A Multivariate Modeling Approach for Generating Ensemble Climatology Forcing for Hydrologic Applications
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by
Sepideh Khajehei
References
NOTE: currently batch computed and may include additional references sources, or be missing recent changes, compared to entity reference list.Showing 1 - 30 of 57 references (in 55ms) | ||
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[b0] via grobid |
Aho, K., D. Derryberry, and T. Peterson, 2014, Model selection for ecologists: the worldviews of AIC and BIC: Ecology, v. 95, p. 631-636.
| |
[b1] via grobid |
Anderson, J. L., 2001, An ensemble adjustment Kalman filter for data assimilation: Monthly weather review, v. 129, p. 2884-2903.
| |
[b2] via grobid |
Anderson, T. W., 1962, On the distribution of the two-sample Cramer-von Mises criterion: The Annals of Mathematical Statistics, p. 1148-1159.
| |
[b3] via fuzzy |
Accuracy of radar rainfall estimates for streamflow simulation
Marco Borga 2002 Journal of Hydrology doi:10.1016/s0022-1694(02)00137-3 | |
[b4] via grobid |
Brown, J. D., and D. J. Seo, 2013, Evaluation of a nonparametric post-processor for bias correction and uncertainty estimation of hydrologic predictions: Hydrological Processes, v. 27, p. 83-105.
| |
[b5] via grobid |
Bárdossy, A., 2006, Copula-based geostatistical models for groundwater quality parameters: Water Resources Research, v. 42.
| |
[b6] via grobid |
Cherubini, U., E. Luciano, and W. Vecchiato, 2004, Copula methods in finance, John Wiley & Sons.
| |
[b7] via fuzzy |
The Schaake Shuffle: A Method for Reconstructing Space–Time Variability in Forecasted Precipitation and Temperature Fields
Martyn Clark, Subhrendu Gangopadhyay, Lauren Hay, Balaji Rajagopalan, Robert Wilby 2004 Journal of Hydrometeorology doi:10.1175/1525-7541(2004)005<0243:tssamf>2.0.co;2 |
web.archive.org
[PDF]
|
[b8] via fuzzy |
Use of Medium-Range Numerical Weather Prediction Model Output to Produce Forecasts of Streamflow
Martyn P. Clark, Lauren E. Hay 2004 Journal of Hydrometeorology doi:10.1175/1525-7541(2004)005<0015:uomnwp>2.0.co;2 |
web.archive.org
[PDF]
|
[b9] via grobid |
DeChant, C. M., and H. Moradkhani, 2011, Improving the characterization of initial condition for ensemble streamflow prediction using data assimilation: Hydrology and Earth System Sciences, v. 15, p. 3399-3410.
| |
[b10] via grobid |
DeChant, C. M., and H. Moradkhani, 2014, Toward a reliable prediction of seasonal forecast uncertainty: Addressing model and initial condition uncertainty with ensemble data assimilation and Sequential Bayesian Combination: Journal of Hydrology, v. 519, Part D, p. 2967-2977.
| |
[b11] via grobid |
On the assessment of reliability in probabilistic hydrometeorological event forecasting
Caleb M. DeChant, Hamid Moradkhani 2015 Water Resources Research doi:10.1002/2014wr016617 |
web.archive.org
[PDF]
|
[b12] via grobid |
Demargne, J., J. Brown, Y. Liu, D. J. Seo, L. Wu, Z. Toth, and Y. Zhu, 2010, Diagnostic verification of hydrometeorological and hydrologic ensembles: Atmospheric Science Letters, v. 11, p. 114-122.
| |
[b13] via grobid |
Favre, A. C., S. El Adlouni, L. Perreault, N. Thiémonge, and B. Bobée, 2004, Multivariate hydrological frequency analysis using copulas: Water resources research, v. 40.
| |
[b14] via grobid |
Genest, C., B. Rémillard, and D. Beaudoin, 2009, Goodness-of-fit tests for copulas: A review and a power study: Insurance: Mathematics and economics, v. 44, p. 199- 213.
