Accuracy verification of extreme weather early warning in Denpasar area 2018
Keywords:
accuracy verification, early warning, extreme weather, rainfall, weather conditionsAbstract
Research has been conducted to buy soma online verify the accuracy of extreme weather early warnings in the West Denpasar area in 2018. This research is based on the climate and weather conditions in Indonesia which are classified as extreme due to the effects of the movement of the west wind and east winds of the Indian-Pacific Ocean which causes Indonesia to have a variety of climate and weather, especially rainfall. Rainfall conditions in various places in Indonesia, especially Bali, have moderate to buy soma heavy rain intensity. In 2018, there were 673 extreme weather early warnings in the West Denpasar area with an accuracy rate of 92% from January to December.
Downloads
References
Ahrens, C. D. (1988). Meteorology Today [Meteorología de Hoy].
Asnani, G. C. (1993). Tropical meteorology. Asnani, Indian Inst. of Tropical Meteorology.
Beer, T. (1974). Atmospheric waves. New York.
Bélanger, M., Gray-Donald, K., O'loughlin, J., Paradis, G., & Hanley, J. (2009). Influence of weather conditions and season on physical activity in adolescents. Annals of epidemiology, 19(3), 180-186. https://doi.org/10.1016/j.annepidem.2008.12.008
Goovaerts, P. (2000). Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall. Journal of hydrology, 228(1-2), 113-129. https://doi.org/10.1016/S0022-1694(00)00144-X
Guzzetti, F., Gariano, S. L., Peruccacci, S., Brunetti, M. T., Marchesini, I., Rossi, M., & Melillo, M. (2020). Geographical landslide early warning systems. Earth-Science Reviews, 200, 102973. https://doi.org/10.1016/j.earscirev.2019.102973
Hestiyanto, Y. (2005). Geografi 2. Yudhistira Ghalia Indonesia.
Hutagalung, F., Yulia, A., & Meilianda, E. (2015). Tingkat Akurasi Sms Dan Efektivitas Sop Peringatan Dini Hujan Ekstrim Di Medan (Studi Kasus BBMKG Wilayah I dan Stasiun Meteorologi Klas I Kualanamu). Jurnal Ilmu Kebencanaan: Program Pascasarjana Unsyiah, 2(4).
King, D., Bird, D., Haynes, K., Boon, H., Cottrell, A., Millar, J., ... & Thomas, M. (2014). Voluntary relocation as an adaptation strategy to extreme weather events. International journal of disaster risk reduction, 8, 83-90. https://doi.org/10.1016/j.ijdrr.2014.02.006
Meteorologi, B. (2013). Klimatologi, dan Geofisika. 2017. Curah Hujan Padang Mengatas. sumber data Badan Meteologi, Klimatologi, dan Geofisika. Stasiun Klimatologi Sicincin. Sumatera Barat (ID).[Tidak di publish].
Moazami, A., Nik, V. M., Carlucci, S., & Geving, S. (2019). Impacts of future weather data typology on building energy performance–Investigating long-term patterns of climate change and extreme weather conditions. Applied Energy, 238, 696-720. https://doi.org/10.1016/j.apenergy.2019.01.085
Moon, S. H., Kim, Y. H., Lee, Y. H., & Moon, B. R. (2019). Application of machine learning to an early warning system for very short-term heavy rainfall. Journal of Hydrology, 568, 1042-1054. https://doi.org/10.1016/j.jhydrol.2018.11.060
Omer, A. M. (2015). Performance, modeling, measurements, and simulation of energy efficient for heat exchanger, refrigeration and air conditioning. International Research Journal of Engineering, IT and Scientific Research, 1(1), 24-44.
Panteli, M., & Mancarella, P. (2015). Influence of extreme weather and climate change on the resilience of power systems: Impacts and possible mitigation strategies. Electric Power Systems Research, 127, 259-270. https://doi.org/10.1016/j.epsr.2015.06.012
Roy, C. J. (2005). Review of code and solution verification procedures for computational simulation. Journal of Computational Physics, 205(1), 131-156. https://doi.org/10.1016/j.jcp.2004.10.036
Singh, S. (2017). Multi-factor authentication and their approaches. International Research Journal of Management, IT and Social Sciences, 4(3), 68-81.
Sivapalan, M., & Blöschl, G. (1998). Transformation of point rainfall to areal rainfall: Intensity-duration-frequency curves. Journal of Hydrology, 204(1-4), 150-167. https://doi.org/10.1016/S0022-1694(97)00117-0
Smart, D. F., Shea, M. A., Tylka, A. J., & Boberg, P. R. (2006). A geomagnetic cutoff rigidity interpolation tool: Accuracy verification and application to space weather. Advances in Space Research, 37(6), 1206-1217. https://doi.org/10.1016/j.asr.2006.02.011
Tjasyono, B., & Syukur, M. (2014). Keajaiban Planet Bumi. Dalam Perspektif Sains dan Islam,(Bandung: Rosdakarya, 2014).
Triatmodjo, B. (2008). Hidrologi Terapan, Beta Offset.
Published
How to Cite
Issue
Section
Copyright (c) 2021 International journal of life sciences
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the International Journal of Life Sciences (IJLS) are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJLS right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.
Articles published in IJLS can be copied, communicated and shared in their published form for non-commercial purposes provided full attribution is given to the author and the journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
This copyright notice applies to articles published in IJLS volumes 4 onwards. Please read about the copyright notices for previous volumes under Journal History.