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A Global Hydrologic Framework to Accelerate Scientific Discovery

Journal Article · · Journal of Open Research Software
DOI:https://doi.org/10.5334/jors.245· OSTI ID:1489899
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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.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC05-76RL01830
OSTI ID:
1489899
Report Number(s):
PNNL-SA-137438
Journal Information:
Journal of Open Research Software, Vol. 7, Issue 1; ISSN 2049-9647
Publisher:
Software Sustainability Institute
Country of Publication:
United States
Language:
English

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Related Subjects

GCAM
Xanthos
global hydrology
modeling