The effect of satellite-derived surface soil moisture and leaf area index land data assimilation on streamflow simulations over France

Hydrology and Earth System Sciences

Volumn 21, Issue 4, 2017, Pages 2015-2033

  Fairbairn, David ^a   Lavinia Barbu, Alina ^a   Napoly, Adrien ^a   Albergel, Clément ^a   Mahfouf, Jean François ^a   Calvet, Jean Christophe ^a  

^a CENTRE NATIONAL DE RECHERCHES MÉTÉOROLOGIQUES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AQUIFERS; ATMOSPHERIC RADIATION; EFFICIENCY; HYDROGEOLOGY; MOISTURE; RIVERS; RUNOFF; SOIL MOISTURE; SOILS; SURFACE MEASUREMENT; VEGETATION;

ANTHROPOGENIC INFLUENCE; ATMOSPHERIC REANALYSIS; LAND DATA ASSIMILATION; LAND SURFACE MODELING; OBSERVATION OPERATOR; PHYSIOLOGICAL PROCESS; STREAMFLOW SIMULATIONS; SURFACE SOIL MOISTURE;

RANDOM ERRORS;

ATMOSPHERIC FORCING; CORRECTION; DATA ASSIMILATION; DRAINAGE; EVAPOTRANSPIRATION; HYDROGEOLOGY; HYDROLOGICAL MODELING; LAND SURFACE; LEAF AREA INDEX; RIVER DISCHARGE; RUNOFF; SATELLITE DATA; SIMULATION; SOIL MOISTURE; STREAMFLOW;

FRANCE;

EID: 85017609935     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-21-2015-2017     Document Type: Article

References (80)

