Efficient Model-data Integration for Flexible Modeling, Parameter Analysis & Visualization, and Data Management

Authors

Angela Gregory, University of New Mexico
Chao Chen, University of Nevada, Las Vegas
Rui Wi, East Carolina University
Sarah Miller, New Mexico Institute of Mining and Technology
Sajjad Ahmad, University of Nevada, Las VegasFollow
John W. Anderson, University of Idaho
Hays Berrett, University of New Mexico
Karl Benedict, University of New Mexico
Dan Cadol, New Mexico Institute of Mining and Technology
Sergiu M. Dascalu, University of Nevada, Reno
Donna Delparte, Idaho State University
Lynn Fenstermaker, Desert Research Institute
Sarah Godsey, Idaho State University
Frederick C. Harris Jr., University of Nevada, Reno
James P. McNamara, Boise State University
Scott W. Tyler, University of Nevada, Reno
John Savickas, University of New Mexico
Luke Sheneman, University of Idaho
Mark Stone, University of New Mexico
Matthew A. Turner, University of California, Merced

Document Type

Article

Publication Date

3-17-2020

Publication Title

Frontiers in Water

Volume

2

Issue

2

First page number:

1

Last page number:

21

Abstract

Due to the complexity and heterogeneity inherent to the hydrologic cycle, the modeling of physical water processes has historically and inevitably been characterized by a broad spectrum of disciplines including data management, visualization, and statistical analyses. This is further complicated by the sub-disciplines within the water science community, where specific aspects of water processes are modeled independently with simplification and model boundary integration receiving little attention. This can hinder current and future research efforts to understand, explore, and advance water science. We developed the Virtual Watershed Platform to improve understanding of hydrologic processes and more generally streamline model-data integration and data integration with tools for data visualization, analysis, and management. Currently, four models have been developed as components and integrated into the overall platform, demonstrating data prepossessing (e.g., sub gridding), data interaction, model execution, and visualization capabilities. The developed data management technologies provide a suite of capabilities, enabling diverse computation capabilities, data storage capacity, connectivity, and accessibility. The developed Virtual Watershed Platform explored the use of virtual reality and 3D visualization for scientific experimentation and learning, provided web services for the transfer of data between models and centralized data storage, enabled the statistical distribution of hydrometeorological model input, and coupled models using multiple methods, both to each other and to a distributed data management and visualization system.

Keywords

Data management; Model integration; Hydrologic modeling; Watershed; Web services; Model coupling; Data visualization

Disciplines

Computational Engineering | Computer Sciences | Data Science

Language

English

Repository Citation

Gregory, A., Chen, C., Wi, R., Miller, S., Ahmad, S., Anderson, J. W., Berrett, H., Benedict, K., Cadol, D., Dascalu, S. M., Delparte, D., Fenstermaker, L., Godsey, S., Harris Jr., F. C., McNamara, J. P., Tyler, S. W., Savickas, J., Sheneman, L., Stone, M., Turner, M. A. (2020). Efficient Model-data Integration for Flexible Modeling, Parameter Analysis & Visualization, and Data Management. Frontiers in Water, 2(2), 1-21.
http://dx.doi.org/10.3389/frwa.2020.00002