A physically based approach for the estimation of root-zone soil moisture from surface measurements

Hydrology and Earth System Sciences

Volumn 18, Issue 3, 2014, Pages 1199-1212

  Manfreda, S ^a   Brocca, L ^b   Moramarco, T ^b   Melone, F ^b   Sheffield, J ^c  

^a UNIVERSITY OF BASILICATA   (Italy)

^b CNR Consiglio Nazionale delle Ricerche   (Italy)

^c Princeton University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SURFACE MEASUREMENT;

MULTI-DISCIPLINARY ANALYSIS; PHYSICAL CHARACTERISTICS; PHYSICAL INTERPRETATION; SATELLITE REMOTE SENSING; SEMI-ARID ENVIRONMENTS; SOIL MOISTURE DYNAMICS; SOIL MOISTURE MEASUREMENT; SURFACE SOIL MOISTURE;

SOIL MOISTURE;

REMOTE SENSING; RHIZOSPHERE; SATELLITE DATA; SEMIARID REGION; SOIL MOISTURE; WATER BUDGET;

BENIN [WEST AFRICA]; MALI; NEW MEXICO; NIGER [WEST AFRICA]; UNITED STATES;

EID: 84897449609     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-18-1199-2014     Document Type: Article

References (48)

1. Albergel, C., Rüdiger, C., Pellarin, T., Calvet, J.-C., Fritz, N., Froissard, F., Suquia, D., Petitpa, A., Piguet, B., and Martin, E.: From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations, Hydrol. Earth Syst. Sci., 12, 1323-1337, doi:10.5194/hess-12-1323-2008, 2008.
2. Albergel, C., Dorigo, W., Balsamo, G., Muñoz-Sabater, J., de Rosnay, P., Isaksen, L., Brocca, L., de Jeu, R., andWagner,W.: Monitoring multi-decadal satellite earth observation of soil moisture products through land surface reanalyses, Remote Sens. Environ., 138, 77-89, doi:10.1016/j.rse.2013. 07.009, 2013.
3. AMMA: AMMA-CATCH, 2014: Hydrological and meteorological observatory on West Africa, available at: http://www. amma-catch.org, last access: December 2013, 2014.
4. AMMA Database: AMMA Data User Interface, available at: http: //database.amma-international.org/, last access: December 2013, 2014.
5. Brocca, L., Melone, F., Moramarco, T., Wagner, W., Naeimi, V., Bartalis, Z., and Hasenauer, S.: Improving runoff prediction through the assimilation of the ASCAT soil moisture product, Hydrol. Earth Syst. Sci., 14, 1881-1893, doi:10.5194/hess-14- 1881-2010, 2010.
6. Brocca, L., Moramarco, T., Melone, F., Wagner, W., Hasenauer, S., and Hahn, S.: Assimilation of surface and root-zone ASCAT soil moisture products into rainfall-runoff modelling, IEEE T. Geosci. Remote, 50, 2542-2555, 2012.
7. Brooks, R. H. and Corey A. T.: Hydraulic properties of porous media, Hydrol. Pap. 3, Colorado State Univ., Fort Collins, USA, 1964.
8. Ceballos, A., Scipal, K., Wagner, W., and Mart?nez-Fernandez, J.: Validation of ERS Scatterometer-Derived Soil Moisture Data in the Central Part of the Duero Basin, Spain, Hydrol. Process., 19, 1549-1566, 2005. (Pubitemid 40815533)
9. Crow, W. T., Kustas, W. P., and Prueger, J. H.: Monitoring rootzone soil moisture through the assimilation of a thermal remote sensing-based soil moisture proxy into a water balance model, Remote Sens. Environ., 112, 1268-1281, 2008. (Pubitemid 351375227)
10. De Lange, R., Beck, R., Van De Giesen, N., Friesen, J., De Wit, A., and Wagner, W.: Scatterometer-derived soil moisture calibrated for soil texture with a onedimensional water-flow model, IEEE Trans. Geosci. Remote Sens., 46, 4041-4049, doi:10.1109/TGRS.2008.2000796, 2008.
11. de Rosnay, P., Gruhier, C., Timouk, F., Baup, F., Mougin, E., Hiernaux, P., Kergoat, L., and LeDantec, V.: Multi-scale soil moisture measurements at the Gourma meso-scale site in Mali, J. Hydrol., 375, 241-252, 2009.
12. Dorigo, W. A., Wagner, W., Hohensinn, R., Hahn, S., Paulik, C., Xaver, A., Gruber, A., Drusch, M., Mecklenburg, S., van Oevelen, P., Robock, A., and Jackson, T.: The International Soil Moisture Network: a data hosting facility for global in situ soil moisture measurements, Hydrol. Earth Syst. Sci., 15, 1675-1698, doi:10.5194/hess-15-1675-2011, 2011.
