What can we learn from multi-data calibration of a process-based ecohydrological model?
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| Názov: | What can we learn from multi-data calibration of a process-based ecohydrological model? |
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| Autori: | Chris Soulsby, Sylvain Kuppel, Doerthe Tetzlaff, Marco P. Maneta |
| Prispievatelia: | University of Aberdeen.Geography & Environment, University of Aberdeen.Northern Rivers Institute (NRI), University of Aberdeen.Energy, University of Aberdeen.Environment and Food Security |
| Zdroj: | Environmental Modelling and Software |
| Informácie o vydavateľovi: | Elsevier BV, 2018. |
| Rok vydania: | 2018 |
| Predmety: | 551 Geologie, Hydrologie, Meteorologie, 0208 environmental biotechnology, 0207 environmental engineering, 02 engineering and technology, information content, ecohydrology, EcH2O, QE, process-based modelling, Catchment hydrology, catchment hydrology, Multi-objective calibration, GE, Ecohydrology, ddc:551, GA 335910 VeWa, 15. Life on land, multi-objective calibration, 6. Clean water, QE Geology, Process-based modelling, 13. Climate action, Information content, GE Environmental Sciences, European Research Council |
| Popis: | This work was funded by the European Research Council (project GA 335910 VeWa). M. Maneta acknowledges support from the U.S National Science Foundation (project GSS 1461576) and U.S National Science Foundation EPSCoR Cooperative Agreement #EPS1101342. All model runs were performed using the High Performance Computing (HPC) cluster of the University of Aberdeen, and the IT Service is thanked for its help in installing PCRaster and other libraries necessary to run EcH2O and post-processing Python routines on the HPC cluster. Finally, the authors are grateful to the many people who have been involved in establishing and continuing data collection at the Bruntland Burn, particularly Christian Birkel, Maria Blumstock, Jon Dick, Josie Geris, Konrad Piegat, Claire Tunaley, and Hailong Wang. |
| Druh dokumentu: | Article |
| Popis súboru: | application/pdf; application/vnd.openxmlformats-officedocument.wordprocessingml.document |
| Jazyk: | English |
| ISSN: | 1364-8152 |
| DOI: | 10.1016/j.envsoft.2018.01.001 |
| DOI: | 10.18452/18735 |
| Prístupová URL adresa: | https://edoc.hu-berlin.de/bitstream/18452/19448/1/1-s2.0-S1364815217305959-main.pdf https://abdn.pure.elsevier.com/en/publications/what-can-we-learn-from-multi-data-calibration-of-a-process-based- https://dblp.uni-trier.de/db/journals/envsoft/envsoft101.html#KuppelTMS18 https://www.cabdirect.org/cabdirect/abstract/20183134429 http://aura.abdn.ac.uk/bitstream/2164/11771/1/Draft_revised_final.pdf https://edoc.hu-berlin.de/handle/18452/19448 https://www.sciencedirect.com/science/article/pii/S1364815217305959 http://edoc.hu-berlin.de/18452/19448 https://doi.org/10.18452/18735 |
| Rights: | Elsevier TDM CC BY NC ND |
| Prístupové číslo: | edsair.doi.dedup.....a4c5fe05940c2123f2c62c738f2d287d |
| Databáza: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstrakt: | This work was funded by the European Research Council (project GA 335910 VeWa). M. Maneta acknowledges support from the U.S National Science Foundation (project GSS 1461576) and U.S National Science Foundation EPSCoR Cooperative Agreement #EPS1101342. All model runs were performed using the High Performance Computing (HPC) cluster of the University of Aberdeen, and the IT Service is thanked for its help in installing PCRaster and other libraries necessary to run EcH2O and post-processing Python routines on the HPC cluster. Finally, the authors are grateful to the many people who have been involved in establishing and continuing data collection at the Bruntland Burn, particularly Christian Birkel, Maria Blumstock, Jon Dick, Josie Geris, Konrad Piegat, Claire Tunaley, and Hailong Wang. |
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| ISSN: | 13648152 |
| DOI: | 10.1016/j.envsoft.2018.01.001 |