A Global Hydrologic Framework to Accelerate Scientific Discovery. Issue 1 (7th January 2019)

• Record Type: Journal Article
• Authors: Vernon, Chris R.; Hejazi, Mohamad I.; Turner, Sean W. D.; Liu, Yaling; Braun, Caleb J.; Li, Xinya; Link, Robert P.
• Is Part Of: Journal of open research software. Volume 7:Issue 1(2019)
• Publication Date: 2019-01-07
• Subjects: Python -- SciPy -- Global Hydrology -- Hydrologic Framework -- Xanthos -- Runoff -- River Routing -- Potential Evapotranspiration; Computer software -- Reusability -- Periodicals; Open source software -- Periodicals; 005
• DOI: 10.5334/jors.245
• Languages: English
• ISSNs: 2049-9647

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.