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Title: A Global Hydrologic Framework to Accelerate Scientific Discovery

Abstract

With the ability to simulate historical and future global water availability on a monthly time step at a spatial resolution of 0.5 geographic degree, the Python package Xanthos version 1 provided a solid foundation for continuing advancements in global water dynamics science. The goal of Xanthos version 2 was to build upon previous investments by creating a Python framework where core components of the model (potential evapotranspiration (PET), runoff generation, and river routing) could be interchanged or extended without having to start from scratch. Xanthos 2 utilizes a component-style architecture which enables researchers to quickly incorporate and test cutting-edge research in a stable modeling environment prebuilt with diagnostics. Major advancements for Xanthos 2 were also achieved by the creation of a robust default configuration with a calibration module, hydropower modules, and new PET modules, which are now available to the scientific community.

Authors:
ORCiD logo; ; ORCiD logo; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1489899
Report Number(s):
PNNL-SA-137438
Journal ID: ISSN 2049-9647
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
Journal of Open Research Software
Additional Journal Information:
Journal Volume: 7; Journal Issue: 1; Journal ID: ISSN 2049-9647
Publisher:
Software Sustainability Institute
Country of Publication:
United States
Language:
English
Subject:
GCAM, Xanthos, global hydrology, modeling

Citation Formats

Vernon, Chris R., Hejazi, Mohamad I., Turner, Sean W. D., Liu, Yaling, Braun, Caleb J., Li, Xinya, and Link, Robert P. A Global Hydrologic Framework to Accelerate Scientific Discovery. United States: N. p., 2019. Web. doi:10.5334/jors.245.
Vernon, Chris R., Hejazi, Mohamad I., Turner, Sean W. D., Liu, Yaling, Braun, Caleb J., Li, Xinya, & Link, Robert P. A Global Hydrologic Framework to Accelerate Scientific Discovery. United States. doi:10.5334/jors.245.
Vernon, Chris R., Hejazi, Mohamad I., Turner, Sean W. D., Liu, Yaling, Braun, Caleb J., Li, Xinya, and Link, Robert P. Tue . "A Global Hydrologic Framework to Accelerate Scientific Discovery". United States. doi:10.5334/jors.245.
@article{osti_1489899,
title = {A Global Hydrologic Framework to Accelerate Scientific Discovery},
author = {Vernon, Chris R. and Hejazi, Mohamad I. and Turner, Sean W. D. and Liu, Yaling and Braun, Caleb J. and Li, Xinya and Link, Robert P.},
abstractNote = {With the ability to simulate historical and future global water availability on a monthly time step at a spatial resolution of 0.5 geographic degree, the Python package Xanthos version 1 provided a solid foundation for continuing advancements in global water dynamics science. The goal of Xanthos version 2 was to build upon previous investments by creating a Python framework where core components of the model (potential evapotranspiration (PET), runoff generation, and river routing) could be interchanged or extended without having to start from scratch. Xanthos 2 utilizes a component-style architecture which enables researchers to quickly incorporate and test cutting-edge research in a stable modeling environment prebuilt with diagnostics. Major advancements for Xanthos 2 were also achieved by the creation of a robust default configuration with a calibration module, hydropower modules, and new PET modules, which are now available to the scientific community.},
doi = {10.5334/jors.245},
journal = {Journal of Open Research Software},
issn = {2049-9647},
number = 1,
volume = 7,
place = {United States},
year = {2019},
month = {1}
}