Patterns in soil -vegetation-atmosphere systems: Monitoring, modeling, and data assimilation

Vadose Zone Journal

Volumn 9, Issue 4, 2010, Pages 821-827

  Vereecken, H ^a   Kollet, S ^b   Simmer, C ^b  

^a FORSCHUNGSZENTRUM JÜLICH   (Germany)

^b UNIVERSITY OF BONN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COLLABORATIVE RESEARCH; DATA ASSIMILATION; DATA ASSIMILATION METHODS; GERMANY; INTERNATIONAL WORKSHOPS; MESOSCALE CATCHMENTS; NON-INVASIVE MEASUREMENT TECHNIQUE; PORE SCALE; RESEARCH CENTER; RESEARCH TOPICS; SCIENCE DISCIPLINES; SOIL VEGETATION ATMOSPHERES; SPATIAL PATTERNS; STATE VARIABLES; TWO-WAY COUPLING; VADOSE ZONE;

CATCHMENTS; RESEARCH; SOILS; VEGETATION;

DATA PROCESSING;

CATCHMENT; DATA ASSIMILATION; EARTH SCIENCE; ENVIRONMENTAL MONITORING; EVAPOTRANSPIRATION; FLUX MEASUREMENT; MESOSCALE MOTION; NUMERICAL MODEL; RESEARCH WORK; SOIL TYPE; VADOSE ZONE; VEGETATION STRUCTURE;

GERMANY; NORTH RHINE-WESTPHALIA;

EID: 79960177944     PISSN: None     EISSN: 15391663     Source Type: Journal    
DOI: 10.2136/vzj2010.0122     Document Type: Article

References (62)

