| Issue |
E3S Web Conf.
Volume 153, 2020
International Conference on Sustainability Science and Management: Advanced Technology in Environmental Research (CORECT-IJJSS 2019)
|
|
|---|---|---|
| Article Number | 02001 | |
| Number of page(s) | 12 | |
| Section | Environmental Sciences | |
| DOI | https://doi.org/10.1051/e3sconf/202015302001 | |
| Published online | 17 February 2020 | |
An assessment of IMERG rainfall products over Bali at multiple time scale
1 The Agency for Meteorology, Climatology, and Geophysics of the Republic of Indonesia (BMKG), Jalan Leli No. 9 BB Agung, Negara, Bali 82212, Indonesia
2 Environmental Research Center (PPLH), Udayana University, PB Sudirman Street, Denpasar, Bali, Indonesia
3 Center for Remote Sensing and Ocean Sciences (CReSOS) Udayana University, Indonesia
4 Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Japan
* Corresponding author: andiyudaiwayan@gmail.com
Evaluation of first five years of the Global Precipitation Measurement - Integrated Multi-satellitE Retrievals for GPM (IMERG) final preciptitation product was performed over Bali – Indonesia using surface observation data which derived from The Agency for Meteorology, Climatology, and Geophysics of the Republic of Indonesia (BMKG) as a reference. This study evaluated IMERG’s performance in describing the temporal characteristics of rainfall variation over various time periods (including daily, monthly, and seasonal). The analysis concentrated on the period of April 2014 to April 2019. The results of statistical measurements consisted Probability of Detection (POD), linear correction coefficient (r), Mean Bias Error (MBE), and Root Mean Square Error (RMSE). In general, the results showed that IMERG rainfall estimation value was lower than rain gauges data. The statistical assesment indicated IMERG data was highly accurate on monthly to seasonal timescales. However, a moderate correlation was shown between the daily data comparison from IMERG to ground references. IMERG Performed better in wet season period (November -April) than in dry season period (May – Oktober). The probability of detection rain events on daily time scale was good. Overall, data from IMERG has the potential to be useful as a complement to rain gauge data in areas where rainfall observations are not available in the field.
© The Authors, published by EDP Sciences, 2020
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.