The Impact of Convective Available Potential Energy (CAPE) on Spatio-Temporal Variations of Indonesian Extreme Rainfall
DOI:
https://doi.org/10.5614/j.math.fund.sci.2025.57.1.5Keywords:
atmospheric convection, ETCCDMI, precipitation, spatio-temporal, trendAbstract
Atmospheric instability frequently influences the distribution of precipitation and is closely associated with atmospheric dynamics and thermodynamics. An increase in convective available potential energy (CAPE) has the potential to result in the development of convective clouds, which could contribute to extreme rainfall. This study used rainfall data from Asian Precipitation?Highly Resolved Observational Data Integration Towards Evaluation (APHRODITE) and CAPE data from the European Centre for Medium-Range Weather Forecasts. We defined extreme rainfall trends by applying the Expert Team on Climate Change Detection and Indices (ETCCDI), which include the number of days with precipitation greater than the 95th percentile (R95P), consecutive dry days (CDD), consecutive wet days (CWD), the number of days with precipitation greater than 10 mm (R10mm), the number of days with precipitation greater than 20 mm (R20mm), and the Simple Daily Intensity Index (SDII). Using Mann-Kendall statistics, we found that the trend of extreme rainfall in Indonesia from 1983 to 2007 was predominantly characterized by the extreme category, as indicated by the increasing CDD indices. During the MAM-SON seasons, the CAPE had a substantial contribution to the extreme rainfall in Indonesia. The CAPE exhibited a significant positive (negative) correlation with the CWD and R10mm (CDD) indices.
References
Nur?utami MN., Hidayat R., Influence of IOD and ENSO to Indonesian rainfall variability: Role of atmosphere-ocean interaction in the indo-Pacific sector, Procedia Environmental Sciences, 33, pp. 196-203, 2016.
Hendrawan IG, Asai Koji, Triwahyuni A, Lestari DV, The interannual rainfall variability in Indonesia corresponding to El Nino Southern Oscillation and Indian Ocean Dipole, Acta Oceanol, 33, pp. 57-66, 2019.
Hidayat R, Kizu S, Influence of the Madden-Julian Oscillation on Indonesian rainfall variability in austral summer, International Journal of Climatology, 30, pp. 1816-1825, 2010.
Al-Taai, O.T., Abbood, Z.M., Analysis of The Convective Available Potential Energy by Precipitation Over Iraq Using ECMWF Data for the Period of 1989?2018, Engineering and Environmental Sciences, 29(2), pp. 196-211, 2020.
Ziarani, M.R., Bookhagen, B., Schmidt, T., Wickert, J., de la Torre, A., Hierro, R., Using Convective Available Potential Energy (CAPE) and Dew-Point Temperature to Characterize Rainfall-Extreme Events in the South-Central Andes, Atmospher. 10, pp. 1-22, 2019.
Murugavel, P., Pawar, S.D., Gopalakrishnan, V. Trends of Convective Available Potential Energy over the Indian region and its effect on rainfall, Int. J. Climatol, 32, pp. 1362-1372, 2012.
Riemann-campe, K., Fraedrich, K., Lunkeit, F., Global climatology of Convective Available Potential Energy ( CAPE ) and Convective Inhibition ( CIN ) in ERA-40 Reanalysis, Atmos. Res. 93, pp. 534-545, 2009.
DeMott, C.A., Randall, D.A., Observed Variations of Tropical Convective Available Potential Energy. J. Geophys Res Atmos, 109, pp. 1-14, 2004.
Murugavel, P., Pawar, S.D., Gopalakrishnan, V. Trends of Convective Available Potential Energy over the Indian region and its Effect on Rainfall, Int. J. Climatol, 32, pp. 1362-1372, 2012.
Ye, B., Del Genio, A.D., Lo, K.K.W., CAPE Variations in The Current Climate and in A Climate Change, J. Clim. 11, pp. 1997-2015, 1998.
