Version 1
: Received: 16 December 2017 / Approved: 21 December 2017 / Online: 21 December 2017 (04:43:17 CET)
How to cite:
Bermudez, V.A.B.; Abilgos, A.B.B.; Cuaresma, D.C.N.; Rabajante, J.F. Probability Distribution of Philippine Daily Rainfall Data. Preprints2017, 2017120150. https://doi.org/10.20944/preprints201712.0150.v1
Bermudez, V.A.B.; Abilgos, A.B.B.; Cuaresma, D.C.N.; Rabajante, J.F. Probability Distribution of Philippine Daily Rainfall Data. Preprints 2017, 2017120150. https://doi.org/10.20944/preprints201712.0150.v1
Bermudez, V.A.B.; Abilgos, A.B.B.; Cuaresma, D.C.N.; Rabajante, J.F. Probability Distribution of Philippine Daily Rainfall Data. Preprints2017, 2017120150. https://doi.org/10.20944/preprints201712.0150.v1
APA Style
Bermudez, V.A.B., Abilgos, A.B.B., Cuaresma, D.C.N., & Rabajante, J.F. (2017). Probability Distribution of Philippine Daily Rainfall Data. Preprints. https://doi.org/10.20944/preprints201712.0150.v1
Chicago/Turabian Style
Bermudez, V.A.B., Diane Carmeliza N. Cuaresma and Jomar F. Rabajante. 2017 "Probability Distribution of Philippine Daily Rainfall Data" Preprints. https://doi.org/10.20944/preprints201712.0150.v1
Abstract
Philippines as an archipelago and tropical country, which is situated near the Pacific ocean, faces uncertain rainfall intensities. This makes environmental, agricultural and economic systems affected by precipitation difficult to manage. Time series analysis of Philippine rainfall pattern has been previously done, but there is no study investigating its probability distribution. Modeling the Philippine rainfall using probability distributions is essential, especially in managing risks and designing insurance products. Here, daily and cumulative rainfall data (January 1961 - August 2016) from 28 PAGASA weather stations are fitted to probability distributions. Moreover, the fitted distributions are examined for invariance under subsets of the rainfall data set. We observe that the Gamma distribution is a suitable fit for the daily up to the ten-day cumulative rainfall data. Our results can be used in agriculture, especially in forecasting claims in weather index-based insurance.
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
