| dc.contributor.author | Mustafa, Syed M.Touhidul | |
| dc.contributor.author | Moudud Hasan, M. | |
| dc.contributor.author | Saha, Ajoy Kumar | |
| dc.contributor.author | Rannu, Rahena Parvin | |
| dc.contributor.author | Van Uytven, Els | |
| dc.contributor.author | Willems, Patrick | |
| dc.contributor.author | Huysmans, Marijke | |
| dc.date.accessioned | 2019-11-29T13:25:01Z | |
| dc.date.available | 2019-11-29T13:25:01Z | |
| dc.date.issued | 2019-05-13 | |
| dc.identifier | 148929290 | |
| dc.identifier | 44196143-c8ce-4e9b-9dd2-a927cabce16e | |
| dc.identifier | 85065906246 | |
| dc.identifier.citation | Mustafa , S M T , Moudud Hasan , M , Saha , A K , Rannu , R P , Van Uytven , E , Willems , P & Huysmans , M 2019 , ' Multi-model approach to quantify groundwater-level prediction uncertainty using an ensemble of global climate models and multiple abstraction scenarios ' , Hydrology and Earth System Sciences , vol. 23 , no. 5 , pp. 2279-2303 . https://doi.org/10.5194/hess-23-2279-2019 , https://doi.org/10.5194/hess-23-2279-2019-supplement | en |
| dc.identifier.issn | 1027-5606 | |
| dc.identifier.uri | https://hdl.handle.net/2164/13329 | |
| dc.description | Acknowledgements. We acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modelling groups for producing and making available their model output. The fifth author obtained a PhD scholarship from the Fund for Scientific Research (FWO)-Flanders. This financial support is gratefully acknowledged. Data availability. The climate model data are publicly available through the website of the Earth System Grid Federation (https://esgf.llnl.gov, last access: 8 May 2019). Other data used in this study are summarized and presented in the figures, tables, references, and the Supplement. Additional data, model code and results are available upon request to the first (syed.mustafa@vub.be) and last (marijke.huysmans@vub.be) authors. | en |
| dc.format.extent | 25 | |
| dc.format.extent | 6305064 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Hydrology and Earth System Sciences | en |
| dc.subject | SDG 13 - Climate Action | en |
| dc.subject | GE Environmental Sciences | en |
| dc.subject | Water Science and Technology | en |
| dc.subject | Earth and Planetary Sciences (miscellaneous) | en |
| dc.subject | Supplementary Data | en |
| dc.subject.lcc | GE | en |
| dc.title | Multi-model approach to quantify groundwater-level prediction uncertainty using an ensemble of global climate models and multiple abstraction scenarios | en |
| dc.type | Journal article | en |
| dc.contributor.institution | University of Aberdeen.Geography & Environment | en |
| dc.description.status | Peer reviewed | en |
| dc.identifier.doi | 10.5194/hess-23-2279-2019 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85065906246&partnerID=8YFLogxK | en |
| dc.identifier.url | http://(https://esgf.llnl.gov, | en |