13. Escorihuela, M., Chanzy, A., Wigneron, J., and Kerr, Y.: Effective soil moisture sampling depth of L-band radiometry: a case study, Remote Sens. Environ., 114, 995-1001, 2010.
14. Gao, H., Wood, E. F., Jackson, T. J., Drusch, M., and Bindlish, R.: Using TRMM/TMI to Retrieve Surface Soil Moisture over the Southern United States from 1998 to 2002, J. Hydrometeorol., 7, 23-38, 2006.
15. Green,W. H. and Ampt, G.: Studies of soil physics, part I - the flow of air and water through soils, J. Agr. Sci., 4, 1-24, 1911.
16. ISMN (International Soil Moisture Network): The ISMN Data Portal, available at: http://ismn.geo.tuwien.ac.at, last access: December 2013, 2014.
17. Laio, F.: A vertically extended stochastic model of soil moisture in the root zone, Water Resour. Res., 42, W02406, doi:10.1029/2005WR004502, 2006.
18. Li, F., Crow, W. T., and Kustas, W. P.: Towards the estimation of root-zone soil moisture via the simultaneous assimilation of thermal and microwave soil moisture retrievals, Adv. Water Resour., 33, 201-214, 2010.
19. Liang, X., Lettenmaier, D. P.,Wood, E. F., and Burges, S. J.: A simple hydrologically based model of land surface water and energy fluxes for GCMs, J. Geophys. Res., 99, 14415-14428, 1994.
20. Liang, X., Lettenmaier, D. P., and Wood, E. F.: One-dimensional statistical dynamic representation of subgrid spatial variability of precipitation in the two-layer variable infiltration capacity model, J. Geophys. Res., 101, 21403-21422, 1996.
21. Manfreda, S. and Fiorentino, M.: A stochastic approach for the description of the water balance dynamics in a river basin, Hydrol. Earth Syst. Sci., 12, 1189-1200, doi:10.5194/hess-12-1189- 2008, 2008.
22. Manfreda, S., McCabe, M., Wood, E. F., Fiorentino, M., and Rodriguez-Iturbe, I.: Spatial Patterns of Soil Moisture from Distributed Modeling, Adv. Water Resour., 30, 2145-2150, 2007. (Pubitemid 47194394)
23. Manfreda, S., Lacava, T., Onorati, B., Pergola, N., Di Leo, M., Margiotta, M. R., and Tramutoli, V.: On the use of AMSU-based products for the description of soil water content at basin scale, Hydrol. Earth Syst. Sci., 15, 2839-2852, doi:10.5194/hess-15- 2839-2011, 2011.
24. Matgen, P., Heitz, S., Hasenauer, S., Hissler, C., Brocca, L., Hoffmann, L., Wagner, W., and Savenije, H. H. G.: On the potential of METOP ASCAT-derived soil wetness indices as a new aperture for hydrological monitoring and prediction: a field evaluation over Luxembourg, Hydrol. Process., 26, 2346-2359, 2012a.
25. Matgen, P., Fenicia, F., Heitz, S., Plaza, D., de Keyser, R., Pauwels, V. R. N., Wagner, W., and Savenije, H.: Can ASCAT-derived soil wetness indices reduce predictive uncertainty in well-gauged areas? A comparison with in situ observed soil moisture in an assimilation application, Advances in Water Resources, 44, 49-65, doi:10.1016/j.advwatres.2012.03.022, 2012b.
26. Moran, M. S., Peters-Lidard, C. D., Watts, J. M., and McElroy, S.: Estimating soil moisture at the watershed scale with satellitebased radar and land surface models, Can. J. Remote Sens., 30, 805-826, 2004. (Pubitemid 40050096)
27. Nied, M., Hundecha, Y., and Merz, B.: Flood-initiating catchment conditions: a spatio-temporal analysis of large-scale soil moisture patterns in the Elbe River basin, Hydrol. Earth Syst. Sci., 17, 1401-1414, doi:10.5194/hess-17-1401-2013, 2013.
28. Ochsner, T., Cosh, M., Cuenca, R., Dorigo, W., Draper, C., Hagimoto, Y., Kerr, Y., Larson, K. M., Njoku, E. G., Small, E. E., and Zreda, M.: The state of the art in large-scale soil moisture monitoring, Soil Sci. Soc. Am. J., 77, 1888- 1919,doi:10.2136/sssaj2013.03.0093, 2013.
29. Pan, F., Peters-Lidard, C. D., and Sale, M. J.: An analytical method for predicting surface soil moisture from rainfall observations, Water Resour. Res., 39, 1314, doi:10.1029/2003WR002142, 2003.
30. Pellarin, T., Laurent, J. P., Cappelaere, B., Decharme B., Descroix, L., and Ramier, D.: Hydrological modelling and associated microwave emission of a semi-arid region in South-western Niger, J. Hydrol., 375, 262-272, 2009a.