1. Almagro, M., J. Lopez, J.I. Querejeta, and M. Martinez-Mena. 2009. Temperature dependence of soil CO2 efflux is strongly modulated by seasonal patterns of moisture availability in a mediterranean ecosystem. Soil Biol. Biochem. 41:594-605.
2. Bedison, J.E., and A.H. Johnson. 2009. Controls on the spatial patterns of carbon and nitrogen in Adirondack forest soils along a gradient of nitrogen deposition. Soil Sci. Soc. Am. J. 73:2105-2117.
3. Blume, T., E. Zehe, and A. Bronstert. 2009. Use of soil moisture dynamics and patterns at different spatio-temporal scales for the investigation of subsurface flow processes. Hydrol. Earth Syst. Sci. 13:1215-1233.
4. Bogena, H.R., M. Herbst, J.A. Huisman, U. Rosenbaum, A. Weuthen, and H. Vereecken. 2010. Potential of wireless sensor networks for measuring soil water content variability. Vadose Zone J. 9:1002-1013 (this issue).
5. Borcard, D., and P. Legendre. 2002. All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices. Ecol. Modell. 153:51-68.
6. Dawson, C. 2008. A continuous/discontinuous galerkin framework for modeling coupled subsurface and surface water flow. Comput. Geosci. 12:451-472.
7. Draye, X., Y. Kim, G. Lobet, and M. Javaux. 2010. Model-assisted integration of physiological and environmental constraints affecting the dynamic and spatial patterns of root water uptake from soils. J. Exp. Bot. 61:2145-2155.
8. Drusch, M., C. Simmer, and E.F. Wood. 1999. Up-scaling effects in passive microwave remote sensing: ESTAR 1.4 GHz measurements during SGP'97. Geophys. Res. Lett. 26:879-882.
9. Garré S., M. Javaux, J. Vanderborght, L. Pagès, and H. Vereecken. 2010. Three-dimensional electrical resistivity tomography to monitor root zone water dynamics. Vadose Zone J. (in press).
10. Ebel, B.A., B.B. Mirus, C.S. Heppner, J.E. VanderKwaak, and K. Loague. 2009. First-order exchange coefficient coupling for simulating surface watergroundwater interactions: Parameter sensitivity and consistency with a physics-based approach. Hydrol. Processes 23:1949-1959.
11. Feddes, R.A., E. Bresler, and S.P. Neuman. 1974. Field test of a modified numerical-model for water uptake by root systems. Water Resour. Res. 10:1199-1206.
12. Flury, M., H. Fluhler, W.A. Jury, and J. Leuenberger. 1994. Susceptibility of soils to preferential flow of water-A field study. Water Resour. Res. 30:1945-1954.
13. Haber, A., S. Haber-Pohlmeier, and F. Casanova. 2010. Bernhard Blümich relaxa tion-relaxation experiments in natural porous media with portable Halbach magnets. Vadose Zone J. 9:893-897 (this issue).
14. Haber-Pohlmeier, S., M. Bechtold, S. Stapf, and A. Pohlmeier. 2010. Water flow monitored by tracer transport in natural porous media using magnetic resonance imaging. Vadose Zone J. 9:835-845 (this issue).
15. Hanson, P.J., S.D. Wullschleger, S.A. Bohlman, and D.E. Todd. 1993. Seasonal and topographic patterns of forest floor CO2 efflux from an upland oak forest. Tree Physiol. 13:1-15.
16. Hendricks-Franssen, H.J.H., and W. Kinzelbach. 2008. Real-time groundwater flow modeling with the ensemble kalman filter: Joint estimation of states and parameters and the filter inbreeding problem. Water Resour. Res. 44:W09408, doi:10.1029/2007WR006505.
17. Hwang, T., L. Band, and T.C. Hales. 2009. Ecosystem processes at the watershed scale: Extending optimality theory from plot to catchment. Water Resour. Res. 45:20.
18. Javaux, M., T. Schroder, J. Vanderborght, and H. Vereecken. 2008. Use of a three-dimensional detailed modeling approach for predicting root water uptake. Vadose Zone J. 7:1079-1088.
19. Kneifel, S., S. Crewell, U. Löhnert, and J. Schween. 2009. Investigating water vapor variability by ground-based microwave radiometry: Evaluation using airborne observations. IEEE Geosci. Remote Sens. Lett. 6:157-161, doi:10.1109/LGRS.2008.2007659.
20. Kollet, S., and R.M. Maxwell. 2008. Capturing the influence of groundwater dynamics on land surface processes using an integrated, distributed watershed model. Water Resour. Res. 44, doi:10.1029/2007WR006004.
21. Koyama, C.N., W. Korres, P. Fiener, and K. Schneider. 2010. Variability of surface soil moisture observed from multitemporal C-band synthetic aperture radar and field data. Vadose Zone J. 9:1014-1024 (this issue).
