Rainfall Estimation from Himawari-8 Imagery during the 2017 Wet Monsoon Season in the West Coast of Peninsular Malaysia

References

1. Ahmad, F., Ushiyama, T., & Sayama, T. (2017). Determination of Z-R Relationship and Inundation Analysis for Kuantan River Basin.
2. Ahmad Mohtar, I. S., & Tahir, W. (2017). The Application of Visible Images from Meteorological Satellite (METSAT) for the Rainfall Estimation in Klang River Basin. Journal of Engineering & Applied Science, 12(10).
3. Al Mamun, A., Noor Bin Salleh, M., Hanapi& Noor, M. (2018). Estimation of Short-Duration Rainfall Intensity from Daily Rainfall Values in Klang Valley, Malaysia. Applied Water Science, 8, 203. DOI: 10.1007/s13201-018-0854-z
4. Alfuadi, N., & Wandala, A. (2016). Comparative Test of Several Rainfall Estimation Methods using Himawari-8 Data. International Journal of Remote Sensing and Earth Sciences, 13(2), 95-104.
5. Asmat, A., Hazali, N. A., Sahak, N., Tahir, W., & Ramli, S. (2021). Spatial Rainfall Rate Estimation from Multi-Source Data in Klang Valley. International Journal of Geoinformatics, 17(2), 1-8.
6. Ayasha, N. (2020). A Comparison of Rainfall Estimation using Himawari-8 Satellite Data in Different Indonesia Topographies. International Journal of Remote Sensing and Earth Science, 17(2), 189-200.
7. Baharudin, S. A., & Asmat, A. (2021). Extreme Precipitation Trend Using Regional Climate Model from Multi-Source of Observational Data in Malaysia. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 12(9), 12A9I, 1-8. DOI: 10.14456/ITJEMAST.2021.177
8. Bessho, K., Date, K., Hayashi, M., Ikeda, A., Imai, T., Inoue, H., Yoshida, R. (2016). An Introduction to Himawari-8/9 - Japan's New-Generation Geostationary Meteorological Satellites. Journal of the Meteorological Society of Japan. Ser. II, 94, 151-183. DOI: 10.2151/jmsj.2016-009
9. Chen, F., Liu, Y., Liu, Q., & Li, X. (2014). Spatial Downscaling of TRMM 3B43 Precipitation Considering Spatial Heterogeneity. International Journal of Remote Sensing, 35(9), 3074-3093. DOI: 10.1080/01431161.2014.902550
10. Diya, S. G., Gasim, M. B., Toriman, M. E., & Abdullahi, M. G. (2014). Floods in Malaysia: Historical Reviews, Causes, Effects and Mitigations Approach. International Journal of Interdisciplinary Research Innovations, 2(4), 59-65.
11. Department of Irrigation and Drainage (DID). (2020). Rainfall Data - The Official Web Of Public Infobanjir.
12. Fadzil, M., Rashid, A., Ghani, I. A., Ngah, I., & Yasin, S. M. (2014). Evaluation of Migration Decision-Selectivity Factors in Metropolitan Area: A Case of Klang Valley Region, Malaysia. Journal of Social Sciences and Humanities, 9(1), 34-44.
13. Flossmann, A. I., Manton, M., Abshaev, A., Bruintjes, R., Murakami, M., Prabhakaran, T., & Yao, Z. (2019). Review of Advances in Precipitation Enhancement Research. Bulletin of the American Meteorological Society, 100(8), 1465-1480. DOI: 10.1175/BAMS-D-18-0160.1
14. Gairola, R. M., Prakash, S., & Pal, P. K. (2015). Improved Rainfall Estimation over the Indian Monsoon Region by Synergistic use of Kalpana-1 and Rain Gauge Data. Atmosfera, 28(1), 51-61. DOI: 10.1016/S0187-6236(15)72159-4
15. Haile, A. T., Habib, E., Elsaadani, M., & Rientjes, T. (2012). Inter-comparison of satellite rainfall products for representing rainfall diurnal cycle over the Nile basin. International Journal of Applied Earth Observation and Geoinformation, 21(1), 230-240. DOI: 10.1016/j.jag.2012.08.012
16. Haile, A. T., Rientjes, T., Gieske, A., & Gebremichael, M. (2010). Multispectral Remote Sensing for Rainfall Detection and Estimation at the Source of The Blue Nile River. International Journal of Applied Earth Observation and Geoinformation, 12, 76-82. DOI: 10.1016/j.jag.2009.09.001
17. Hidayati, S., & Putra, R. M. (2016). Determination of Relationship between Cloud Top Brightness Temperature of Infrared Channel Himawari-8 Satellite and Rainfall Events on February 2016 at Perak I Surabaya Meteorological Station. The 6th International Symposium for Sustainable Humanosphere Humanosphere Science School 2016, 265-273.
