Large-sample hydrology: recent progress, guidelines for new datasets and grand challenges-Reference-Cited by-同舟云学术

Large-sample hydrology: recent progress, guidelines for new datasets and grand challenges

Published:2019-12-03 Issue:5 Volume:65 Page:712-725
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Addor Nans¹^ORCID,Do Hong X.²³⁴,Alvarez-Garreton Camila⁵⁶,Coxon Gemma⁷,Fowler Keirnan⁸,Mendoza Pablo A.⁹¹⁰

Affiliation:

1. Climatic Research Unit, School of Environmental Sciences, University of East Anglia, Norwich, UK

2. School of Civil, Environmental and Mining Engineering, University of Adelaide, Adelaide, Australia

3. Faculty of Environment and Natural Resources, Nong Lam University, Ho Chi Minh City, Vietnam

4. School for Environment and Sustainability, University of Michigan, Ann Arbor, MI, USA

5. Instituto de Conservación, Biodiversidad y Territorio, Universidad Austral de Chile, Valdivia, Chile

6. Center for Climate and Resilience Research, Santiago, Chile

7. School of Geographical Sciences, University of Bristol, Bristol, UK

8. Department of Infrastructure Engineering, University of Melbourne, Parkville, Australia

9. Department of Civil Engineering, Universidad de Chile, Santiago, Chile

10. Advanced Mining Technology Center, Universidad de Chile, Santiago, Chile

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2019.1683182

Reference128 articles.

1. The CAMELS data set: catchment attributes and meteorology for large-sample studies

2. A Ranking of Hydrological Signatures Based on Their Predictability in Space

3. The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset

4. The Impacts of Native Forests and Forest Plantations on Water Supply in Chile

5. Andréassian, V. et al. 2006a. Introduction and synthesis : why should hydrologists work on a large number of basin data sets ? Large sample basin experiments for hydrological model parameterization: results of the Model Parameter Experiment–MOPEX. Vol. 307. CEH Wallingford, UK: IAHS Publ, 1–5.

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