Projection of Air Temperature Trend in East Java Based on Representative Concentration Pathways (RCP) 4.5 Scenario
Abstract
Changes in the pattern and intensity of climate parameters, including air temperature, can be used to detect climate changes. It is very important to study air temperature trends related to climate change in East Java because this region is one of the provinces that contributes the largest rice production in Indonesia. Food security is negatively impacted by climate change. The research aims to determine changes temperature trend in detail on a regional scale. Climate change detection is carried out by analyzing the air temperature index issued by the Expert Team on Climate Change Detection and Indices (ETCCDI). Apart from looking at current conditions, this study examines projected future temperature trends using the RCP 4.5 scenario. RCP 4.5 is the scenario that most closely describes current climate conditions. Based on the research results, MPI-ESM-LR is the model that has the best accuracy compared to other methods. The air temperature index for the baseline period (1991-2020) shows an increasing trend of several significant intensity indices (p<0.05) at the maximum and minimum temperatures, which causes the air temperature during the day and at night to increase. The frequency index (TN10p TN90p, TX10p, and TX90p) shows a warming trend and several regions experience a significant upward trend. The projection period (2021-2050) shows an increasing trend in most of East Java and several indices such as TNn, TXn and TX90p show an increasing trend of warming which is higher than the baseline period.
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Abatan, A. A., Abiodun, B. J., Lawalc, K. A., & Gutowski, W. J. (2016). Trends in extreme temperature over Nigeria from percentile-based threshold indices. International Journal of Climatology, 36(6), 2527–2540. https://doi.org/10.1002/joc.4510
Ciupertea, A. F., Piticar, A., Djurdjevic, V., Croitoru, A.-E., & Bartok, B. (2017). Future changes in extreme temperature indices in Cluj-Napoca, Romania. Aerul Si Apa. Componente Ale Mediului, 235–242.
Gamal, G. (2017). Future Analysis of Extreme Temperature Indices for Sinai Peninsula-Egypt. Imperial Jounal of Interdisciplinary (IJIR), 3(1), 1960–1966.
Gamal, G. (2019). Historical and Future Extreme Temperature Indices of Greater Cairo Region, Egypt. Bulletin de La Société de Géographie d’Egypte, 92(1), 40–52. https://doi.org/10.21608/bsge.2019.90372
Harvian, K. A., & Yuhan, R. J. (2020). Kajian Perubahan Iklim Terhadap Ketahanan Pangan (The Impact of Climate Change on Food Security). Seminar Nasional Official Statistics 2019: Pengembangan Official Statistics Dalam Mendukung Implementasi SDG’s, 1052–1061.
HydroGeoLogic, I. (2005). Appendix D: Mann Kendall Analysis, Annual Groundwater Monitoring report.
Information, N. C. for E. (2022). Southern Oscillation Index (SOI). Diakses 26 Juli 2022 https://www.ncei.noaa.gov/access/monitoring/enso/soi
IPCC. (2021). Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Cambridge University Press. In Press.
Ishaq, M., Rumiati, A. T., & Permatasari, E. O. (2017). Analisis Faktor-Faktor yang Mempengaruhi Produksi Padi di Provinsi Jawa Timur Menggunakan Regresi Semiparametrik Spline. Jurnal Sains Dan Seni ITS, 6(1). https://doi.org/10.12962/j23373520.v6i1.22451
Manalo, J. A., Matsumoto, J., Takahashi, H. G., Villafuerte, M. Q., Olaguera, L. M. P., Ren, G., & Cinco, T. A. (2022). The effect of urbanization on temperature indices in the Philippines. International Journal of Climatology, 42(2), 850–867. https://doi.org/10.1002/joc.7276
Nugroho, S. (2019). Analisis Iklim Ekstrim Untuk Deteksi Perubahan Iklim Di Sumatera Barat. Jurnal Ilmu Lingkungan, 17(1), 7. https://doi.org/10.14710/jil.17.1.7-14
Nuraini, I. S. (2014). Analisis dan Proyeksi Trend Temperatur dan Curah Hujan untuk Mendeteksi Perubahan Iklim (Studi Kasus Propinsi Kalimantan Barat). (Skripsi Sarjana) Sekolah Tinggi Meteoorlogi Klimatologi dan Geofisika.
Panusunan Simanjuntak, P., & Safril, A. (2020). Tren Curah Hujan dan Suhu Udara Ekstrim Masa Depan (Periode 2021-2030) berdasarkan Representative Concentration Pathway (RCP) 4.5 di Kota Palu. Jurnal Ilmu Dan Inovasi Fisika, 4(1), 1–11. https://doi.org/10.24198/jiif.v4i1.23846
Popov, T., Gnjato, S., Trbić, G., & Ivanišević, M. (2018). Recent trends in extreme temperature indices in Bosnia and Herzegovina. Carpathian Journal of Earth and Environmental Sciences, 13(1), 211–224. https://doi.org/10.26471/cjees/2018/013/019
Prasetyo, S., Hidayat, U., Haryanto, Y. D., & Riama, N. F. (2021). Variasi dan Trend Suhu Udara Permukaan di Pulau Jawa Tahun 1990-2019. Jurnal Geografi : Media Media Informasi Pengembangan Dan Profesi Kegeografian, 18(1), 60–68. https://doi.org/10.15294/jg.v18i1.27622
Simanjuntak, P. P., Nopiyanti, A. D., & Safril, A. (2020). Proyeksi Curah Hujan Dan Suhu Udara Ekstrim Masa Depan Periode Tahun 2021-2050 Kota Banjarbaru Kalimantan Selatan. Jukung (Jurnal Teknik Lingkungan), 6(1), 45–53. https://doi.org/10.20527/jukung.v6i1.8237
Supari, Tangang, F., Juneng, L., & Aldrian, E. (2017). Observed changes in extreme temperature and precipitation over Indonesia. International Journal of Climatology, 37(4), 1979–1997. https://doi.org/10.1002/joc.4829
Thomson, A. M., Calvin, K. V, Smith, S. J., Kyle, G. P., Volke, A., Patel, P., Delgado-Arias, S., Bond-Lamberty, B., Wise, M. A., & Clarke, L. E. (2011). RCP4. 5: a pathway for stabilization of radiative forcing by 2100. Climatic Change, 109(1), 77–94.
van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A., Hibbard, K., Hurtt, G. C., Kram, T., Krey, V., Lamarque, J. F., Masui, T., Meinshausen, M., Nakicenovic, N., Smith, S. J., & Rose, S. K. (2011). The representative concentration pathways: An overview. Climatic Change, 109(1), 5–31. https://doi.org/10.1007/s10584-011-0148-z
Wang, W., & Lu, Y. (2018). Analysis of the Mean Absolute Error (MAE) and the Root Mean Square Error (RMSE) in Assessing Rounding Model. IOP Conference Series: Materials Science and Engineering, 324(1). https://doi.org/10.1088/1757-899X/324/1/012049
Wiyadi. (2018). Perubahan Iklim dan Pariwisata Alam: Implikasi di Taman Wisata Alam Gunung Tangkuban Parahu. Universitas Padjadjaran, Bandung.
Zhang, X., Alexander, L., Hegerl, G. C., Jones, P., Tank, A. K., Peterson, T. C., Trewin, B., & Zwiers, F. W. (2011). Indices for Monitoring Changes in Extremes Based on Daily Temperature and Precipitation Data. Wiley Interdisciplinary Reviews: Climate Change, 2(6), 851–870.
DOI: https://doi.org/10.59100/jakk.2023.20.2.103-117
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