18. Hua, A. K., & Ping, O. W. (2018). The Influence of Land-Use/Land-Cover Changes on Land Surface Temperature?: A Case Study of Kuala Lumpur Metropolitan City. European Journal of Remote Sensing, 51(1), 1049-1069. DOI: 10.1080/22797254.2018.1542976
19. Jeniffer, K., Su, Z., Woldai, T., & Maathuis, B. (2010). Estimation of Spatial-Temporal Rainfall Distribution using Remote Sensing Techniques: A Case Study of Makanya Catchment, Tanzania. International Journal of Applied Earth Observation and Geoinformation, 12, 90-99. DOI: 10.1016/j.jag.2009.10.003
20. Li, L., He, Z., Chen, S., Mai, X., Zhang, A., Hu, B., Tong, X. (2018). Subpixel-Based Precipitation Nowcasting with the Pyramid Lucas-Kanade Optical Flow Technique. Atmosphere, 9(7). DOI: 10.3390/atmos9070260
21. Long, Y., Zhang, Y., & Ma, Q. (2016). A merging framework for rainfall estimation at high spatiotemporal resolution for distributed hydrological modeling in a data-scarce area. Remote Sensing, 8(7). DOI: 10.3390/rs8070599
22. Loo, Y. Y., Billa, L., & Singh, A. (2015). Effect of Climate Change on Seasonal Monsoon in Asia and its Impact on the Variability of Monsoon Rainfall in Southeast Asia. Geoscience Frontiers, 6, 817-823. DOI: 10.1016/j.gsf.2014.02.009
23. Lung, C. H. (2016). Statistical Models for Daily Rainfall Data: A Case Study in Selangor, Malaysia.
24. Mayowa, O. O., Pour, S. H., Shahid, S., Mohsenipour, M., Harun, S. Bin, Heryansyah, A., & Ismail, T. (2015). Trends in Rainfall and Rainfall-Related Extremes in The East Coast of Peninsular Malaysia. Journal of Earth System Science, 1-15. DOI: 10.1007/s12040-015-0639-9
25. Meliani, F., Sulistyowati, R., Permata, Z. D. O., & Sumargana, L. (2020). Preliminary Study on Validation of HIMAWARI-8 Data with Ground Based Rainfall Data at South Sumatera , Indonesia. IOP Conference Series: Earth and Environmental Science, 500, 1-9. DOI: 10.1088/1755-1315/500/1/012031
26. Mishra, A. K., & Rafiq, M. (2019). Rainfall Estimation Techniques over India and Adjoining Oceanic Regions. Current Science, 116(1).
27. Nashwan, M. S., Ismail, T., & Ahmed, K. (2019). Non-Stationary Analysis of Extreme Rainfall in Peninsular Malaysia. Journal of Sustainability Science and Management, 14(4), 17-34. DOI: 10.11113/jt.v78.9677
28. Octari, G. R., Suhaedi, D., & Noersomadi. (2015). Model Estimasi Curah Hujan Berdasarkan Suhu Puncak Awan Menggunakan Inversi Nonlinear. Prosiding Penelitian SPeSIA 2015, 23-29.
29. Park, H. M., Kim, M. A., & Im, J. (2016). Relationship between Himawari-8-Derived Overshooting Tops and Extreme Weather Events in Southeast Asia. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 41(July), 325-327. DOI: 10.5194/isprsarchives-XLI-B7-325-2016
30. Prakash, S., Mahesh, C., Gairola, R. M., & Pal, P. K. (2010). Estimation of Indian Summer Monsoon Rainfall using Kalpana-1 VHRR Data and its Validation using Rain Gauge and GPCP Data. Meteorology and Atmospheric Physics, 110(1), 45-57. DOI: 10.1007/s00703-010-0106-8
31. Prakash, S., Mahesh, C., Mishra, A., Gairola, R. ., Varma, A. K., & Pal, P. . (2009). Combined use of Microwave and IR Data for the Study of Indian Monsoon Rainfall - 2009. Impact of Climate Change on Agriculture, 227-230.
32. Prasad, P. G., & Varadarajan, S. (2018). Cloud Growth based Precipitation Estimation Algorithm for Kalpana-1 Satellite Data. International Journal of Advance Engineering and Research Development, 5(3), 877-881.
33. Putra, R. M., Kurniawan, A., Rangga, I. A., Ryan, M., Endarwin, & Luthfi, A. (2019). An Evaluation Graph of Hourly Rainfall Estimation in Malang. IOP Conference Series: Earth and Environmental Science, 303, 012031. DOI: 10.1088/1755-1315/303/1/012031
34. Rani, N. A., Afra, S. Y., & Selatan, T. (2016). Rainfall Estimation using Auto-Estimator based on Cloud-Top Temperature of Himawari 8 Satellite compared to Rainfall Observation in Pangkalpinang Meteorological Station. The 6th International Symposium for Sustainable Humanosphere, (November), 15-16.
