and C. Voss (2009), Estimation of regional-scale groundwater flow properties in the Bengal Basin of India and Bangladesh, Hydrogeology Journal, 17, 1329-1346. Moncrieff, J., et al. (2008), Investigating pesticide transport in the León-Chinandega aquifer, Nicaragua, Hydrogeology Journal, 16, 183-197. Neuzil, C. E. (1993), Low fluid pressure within the Pierre Shale: a transient response to erosion, Water Resour. Res., 29, 2007-2020. Ophori, D. (2004), A simulation of large-scale groundwater flow and travel time in a fractured rock environment for waste disposal purposes, Hydrological Processes, 18, 1579-1593. Pool, D. R., and J. E. Dickinson (2006), Ground-Water Flow Model of the Sierra Vista Subwatershed and Sonoran Portions of the Upper San Pedro Basin, Southeastern Arizona, United States, and Northern Sonora, Mexico, U. S. Geological Survey Scientific Investigations Report 2006-5228, 49p. Rabelo, J., and E. Wendland (2009), Assessment of groundwater recharge and water fluxes of the Guarani Aquifer System, Brazil, Hydrogeology Journal, 17, 17331748. Reeve, A. S., et al. (2001), Regional ground-water flow modeling of the Glacial Lake Agassiz Peatlands, Minnesota, Journal of Hydrology, 243, 91-100. Rojas, R., and A. Dassargues (2007), Groundwater flow modelling of the regional aquifer of the Pampa del Tamarugal, northern Chile, Hydrogeology Journal, 15, 537-551. Sanford, W. E., et al. (2004), Use of environmental tracers to estimate parameters for a predevelopment-ground-water-flow model of the Middle Rio Grande Basin, New Mexico, U. S. Geological Survey Water-Resources Investigations Report 20034286, 102p. Sanford, W. E., et al. (2009), Simulation of groundwater-level and salinity changes in the Eastern Shore, Virginia, U. S. Geological Survey Scientific Investigations Report 2009-5066, 126p. Screaton, E. J., et al. (1990), Permeabilities, Fluid Pressures, and Flow Rates in the Barbados Ridge Complex, J. Geophys. Res., 95, 8997-9007. Senthilkumar, M., and L. Elango (2004), Three-dimensional mathematical model to simulate groundwater flow in the lower Palar River basin, southern India, Hydrogeology Journal, 12, 197-208. Varni, M. R., and E. J. Usunoff (1999), Simulation of regional-scale groundwater flow in the Azul River basin, Buenos Aires Province, Argentina, Hydrogeology Journal, 7, 180-187. Weiss, R., and L. Smith (1998), Parameter space methods in joint parameter estimation for groundwater flow models, Water Resour. Res., 34, 647-661. Willet, S., and D. Chapman (1989), Temperatures, fluid flow and heat transfer mechanisms in the Uinta Basin, in Hydrogeological regimes and their subsurface thermal effects, edited by A. E. Beck, et al., AGU Geophysical Monograph 47, Washington. Williamson, A. K., and H. F. Grubb (2001), Ground-water flow in the Gulf Coast aquifer systems, south-central United States, U. S. Geological Survey Professional Paper 1416-F, 173p. Yager, R. M. (1996), Simulated three-dimensional ground-water flow in a fractured dolomite aquifer of the Lockport Group near Niagara Falls, New York, U. S. Geological Survey Water Supply Paper 2487, 42 p. Yager, R. M., et al. (2009), Simulation of ground-water flow in the Shenandoah Valley, Virginia and West Virginia, using variable-direction anisotropy in hydraulic conductivity to represent bedrock structure, 54 pp, U. S. Geological Survey Scientific Investigations Report 2008-5002, 54p. Zyvoloski, G., et al. (2003), The site-scale saturated zone flow model for Yucca Mountain: calibration of different conceptual models and their impact on flow paths, Journal of Contaminant Hydrology, 62-63, 731-750.