Riemann-campe, K., Fraedrich, K., Lunkeit, F., Global climatology of Convective Available Potential Energy ( CAPE ) and Convective Inhibition ( CIN ) in ERA-40 Reanalysis, Atmos. Res. 93, pp. 534-545, 2009.
Zhang, X., Yang, F., Canada, E., RClimDex (1.0) User Manual. 2004.
Yatagai, A., Kamiguchi, K., Arakawa, O., Hamada, A., Yasutomi, N., Kitoh, A., Aphrodite Constructing a Long-Term Daily Gridded Precipitation Dataset for Asia Based on A Dense Network of Rain Gauges. Bull. Am. Meteorol. Soc, 93, pp. 1401-1415, 2012.
Schaake, J., Henkel, A., Cong, S., Application of PRISM Climatologies for Hydrologic Modeling and Forcasting in the Westren U.S, Am. Meteorol. Soc, 3, pp. 1-6, 2006.
Alsepan, G., Minobe, S., Relations Between Interannual Variability of Regional-Scale Indonesian Precipitation and Large-Scale Climate modes during 1960-2007. J. Clim, 33, pp. 5271-5291, 2020.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horyi, A., Muz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R.J., Hm, E., Janiskov M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., Thaut, J.N., The ERA5 Global Reanalysis. Q. J. R. Meteorol. Soc, 146, pp. 1999-2049, 2020.
Rerung, R.R., Penerapan Data Mining dengan Memanfaatkan Metode Association Rule untuk Promosi Produk. J. Teknol. Rekayasa, 3, pp. 89-98, 2018.
Fabrice, Y.A., Ye O.G.A., Solange, M., Oula K., Gautier, J., Bi, N.G., Hermann, V., Spatio-Temporal Analyses of Rainfall Extremes by Climatic Indices Method in MarahouRegion ( Central West of Ce D ? ivoire), International Journal of Innovative Science and Research Technology, 5, pp. 1100-1105, 2020.
Lee, J.J., Kwon, H.H., Kim, T.W., Spatio-temporal analysis of extreme precipitation regimes across South Korea and its application to regionalization. J. Hydro-Environment Res, 6, pp. 101-110, 2012.
Kamal, N., Pachauri, S., Mann-Kendall Test - A Novel Approach for Statistical Trend Analysis, Int. J. Comput Trends Technol, 63, pp. 18-21, 2018.
Schober, P., Schwarte, L.A., Correlation Coefficients: Appropriate Use and Interpretation. Anesth. Analg, 126, pp. 1763-1768, 2018.
Chang CP, Wang Z, McBride J, Liu CH., Southeast Asia-Maritime Continent Rainfall and the Asymmetric Monsoon Transition. Journal of Climate, 18, pp. 287-301, 2005.
Barki?ija, S., Fuchs, ?., Precipitation Correlation Between Convective Available Potential Energy, Convective Inhibition and Saturation Fraction in Middle Latitudes. Atmos. Res, 124, pp. 170-180, 2013.
Monkam, D., Convective Available Potential Energy (CAPE) in Northern Africa and Tropical Atlantic and Study of Its Connections with Rainfall in Central and West Africa During Summer 1985, Atmos Res, 62, pp. 125-147, 2002.
Tao, Y., Wang, W., Song, S., Ma, J., Spatial and Temporal Variations of Precipitation Extremes and Seasonality Over China from 1961-2013. Water, 10, pp. 1-19, 2018.
Lepore, C., Veneziano, D., Molini, A., Temperature and CAPE Dependence of Rainfall Extremes in The Eastern United States. Geophys Res Lett, 42, pp. 74-83, 2015.
Roderick, T.P., Wasko, C., Sharma, A., Atmospheric Moisture Measurements Explain Increases in Tropical Rainfall Extremes. Geophys Res Lett 46, pp. 1375-1382, 2019.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Journal of Mathematical and Fundamental Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.