35. Risyanto, Lasmono, F., & Nugroho, G. (2019). Identification of Rainfall Area in Indonesia using Infrared Channels of Himawari-8 Advance Himawari Imager (AHI). IOP Conference Series: Earth and Environmental Science, 303, 1-7. DOI: 10.1088/1755-1315/303/1/012057
36. Sakolnakhon, K. P. N., & Nuntakamolwaree, S. (2016). The estimation rainfall using infrared (IR) band of Himawari-8 satellite over Thailand. Engineering: Naresuan University, 39, 236-248.
37. Samsuri, N., Abu Bakar, R., & Unjah, T. (2018). Flash Flood Impact in Kuala Lumpur-Approach Review and Way Forward. International Journal of the Malay World and Civilisation, 6(1), 69-76. DOI: 10.17576/jatma-2018-06SI1-10
38. Suhaila, J., Deni, S. M., Wan Zin, W. A. N., & Jemain, A. A. (2010). Trends in Peninsular Malaysia Rainfall Data during the Southwest Monsoon and Northeast Monsoon Seasons: 1975-2004. Sains Malaysiana, 39(4), 533-542. DOI: 10.1007/s00703-010-0108-6
39. Suparta, W., Rahman, R., Singh, M., Singh, J., & Latif, M. T. (2015). Investigation of Flash Flood Over the West Peninsular Malaysia by Global Positing System Network. Advanced Science Letters, 21, 153-157. DOI: 10.1166/asl.2015.5845
40. Suseno, D. P. Y. (2013). The use of Geostationary Satellite-Based Rainfall Estimation and Rainfall-Runoff Modelling for Regional Flash Flood Assessment.
41. Syafrina, A. H., & Norzaida, A. (2017). Extreme Rainfall in the Eastern Region of Peninsular Malaysia. Communications in Mathematics and Applications, 8(3), 241-251.
42. Syafrina, A. H., Zalina, M. D., & Juneng, L. (2015). Historical Trend of Hourly Extreme Rainfall in Peninsular Malaysia. Theoretical and Applied Climatology, 120, 259-285. DOI: 10.1007/s00704-014-1145-8
43. Syafrina, A. H., Zalina, M. D., & Norzaida, A. (2017). Climate Projections of Future Extreme Events in Malaysia. American Journal of Applied Sciences Original Research Paper, 1-6. DOI: 10.3844/ajassp.2017
44. Tangang, F. T., Juneng, L., Salimun, E., Sei, K. M., Le, L. J., & Muhammad, H. (2012). Climate Change and Variability over Malaysia: Gaps in Science and Research Information. Sains Malaysiana, 41(11), 1355-1366.
45. Upadhyaya, S., & Ramsankaran, R. (2013). Review of Satellite Remote Sensing Data based Rainfall Estimation Methods. Hydro 2013 International, (December), 1-16.
46. Varikoden, H., Preethi, B., Samah, A. A., & Babu, C. A. (2011). Seasonal Variation of Rainfall Characteristics in Different Intensity Classes over Peninsular Malaysia. Journal of Hydrology, 404, 99-108. DOI: 10.1016/j.jhydrol.2011.04.021
47. Vicente, G. A., Scofield, R. A., & Menzel, W. P. (1998). The Operational GOES Infrared Rainfall Estimation Technique. American Meteorological Society, 79(9), 1883-1898.
48. Waken, R. J., Song, J. J., Kwon, S., Min, K. H., & Lee, G. W. (2018). A Flexible and Efficient Spatial Interpolator for Radar Rainfall Estimation. Journal of Applied Statistics, 45(5), 829-844. DOI: 10.1080/02664763.2017.1317723
49. Wu, P., Hara, M., Hamada, J. I., Yamanaka, M. D., & Kimura, F. (2009). Why a Large Amount of Rain Falls over the Sea in The Vicinity of Western Sumatra Island during Nighttime. Journal of Applied Meteorology and Climatology, 48(7), 1345-1361. DOI: 10.1175/2009JAMC2052.1
50. Wulandari, A. V., Pratama, K. R., & Ismail, P. (2018). Using Convective Stratiform Technique (CST) Method to Estimate Rainfall (Case Study in Bali, December 14th 2016). Journal of Physics: Conference Series, 1022, 1-6. DOI: 10.1088/1742-6596/1022/1/012039
51. Yilmaz, K. K., Hogue, T. S., Hsu, K.-L., Sorooshian, S., Gupta, H. V, & Wagener, T. (2005). Intercomparison of Rain Gauge, Radar, and Satellite-Based Precipitation Estimates with Emphasis on Hydrologic Forecasting. Journal of Hydrometeorology, 6, 497-517.