Informing Stochastic Streamflow Generation by Large Scale Climate Indices at Single and Multiple Sites
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F22%3A91622" target="_blank" >RIV/60460709:41330/22:91622 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/abs/pii/S0309170821001913?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S0309170821001913?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.advwatres.2021.104037" target="_blank" >10.1016/j.advwatres.2021.104037</a>
Alternative languages
Result language
angličtina
Original language name
Informing Stochastic Streamflow Generation by Large Scale Climate Indices at Single and Multiple Sites
Original language description
Despite the existence of several stochastic streamflow generators, not much attention has been given to representing the impacts of large scale climate indices on seasonal to interannual streamflow variability. By merging a formal predictor selection scheme with vine copulas, we propose a generic approach to explicitly incorporate large scale climate indices in ensemble streamflow generation at single and multiple sites and in both short term prediction and long term projection modes. The proposed framework is applied at three headwater streams in the Oldman River Basin in southern Alberta, Canada. The results demonstrate higher skills than existing models both in terms of representing intra and inter annual variability, as well as accuracy and predictability of streamflow, particularly during high flow seasons. The proposed algorithm presents a globally relevant scheme for the stochastic streamflow generation, where the impacts of large scale climate indices on streamflow variability across time and
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ADVANCES IN WATER RESOURCES
ISSN
0309-1708
e-ISSN
1872-9657
Volume of the periodical
2022
Issue of the periodical within the volume
156
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
18
Pages from-to
1-18
UT code for WoS article
000700574900005
EID of the result in the Scopus database
2-s2.0-85114922649