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., Calvet, J.-C., de Rosnay, P., Balsamo, G., Wagner, W., Hasenauer, S., Naeimi, V., Martin, E., Bazile, E., Bouyssel, F., and Mahfouf, J.-F.: Cross-evaluation of modelled and remotely sensed surface soil moisture with in situ data in southwestern France, Hydrol. Earth Syst. Sci., 14, 2177-2191, doi:10.5194/hess-14-2177-2010, 2010.
3. Albergel, C., de Rosnay, P., Balsamo, G., Isaksen, L., and noz Sabater, J. M.: Soil Moisture Analyses at ECMWF: Evaluation Using Global Ground-Based In Situ Observations, J. Hydrometeorol., 13, 1442-1460, doi:10.1175/JHM-D-11-0107.1, 2012.
4. Aubert, D., Loumagne, C., and Oudin, L.: Sequential Assimilation of Soil Moisture and Streamflow Data in a Conceptual Rainfall- Runoff Model, J. Hydrol., 280, 145-161, 2003.
5. Barbu, A. L., Calvet, J.-C., Mahfouf, J.-F., Albergel, C., and Lafont, S.: Assimilation of Soil Wetness Index and Leaf Area Index into the ISBA-A-gs land surface model: grassland case study, Biogeosciences, 8, 1971-1986, doi:10.5194/bg-8-1971-2011, 2011.
6. Barbu, A. L., Calvet, J.-C., Mahfouf, J.-F., and Lafont, S.: Integrating ASCAT surface soil moisture and GEOV1 leaf area index into the SURFEX modelling platform: a land data assimilation application over France, Hydrol. Earth Syst. Sci., 18, 173-192, doi:10.5194/hess-18-173-2014, 2014.
7. Baret, F., Weiss, M., Lacaze, R., Camacho, F., Makhmared, H., Pacholczyk, P., and Smetse, B.: GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part 1: Principles of development and production, Remote Sens. Environ., 137, 299-309, 2013.
8. Bartalis, Z., Wagner, W., Naeimi, V., Hasenauer, S., Scipal, K., Bonekamp, H., Figa, J., and Anderson, C.: Initial soil moisture retrievals from the METOP-A Advanced Scatterometer (ASCAT), Geophys. Res. Lett., 34, L20401, doi:10.1029/2007GL031088, 2007.
9. Boone, A., Calvet, J.-C., and Noilhan, J.: Inclusion of a Third Soil Layer in a Land Surface Scheme Using the Force-Restore Method, J. Appl. Meteor., 38, 1611-1630, 1999.
10. Boone, A., Samuelsson, P., Gollvik, S., Napoly, A., Jarlan, L., Brun, E., and Decharme, B.: The interactions between soilbiosphere- atmosphere land surface model with a multi-energy balance (ISBA-MEB) option in SURFEXv8 - Part 1: Model description, Geosci. Model Dev., 10, 843-872, doi:10.5194/gmd- 10-843-2017, 2017.
11. Brut, A., Rüdiger, C., Lafont, S., Roujean, J.-L., Calvet, J.-C., Jarlan, L., Gibelin, A.-L., Albergel, C., Le Moigne, P., Soussana, J.-F., Klumpp, K., Guyon, D., Wigneron, J.-P., and Ceschia, E.: Modelling LAI at a regional scale with ISBA-A-gs: comparison with satellite-derived LAI over southwestern France, Biogeosciences, 6, 1389-1404, doi:10.5194/bg-6-1389-2009, 2009.
12. Calvet, J.-C. and Noilhan, J.: From Near-Surface to Root-Zone Soil Moisture Using Year-Round Data, J. Hydrometeorol., 1, 393-411, 2000.
13. Calvet, J.-C., Noilhan, J., Roujean, J.-L., Bessemoulin, P., Cabelguenne, M., Olioso, A., and Wigneron, J.-P.: An interactive vegetation SVAT model tested against date from six contrasting sites, Agr. Forest Meteorol., 126, 73-95, 1998.
14. Candy, B., Bovis, K., Dharssi, I., and Macpherson, B.: Development of an Extended Kalman Filter for the Land Surface, Technical report, Met Office, Exeter, UK, 2012.
15. Carrera, M., Bélair, S., and Bilodeau, B.: The Canadian Land Data Assimilation System (CaLDAS): Description and Synthetic Evaluation Study, J. Hydrometeorol., 16, 1293-1294, doi:10.1175/JHM-D-14-0089.1, 2015.
16. Clark, M., Rupp, D., Woods, R., Zheng, X., Ibbitt, R., Slater, A., Schmidt, J., and Uddstrom, M.: Hydrological data assimilation with the ensemble Kalman filter: Use of streamflow observations to update states in a distributed hydrological model, Adv. Water Resour., 31, 1309-1324, 2008.
17. Copernicus: LAI GEOV1 and SWI-001 version 2, available at: http: //land.copernicus.eu/global/ (last access: April 2017), 2015.
18. Courtier, P., Freydier, C., Geleyn, J.-F., Rabier, F., and Rochas, M.: The ARPEGE model development at Meteo-France, in: Proc. ECMWF Seminar on Numerical Methods in Atmospheric Models, vol. 2, pp. 193-232, ECMWF, Shinfield Park, Reading, 2001.
19. Crow, W. and Wood, E.: The assimilation of remotely sensed soil brightness temperature imagery into a land surface model using Ensemble Kalman filtering, Adv. Water Resour., 26, 137-149, 2003.
