Assimilation of remotely sensed soil saturation levels in conceptual rainfall-runoff models

IAHS-AISH Publication

Volumn , Issue 303, 2006, Pages 226-234

  Matgen, Patrick ^a   Henry, Jean Baptiste ^b   Hoffmann, Lucien ^a   Pfister, Laurent ^a  

^a Public Research Centre   (Luxembourg)

^b Service Régional de Traitement d'Image et de Télé détection   (France)

Author keywords

Data assimilation; Flood forecasting; Kalman filter; Synthetic Aperture Radar

Indexed keywords

BACKSCATTERING; FLOOD CONTROL; KALMAN FILTERING; RAIN; RUNOFF; SYNTHETIC APERTURE RADAR;

DATA ASSIMILATION; FLOOD FORECASTING; RADAR SIGNALS; SOIL SATURATION;

REMOTE SENSING;

ANALYTICAL METHOD; BACKSCATTER; DATA ASSIMILATION; ENVIRONMENTAL FACTOR; FIELD METHOD; FLOOD CONTROL; FLOOD FORECASTING; KALMAN FILTER; NONLINEARITY; RADAR; RAINFALL-RUNOFF MODELING; REMOTE SENSING; RIVER BASIN; SOIL WATER POTENTIAL; SYNTHETIC APERTURE RADAR; WATER TABLE;

ALZETTE RIVER; BENELUX; EURASIA; EUROPE; LUXEMBOURG [BENELUX]; WESTERN EUROPE;

EID: 33745778704     PISSN: 01447815     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Aubert, D., Loumagne, C. & Oudin, L. (2003) Sequential assimilation of soil moisture and streamflow data in a conceptual rainfall-runoff model. J. Hydrol 280, 145-161.
2. Chen, X. & Hu, Q. (2004) Groundwater influences on soil moisture and surface evaporation. J. Hydrol. 297, 285-300.
3. Duan, Q., Gupta, H. V. & Sorooshian, S. (1992) Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resour. Res. 28(4), 1015-1031.
4. Francois, C., Quesney, A. & Ottlé, C. (2003) Sequential assimilation of ERS-1 SAR data into a coupled land surfacehydrological model using an extended Kalman Filter. J. Hydrometeorology 4, 473-487.
5. Houser, P. R., Shuttleworth, W. J., Famiglietti, J. S., Gupta, H. V., Syed, K. H. & Goodrich, D. C. (1998) Integration of soil moisture remote sensing and hydrologic modeling using data assimilation. Water Resour. Res. 34, 3405-3420.
6. Lindström, G., Johansson, B., Persson, M., Gardelin, M., & Bergström, S. (1997) Development and test of the distributed HBV-96 hydrological model. J. Hydrol. 201, 272-288.
7. Matgen, P., El Idrissi, A., Henry, J. B., Tholey, N., Hoffmann, L., De Fraipont, P. & Pfister, L. (2005a) Patterns of remotely sensed flood plain saturation and its use in runoff predictions. Hydrol. Processes (in press).
8. Matgen, P., Henry, J. B., Drogue, G., Fenicia, F., Van den Bos, R., De Fraipont, P., Hoffmann, L. & Pfister, L. (2005b) Towards an increased performance of flood forecasting through assimilation of remotely sensed soil saturation levels in conceptual rainfall-runoff models. In: Remote Sensing of Environment (Proc. 31st Int. Symp., 20-24 June 2005, St. Petersburg, Russia). CD-ROM and http://www.isprs.org/publications/related/ISRSE/html/welcome.html
9. OECD (2005) Space 2030. Tackling Society 's Challenges. OECD Publications, Paris, France.
10. Pauwels, V. R. N., Hoeben, R., Verhoest, N. E. C. & De Troch, F. P. (2001) The importance of the spatial patterns of remotely sensed soil moisture in the improvement of discharge predictions for small-scale basins through data assimilation. J. Hydrol. 251, 88-102.
11. Pfister, L., Drogue, G., El Idrissi, A., Humbert, J., Iffly, J. F., Matgen, P. & Hoffmann, L. (2003) Predicting peak discharge through empirical relationships between rainfall, groundwater level and basin humidity in the Alzette River basin, Grand-Duchy of Luxembourg. J. Hydrol. & Hydromechanics 51, 210-220.
12. Quesney, A., Le Hégarat-Mascle, S., Taconet, O., Vidal-Madjar, D., Wigneron, J. P., Loumagne, C. & Normand, M. (2000) Estimation of watershed soil moisture index from ERS/SAR data. Remote Sens. Environ. 72, 290-303.
13. Ramos, M. C. (2001) Divisive and hierarchical clustering techniques to analyse variability of rainfall distribution patterns in a Mediterranean region. Atmos. Res. 57, 123-138.
14. Schmugge, T. J., Kustas, W. P., Ritchie, J. C., Jackson, T. J. & A. Rango, A. (2002) Remote sensing in hydrology. Adv. Water Resour. 25, 1367-1385.
15. Sorensen, J. V. T. & Madsen, H. (2004) Data assimilation in hydrodynamic modelling: on the treatment of nonlinearity and bias. Stochast. Environ. Res. 18, 1-17.
16. Wagner, W. & Pathe, C. (2004) Has SAR failed in soil moisture retrieval? In: Proc. 2004 ENVISAT & ERS Symposium (ed. by H. Lacoste & L. Ouwehand L.), (6-10 September 2004, Salzburg, Austria) ESA SP-572, April 2005) CD-ROM and http://earth.esa.int/workshops/salzburg04/proceedings.html.
17. Walker, J. (2005) Towards remote sensing for hydrologic prediction in ungauged basins. Proceedings of the IAHS General Assembly, Foz do Iguaeu, Brazil. CD-ROM.