Identification of the best multi-model combination for simulating river discharge
This paper focuses on the selection of the best multi-model ensemble method that is
subsequently used to create an ensemble for the discharge estimation in a catchment of the
Mahanadi river basin in India. Ten different multi-model ensemble methods, viz., mean,
median, trimmed mean, unconstrained and constrained multiple linear regression, weighted
mean based on calibration performance (two variants), linear programming, simple model
average and multi model super ensemble, are compared using calibrated and validated …
subsequently used to create an ensemble for the discharge estimation in a catchment of the
Mahanadi river basin in India. Ten different multi-model ensemble methods, viz., mean,
median, trimmed mean, unconstrained and constrained multiple linear regression, weighted
mean based on calibration performance (two variants), linear programming, simple model
average and multi model super ensemble, are compared using calibrated and validated …
Identification of the best multi-model combination for simulating river discharge.
AK Arun Kumar, R Singh, PP Jena… - 2015 - cabidigitallibrary.org
This paper focuses on the selection of the best multi-model ensemble method that is
subsequently used to create an ensemble for the discharge estimation in a catchment of the
Mahanadi river basin in India. Ten different multi-model ensemble methods, viz., mean,
median, trimmed mean, unconstrained and constrained multiple linear regression, weighted
mean based on calibration performance (two variants), linear programming, simple model
average and multi model super ensemble, are compared using calibrated and validated …
subsequently used to create an ensemble for the discharge estimation in a catchment of the
Mahanadi river basin in India. Ten different multi-model ensemble methods, viz., mean,
median, trimmed mean, unconstrained and constrained multiple linear regression, weighted
mean based on calibration performance (two variants), linear programming, simple model
average and multi model super ensemble, are compared using calibrated and validated …
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