20. Deardorff, J.: A paramaterization of ground surface moisture for use in atmospheric prediction models, J. Appl. Meteorol., 16, 1182-1185, 1977.
21. Decharme, B., Boone, A., Delire, C., and Noilhan, J.: Local evaluation of the Interaction between Soil Biosphere Atmosphere soil multilayer diffusion scheme using four pedotransfer functions, J. Geophys. Res., 116, D20126, doi:10.1029/2011JD016002, 2011.
22. Decharme, B., Martin, E., and Faroux, S.: Reconciling soil thermal and hydrological lower boundary conditions in land surface models, J. Geophys. Res.-Atmos., 118, 7819-7834, doi:10.1002/jgrd.50631, 2013.
23. Dee, D.: Bias and data assimilation, Q. J. Roy. Meteor. Soc., 131, 3323-3343, doi:10.1256/qj.05.137, 2005.
24. de Jeu, R. A. M., Wagner, W., Holmes, T. R. H., Dolman, A., de Giesen, N. C., and Friesen, J.: Global soil moisture patterns observed by space borne microwave radiometers and scatterometers, Surv. Geophys., 29, 399-420, 2008.
25. de Rosnay, P., Drusch, M., Vasiljevic, D., Balsamo, G., Albergel, C., and Isaksen, L.: A simplified Extended Kalman Filter for the global operational soil moisture analysis at ECMWF, Q. J. Roy. Meteor. Soc., 139, 1199-1213, doi:10.1002/qj.2023, 2013.
26. Draper, C., Mahfouf, J.-F., and Walker, J.: An EKF assimilation of AMSR-E soil moisture into the ISBA surface scheme, J. Geophys. Res., 114, D20104, doi:10.1029/2008JD011650, 2009.
27. Draper, C., Mahfouf, J.-F., Calvet, J.-C., Martin, E., and Wagner, W.: Assimilation of ASCAT near-surface soil moisture into the SIM hydrological model over France, Hydrol. Earth Syst. Sci., 15, 3829-3841, doi:10.5194/hess-15-3829-2011, 2011.
28. Draper, C., Reichle, R., Lannoy, G. D., and Liu, Q.: Assimilation of passive and active microwave soil moisture retrievals, Geophys. Res. Lett., 39, L04401, doi:10.1029/2011GL050655, 2012.
29. Draper, C., Reichle, R., de Jeu, R., Naeimi, V., Parinussa, R., and Wagner, W.: Estimating root mean square errors in remotely sensed soil moisture over continental scale domains, Remote Sens. Environ., 137, 288-298, doi:10.1016/j.rse.2013.06.013, 2013.
30. Drusch, M., Wood, M., and Gao, H.: Observation operators for the direct assimilation of TRMM Microwave Imager retrieved soil moisture, Geophys. Res. Lett, 32, L15403, doi:10.1029/2005GL023623, 2005.
31. Durand, Y., Brun, E., Mérindol, L., Gilbert, G., Bernard, L., and Martin, E.: A meteorological estimation of relevant parameters for snow models, Ann. Glaciol., 18, 65-71, 1993.
32. ECMWF: Annual Report 2015, ECMWF website, http://www.ecmwf.int/sites/default/files/elibrary/2016/16478-annual-report-2015.pdf, last access: July 2016.
33. 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., Kimball, J., Piepmeier, J. R., Koster, R. D., Martin, N., McDonald, K. C., Moghaddam, M., Moran, S., Reichle, R., Shi, J. C., Spencer, M. W., Thurman, S. W., Tsang, L., and Van Zyl, J.: The Soil Moisture Active Passive (SMAP) Mission, Proc. IEEE, 98, 704-716, 2010.
34. Fairbairn, D., Barbu, A. L., Mahfouf, J.-F., Calvet, J.-C., and Gelati, E.: Comparing the ensemble and extended Kalman filters for in situ soil moisture assimilation with contrasting conditions, Hydrol. Earth Syst. Sci., 19, 4811-4830, doi:10.5194/hess-19-4811- 2015, 2015.
35. Faroux, S., Kaptué Tchuenté, A. T., Roujean, J.-L., Masson, V., Martin, E., and Le Moigne, P.: ECOCLIMAP-II/Europe: a twofold database of ecosystems and surface parameters at 1 km resolution based on satellite information for use in land surface, meteorological and climate models, Geosci. Model Dev., 6, 563-582, doi:10.5194/gmd-6-563-2013, 2013.
36. Gibelin, A.-L., Calvet, J.-C., Roujean, J.-L., Jarlan, L., and Los, S.: Ability of the land surface model ISBA-A-gs to simulate leaf area index at the global scale: Comparison with satellites products, J. Geophys. Res., 111, D18102, doi:10.1029/2005JD006691, 2006.
37. Giuntoli, I., Renard, B., and Lang, M.: Changes in Flood risk in Europe, edited by: Kundzewicz, Z. K., iAHS Special Publication 10, 199-211, 2012.
38. Giuntoli, I., Renard, B., Vidal, J.-P., and Bard, A.: Low flows in France and their relationship to large-scale climate indices, J. Hydrol., 482, 105-118, doi:10.1016/j.jhydrol.2012.12.038, 2013.
