Uncertainty assessment of radar-raingauge merged rainfall estimates in river discharge simulations

Nergui Nanding; Miguel A Rico-Ramirez; Dawei Han; Huan Wu; Qiang Dai; Jun Zhang

doi:10.1016/j.jhydrol.2021.127093

Uncertainty assessment of radar-raingauge merged rainfall estimates in river discharge simulations

Nergui Nanding^*, Miguel A Rico-Ramirez, Dawei Han, Huan Wu, Qiang Dai, Jun Zhang

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

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Original language	English
Article number	127093
Journal	Journal of Hydrology
Volume	603
DOIs	https://doi.org/10.1016/j.jhydrol.2021.127093
Publication status	Published - Dec 2021

Bibliographical note

Funding Information:
The authors acknowledge the support of the National Natural Science Foundation of China (Grants: 41905101 , 41861144014 , 41775106 , 42088101 ), National Key R&D Program of China (Grant: 2017YFA0604300), and partially by the Program for Guangdong Introducing Innovative and Entrepreneurial Teams (Grant: 2017ZT07X355). The authors thank the Environment Agency (Contains Environment Agency Information © Environment Agency and database right; http://environment-agency.gov.uk/contactus/default.aspx ), the UK Met Office, and the British Atmospheric Data Centre ( http://badc.nerc.ac.uk ) for providing the data sets. This work was carried out using the computational facilities of the Advanced Computing Research Centre, University of Bristol ( http://www.bris.ac.uk/acrc ).

Funding Information:
The authors acknowledge the support of the National Natural Science Foundation of China (Grants: 41905101, 41861144014, 41775106, 42088101), National Key R&D Program of China (Grant: 2017YFA0604300), and partially by the Program for Guangdong Introducing Innovative and Entrepreneurial Teams (Grant: 2017ZT07X355). The authors thank the Environment Agency (Contains Environment Agency Information ? Environment Agency and database right; http://environment-agency.gov.uk/contactus/default.aspx), the UK Met Office, and the British Atmospheric Data Centre (http://badc.nerc.ac.uk) for providing the data sets. This work was carried out using the computational facilities of the Advanced Computing Research Centre, University of Bristol (http://www.bris.ac.uk/acrc).

Publisher Copyright:
© 2021 The Author(s)

Research Groups and Themes

Water and Environmental Engineering

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@article{48977a94e8524a20b1335bb0c17326eb,

title = "Uncertainty assessment of radar-raingauge merged rainfall estimates in river discharge simulations",

author = "Nergui Nanding and Rico-Ramirez, {Miguel A} and Dawei Han and Huan Wu and Qiang Dai and Jun Zhang",

note = "Funding Information: The authors acknowledge the support of the National Natural Science Foundation of China (Grants: 41905101 , 41861144014 , 41775106 , 42088101 ), National Key R&D Program of China (Grant: 2017YFA0604300), and partially by the Program for Guangdong Introducing Innovative and Entrepreneurial Teams (Grant: 2017ZT07X355). The authors thank the Environment Agency (Contains Environment Agency Information {\textcopyright} Environment Agency and database right; http://environment-agency.gov.uk/contactus/default.aspx ), the UK Met Office, and the British Atmospheric Data Centre ( http://badc.nerc.ac.uk ) for providing the data sets. This work was carried out using the computational facilities of the Advanced Computing Research Centre, University of Bristol ( http://www.bris.ac.uk/acrc ). Funding Information: The authors acknowledge the support of the National Natural Science Foundation of China (Grants: 41905101, 41861144014, 41775106, 42088101), National Key R&D Program of China (Grant: 2017YFA0604300), and partially by the Program for Guangdong Introducing Innovative and Entrepreneurial Teams (Grant: 2017ZT07X355). The authors thank the Environment Agency (Contains Environment Agency Information ? Environment Agency and database right; http://environment-agency.gov.uk/contactus/default.aspx), the UK Met Office, and the British Atmospheric Data Centre (http://badc.nerc.ac.uk) for providing the data sets. This work was carried out using the computational facilities of the Advanced Computing Research Centre, University of Bristol (http://www.bris.ac.uk/acrc). Publisher Copyright: {\textcopyright} 2021 The Author(s)",

year = "2021",

month = dec,

doi = "10.1016/j.jhydrol.2021.127093",

language = "English",

volume = "603",

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T1 - Uncertainty assessment of radar-raingauge merged rainfall estimates in river discharge simulations

AU - Nanding, Nergui

AU - Rico-Ramirez, Miguel A

AU - Han, Dawei

AU - Wu, Huan

AU - Dai, Qiang

AU - Zhang, Jun

N1 - Funding Information: The authors acknowledge the support of the National Natural Science Foundation of China (Grants: 41905101 , 41861144014 , 41775106 , 42088101 ), National Key R&D Program of China (Grant: 2017YFA0604300), and partially by the Program for Guangdong Introducing Innovative and Entrepreneurial Teams (Grant: 2017ZT07X355). The authors thank the Environment Agency (Contains Environment Agency Information © Environment Agency and database right; http://environment-agency.gov.uk/contactus/default.aspx ), the UK Met Office, and the British Atmospheric Data Centre ( http://badc.nerc.ac.uk ) for providing the data sets. This work was carried out using the computational facilities of the Advanced Computing Research Centre, University of Bristol ( http://www.bris.ac.uk/acrc ). Funding Information: The authors acknowledge the support of the National Natural Science Foundation of China (Grants: 41905101, 41861144014, 41775106, 42088101), National Key R&D Program of China (Grant: 2017YFA0604300), and partially by the Program for Guangdong Introducing Innovative and Entrepreneurial Teams (Grant: 2017ZT07X355). The authors thank the Environment Agency (Contains Environment Agency Information ? Environment Agency and database right; http://environment-agency.gov.uk/contactus/default.aspx), the UK Met Office, and the British Atmospheric Data Centre (http://badc.nerc.ac.uk) for providing the data sets. This work was carried out using the computational facilities of the Advanced Computing Research Centre, University of Bristol (http://www.bris.ac.uk/acrc). Publisher Copyright: © 2021 The Author(s)

PY - 2021/12

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U2 - 10.1016/j.jhydrol.2021.127093

DO - 10.1016/j.jhydrol.2021.127093

M3 - Article (Academic Journal)

SN - 0022-1694

VL - 603

JO - Journal of Hydrology

JF - Journal of Hydrology

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