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Volumn 33, Issue 12, 2006, Pages

Investigating the impact of remotely sensed precipitation and hydrologic model uncertainties on the ensemble streamflow forecasting

Author keywords

[No Author keywords available]

Indexed keywords

HYDROLOGY; MATHEMATICAL MODELS; PRECIPITATION (METEOROLOGY); PROBABILITY; REMOTE SENSING; WEATHER SATELLITES;

EID: 33750609870     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/2006GL026855     Document Type: Article
Times cited : (57)

References (11)
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  • 2
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  • 3
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    • Toward improved calibration of hydrological models: Combining the strengths of manual and automatic methods
    • Boyle, D. P., H. V. Gupta, and S. Sorooshian (2000), Toward improved calibration of hydrological models: Combining the strengths of manual and automatic methods, Water. Resour. Res., 36(12), 3663-3674.
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    • Boyle, D.P.1    Gupta, H.V.2    Sorooshian, S.3
  • 4
    • 33645549317 scopus 로고    scopus 로고
    • Probabilistic quantitative precipitation estimation in complex terrain
    • Clark, M. P., and A. G. Slater (2006), Probabilistic quantitative precipitation estimation in complex terrain, J. Hydrometeorol., 7(1), 3-22.
    • (2006) J. Hydrometeorol. , vol.7 , Issue.1 , pp. 3-22
    • Clark, M.P.1    Slater, A.G.2
  • 5
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    • Precipitation estimation from remotely sensed imagery using Artificial Neural Network-Cloud Classification System
    • Hong, Y., K. Hsu, X. Gao, and S. Sorooshian (2004), Precipitation estimation from remotely sensed imagery using Artificial Neural Network-Cloud Classification System, J. Appl. Meteorol., 43(12), 1834-1853.
    • (2004) J. Appl. Meteorol. , vol.43 , Issue.12 , pp. 1834-1853
    • Hong, Y.1    Hsu, K.2    Gao, X.3    Sorooshian, S.4
  • 6
    • 33749405835 scopus 로고    scopus 로고
    • Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response
    • doi:10.1029/2005WR004398, in press
    • Hong, Y., K. Hsu, H. Moradkhani, and S. Sorooshian (2006), Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response, Water Resources Research, doi:10.1029/2005WR004398, in press.
    • (2006) Water Resources Research
    • Hong, Y.1    Hsu, K.2    Moradkhani, H.3    Sorooshian, S.4
  • 7
    • 25844463364 scopus 로고    scopus 로고
    • Numerical investigation of the impact of uncertainties in satellite rainfall estimation and land surface model parameters on simulation of soil moisture
    • Hossain, F., and E. N. Anagnostou (2005), Numerical investigation of the impact of uncertainties in satellite rainfall estimation and land surface model parameters on simulation of soil moisture, Adv. Water Resour., 28, 1336-1350.
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    • Hossain, F.1    Anagnostou, E.N.2
  • 8
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    • Dual state-parameter estimation of hydrological models using ensemble Kalman filter
    • Moradkhani, H., S. Sorooshian, H. Gupta, and P. Houser (2005a), Dual state-parameter estimation of hydrological models using ensemble Kalman filter, Adv. Water Resour., 28(2), 135-147.
    • (2005) Adv. Water Resour. , vol.28 , Issue.2 , pp. 135-147
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  • 9
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    • Moradkhani, H., K. Hsu, H. Gupta, and S. Sorooshian (2005b), Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using particle filter, Water Resour. Res., 41, W05012, doi:10.1029/2004WR003604.
    • (2005) Water Resour. Res. , vol.41
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  • 10
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.