Yaseen (2026) The legacy and implications of cyberinfrastructure systems in hydrological process modeling

Identification

• Journal: Acta Geophysica
• Year: 2026
• Date: 2026-03-29
• Authors: Zaher Mundher Yaseen
• DOI: 10.1007/s11600-026-01852-1

Research Groups

• Civil and Environmental Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia
• Interdisciplinary Research Centre for Membranes and Water Security, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia

Short Summary

This communication discusses the critical components, challenges, and solutions for effective cyberinfrastructure (CI) systems in hydrological process modeling, emphasizing data quality, integration, accessibility, sustainability, ethics, and human capacity. It advocates for strategic guides to enhance CI utility and trustworthiness in hydrological engineering.

Objective

• To understand the applicability and implications of cyberinfrastructure (CI) systems in hydrological processes modeling by identifying and discussing the main components that make CI systems feasible and trustworthy.
• To highlight key challenges and advocate for possible solutions and strategic guides for better CI utility in hydrological process modeling.

Study Configuration

• Spatial Scale: Conceptual, focusing on general principles and applications of cyberinfrastructure in hydrological processes, with examples often referencing watershed-level management.
• Temporal Scale: Conceptual, discussing the current state, legacy, and future implications of cyberinfrastructure systems, without focusing on a specific historical or future time period for data analysis.

Methodology and Data

• Models used: This paper is a communication/review and does not present new model applications. It discusses the integration of various hydrological models (e.g., SWAT, HEC-HMS, MIKE SHE, WRF-Hydro) within CI systems.
• Data sources: This paper is a communication/review and does not use new data. It discusses the integration of diverse data sources (e.g., satellites, drones, rain/stream gauges, soil sensors, site observations, remote sensing, historical data) within CI systems.

Main Results

• The paper identifies six critical concerns for cyberinfrastructure (CI) systems in hydrological process modeling: (i) data quality and reliability; (ii) data integration, interoperability, scalability, and performance; (iii) sustainability and multidisciplinary aspects; (iv) data accessibility and sharing; (v) data trust, ethics, and privacy issues; and (vi) human and institutional capacity.
• It discusses how modern CI technologies support automated quality control, uncertainty determination, and transparent data provenance, addressing data quality challenges.
• It highlights that standardization, interoperable platforms, and cloud-based computing are progressively addressing data integration, interoperability, scalability, and performance challenges.
• CI is shown to facilitate integration across hydrology, climate, ecology, and socio-environmental systems, enhancing the relevance of hydrological models for decision-making.
• Open and federated data architectures are proposed to manage data accessibility, while governance and secure design principles are emphasized for ethical, trust, and privacy concerns.
• The importance of sustained training, collaboration, and long-term investment is underscored for human and institutional capacity building.

Contributions

• Provides a comprehensive synthesis and critical discussion of the legacy, current challenges, and future implications of cyberinfrastructure (CI) systems in hydrological process modeling.
• Identifies and categorizes six key areas of concern (data quality, integration, sustainability, accessibility, trust, and human capacity) that are crucial for the effective deployment of CI in hydrology.
• Advocates for specific solutions and strategic guides to enhance the feasibility, trustworthiness, and utility of CI systems, offering a roadmap for researchers, developers, and engineers.
• Emphasizes the role of CI as a critical enabler for robust, adaptive, and transparent hydrological process modeling, contributing to open science and sustainable water resource management.

Funding

• Support from the Civil and Environmental Engineering Department, King Fahd University of Petroleum & Minerals, Saudi Arabia.

Citation

@article{Yaseen2026legacy,
  author = {Yaseen, Zaher Mundher},
  title = {The legacy and implications of cyberinfrastructure systems in hydrological process modeling},
  journal = {Acta Geophysica},
  year = {2026},
  doi = {10.1007/s11600-026-01852-1},
  url = {https://doi.org/10.1007/s11600-026-01852-1}
}