31. Pellarin, T., Tran, T., Cohard, J.-M., Galle, S., Laurent, J.-P., de Rosnay, P., and Vischel, T.: Soil moisture mapping over West Africa with a 30-min temporal resolution using AMSR-E observations and a satellite-based rainfall product, Hydrol. Earth Syst. Sci., 13, 1887-1896, doi:10.5194/hess-13- 1887-2009, 2009b.
32. Porporato, A., Daly, E., and Rodriguez-Iturbe, I.: Soil water balance and ecosystem response to climate change, Am. Nat., 164, 625-632, 2004. (Pubitemid 39509012)
33. Puma, M. J., Celia, M. A., Rodriguez-Iturbe, I., and Guswa, A. J.: Functional relationship to describe temporal statistics of soil moisture averaged over different depths, Adv.Water Resour., 28, 553-566, 2005. (Pubitemid 40549383)
34. Ragab, R.: Towards a continuous operational system to estimate the root zone soil moisture from intermittent remotely sensed surface moisture, J. Hydrol., 173, 1-25, 1995. (Pubitemid 3003416)
35. Rawls, W. J. and Brakensiek D. L.: Estimation of soil water retention and hydraulic properties, in: Unsaturated Flow in Hydrologic Modeling, Kluwer Acad., Dordrecht, Netherlands, 275-300, 1989.
36. Rawls,W. J., Ahuja, L. R., Brakensiak, D. L., and Shirmohammadi, A.: Infiltration and soil water movement, in: Handbook of Hydrology, edited by: Maidment, D. R., 5.1-5.51, 1993.
37. Redelsperger, J.-L., Thorncroft, C. D., Diedhiou, A., Lebel, T., Parker, D., and Polcher, J.: African Monsoon Multidisciplinary Analysis: An International Research Project and Field Campaign, B. Am. Meteorol. Soc., 87, 1739-1746, 2006. (Pubitemid 46152000)
38. Reichle, R., McLaughlin, D., and Entekhabi, D.: Hydrologic data assimilation with the ensemble kalman filter, Mon.Weather Rev., 130, 103-114, 2002. (Pubitemid 34838242)
39. Reichle, R., Koster, R., Dong, J., and Berg, A.: Global soil moisture from satellite observations, land surface models, and ground data: implications for data assimilation, J. Hydrometeorol., 5, 430-442, 2004. (Pubitemid 38978525)
40. Rodriguez-Iturbe, I., Isham, V., Cox, D. R., Manfreda, S., and Porporato, A.: Space-time modeling of soil moisture: stochastic rainfall forcing with heterogeneous vegetation, Water Resour. Res., 42, W06D05, doi:10.1029/ 2005WR004497, 2006. (Pubitemid 44156586)
41. Sabater, J. M., Jarlan, L., Calvet, J. C., Bouyssel, F., and De Rosnay, P.: From Near-Surface to Root-Zone Soil Moisture Using Different Assimilation Techniques, J. Hydrometeorol., 8, 194-206, 2007. (Pubitemid 46739314)
42. Schaefer, G. L., Cosh, M. H., and Jackson, T. J.: The USDA Natural Resources Conservation Service Soil Climate Analysis Network (SCAN), J. Atmos. Ocean. Tech., 24, 2073-2077, 2007. (Pubitemid 351149527)
43. Scipal, K., Drusch, M., andWagner,W.: Assimilation of a ERS scatterometer derived soil moisture index in the ECMWF numerical weather prediction system, Adv. Water Resour., 31, 1101-1112, 2008.
44. Seneviratne, S. I., Corti, T., Davin, E. L., Hirschi, M., Jaeger, E. B., Lehner, I., Orlowsky, B., and Teuling, A. J.: Investigating soil moisture-climate interactions in a changing climate: A review, Earth-Sci. Rev., 99, 125-161, 2010.
45. Wagner, W., Lemoine, G., and Rott, H.: A method for estimating soil moisture from ERS scatterometer and soil data, Remote Sens. Environ., 70, 191-207, 1999.
46. Walker, J. P. and Houser, P. R.: Requirements of a global nearsurface soil moisture satellite mission: accuracy, repeat time, and spatial resolution, Adv. Water Resour., 27, 785-801, 2004. (Pubitemid 39122660)
47. Wood, E. F., Lettenmaier, D. P., Liang, X., Nijssen, B., and Wetzel, S. W.: Hydrological modeling of continental-scale basins, Annu. Rev. Earth Pl. Sc., 25, 279-300, 1997.
48. Ye, M., Meyer, P. D., and Neuman S. P.: On model selection criteria in multimodel analysis, Water Resour. Res., 44, W03428, doi:10.1029/2008WR006803, 2008. (Pubitemid 351649218)