A new Maximum Likelihood Criterion (MLE) suitable for data which are
recorded at unequal time intervals and contain auto-correlated errors is developed.
Validation of the new MLE criterion has been carried out both on a simple two -
parameter reservoir model using synthetical data and on a more complicated hillslope
model using real data from the Pukeiti Catchment in New Zealand. Comparison
between the new MLE criterion and the Simple Least Squares (SLS) criterion reveals
the superiority of the former over the latter. Comparison made between the new
MLE and the MLE for auto-correlated case proposed by Sorooshian in 1978 has
shown that both criteria would yield results with no practical difference if equal
time interval data were used. However, the new MLE can work on variable time
interval data which provide more information than equal time interval data, and
therefore produces better visual results in hydrologic simulations.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/617640 |
| Date | 08 1900 |
| Creators | Duan, Qingyun, Sorooshian, Soroosh, Ibbitt, Richard P. |
| Contributors | Department of Hydrology & Water Resources, The University of Arizona |
| Publisher | Department of Hydrology and Water Resources, University of Arizona (Tucson, AZ) |
| Source Sets | University of Arizona |
| Language | en_US |
| Detected Language | English |
| Type | text, Technical Report |
| Source | Provided by the Department of Hydrology and Water Resources. |
| Rights | Copyright © Arizona Board of Regents |
| Relation | Technical Reports on Hydrology and Water Resources, No. 87-012 |
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