| |
[b15] via grobid |
Gupta, H. V., H. Kling, K. K. Yilmaz, and G. F. Martinez, 2009, Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling: Journal of Hydrology, v. 377, p. 80-91.
| |
[b16] via grobid |
Hamill, T. M., and J. S. Whitaker, 2006, Probabilistic quantitative precipitation forecasts based on reforecast analogs: Theory and application: Monthly Weather Review, v. 134, p. 3209-3229.
| |
[b17] via grobid |
Hamill, T. M., J. S. Whitaker, and S. L. Mullen, 2006, Reforecasts: An Important Dataset for Improving Weather Predictions: Bulletin of the American Meteorological Society, v. 87, p. 33-46.
| |
[b18] via grobid |
Hersbach, H., 2000, Decomposition of the Continuous Ranked Probability Score for Ensemble Prediction Systems: Weather and Forecasting, v. 15, p. 559-570.
| |
[b19] via grobid |
Joe, H., 1997, Multivariate models and multivariate dependence concepts, v. 73, CRC Press.
| |
[b20] via grobid |
Kelly, K. S., and R. Krzysztofowicz, 1997, A bivariate meta-Gaussian density for use in hydrology: Stochastic Hydrology and Hydraulics, v. 11, p. 17-31.
| |
[b21] via fuzzy |
Hydrologic uncertainty processor for probabilistic river stage forecasting: precipitation-dependent model
Roman Krzysztofowicz, Henry D Herr 2001 Journal of Hydrology doi:10.1016/s0022-1694(01)00412-7 | |
[b22] via grobid |
Li, H., J. Sheffield, and E. F. Wood, 2010, Bias correction of monthly precipitation and temperature fields from Intergovernmental Panel on Climate Change AR4 models using equidistant quantile matching: Journal of Geophysical Research: Atmospheres (1984-2012), v. 115.
| |
[b23] via grobid |
Liu, Y., Q. Duan, L. Zhao, A. Ye, Y. Tao, C. Miao, X. Mu, and J. C. Schaake, 2013, Evaluating the predictive skill of post-processed NCEP GFS ensemble precipitation forecasts in China's Huai river basin: Hydrological Processes, v. 27, p. 57-74.
| |
[b24] via grobid |
Improved Bayesian multimodeling: Integration of copulas and Bayesian model averaging
Shahrbanou Madadgar, Hamid Moradkhani 2014 Water Resources Research doi:10.1002/2014wr015965 |
web.archive.org
[PDF]
|
[b25] via grobid |
Madadgar, S., H. Moradkhani, and D. Garen, 2014, Towards improved post-processing of hydrologic forecast ensembles: Hydrological Processes, v. 28, p. 104-122.
| |
[b26] via grobid |
Drought Analysis under Climate Change Using Copula
Shahrbanou Madadgar, Hamid Moradkhani 2013 Journal of hydrologic engineering doi:10.1061/(asce)he.1943-5584.0000532 |
web.archive.org
[PDF]
|
[b27] via grobid |
A Bayesian Framework for Probabilistic Seasonal Drought Forecasting
Shahrbanou Madadgar, Hamid Moradkhani 2013 Journal of Hydrometeorology doi:10.1175/jhm-d-13-010.1 | |
[b28] via grobid |
Spatio-temporal drought forecasting within Bayesian networks
Shahrbanou Madadgar, Hamid Moradkhani 2014 Journal of Hydrology doi:10.1016/j.jhydrol.2014.02.039 | |
[b29] via grobid |
Evolution of ensemble data assimilation for uncertainty quantification using the particle filter-Markov chain Monte Carlo method
Hamid Moradkhani, Caleb M. DeChant, Soroosh Sorooshian 2012 Water Resources Research doi:10.1029/2012wr012144 |
web.archive.org
[PDF]
|
|