Due to the large number of model parameters requiring calibration and their inherent uncertainty, the practical application of physically based hydrologic models is not a straightforward task and yet has received inadequate attention in the literature. This work investigates the determination and usefulness of a measure of predictive uncertainty in a particular distributed physically based model, using the methods of Rosenblueth (1975) and Monte Carlo simulation, in an application to an upland catchment in Wales. An examination of the role of predictive uncertainty in assessing the hydrological effect of land use change is also made. The results of the study suggest that, even following parameter constraint through calibration, the predictive uncertainty may be high and can be sensitive to the effects of land use change.
Water Resources Research – Wiley
Published: Jun 1, 1991
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera