Evaluating Open-Source Satellite-Based Rainfall Estimation Models for Hydro-meteorological Studies in Chattogram Metropolitan Area

DOI

10.2991/978-94-6463-884-4_13How to use a DOI?

Keywords

Satellite-Based Rainfall Estimation; Hydro-meteorological; Statistical Parameterization; Multi-criteria Analysis; Water Resources Management

Abstract

Chattogram, a tropical, coastal, and hilly region in Bangladesh, experiences intense rainfall, emphasizing the need for accurate, near-real-time monitoring in hydro-meteorological studies. Satellite-Based Rainfall Estimation (SRE) models are widely used in hydrological analyses due to their broad spatial and temporal coverage. However, evaluating the accuracy of these models is essential for ensuring their reliability in specific regions like Chattogram. This study aims to assess open-source SRE models for the Chattogram Metropolitan Area (CMA) and identify the model with the best performance. The evaluation focuses on establishing a reliable rainfall data source for areas lacking ground-based observations. Eleven globally available SRE models were selected based on data availability and spatiotemporal resolution. Observed rainfall data from CMA stations (1980–2024), provided by the Bangladesh Water Development Board (BWDB), were used for model validation. The comparison of SRE and observed rainfall data was performed using four time-scale variables, with six statistical metrics applied to assess model performance. Multi-criteria analysis was conducted to identify the best-fitting SRE for capturing long-term rainfall trends. The results show that the GPM model outperformed others in tracking rainfall variability, while ERA5 performed well due to its extensive temporal coverage, making it suitable for historical trend analysis. The findings underscore the importance of data continuity in model validation, with high-resolution models like GPM proving to be reliable for hydrological applications, offering a dependable alternative rainfall data source for Chattogram’s hydro-meteorological studies.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Kazi Mushfique Mohib
AU  - Raisul Bari Shifat
AU  - Purnima Das
AU  - Tirtha Karmaker
AU  - Muhammad Junaid Bhuiyan
AU  - Asif Mohammed Zaman
PY  - 2025
DA  - 2025/11/18
TI  - Evaluating Open-Source Satellite-Based Rainfall Estimation Models for Hydro-meteorological Studies in Chattogram Metropolitan Area
BT  - Proceedings of the 8th International Conference on Engineering Research, Innovation, and Education 2025 (ICERIE 2025)
PB  - Atlantis Press
SP  - 102
EP  - 110
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-884-4_13
DO  - 10.2991/978-94-6463-884-4_13
ID  - Mohib2025
ER  -