Data assimilation of satellite soil moisture into rainfall-runoffmodelling: A complex recipe?

Remote Sensing

Volumn 7, Issue 9, 2015, Pages 11403-11433

  Massari, Christian ^a   Brocca, Luca ^a   Tarpanelli, Angelica ^a   Moramarco, Tommaso ^a  

^a CNR Consiglio Nazionale delle Ricerche   (Italy)

Author keywords

Data assimilation; Observation error; Rescaling technique; Satellite soil moisture

Indexed keywords

CATCHMENTS; ERRORS; MOISTURE; RAIN; RUNOFF; SATELLITES; SOIL MOISTURE; SOILS;

ACCURATE QUANTIFICATIONS; DATA ASSIMILATION; DISCHARGE PREDICTIONS; OBSERVATION ERRORS; RESCALING; SATELLITE OBSERVATIONS; SATELLITE SOIL MOISTURE; TEMPORAL VARIABILITY;

SOIL SURVEYS;

EID: 84942543950     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs70911403     Document Type: Article

References (67)

1. Brocca, L.; Melone, F.; Moramarco, T. On the estimation of antecedent wetness conditions in rainfall-runoffmodelling. Hydrol. Process. 2008, 642, 629-642.
2. Tramblay, Y.; Bouaicha, R.; Brocca, L.; Dorigo, W.; Bouvier, C.; Camici, S.; Servat, E. Estimation of antecedent wetness conditions for flood modelling in northern Morocco. Hydrol. Earth Syst. Sci. 2012, 16, 4375-4386.
3. Coustau, M.; Bouvier, C.; Borrell-Estupina, V.; Jourde, H. Flood modelling with a distributed event-based parsimonious rainfall-runoffmodel: Case of the karstic Lez river catchment. Nat. Hazard. Earth Syst. Sci. 2012, 12, 1119-1133.
4. Van Steenbergen, N.; Willems, P. Increasing river flood preparedness by real-time warning based on wetness state conditions. J. Hydrol. 2013, 489, 227-237.
5. Liu, Y.; Gupta, H.V. Uncertainty in hydrologic modeling: Toward an integrated data assimilation framework. Water Resour. Res. 2007, 43, 1-18.
6. Tramblay, Y.; Bouvier, C.; Ayral, P.; Marchandise, A. Impact of rainfall spatial distribution on rainfall-runoffmodelling efficiency and initial soil moisture conditions estimation. Nat. Hazards Earth Syst. Sci. 2011, 11, 157-170.
7. Bardossy, A.; Das, T. Influence of rainfall observation network on model calibration and application. Hydrol. Earth Syst. Sci. Discuss. 2006, 3, 3691-3726.
8. Zehe, E.; Becker, R.; Bardossy, A.; Plate, E. Uncertainty of simulated catchment runoffresponse in the presence of threshold processes: Role of initial soil moisture and precipitation. J. Hydrol. 2005, 315, 183-202.
9. Grayson, R.; Bloschl, G. Spatial Patterns in Catchment Hydrology: Observations and Modelling, 1st ed.; Cambridge University Press: New York, NY, USA, 2001.
10. Gupta, H.V.; Sorooshian, S.; Yapo, P.O. Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information. Water Resour. Res. 1998, 34, 751-763.
11. Bartalis, Z.; Wagner, W.; Naeimi, V.; Hasenauer, S.; Scipal, K.; Bonekamp, H.; Figa, J.; Anderson, C. Initial soil moisture retrievals from the METOP-A Advanced Scatterometer (ASCAT). Geophys. Res. Lett. 2007, 34, L20401.
12. Owe, M.; de Jeu, R.; Holmes, T. Multisensor historical climatology of satellite-derived global land surface moisture. J. Geophys. Res. 2008, 113, F01002.
13. Kerr, Y.H.; Waldteufel, P.; Wigneron, J.-P.; Delwart, S.; Cabot, F.; Boutin, J.; Escorihuela, M.-J.; Font, J.; Reul, N.; Gruhier, C.; et al. The SMOS mission: New tool for monitoring key elements ofthe global water cycle. IEEE Proc. 2010, 98, 666-687.