39. GRDC: French contribution to the Climate Sensitive Stations, available at: http://www.bafg.de/GRDC/EN/Home/homepage-node.html (last access: April 2017), 2015.
40. Habets, F., Boone, A., Champeaux, J. L., Etchevers, P., Franchistéguy, L., Leblois, E., Ledoux, E., Moigne, P. L., Martin, E., Morel, S., Noilhan, J., Segui, P. Q., Rousset-Regimbeau, F., and Viennot, P.: The SAFRAN-ISBA-MODCOU hydrometeorological model applied over France, J. Geophys. Res., 113, D06113, doi:10.1029/2007JD008548, 2008.
41. Hess, H.: Assimilation of screen-level observations by variational soil moisture analysis, Meteorol. Atmos. Phys., 77, 145-154, 2001.
42. Houser, P., Shuttleworth, W., Famiglietti, J., Gupta, H., Syed, K., and Goodrich, D.: Assessment of a multi-dimensional satellite rainfall error model for ensemble generation of satellite rainfall data, Water Resour. Res., 34, 3405-3420, 1998.
43. Jarlan, L., Balsamo, G., Lafont, S., Beljaars, A., Calvet, J.-C., and Mougin, E.: Analysis of leaf area index in the ECMWF land surface model and impact of latent heat on carbon fluxes: application to West Africa, J. Geophys. Res., 113, D24117, doi:10.1029/2007JD009370, 2008.
44. Jazwinski, A. H.: Stochastic Processes and Filtering Theory, Academic press, eBook, ISBN-13: 9780080960906, 150-158, 1970.
45. Kerr, Y. H., Waldteufel, P., Wigneron, J.-P., Martinuzzi, J.-M., Font, J., and Berger, M.: Soil moisture retrieval from space: the Soil Moisture and Ocean Salinity (SMOS) mission, IEEE T. Geosci. Remote, 39, 1729-1735, 2001.
46. Koster, R. and Suarez, M.: Modeling the land surface boundary in climate modls as a composite of independent vegetationstands, J. Geophys. Res., 97, 2697-2715, 1992.
47. Koster, R., Z.Guo, Yang, R., Dirmeyer, P., Mitchell, K., and Puma, M. J.: On the nature of soil moisture in land surface models, J. Climate, 22, 4322-4334, 2009.
48. Kumar, S. V., Reichle, R., Harrison, K., Peters-Lidard, C., Yatheendradas, S., and Santanello, J. A.: A comparison of methods for a priori bias correction in soil moisture data assimilation, Water Resour. Res., 48, W03515, doi:10.1029/2010WR010261, 2012.
49. Lafont, S., Zhao, Y., Calvet, J.-C., Peylin, P., Ciais, P., Maignan, F., and Weiss, M.: Modelling LAI, surface water and carbon fluxes at high-resolution over France: comparison of ISBA-A-gs and ORCHIDEE, Biogeosciences, 9, 439-456, doi:10.5194/bg- 9-439-2012, 2012.
50. Le Moigne, P.: Description de l'analyse des champs de surface sur la France par le système SAFRAN, Technical report, Meteo- France/CNRM, 2002.
51. Ledoux, E., Girard, G., Marsily, G. D., and Deschenes, J.: Spatially distributed modeling: Conceptual approach, coupling surface water and ground water, in: Unsaturated Flow Hydrologic Modeling: Theory and Practice, NATO, ASI Series C, edited by: Morel-Seytoux, H., vol. 275, 435-454, 1989.
52. Maggioni, V., Anagnostou, E. N., and Reichle, R. H.: The impact of model and rainfall forcing errors on characterizing soil moisture uncertainty in land surface modeling, Hydrol. Earth Syst. Sci., 16, 3499-3515, doi:10.5194/hess-16-3499-2012, 2012.
53. Mahfouf, J.: Advances in model physics and their relevance to satellite data assimilation, Proceedings of the ECMWF seminar on the use of satellite observations in NWP, available at: http://www.ecmwf.int/sites/default/files/elibrary/, (last access: April 2017), 2014.
54. Mahfouf, J.-F.: Assimilation of satellite-derived soil moisture from ASCAT in a limited-area NWP model, Q. J. Roy. Meteor. Soc., 136, 784-798, doi:10.1002/qj.602, 2010.
55. Mahfouf, J.-F. and Noilhan, J.: Inclusion of gravitational drainage in a land surface scheme based on the force-restore method, J. Appl. Meteorol., 35, 987-992, 1996.
56. Mahfouf, J.-F., Bergaoui, K., Draper, C., Bouyssel, C., Taillefer, F., and Taseva, L.: A comparison of two off-line soil analysis schemes for assimilation of screen-level observations, J. Geophys. Res, 114, D08105, doi:10.1029/2008JD011077, 2009.
57. Meteo-France: SAFRAN atmospheric analysis, available at: http: //mistrals.sedoo.fr/HyMeX/ (last access: April 2017), 2015.
58. Moradkhani, H., Hsu, K.-L., Gupta, H., and Sorooshian, S.: Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter, Water Resour. Res., 41, W05012, doi:10.1029/2004WR003604, 2005.
