Streamflow prediction under extreme data scarcity: a step toward hydrologic process understanding within severely data-limited regions-Reference-Cited by-同舟云学术

Streamflow prediction under extreme data scarcity: a step toward hydrologic process understanding within severely data-limited regions

Published:2019-06-13 Issue:9 Volume:64 Page:1038-1055
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Alipour M. H.¹^ORCID,Kibler Kelly M.¹

Affiliation:

1. Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2019.1626991

Reference74 articles.

1. A framework for streamflow prediction in the world’s most severely data-limited regions: Test of applicability and performance in a poorly-gauged region of China

2. Multi-model averaging for continuous streamflow prediction in ungauged basins

3. Batjes, N.H., 2015. World soil property estimates for broad-scale modelling (WISE30sec, Ver. 1.0). Report 2015/01, ISRIC—World Soil Information. Wageningen. Available from: http://www.isric.org/data/data-download [Accessed 10 November 2016].

4. Prophecy, reality and uncertainty in distributed hydrological modelling

5. A manifesto for the equifinality thesis

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