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Xanthos – A Global Hydrologic Model Cover

Abstract

Xanthos is an open-source hydrologic model, written in Python, designed to quantify and analyse global water availability. Xanthos simulates historical and future global water availability on a monthly time step at a spatial resolution of 0.5 geographic degrees. Xanthos was designed to be extensible and used by scientists that study global water supply and work with the Global Change Assessment Model (GCAM). Xanthos uses a user-defined configuration file to specify model inputs, outputs and parameters. Xanthos has been tested using actual global data sets and the model is able to provide historical observations and future estimates of renewable freshwater resources in the form of total runoff.

 

Funding statement: PNNL is operated for DOE by Battelle Memorial Institute under contract DE-AC05-76RL01830.

DOI: https://doi.org/10.5334/jors.181 | Journal eISSN: 2049-9647
Language: English
Submitted on: Jun 2, 2017
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Accepted on: Aug 4, 2017
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Published on: Sep 11, 2017
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2017 Xinya Li, Chris R. Vernon, Mohamad I. Hejazi, Robert P. Link, Leyang Feng, Yaling Liu, Lynn T. Rauchenstein, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.