59. Moradkhani, H., DeChant, C. M., and Sorooshian, S.: Evolution of ensemble data assimilation for uncertainty quantification using the Particle Filter-Markov Chain Monte Carlo method, Water Resour. Res., 48, W2520, doi:10.1029/2012WR012144, 2012.
60. Moriasi, D., Arnold, J., Van Liew, M., Bingner, R., Harmel, R., and Veith, T.: Model evaluation guidelines for systematic quantification of accuracy in watershed simulations, American Society of Agricultural and Biological Engineers, 50, 885-900, 2007.
61. Muñoz Sabater, J., Jarlan, L., Calvet, J.-C., and Boyssel, F.: From Near-Surface to Root-Zone Soil Moisture Using Different Assimilation Techniques, J. Hydrometeorol., 8, 194-206, doi:10.1175/JHM571.1, 2007.
62. Nash, J. and Sutcliffe, J.: River flow forecasting through conceptual models, Part I - A discussion of principles, J. Hydrol., 10, 282-290, 1970.
63. Noilhan, J. and Mahfouf, J.-F.: The ISBA land surface parameterisation scheme, Global Planet. Change, 13, 145-159, 1996.
64. Quitana-Ségui, P., Moigne, P. L., Durand, P., Martin, E., Baillon, F. H. M., Canellas, C., and Franchistéguy, L.: Analysis of nearsurface atmospheric variables: Validation of SAFRAN analysis over France, J. Appl. Meteorol. Clim., 47, 92-107, 2008.
65. Reichle, R. and Koster, R.: Global assimilation of satellite surface soil moisture retrievals into the NASA Catchment Land Model, Geophys. Res. Lett., 32, L02404, doi:10.1029/2004GL021700, 2005.
66. Reichle, R., Walker, J., Koster, R., and Houser, P.: Extended vs Ensemble Kalman Filtering for Land Data Assimilation, J. Hydrometeorol., 3, 728-740, 2002.
67. 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.
68. Reichle, R., Crow, W., and Keppenne, C.: An adaptive ensemble Kalman filter for soil moisture data assimilation, Water Resour. Res, 44, WO3243, doi:10.1029/2007WR006357, 2008.
69. Rüdiger, C., Albergel, C., Mahfouf, J.-F., Calvet, J.-C., and Walker, J.: Evaluation of the observation operator Jecobian for leaf area index data assimilation with an extended Kalman filter, J. Geophys. Res., 115, D09111, doi:10.1029/2009JD012912, 2010.
70. Scipal, K., Naeimi, V., and Hasenauer, S.: Definition of Quality Flags, ASCAT Soil Moisture Report Series, 7, 30 pp., available at: https://publik.tuwien.ac.at/files/PubDat-219473.pdf (last access: April 2017), 2005.
71. 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, doi:10.1016/j.advwatres.2008.04.013, 2008.
72. Scott, D.: Multivariate Density Estimation: Theory, Practice, and Visualization, John Wiley & Sons, New York, Chicester, 1992.
73. Szczypta, C., Calvet, J.-C., Albergel, C., Balsamo, G., Boussetta, S., Carrer, D., Lafont, S., and Meurey, C.: Verification of the new ECMWF ERA-Interim reanalysis over France, Hydrol. Earth Syst. Sci., 15, 647-666, doi:10.5194/hess-15-647-2011, 2011.
74. Thirel, G., Martin, E., Mahfouf, J.-F., Massart, S., Ricci, S., and Habets, F.: A past discharges assimilation system for ensemble streamflow forecasts over France - Part 1: Description and validation of the assimilation system, Hydrol. Earth Syst. Sci., 14, 1623-1637, doi:10.5194/hess-14-1623-2010, 2010.
75. Vidal, J.-P., Martin, E., Franchistéguy, L., Baillon, M., and Soubeyroux, J.-M.: A 50-year high-resolution atmospheric analysis over France with the Safran system, Int. J. Climatol, 30, 1627-1644, doi:10.1002/joc.2003, 2010.
76. Vreugdenhill, M., Dorigo, W. A., Wagner, W., de Jeu, R. A. M., Hahn, S. M., and van Marle, J. E.: Analyzing the vegetation parameterization in the TU-Wien ASCAT soil moisture retrieval, IEEE T. Geosci. Remote, 54, 3513-3531, doi:10.1109/TGRS.2016.2519842, 2016.
77. 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.
78. Wagner, W., Blöschl, G., Pampaloni, P., Calvet, J.-C., Bizzarri, B., Wigneron, J.-P., and Kerr, Y.: Operational Readiness of Microwave Remote Sensing of Soil Moisture for Hydrologic Applications, Nordic Hydrol., 38, 1-20, doi:10.2166/nh.2007.029, 2007.
79. Walker, J. and Houser, P.: Hydrologic data assimilation, in: Advances in Water Science Methodologies, edited by: Aswathanarayana, U., A.A. Balkema, the Netherlands, p. 230, 2005.
80. Zhou, Y., McLaughlin, D., and Entekhabi, D.: Assessing the Performance of the Ensemble Kalman Filter for Land Surface Data Assimilation, Mon. Weather Rev., 134, 2128-2142, 2006.