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Errors and Parameter Estimation in Precipitation‐Runoff Modeling: 2. Case Study
Author(s) -
Troutman Brent M.
Publication year - 1985
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/wr021i008p01214
Subject(s) - surface runoff , precipitation , calibration , sensitivity (control systems) , estimation theory , estimation , environmental science , statistics , nonlinear system , hydrological modelling , regression analysis , computer science , hydrology (agriculture) , mathematics , meteorology , climatology , geology , engineering , geotechnical engineering , geography , ecology , systems engineering , biology , physics , quantum mechanics , electronic engineering
A case study is presented which illustrates some of the error analysis, sensitivity analysis, and parameter estimation procedures reviewed in the first part of this paper. It is shown that those procedures, most of which come from statistical nonlinear regression theory, are invaluable in interpreting errors in precipitation‐runoff modeling and in identifying appropriate calibration strategies.