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References

  • Albertson, J. D., and N. Montaldo (2003), Temporal dynamics of soil moisture variability: 1. Theoretical basis, Water Resour. Res., 39(10), 1274, doi:10.1029/2002WR001616.
  • Bras, R. L., and I. Rodríguez-Iturbe (1976), Network design for the estimation of area mean of rainfall events, Water Resour. Res., 12, 11851195.
  • Caylor, K. K., S. Manfreda, and I. Rodrguez-Iturbe (2005), On the coupled geomorphological and ecohydrological organization of river basins, Adv. Water Resour., 28(1), 6986.
  • Cox, D. R., and V. Isham (1988), A simple spatial-temporal model of rainfall, P. R. Soc. A, 415, 317328.
  • Eagleson, P. S. (1978), Climate, soil and vegetation, 5, A derived distribution of storm surface runoff, Water Resour. Res., 14, 740748.
  • Entekhabi, D., and I. Rodrìguez-lturbe (1994), An analytic framework for the characterization of the space-time variability of soil moisture, Adv. Water Resour., 17, 2545.
  • Entekhabi, D., I. Rodríguez-Iturbe, and F. Castelli (1996), Mutual interaction of soil moisture state and atmospheric processes, J. Hydrol., 184, 317.
  • Entin, J. K., A. Robock, K. Y. Vinnikov, S. E. Hollinger, S. Liu, and A. Namkai (2000), Temporal and spatial scales of observed soil moisture variations in the extratropics, J. Geophys. Res., 105, 11,86511,877.
  • Ghosh, B. (1951), Random distances within a rectangle and between two rectangles, Bull. Calcutta Math. Soc., 43(1), 1724.
  • Isham, V., D. R. Cox, I. Rodríguez-Iturbe, A. Porporato, and S. Manfreda (2005), Mathematical characterization of the space-time variability of soil moisture, P. R. Soc. A, 461(2064), 40354055, doi:10.1098/rspa.2005.1568.
  • Jacobs, J. M., B. P. Mohanty, E. C. Hsu, and D. Miller (2004), SMEX02: Field scale variability, time stability and similarity of soil moisture, Remote Sens. Environ., 92, 436446.
  • Kagan, R. L. (1979), Averaging Meteorological Fields (in Russian), 212 pp., Gidrometeoizdat, St. Petersburg, Russia.
  • Lull, H. W. (1964), Ecological and silvicultural aspects, in Handbook of Applied Hydrology, edited by V. T. Chow, pp. 6-1 to 6-30, McGraw-Hill, New York.
  • Manfreda, S., V. Iacobellis, and M. Fiorentino (2005), DREAM: a distributed model for runoff, evapotranspiration, and antecedent soil moisture simulation, Adv. Geosci., 2, 3139.
  • Meron, E., E. Gilad, J. von Hardenberg, M. Shachak, and Y. Zarmi (2004), Vegetation patterns along a rainfall gradient, Chaos Soliton Fract., 19, 367376.
  • Mitchell, K. E., et al. (2004), The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system, J. Geophys. Res., 109, D07S90, doi:10.1029/2003JD003823.
  • North, G. R., and S. Nakamoto (1989), Formalism for comparing rain estimation designs, J. Atmos. Oceanic Technol., 6(6), 985992.
  • Pan, F., C. D. Peters-Lidard, and M. J. Sale (2003), An analytical method for predicting surface soil moisture from rainfall observations, Water Resour. Res., 39(11), 1314, doi:10.1029/2003WR002142.
  • Porporato, A., P. D'Odorico, L. Ridolfi, and I. Rodríguez-Iturbe (2000), A spatial model for soil-atmosphere interaction: model construction and linear stability analysis, J. Hydrometeorol., 1(1), 6174.
  • Porporato, A., E. Daly, and I. Rodríguez-Iturbe (2004), Soil water balance and ecosystem response to climate change, Am. Nat., 164(5), 625633.
  • Robock, A., et al. (2003), Evaluation of the North American Land Data Assimilation System over the southern Great Plains during the warm season, J. Geophys. Res., 108(D22), 8846, doi:10.1029/2002JD003245.
  • Rodríguez-Iturbe, I. (2000), Ecohydrology: A hydrologic perspective of climate-soil-vegetation dynamics, Water Resour. Res., 36, 39.
  • Rodríguez-Iturbe, I., and J. M. Mejía (1974), The design of rainfall networks in time and space, Water Resour. Res., 10, 713728.
  • Rodríguez-Iturbe, I., and A. Porporato (2004), Ecohydrology of Water-controlled Ecosystems: Soil Moisture and Plant Dynamics, Cambridge Univ. Press, New York.
  • Rodríguez-Iturbe, I., V. Isham, D. R. Cox, S. Manfreda, and A. Porporato (2006), An analytical framework for the space-time variability of soil moisture fields with heterogeneous vegetation, Water Resour. Res., 42, W06D05, doi:10.1029/2005WR004497.
  • Scanlon, T. M., K. K. Caylor, S. Manfreda, S. A. Levin, and I. Rodríguez-Iturbe (2005), Dynamic response of grass cover to rainfall variability: Implications the function and persistence of savanna ecosystems, Adv. Water Resour., 28, 291302.
  • Vinnikov, K. Y., A. Robock, N. A. Speranskaya, and C. A. Schlosser (1996), Scales of temporal and spatial variability of midlatitude soil moisture, J. Geophys. Res., 101, 71637174.
  • Vinnikov, K. Y., A. Robock, S. Qiu, and J. K. Entin (1999), Optimal design of surface networks for observation of soil moisture, J. Geophys. Res., 104, 41454168.
  • Walker, J. P., G. R. Willgoose, and J. D. Kalma (2001), One-dimensional soil moisture profile retrieval by assimilation of near-surface observations: A comparison of retrieval algorithms, Adv. Water Resour., 24, 631650.
  • Western, A. W., R. B. Grayson, and G. Blöschl (2002), Scaling of soil moisture: a hydrologic perspective, Annu. Rev. Earth Planet. Sci., 30, 149180.
  • Yoo, C. (2001), Sampling of soil moisture fields and related errors: implications to the optimal sampling design, Adv. Water Resour., 24(5), 521530.