14. Entekhabi, D.; Njoku, E.G.; O'Neill, P.E.; Kellogg, K.H.; Crow, W.T.; Edelstein, W.N.; Entin, J.K.; Goodman, S.D.; Jackson, T.J.; Johnson, J.; et al. The soil moisture active passive (SMAP) mission. IEEE Proc. 2010, 98, 704-716.
15. Pauwels, V.R.N.; Hoeben, R.; Verhoest, N.E.C.; De Troch, F.P.; Troch, P.A. Improvement of TOPLATS-based discharge predictions through assimilation of ERS-based remotely sensed soil moisture values. Hydrol. Process. 2002, 16, 995-1013.
16. Reichle, R.; McLaughlin, D.B.; Entekhabi, D. Hydrologic data assimilation with the ensemble Kalman filter. Mon. Weather Rev. 2002, 130, 103-114.
17. Brocca, L.; Moramarco, T. Assimilation of surface-and root-zone ASCAT soil moisture products into rainfall-runoffmodeling. IEEE Trans. Geosci. Remote Sens. 2012, 50, 2542-2555.
18. Draper, C.; Mahfouf, J.F.; Calvet, J.C.; Martin, E.; Wagner, W. Assimilation of ASCAT near-surface soil moisture into the SIM hydrological model over France. Hydrol. Earth Syst. Sci. 2011, 15, 3829-3841.
19. Matgen, P.; Fenicia, F.; Heitz, S.; Plaza, D.; de Keyser, R.; Pauwels, V.R.N.; Wagner, W.; 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. Adv. Water Resour. 2012, 44, 49-65.
20. Chen, F.; Crow, W.T.; Starks, P.J.; Moriasi, D.N. Improving hydrologic predictions of a catchment model via assimilation of surface soil moisture. Adv. Water Resour. 2011, 34, 526-536.
21. Chen, F.; Crow, W.T.; Ryu, D. Dual forcing and state correction via soil moisture assimilation for improved rainfall-runoffmodeling. J. Hydrometeorol. 2014, 15, 1832-1848.
22. Alvarez-Garreton, C.; Ryu, D.; Western, A.W.; Su, C.-H.; Crow, W.T.; Robertson, D.E.; Leahy, C. Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: Comparison between lumped and semi-distributed schemes. Hydrol. Earth Syst. Sci. 2015, 19, 1659-1676.
23. Zhou, Y.; McLaughlin, D.; Entekhabi, D. Assessing the performance of the ensemble kalman filter for land surface data assimilation. Mon. Weather Rev. 2006, 134, 2128-2142.
24. Evensen, G. The ensemble Kalman filter for combined state and parameter estimation. IEEE Control Syst. 2009, 83-104.
25. Wagner, W.; Lemoine, G.; Rott, H. A method for estimating soil moisture from ERS scatterometer and soil data. Remote Sens. Environ. 1999, 70, 191-207.
26. Crow, W.T.; Van Loon, E. Impact of incorrect model error assumptions on the sequential assimilation of remotely sensed surface soil moisture. J. Hydrometeorol. 2006, 7, 421-432.
27. Alvarez-Garreton, C.; Ryu, D.; Western, A.W.; Crow, W.; Robertson, D.; States, U. Impact of observation error structure on satellite soil moisture assimilation into a rainfall-runoffmodel. In Proceedings of the 20th International Congress on Modelling and Simulation, Adelaide, Australia, 1-6 December 2013; pp. 1-6.
28. Crow, W.T.; Van Den Berg, M.J. An improved approach for estimating observation and model error parameters in soil moisture data assimilation. Water Resour. Res. 2010, 46, 1-12.
29. De Lannoy, G.J.M.; Houser, P.R.; Pauwels, V.R.N.; Verhoest, N.E.C. Assessment of model uncertainty for soil moisture through ensemble verification. J. Geophys. Res. 2006, 111, D10101.
30. Dorigo, W.A.; Scipal, K.; Parinussa, R.M.; Liu, Y.Y.; Wagner, W.; de Jeu, R.A.M.; Naeimi, V. Error characterisation of global active and passive microwave soil moisture datasets. Hydrol. Earth Syst. Sci. 2010, 14, 2605-2616.
