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Research Center for Climate Change (RCCC) Lembaga Penelitian dan Pengabdian Masyarakat (LP2M) Universitas Negeri Padang Jl. Prof. Dr. Hamka Air Tawar Padang
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Journal of Climate Change Society
Published by Universitas Negeri Padang
ISSN : -     EISSN : 30249961     DOI : https://doi.org/10.24036/jccs/Vol1-iss1
Core Subject : Humanities, Science, Social, Engineering,
Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Earth & Planetary Sciences Electrical & Electronics Engineering Environmental Science Physics Social Sciences
Journal of Climate Change Society (JCCS) memiliki fokus dengan multidisiplin ilmu dan bidang kajian antara lain: Klimatologi, Ekologi, Mikrobiologi, Energi Terbarukan, Sumber Daya Air, Pertanian, Perikanan, Kesehatan, Komunikasi, Kelautan, Kehutanan, Sosiologi dan lain sebagainya.
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 34 Documents
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Understanding the Characteristics of 1996 Extreme Rainfall and Its Association with a Megalandslide in Podi Watershed, Central Sulawesi, Indonesia Djuraini, Moh. Fahry
Journal of Climate Change Society Vol. 3 No. 2 (2025)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jccs/Vol3-iss2/60

Abstract

The 1996 Podi megalandslide in Central Sulawesi, Indonesia, occurred in a remote tropical watershed with limited data, causing severe geomorphic disturbance. Using Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and post-event Landsat 5 imagery, this study reconstructs the hydrometeorological sequence preceding the event. Rainfall extreme indices from ETCCDI were analyzed to examine intensity, duration, and temporal distribution. Results reveal that September 1996 experienced prolonged dryness (Rx5day: 65 mm; Rx1day: 35–40 mm), which likely desiccated soils and reduced root–soil cohesion in the limestone–ophiolite terrain. In early October, rainfall intensified sharply (Rx5day: 216 mm; Rx1day: 113 mm), persisting until mid-November. The temporal overlap of antecedent dryness, intense rainfall, and fragile geology indicates a compound triggering mechanism. This study highlights how rainfall extremes contributed to slope failure in tropical montane watersheds and emphasizes the need for early warning frameworks integrating satellite-based rainfall and geological susceptibility in remote data-scarce regions.
Analysis of Vertical Atmospheric Structure on the Formation of Convective Clouds and Heavy Rainfall in Padang Pariaman Maharani, Trimike; Sudiar, Nofi Yendri; Amir, Harman; Zulhendra
Journal of Climate Change Society Vol. 3 No. 2 (2025)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jccs/Vol3-iss2/63

Abstract

Padang Pariaman is one of the regions in West Sumatera that is highly vulnerable to hydrometeorogical disasters, particularly flooding caused by heavy rainfall. This study aims to analyze the influence of vertical atmospheric structure on the formation of convective clouds and heavy rainfall in the area. The data used include radiosonde observations and synoptic data from the Minangkabau Meteorological Station, as well as five atmospheric stability indices: Showalter Index (SI), K-Index (KI), Lifted Index (LI), Convective Available Potential Energy (CAPE), and Precipitable Water (PW). The study was conducted over one year, divided into four seasonal periods (DJF, MAM, JJA, SON). Multiple linear regression and correlation analysis were applied to evaluate the relationship between atmospheric indices and the occurrence of convective clouds and heavy rainfall. The results show that atmospheric instability generally increases during the DJF and MAM periods, as indicated by negative values of SI and LI, along with high values of CAPE and PW. These conditions support the development of Cumulonimbus clouds, which have the potential to produce heavy rainfall. Correlation analysis revealed a strong relationship between several stability indices—particularly CAPE and PW—and rainfall intensity. These findings suggest that analyzing vertical atmospheric structure using radiosonde data and RAOB indices can serve as an important early indicator in forecasting extreme weather events in Padang Pariaman.
Determining Rainfall Thresholds of Landslide Events for Sumatra Islands Perdinan; Sugiarto, Yon; Dasanto , Bambang Dwi; Rachmat, Raynaldi; Andarini Putri, Ayu Arista
Journal of Climate Change Society Vol. 3 No. 2 (2025)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jccs/Vol3-iss2/67

Abstract

Extreme weather can trigger a number of meteorological disasters such as landslides. This disaster may cause serious losses on livelihoods and hamper the growth of economy or development targets. This research focuses on determining a threshold triggering landslide events. Rainfall is considered as one of the common factor contributing to the landslide occurrence. The rainfall intensity as the trigger for landslides can be determined using a series of statistical methods. The threshold determination is performed using statistical techniques composed of Cumulative Rainfall Threshold (CT) and sorting analysis, dummy regression, cluster analysis, and change detection method. The methods are applied to determine the thresholds for landslides occurring in Sumatra Islands for the period of 2010-2017 retrieved from the website Data Informasi Bencana Indonesia managed by Badan Nasional Penanggulangan Bencana (DIBI BNPB). We evaluated daily rainfall data for the period of 2010-2017 compiled for 10 climate stations operated by Bureau Meteorology, Climatology, and Geophysics named in Bahasa Indonesia Badan Meteorologi, Klimatologi, dan Geofisika that are accessible for the Sumatra Island. The analyses suggest that the rainfall thresholds that should be monitored for detecting the potential occurrences of landslides in the study area are 15 mm per day, 30 mm per day, dan 65 mm per day. These values can be seen as warnings at different levels with the largest value, i.e., 65 mm, indicated higher confidence for the landslide event to occur. In other words, these values represent different levels of alert for the landslide occurrence that provide inputs for designing strategies of disaster prevention to mitigate the adverse impacts of landslide disaster.
Atmospheric Physics Approach in Climate Insurance Index Design: A Systematic Literature Review Fitria, Yuli
Journal of Climate Change Society Vol. 3 No. 2 (2025)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jccs/Vol3-iss2/69

Abstract

Abstract:Climate insurance is an increasingly essential adaptation instrument as the frequency and intensity of hydrometeorological hazards escalate under global climate change. The effectiveness of index-based climate insurance depends heavily on accurate risk assessments derived from atmospheric physics variables, climate prediction models, and satellite-based observational data. This study presents a Systematic Literature Review (SLR) of 30 primary studies indexed in Scopus, Web of Science, Springer, MDPI, and Sinta (2021–2025) to examine methodological advances in designing index-based climate insurance. The findings show that atmospheric parameters such as extreme rainfall, maximum temperature, drought indices (SPI/SPEI), vapour pressure deficit (VPD), soil moisture, and wind speed are the most reliable indicators for detecting flood, drought, heatwave, and storm risks. Climate and weather models (WRF, RCM, CMIP) demonstrate strong capability in representing climate patterns and extreme events, especially after downscaling and bias correction. Additionally, satellite products such as GPM, TRMM, MODIS, and SMAP play a crucial role in improving observational accuracy, particularly in data-scarce regions. The integration of physical parameters, climate prediction models, and high-resolution satellite data enables objective, measurable, and transparent threshold setting (trigger index) for index-based insurance design. Overall, this SLR confirms that atmospheric physics and advanced observational systems significantly enhance the precision of climate insurance schemes, supporting disaster risk mitigation, economic resilience, and evidence-based climate adaptation planning.

Page 4 of 4 | Total Record : 34

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