Sentinel-5P Data Pipeline: Acquisition, Processing, and Analysis for Global Atmospheric Monitoring
Research Student, Department of Statistics, Institute of Science, Civil Lines, Nagpur, Maharashtra, India 440001.
Research Article
Open Access Research Journal of Science and Technology, 2026, 16(01), 031-038.
Article DOI: 10.53022/oarjst.2026.16.1.0007
Publication history:
Received on 20 December 2025; revised on 28 January 2026; accepted on 30 January 2026
Abstract:
Global atmospheric monitoring requires integrated workflows that transform raw satellite observations into actionable environmental intelligence. The Sentinel-5 Precursor (S5P) satellite mission, equipped with the TROPOspheric Monitoring Instrument (TROPOMI), provides unprecedented global coverage of atmospheric trace gases at high spatial and temporal resolution. However, the complexity of satellite data acquisition, preprocessing, quality control, and analytical processing presents substantial barriers to effective utilization, particularly for researchers in resource-constrained environments. This paper presents a comprehensive end-to-end data pipeline for Sentinel-5P atmospheric monitoring, encompassing automated data acquisition through Application Programming Interfaces (APIs), systematic preprocessing workflows, rigorous quality assurance procedures, integration with auxiliary meteorological datasets, advanced analytical techniques, and validation methodologies. The pipeline architecture emphasizes modularity, reproducibility, and scalability, enabling researchers to process multi-year datasets across multiple pollutant species including nitrogen dioxide (NO₂), sulfur dioxide (SO₂), carbon monoxide (CO), and ozone (O₃). Specific focus is given to automation strategies that minimize manual intervention, error handling mechanisms that ensure data integrity, and computational optimization techniques that enable processing on standard research computing infrastructure. The framework leverages open-source tools including Python scientific libraries, cloud-based data access systems, and modern data engineering practices to democratize access to satellite-based atmospheric monitoring capabilities. By providing detailed technical specifications, implementation guidance, and best practices, this pipeline enables the global research community to harness Sentinel-5P data for air quality assessment, emission monitoring, atmospheric chemistry research, and policy-relevant environmental analysis[1][2][3].
Keywords:
Sentinel-5P; TROPOMI; Data pipeline; Atmospheric monitoring; Automated processing; Quality assurance; Satellite data analysis; Air pollution
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Copyright © 2026 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0