Elevation-based bias correction of chirps and GSMAP rainfall in northwest vietnam (2000–2024): application to climate-resilient transport infrastructure management

  • Doan Thi Noi

    Faculty of Civil Engineering, University of Transport and Communications, No 3 Cau Giay Street, Hanoi, Vietnam

  • Nguyen Hoang Son

    Faculty of Water Resources Engineering, ThuyLoi University, No 175 Tay Son Street, Hanoi, Vietnam

  • Tran Thu Phuong

    Faculty of Civil Engineering, University of Transport and Communications, No 3 Cau Giay Street, Hanoi, Vietnam
DOI: https://doi.org/10.47869/tcsj.77.1.9
Email: dtnoi@utc.edu.vn
Từ khóa: Satellite rainfall products, CHIRPS, GSMaP, Ground-based observations, Elevation- based correction, Flood and landslide hazard, Mountainous regions, Climate-resilient transport

Tóm tắt

Reliable rainfall data are essential for hydrological modelling and infrastructure planning, particularly in mountainous regions where gauge networks are sparse and climate risks are growing. Satellite rainfall products such as Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) and Global Satellite Mapping of Precipitation (GSMaP) have been increasingly applied worldwide, yet their performance in complex terrains remains uncertain. This study evaluates CHIRPS and GSMaP against daily observations from 11 meteorological stations in Northwest Vietnam during 2000–2024 and applies an elevation-based bias correction. Statistical analyses were used to compare accuracy, including RMSE and correlation, and performance maps were generated to reveal spatial error patterns. The results show that CHIRPS achieved lower RMSE but tended to underestimate rainfall at high-elevation stations, while GSMaP yielded slightly higher correlations (R² ≈ 0.74–0.81) but often overestimated rainfall in mid-elevation valleys. Elevation-based correction reduced RMSE, narrowed bias spread across the network, and produced notable improvements at upland sites. These corrected datasets enhance reliability for hydrological simulations and flood risk assessment, especially along National Highway 6, where landslides and flash floods frequently disrupt traffic. Overall, the findings demonstrate the practical value of integrating satellite rainfall with ground observations to supplement precipitation information in ungauged regions, supporting safer and climate-resilient transport infrastructure in mountainous areas

Tài liệu tham khảo

[1]. F. Satgé, D. Ruelland, M. P. Bonnet, J. Molina, R. Pillco, J. E. Paturel, Evaluation of satellite rainfall products over data-scarce regions: a review, Remote Sensing, 12 (17) (2020) 2766. https://doi.org/10.3390/rs12172766
[2]. D. T. Noi, N. T. Thanh, Bias-corrected IDF curves from satellite-based rainfall for Hoa Binh Province, Vietnam, Asian Journal of Water, Environment and Pollution, 19 (2022) 1–9. https://doi.org/10.3233/AJW220065
[3]. L. Bai, C. Shi, L. Li, Y. Yang, J. Wu, Accuracy of CHIRPS satellite-rainfall products over mainland China, Remote Sensing, 10 (2018) 362. https://doi.org/10.3390/rs10030362
[4]. X. Wu, Y. Zhang, J. Li, Assessment and data fusion of satellite-based precipitation estimation in ungauged areas: evaluating multiple SPEs using triple collocation in the Tibetan Plateau, Remote Sensing, 15 (2023) 4210. https://doi.org/10.3390/rs15174210
[5]. M. S. Nashwan, S. Shahid, A. Dewan, T. Ismail, N. Alias, Performance of five high-resolution satellite-based precipitation products in arid region of Egypt: an evaluation, Atmospheric Research, 104809 (2020). https://doi.org/10.1016/j.atmosres.2019.104809
[6]. T. H. Pham-Thi, J. Matsumoto, M. I. Nodzu, Evaluation of the Global Satellite Mapping of Precipitation (GSMaP) data on sub-daily rainfall patterns in Vietnam, Vietnam Journal of Earth Sciences, 44 (2022) 33–54. https://doi.org/10.15625/2615-9783/16594
[7]. J. Bagiliko, D. Stern, D. Ndanguza, F. F. Torgbor, Validation of satellite and reanalysis rainfall products in Ghana and Zambia, Theoretical and Applied Climatology, (2025) 1–17. https://doi.org/10.1007/s00704-025-05462-7
[8]. M. Masood, A. S. Shakir, H. U. Rehman, Evaluation of satellite precipitation products for estimation of floods in data-scarce environment, Advances in Meteorology, (2023) 1685720. https://doi.org/10.1155/2023/1685720
[9]. T. S. Nguyen, N. T. Thanh, Satellite- and gauge-based precipitation dataset assessment in Thua Thien Hue (Vietnam), Bulletin of Geography, Physical Geography Series, 28 (2025) 1–12. https://doi.org/10.12775/bgeo-2025-0005
[10]. R. Ramadhan, M. Marzuki, H. Yusnaini, et al., A preliminary assessment of the GSMaP version 08 products over the Indonesian Maritime Continent against gauge data, Remote Sensing, 15 (2023) 1115. https://doi.org/10.3390/rs15041115
[11]. World Administrative Boundaries dataset, https://public.opendatasoft.com/explore/dataset/world-administrative-boundaries/export/ (accessed 30 November 2025).

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Chưa có dữ liệu thống kê
Elevation-based bias correction of chirps and GSMAP rainfall in northwest vietnam (2000–2024): application to climate-resilient transport infrastructure management
Nhận bài
28/08/2025
Nhận bài sửa
20/10/2025
Chấp nhận đăng
12/01/2026
Xuất bản
15/01/2026
Chuyên mục
Công trình khoa học
Kiểu trích dẫn
Doan Thi, N., Nguyen Hoang, S., & Tran Thu, P. (1768410000). Elevation-based bias correction of chirps and GSMAP rainfall in northwest vietnam (2000–2024): application to climate-resilient transport infrastructure management. Tạp Chí Khoa Học Giao Thông Vận Tải, 77(1), 112-126. https://doi.org/10.47869/tcsj.77.1.9

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