| Issue |
E3S Web Conf.
Volume 445, 2023
The 4th International Conference on Green Civil and Environmental Engineering (GCEE 2023)
|
|
|---|---|---|
| Article Number | 01020 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/e3sconf/202344501020 | |
| Published online | 14 November 2023 | |
The Quantitative Comparison of Grid Re-analysis Rainfall Products, Satellite Rainfall Products, and Hourly Rainfall Gauge Observation over Bali Province
1 Department of Civil Engineering, Warmadewa University, Bali 80235, Indonesia
2 Master Program of Infrastructure and Environmental Engineering, Warmadewa University, Bali 80235, Indonesia
3 Department of Physics, College of Science, Bicol University, Legazpi City 4500, Philippines
4 Department of Atmospheric Sciences, National Central University, Taoyuan 32001, Taiwan
* Corresponding author: aryastanaputu@yahoo.com
Grid re-analysis and satellite-based rainfall products offers a means of estimating rainfall information at both regional and worldwide level. Numerous rainfall estimates are accessible, each varying in terms of the retrieval algorithm, sensor instrumentation, spatial-temporal resolution, and geographical coverage. The objective of this research was to assess the accuracy of grid re-analysis precipitation dataset (ERA-5) and the satellite-derived rainfall dataset (IMERG) when compared to hourly rain gauge observations in Bali Province during the period spanning 2017 to 2020. To assess grid-based datasets, conventional point-to-pixel comparison methods, along with statistical metrics in the forms of continuous, categorical, and volumetric measurements. The comparative findings illustrate that IMERG exhibits superior performance at sub-daily scales in accurately detecting volume, whereas ERA-5 demonstrates greater capability in identifying rainfall events. Both products display a tendency to overestimate the capture of low to moderate rainfall occurrences and for underestimating intense to exceptionally heavy rainfall occurrences. The IMERG product excels across various elevations.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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