January 7, 2019
Journal Article

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.

Revised: April 29, 2020 | Published: January 7, 2019

Citation

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