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Shot noise models for the generation of synthetic streamflow data
Author(s) -
Weiss Gideon
Publication year - 1977
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr013i001p00101
Subject(s) - streamflow , recession , synthetic data , noise (video) , exponential function , series (stratigraphy) , mathematics , econometrics , algorithm , computer science , statistics , geology , geography , artificial intelligence , cartography , mathematical analysis , economics , drainage basin , paleontology , keynesian economics , image (mathematics)
A shot noise process consisting of a series of events at random times and of random magnitudes, each of which produces a fixed shaped rise and recession, is used as the basis for describing continuous time streamflows. This type of model is chosen for its ability to model recessions. Recession shapes consisting of one or two exponential curves are considered. The fitting of the models to multisite daily data and the generation of synthetic daily data are described. The application of the models to some English streamflow data is illustrated.