31. Brocca, L.; Hasenauer, S.; Lacava, T.; Melone, F.; Moramarco, T.; Wagner, W.; Dorigo, W.; Matgen, P.; Martínez-Fernández, J.; Llorens, P.; et al. Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe. Remote Sens. Environ. 2011, 115, 3390-3408.
32. Su, C.-H.; Ryu, D.; Western, A.W.; Wagner, W. De-noising of passive and active microwave satellite soil moisture time series. Geophys. Res. Lett. 2013, 40, 3624-3630.
33. Reichle, R.H.; Koster, R.D. Assessing the impact of horizontal error correlations in background fields on soil moisture estimation. J. Hydrometeorol. 2003, 4, 1229-1242.
34. Lievens, H.; Tomer, S.K.; Al Bitar, A.; De Lannoy, G.J.M.; Drusch, M.; Dumedah, G.; Hendricks Franssen, H.-J.; Kerr, Y.H.; Martens, B.; Pan, M.; et al. SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia. Remote Sens. Environ. 2015, 168, 146-162.
35. Koster, R.D.; Guo, Z.; Yang, R.; Dirmeyer, P.A.; Mitchell, K.; Puma, M.J. On the nature of soil moisture in land surface models. J. Clim. 2009, 22, 4322-4335.
36. Reichle, R.H.; Koster, R.D. Bias reduction in short records of satellite soil moisture. Geophys. Res. Lett. 2004, 31, L19501.
37. Alvarez-Garreton, C.; Ryu, D.; Western, A.W.; Crow, W.T.; Robertson, D.E. The impacts of assimilating satellite soil moisture into a rainfall-runoffmodel in a semi-arid catchment. J. Hydrol. 2014, 519, 2763-2774.
38. Yilmaz, M.T.; Crow, W.T. The optimality of potential rescaling approaches in land data assimilation. J. Hydrometeorol. 2013, 14, 650-660.
39. Su, C.; Ryu, D.; Crow, W.T.; Western, A.W. Beyond triple collocation: Applications to soil moisture monitoring. J. Geophys. Res. Atmos. 2014, 119, 6419-6439.
40. Brocca, L.; Moramarco, T.; Dorigo, W.; Wagner, W. Assimilation of satellite soil moisture data into rainfall-runoffmodelling for several catchments worldwide. In Proceedings of 2013 IEEE Geoscience and Remote Sensing Symposium, Melbourne, Australia, 21-26 July 2013; pp. 2281-2284.
41. Djuric, P.; Kotecha, J.; Zhang, J.; Huang, Y.; Ghirmai, T.; Bugallo, M.F.; Miguez, J. Particle filtering. Signal Process. Mag. 2003, 20, 19-38.
42. Matgen, P.; Heitz, S.; Hasenauer, S.; Hissler, C.; Brocca, L.; Hoffmann, L.; Wagner, W.; 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. 2012, 26, 2346-2359.
43. Corato, G.; Matgen, P.; Fenicia, F.; Schlaffer, S.; Chini, M. Assimilating satellite-derived soil moisture products into a distributed hydrological model. In Proceedings of 2014 IEEE Geoscience and Remote Sensing Symposium, Quebec, QC, Canada, 14 July 2014; pp. 3315-3318.
44. Moradkhani, H.; Hsu, K.-L.; Gupta, H.; Sorooshian, S. Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter. Water Resour. Res. 2005, 41, W05012.
45. H-SAF. Available online: http://hsaf.meteoam.it (accessed on 7 September 2015).
46. Vachaud, G.; Passerat De Silans, A.; Balabanis, P.; Vauclin, M. Temporal stability of spatially measured soil water probability density function. Soil Sci. Soc. American J. 1985, 49, 822-828.
47. Brocca, L.; Melone, F.; Moramarco, T.; Wagner, W.; Hasenauer, S. ASCAT soil wetness index validation through in situ and modeled soil moisture data in central Italy. Remote Sens. Environ. 2010, 114, 2745-2755.
48. Melone, F.; Neri, N.; Morbidelli, R.; Saltalippi, C. A conceptual model for flood prediction in basins of moderate size. In Applied Simulation and Modeling; Hamza, M.H., Ed.; IASTED Acta Press: Anaheim, CA, USA, 2001; pp. 461-466.