22. Levin, S.A. 1992. The problem of pattern and scale in ecology. Ecology 73:1943-1967.
23. Löhnert, U., S. Crewell, and C. Simmer. 2004. An integrated approach towards retrieving physically consistent profiles of temperature, humidity, and cloud liquid water. J. Appl. Meteorol. 43:1295-1307.
24. Mann, J., J.P. Cariou, M.S. Courtney, R. Parmentier, T. Mikkelsen, R. Wagner, P. Lindelow, M. Sjoholm, and K. Enevoldsen. 2009. Comparison of 3D turbulence measurements using three staring wind lidars and a sonic anemometer. Meteorol. Z. 18:135-140.
25. Martin, J.G., and P.V. Bolstad. 2009. Variation of soil respiration at three spatial scales: Components within measurements, intra-site variation and patterns on the landscape. Soil Biol. Biochem. 41:530-543.
26. Martínez, G., K. Vanderlinden, J.V. Giráldez, A.J. Espejo, and J.L. Muriel. 2010. Field-scale soil moisture pattern mapping using electromagnetic induction. Vadose Zone J. 9:871-881 (this issue).
27. Maxwell, R.M. 2010. Infiltration in arid environments: Spatial patterns between subsurface heterogeneity and water-energy balances. Vadose Zone J. 9:970-983 (this issue).
28. Maxwell, R.M., F.K. Chow, and S.J. Kollet. 2007. The groundwater-land-surface-atmosphere connection: Soil moisture effects on the atmospheric boundary layer in fully-coupled simulations. Adv. Water Resour. 30:2447-2466.
29. Mohnke, O., and N. Klitzsch. 2010. Microscale simulations of NMR relaxation in porous media considering internal field gradients. Vadose Zone J. 9:846-857 (this issue).
30. Neukirch, M., and N. Klitzsch. 2010. Inverting capacitive resistivity (line electrode) measurements with direct current inversion programs. Vadose Zone J. 9:882-892 (this issue).
31. Niu, G.Y., Z.L. Yang, R.E. Dickinson, L.E. Gulden, and H. Su. 2007. Development of a simple groundwater model for use in climate models and evalua tion with gravity recovery and climate experiment data. J. Geophys. Res. Atmos. 112.
32. Panday, S., and P.S. Huyakorn. 2004. A fully coupled physically-based spatially- distributed model for evaluating surface/subsurface flow. Adv. Water Resour. 27:361-382.
33. Patton, E.G., P.P. Sullivan, and C.H. Moeng. 2005. The influence of idealized heterogeneity on wet and dry planetary boundary layers coupled to the land surface. J. Atmos. Sci. 62:2078-2097.
34. Raich, J.W., and C.S. Potter. 1995. Global patterns of carbon-dioxide emissions from soils. Global Biogeochem. Cycles 9:23-36.
35. Robinson, D.A., A. Binley, N. Crook, F.D. Day-Lewis, T.P.A. Ferre, V.J.S. Grauch, R. Knight, M. Knoll, V. Lakshmi, R. Miller, J. Nyquist, L. Pellerin, K. Singha, and L. Slater. 2008. Advancing process-based watershed hydrological research using near-surface geophysics: A vision for, and review of, electrical and magnetic geophysical methods. Hydrol. Processes 22:3604-3635.
36. Rudi, J., R. Pabel, G. Jager, R. Koch, A. Kunoth, and H. Bogena. 2010. Multiscale analysis of hydrologic time series data using the Hilbert-Huang transform. Vadose Zone J. 9:925-942 (this issue).
37. Rutten, M.M., S.C. Steele-Dunne, J. Judge, and N. van de Giesen. 2010. Understanding heat transfer in the shallow subsurface using temperature observations. Vadose Zone J. 9:1034-1045 (this issue).
38. Salmun, H., A. Molod, J. Albrecht, and F. Santos. 2009. Scales of variability of surface vegetation: Calculation and implications for climate models. J. Geophys. Res. Biogeosci. 114:13.
39. Schneider, A., T. Baumgartl, D. Doley, and D. Mulligan. 2010. Evaluation of the heterogeneity of constructed landforms for rehabilitation using lysimeters. Vadose Zone J. 9:898-909 (this issue).
40. Schomburg, A., V. Venema, R. Lindau, F. Ament, and C. Simmer. 2010. A downscaling scheme for atmospheric variables to drive soil-vegetationatmosphere transfer models. Tellus 62:242-258, doi:10.1111/j.1600-0889.2010.00466.x.
41. Schwinger, J., S.J. Kollet, C.M. Hoppe, and H. Elbern. 2010. Sensitivity of latent heat fluxes to initial values and parameters of a land-surface model. Vadose Zone J. 9:984-1001 (this issue).
42. Sciuto, G., and B. Diekkrüger. 2010. Influence of soil heterogeneity and spatial discretization on catchment water balance modeling. Vadose Zone J. 9:955-969 (this issue).
