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Prediction of areal precipitation from point measurements | |
Author | Huang, Wen-cheng |
Call Number | AIT SSPR no. WA-87-03 |
Subject(s) | Precipitation forecasting Point rainfall |
Note | A Special Study Report submitted in partial fulfillment of the requirement for the degree of Diploma Engineering, School of Engineering and Technology |
Publisher | Asian Institute of Technology |
Series Statement | Special studies project report ; no. WA-87-03 |
Abstract | This specia l stud y is devoted to the prediction of point 1·ainfa11 . In order t o incr·ease the practica l use of rainfal 1- runoff model ,it needs to predict point rainfall in advance, and makes a transformation of point rainfal 1 to areal rainfal 1. The stud y presents two models, norma l distributed regression mode l a nd Kalman filter mo del, and both o f them take natural uncertainty into consideration. The results show that both models can p~rfo rm we l i in poini rain fal 1 prediction, and norma l distr ibu ted regression model performs better than Kalman fil ter model in thi s study. Here,also discusses some factors i nv ol ved in Kalman filter algorithm which influence the accuracy of Kalman filter mode l. The results point out the importance of error covariance structures for the Kalman filter model. |
Year | 1987 |
Corresponding Series Added Entry | Asian Institute of Technology. Special studies project report ; no. WA-87-03 |
Type | Special Study Project Report (SSPR) |
School | School of Engineering and Technology |
Department | Other Field of Studies (No Department) |
Academic Program/FoS | Water Resources Research Engineering (WA) |
Chairperson(s) | Bogardi, Janos J. ; |
Degree | Special Studies Project Report (M. Eng.) - Asian Institute of Technology, 1987 |