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Title: Xanthos – A Global Hydrologic Model

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.

Authors:
ORCiD logo [1];  [1];  [2];  [2];  [2];  [2];  [1]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. Pacific Northwest National Lab. (PNNL), College Park, MD (United States). Joint Global Change Research Institute
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1390431
Report Number(s):
PNNL-SA-126584
Journal ID: ISSN 2049-9647; KP1703030
Grant/Contract Number:
AC05-76RL01830
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Journal of Open Research Software
Additional Journal Information:
Journal Volume: 5; Journal Issue: 1; Journal ID: ISSN 2049-9647
Publisher:
Software Sustainability Institute
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; 97 MATHEMATICS AND COMPUTING; hydrology; global; climate change impacts; model and simulation

Citation Formats

Li, Xinya, Vernon, Chris R., Hejazi, Mohamad I., Link, Robert P., Feng, Leyang, Liu, Yaling, and Rauchenstein, Lynn T.. Xanthos – A Global Hydrologic Model. United States: N. p., 2017. Web. doi:10.5334/jors.181.
Li, Xinya, Vernon, Chris R., Hejazi, Mohamad I., Link, Robert P., Feng, Leyang, Liu, Yaling, & Rauchenstein, Lynn T.. Xanthos – A Global Hydrologic Model. United States. doi:10.5334/jors.181.
Li, Xinya, Vernon, Chris R., Hejazi, Mohamad I., Link, Robert P., Feng, Leyang, Liu, Yaling, and Rauchenstein, Lynn T.. Mon . "Xanthos – A Global Hydrologic Model". United States. doi:10.5334/jors.181. https://www.osti.gov/servlets/purl/1390431.
@article{osti_1390431,
title = {Xanthos – A Global Hydrologic Model},
author = {Li, Xinya and Vernon, Chris R. and Hejazi, Mohamad I. and Link, Robert P. and Feng, Leyang and Liu, Yaling and Rauchenstein, Lynn T.},
abstractNote = {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.},
doi = {10.5334/jors.181},
journal = {Journal of Open Research Software},
number = 1,
volume = 5,
place = {United States},
year = {Mon Sep 11 00:00:00 EDT 2017},
month = {Mon Sep 11 00:00:00 EDT 2017}
}

Journal Article:
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