Interpolation reliability of Philippine rainfall measurements

Authors

  • John Paul Emmanuel Llenaresas Algodon National Institute of Physics, University of the Philippines Diliman
  • May Tan Lim National Institute of Physics, University of the Philippines Diliman

Abstract

Rainfall interpolation techniques, like all algorithms, assume reasonably accurate sensor inputs. Yet even well-calibrated sensors may still yield erroneous or missing measurements due to random events. This paper presents a method for estimating the reliability of rainfall interpolation due to two factors: differences in reliability of data coming from different gauges, and distance between a rain gauge and the interpolation location. We found that for the DOST automatic weather stations deployed in the Philippines, rainfall interpolation is reliable for Luzon, except Palawan. Reliable rainfall interpolations are concentrated for land regions in Visayas, and for areas near rain gauges in Mindanao.
SPP 2019 Proceedings cover

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Published

2019-05-23

Issue

2019: Proceedings of the 37th Samahang Pisika ng Pilipinas Physics Conference

Section

Complex Systems and Data Analytics

License

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All other associated economic and moral rights as granted by the Intellectual Property Code of the Philippines are maintained by the Authors.

How to Cite

[1]
“Interpolation reliability of Philippine rainfall measurements”, Proc. SPP, vol. 37, no. 1, pp. SPP–2019, May 2019, Accessed: Apr. 01, 2026. [Online]. Available: https://proceedings.spp-online.org/article/view/SPP-2019-3F-05