Issue |
BIO Web Conf.
Volume 73, 2023
5th International Conference on Tropical Resources and Sustainable Sciences (CTReSS 5.0 2023)
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Article Number | 05026 | |
Number of page(s) | 7 | |
Section | Sustainability and Technology | |
DOI | https://doi.org/10.1051/bioconf/20237305026 | |
Published online | 08 November 2023 |
Preliminary assessment on climatological conditions in Royal Belum-Temenggor Rainforest Complex, Malaysia using MERRA-2 reanalysis datasets
1 Faculty of Earth Science, Universiti Malaysia Kelantan Jeli Campus, 17600, Jeli, Kelantan
2 Institute for Artificial Intelligence and Big Data, Universiti Malaysia Kelantan City Campus, Pengkalan Chepa, 16100 Kota Bharu, Kelantan
3 UMK-Tropical Rainforest Research Centre (UMK-TRaCe), Faculty of Earth Science, Pulau Banding, 33000 Gerik, Perak
* Corresponding author: marieanne@umk.edu.my
Royal Belum-Temenggor Rainforest Complex (RBTRC) is renowned as one of the world’s oldest tropical rainforests and biodiversity hotspots. Its extensive forest coverage serves as a crucial carbon sink that stock more than 185 Mg ha-1 carbon, thereby playing a crucial role in regulating Earth’s temperature. Despite its significance as a major carbon sink and biodiversity ecosystem, studies on RBTRC have been limited primarily to biological and ecological studies. Baseline climate studies for this region are non-existent to-date. Baseline climate assessment is crucial for assessments of future climate change impact in this region. This study fills this critical research gap by investigating the climatological trends of annual-averaged temperature, surface pressure, specific humidity, wind speed and rainfall in RBTRC from 1991 to 2020 using the Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2) reanalysis dataset. All atmospheric variables exhibit a normal distribution, and increasing trends are observed for all variables except for windspeed. Pearson’s correlations indicate positive correlation between pressure and temperature (0.5), specific humidity and rainfall (0.45), and negative correlation in pressure and rainfall (-0.59), specific humidity and windspeed (-0.55), and temperature and windspeed (-0.42). This complements the fundamental physical laws, indicating the reliability of the MERRA-2 reanalysis datasets for further climatological evaluation.
© 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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