Article Per Year (5 Year)
p-Index From 2021 - 2026
1.554
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Psikologi Terapan Ilmu Pendidikan Global Abdimas: Jurnal Pengabdian Masyarakat Jurnal Penelitian Inovatif World Psychology JOMPA ABDI: Jurnal Pengabdian Masyarakat JURNAL PENGABDIAN PENDIDIKAN MASYARAKAT (JPPM) Dharma Pengabdian Perguruan Tinggi (DEPATI) Journal of Climate Change Society Jurnal Pengabdian Masyarakat Indonesian Journal of Humanities and Social Sciences
Fitria, Yuli
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Neuroscience Physics Public Health Social Sciences Transportation Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
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.
Co-Authors Andrik Hermanto Azmi Siradjuddin Budi, Yulifah Salistia Damayanti, Fransiska Erna Hadiyanti, Nabila Fike Luh Dian Putri Wahyuni Lumbu, Aliyandi A. María-José, Chandrasekaran Mawarni, Elita Endah Rachman, Machria Rismareni Pransiska Wahyu Adri Wirawati