43. Seuffert, G., P. Gross, C. Simmer, and E.F. Wood. 2002. The influence of hydrologic modeling on the predicted local weather: Two-way coupling of a mesoscale weather prediction model and a land surface hydrologic model. J. Hydrometeorol. 3:505-523.
44. Seuffert, G., H. Wilker, P. Viterbo, M. Drusch, and J. Mahfouf. 2004. The usage of screen-level parameters and microwave brightness temperature for soil moisture analysis. J. Hydrometeorol. 5:516.
45. Song, Y.Q. 2010. Recent progress of nuclear magnetic resonance applications in sandstones and carbonate rocks. Vadose Zone J. 9:828-834 (this issue).
46. Steenpass, C., J. Vanderborght, M. Herbst, J. Šimůnek, and H. Vereecken. 2010. Estimating soil hydraulic properties from infrared measurements of soil surface temperatures and TDR data. Vadose Zone J. 9:910-924 (this issue).
47. Sulis, M., S.B. Meyerhoff, C. Paniconi, R.M. Maxwell, M. Putti, and S.J. Kollet. 2010. A comparison of two physics-based numerical models for simulating surface water-groundwater interactions. Adv. Water Resour. 33:456-467.
48. Vanderborght, J., A. Graf, C. Steenpass, B. Scharnagl, N. Prolingheuer, M. Herbst, H.J. Hendricks Franssen, and H. Vereecken. 2010. Within-field variability of bare soil evaporation derived from eddy covariance measurements. Vadose Zone J. 9:943-954 (this issue).
49. VanderKwaak, J.E., and K. Loague. 2001. Hydrologic-response simulations for the R-5 catchment with a comprehensive physics-based model. Water Resour. Res. 37:999-1013.
50. Vereecken, H., S. Hubbard, A. Binley, and T. Ferre. 2004. Hydrogeophysics: An introduction from the guest editors. Vadose Zone J. 3:1060-1062.
51. Vereecken, H., J.A. Huisman, H. Bogena, J. Vanderborght, J.A. Vrugt, and J.W. Hopmans. 2008. On the value of soil moisture measurements in vadose zone hydrology: A review. Water Resour. Res. 44:21.
52. Vereecken, H., R. Kasteel, J. Vanderborght, and T. Harter. 2007. Upscaling hydraulic properties and soil water flow processes in heterogeneous soils: A review. Vadose Zone J. 6:1-28.
53. Volkmann, J., and N. Klitzsch. 2010. Frequency-dependent electric proper- ties of microscale rock models for frequencies from one millihertz to ten kilohertz. Vadose Zone J. 9:858-870 (this issue).
54. Warrach-Sagi, K., and V. Wulfmeyer. 2010. Streamflow data assimilation for soil moisture analysis. Geosci. Model Dev. 3:1-12.
55. Western, A.W., and G. Bloeschl. 1999. On the spatial scaling of soil moisture. J. Hydrol. 217:203-224.
56. Western, A.W., G. Blöschlb and R.B. Grayson. 1998. Geostatistical characterisa tion of soil moisture patterns in the Tarrawarra catchment. J. Hydrol. 205:20-37, doi:10.1016/S0022-1694(97)00142-X.
57. Wilker, H., M. Drusch, G. Seuffert, and C. Simmer. 2006. Effects of the nearsurface soil moisture profile on the assimilation of L-band microwave brightness temperatures. J. Hydrometeorol. 7:433-442.
58. Wohlfahrt, G., C. Irschick, B. Thalinger, L. Hörtnagl, N. Obojes, and A. Hammerle. 2010. Insights from independent evapotranspiration estimates for closing the energy balance: A grassland case study. Vadose Zone J. 9:1025-1033 (this issue).
59. Wulfmeyer V., A. Behrendt, H.-S. Bauer, C. Kottmeier, U. Corsmeier, G. Adrian, A. Blyth, G. Craig, U. Schumann, M. Hagen, S. Crewell, P. Di Girolamo, C. Flamant, M. Miller, A. Montani, S. Mobbs, E. Richard, M. Rotach, M. Arpagaus, H. Russchenberg, P. Schluessel, M. König, V. Gärtner, R. Steinacker, M. Dorninger, D.D. Turner, T. Weckwerth, A. Hense, and C. Simmer. 2008. The convective and orographically-induced precipitation study: A research and development project of the world weather research program for improving quantitative precipitation forecasting in low-mountain regions. Bull. Am. Meteorol. Soc. doi:10.1175/2008BAMS2367.1.
60. Yeh, P.J.F., and E.A.B. Eltahir. 2005. Representation of water table dynamics in a land surface scheme. Part I: Model development. J. Clim. 18:1861-1880.
61. York, J.P., M. Person, W.J. Gutowski, and T.C. Winter. 2002. Putting aquifers into atmospheric simulation models: An example from the mill creek watershed, northeastern Kansas. Adv. Water Resour. 25:221-238.
62. Zinn, B., and C.F. Harvey. 2003. When good statistical models of aquifer heterogeneity go bad: A comparison of flow, dispersion, and mass transfer in connected and multivariate Gaussian hydraulic conductivity fields. Water Resour. Res. 39:19.