Analytical method on reliability of rainfall data from X-band polarimetric radar

• Main Authors: Hasan, N. A., Goto, M., Miyamoto, K.
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/92456/1/HasanNA2020_AnalyticalMethodOnReliabilityOfRainfallData.pdf; http://eprints.utm.my/id/eprint/92456/; http://dx.doi.org/10.1088/1755-1315/479/1/012011

Recently in the field of disaster risk management, the applications of x display--inline-block" style="background: var(--highlight-yellow); color: inherit;">rainfall data from X-band Polarimetric radar are rapidly increasing due to the advancement of radar technology and analytical tools. In most cases, these x display--inline-block" style="background: var(--highlight-yellow); color: inherit;">rainfall data are used in the development and application of the meteorological and hydrological models. One of the typical purposes of such models is to report and disseminate disaster information such as x display--inline-block" style="background: var(--highlight-yellow); color: inherit;">rainfall to the government, related agencies, and the public for disaster prevention or mitigation. To accomplish this, the reliability of x display--inline-block" style="background: var(--highlight-yellow); color: inherit;">rainfall data from X-band Polarimetric radar is one of the most important factors as the data are the fundamental input. Equally important is the appropriate analytical method of the data to ensure the predicted x display--inline-block" style="background: var(--highlight-yellow); color: inherit;">rainfall information based on the collected data is reliable and safe to be used for further development and applications. Under such circumstances, this paper aim to investigate and evaluate the types of analytical methods for x display--inline-block" style="background: var(--highlight-yellow); color: inherit;">rainfall estimation by using X-band Polarimetric radar data. Content analysis was carried out and as a result, the statistical analyses were found as an appropriate analytical method to determine the reliability of x display--inline-block" style="background: var(--highlight-yellow); color: inherit;">rainfall data from the X-band Polarimetric radar. Further, the result from this study will be used to apply to a set of actual x display--inline-block" style="background: var(--highlight-yellow); color: inherit;">rainfall data from X-band Polarimetric radar and Automated Meteorological Data Acquisition System implemented in a region in Japan.