Accepted author manuscript, 305 KB, PDF document
Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Final published version
Licence: CC BY: Creative Commons Attribution 4.0 International License
Research output: Contribution to Journal/Magazine › Journal article › peer-review
<mark>Journal publication date</mark> | 1/12/2019 |
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<mark>Journal</mark> | Hydrology Research |
Issue number | 6 |
Volume | 50 |
Number of pages | 14 |
Pages (from-to) | 1481-1494 |
Publication Status | Published |
<mark>Original language</mark> | English |
Event | 13th National Hydrology Symposium - Hydrology - Advances in Theory and Practice - London Duration: 12/09/2018 → 13/09/2018 |
Conference | 13th National Hydrology Symposium - Hydrology - Advances in Theory and Practice |
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City | London |
Period | 12/09/18 → 13/09/18 |
After some background about what I have learned from a career in hydrological modelling, I present some opinions about how we might make progress in improving hydrological models in future, including how to decide whether a model is fit for purpose; how to improve process representations in hydrological models; and how to take advantage of Models of Everywhere. Underlying all those issues, however, is the fundamental problem of improving the hydrological data available for both forcing and evaluating hydrological models. It would be a major advance if the hydrological community could come together to prioritise and commission the new observational methods that are required to make real progress.