Largesample hydrology to foster open and collaborative research
Large-sample hydrology to foster open and collaborative research: a review of recent progress and grand challenges Gemma Coxon, Nans Addor, Camila Alvarez-Garreton, Hong Do, Keirnan Fowler and Pablo Mendoza
Large-sample hydrology relies on data from large sets (tens to thousands) of catchments to go beyond individual case studies and derive robust conclusions on hydrological processes and models
Lots of large-sample datasets are publicly available, enabling more transparent and collaborative research. CAMELS-GB CAMELS-BR
So many datasets! Where should I start as new user? Our review paper will help you to find the dataset(s) that work best for your study and gives guidance on developing new datasets
These datasets offer novel opportunities to advance our understanding of hydrological processes and to make hydrology more open: -� Using common datasets increases the comparability of individual studies and our ability to learn from their combined results. - These publicly available and well-documented data sets make hydrological research more reusable and reproducible. - The datasets are community resources and grassroots initiatives users are producing extensions and making them available. However, there are currently a number of challenges: i) lack of common standards, ii) lack of metadata and uncertainty estimates, iii) human interventions are rarely characterised, iv) datasets are rarely FAIR (Finable, Accessible, Interoperable and Reusable).
We propose simple guidelines to overcome these challenges, standardise and automatise the creation of datasets worldwide: Addor et al (2019)
Outlook This research was performed as part of the Panta Rhei Working Group on large-sample hydrology. If you are interested in making hydrology more reproducible and collaborative using large-sample hydrology, get in touch via gemma. coxon@bristol. ac. uk and N. Addor@exeter. ac. uk. And consider attending our zoom splinter meeting at 4 pm (Vienna time) on May 5, 2020 (email us for the details).
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