January 9, 2019
Journal Article

A Global Hydrologic Framework to Accelerate Scientific Discovery

Christopher Vernon
Mohamad Hejazi
Sean Turner
Yaling Liu
Caleb Braun
Xinya Li
Robert Link
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.

Revised: January 9, 2019 | Published: January 7, 2019

Vernon C.R., M.I. Hejazi, S. Turner, Y. Liu, C.J. Braun, X. Li, and R.P. Link. 2019. "A Global Hydrologic Framework to Accelerate Scientific Discovery." Journal of Open Research Software 7, no. 1:Article No. 1. PNNL-SA-137438. doi:10.5334/jors.245