49. USDA, SCS. National Engineering Handbook: Hydrology, Section 4; US Department of Agricolture, Soil Conservation Service; Washington, DC, United States, 1985; Chapters 4-10.
50. Pruitt, W.O.; Doorenbos, J. Background and development of methods to predict reference crop evapotranspiration (ETo). Guidel. Predict. Crop Water Requir. 1977, 24, 108-119.
51. Brocca, L.; Melone, F.; Moramarco, T.; Morbidelli, R. Antecedent wetness conditions based on ERS scatterometer data. J. Hydrol. 2009, 364, 73-87.
52. Melone, F.; Corradini, C.; Singh, V.P. Lag prediction in ungauged basins: An investigation through actual data of the upper Tiber River valley. Hydrol. Process. 2002, 16, 1085-1094.
53. Burgers, G.; Jan van Leeuwen, P.; Evensen, G. Analysis scheme in the ensemble kalman filter. Mon. Weather Rev. 1998, 126, 1719-1724.
54. Albergel, C.; Rüdiger, C.; Pellarin, T.; Calvet, J.-C.; Fritz, N.; Froissard, F.; Suquia, D.; Petitpa, A.; Piguet, B.; 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. 2008, 5, 1603-1640.
55. Dee, D.P.; Da Silva, A.M. Data assimilation in the presence of forecast bias. Q. J. R. Meteorol. Soc. 1998, 124, 269-295.
56. Reichle, R.H.; Crow, W.T.; Keppenne, C.L. An adaptive ensemble Kalman filter for soil moisture data assimilation. Water Resour. Res. 2008, 44, W03423.
57. Drusch, M. Observation operators for the direct assimilation of TRMM microwave imager retrieved soil moisture. Geophys. Res. Lett. 2005, 32, L15403.
58. Su, C.-H.; Ryu, D. Multi-scale analysis of bias correction of soil moisture. Hydrol. Earth Syst. Sci. 2015, 19, 17-31.
59. Tian, Y.; Huffman, G.J.; Adler, R.F.; Tang, L.; Sapiano, M.; Maggioni, V.; Wu, H. Modeling errors in daily precipitation measurements: Additive or multiplicative? Geophys. Res. Lett. 2013, 40, 2060-2065.
60. Turner, M.; Walker, J.; Oke, P. Ensemble member generation for sequential data assimilation. Remote Sens. Environ. 2008, 112, 1421-1433.
61. Nash, J.; Sutcliffe, J. River flow forecasting through conceptual models part I-A discussion of principles. J. Hydrol. 1970, 10, 282-290.
62. Hoffmann, L.; El Idrissi, A.; Pfister, L.; Hingray, B.; Guex, F.; Musy, A.; Humbert, J.; Drogue, G.; Leviandier, T. Development of regionalized hydrological models in an area with short hydrological observation series. River Res. Appl. 2004, 20, 243-254.
63. Moramarco, T.; Singh, V.P.; Alta, V.M.; Rouge, B. Simple method for relating local stage and remote discharge. J. Hydrol. Eng. 2001, 6, 78-81.
64. Brocca, L.; Melone, F.; Moramarco, T.; Wagner, W.; Naeimi, V.; Bartalis, Z.; Hasenauer, S. Improving runoffprediction through the assimilation of the ASCAT soil moisture product. Hydrol. Earth Syst. Sci. 2010, 14, 1881-1893.
65. Albergel, C.; de Rosnay, P.; Gruhier, C.; Munoz-Sabater, J.; Hasenauer, S.; Isaksen, L.; Kerr, Y.; Wagner, W. Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations. Remote Sens. Environ. 2012, 118, 215-226.
66. Massari, C.; Brocca, L.; Barbetta, S.; Papathanasiou, C.; Mimikou, M.; Moramarco, T. Using globally available soil moisture indicators for flood modelling in Mediterranean catchments. Hydrol. Earth Syst. Sci. 2014, 18, 839-853.
67. Zwieback, S.; Dorigo, W.; Wagner, W. Temporal error variability of coarse scale soil moisture products-case study in central Spain. In Proceedings of the 2012 IEEE International: Geoscience and Remote Sensing Symposium, Munich, Bavaria, Germany, 22-27 July 2012; pp. 722-725.