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Streamflow Prediction in Highly Regulated, Transboundary Watersheds Using Multi-Basin Modeling and Remote Sensing Imagery
Du, Tien L. T.
Lee, Hyongki
Bui, Duong D.
Graham, Phil
SMHI, Professional Services.
Darby, Stephen D.
ORCID iD:
0000-0001-8778-4394
Pechlivanidis, Ilias
SMHI, Research Department, Hydrology.
ORCID iD:
0000-0002-3416-317X
Leyland, Julian
Biswas, Nishan K.
Choi, Gyewoon
Batelaan, Okke
Bui, Thao T. P.
Do, Son K.
Tran, Tinh, V
Nguyen, Hoa Thi
Hwang, Euiho
Show others and affiliations
2022 (English)
In:
Water resources research, ISSN 0043-1397, E-ISSN 1944-7973, Vol. 58, no 3, article id e2021WR031191
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2022. Vol. 58, no 3, article id e2021WR031191
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
URN:
urn:nbn:se:smhi:diva-6256
DOI:
10.1029/2021WR031191
ISI:
000774738200001
OAI: oai:DiVA.org:smhi-6256
DiVA, id:
diva2:1652314
Available from:
2022-04-19
Created:
2022-04-19
Last updated:
2022-04-19
Bibliographically approved
Open Access in DiVA
Streamflow Prediction in Highly Regulated, Transboundary Watersheds Using Multi-Basin Modeling and Remote Sensing Imagery
(2881 kB)
206 downloads
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Graham, Phil
Pechlivanidis, Ilias
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Darby, Stephen D.
Pechlivanidis, Ilias
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ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
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en-GB
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