Data assimilation of satellite-based rainfall into a forecasting model over the Philippines

Authors

Carlo Jamandre ⋅ PH Ateneo de Manila University
Gemma Narisma ⋅ PH Regional Climate Systems, Manila Observatory

Abstract

An assimilation technique is used to adjust the weather research and forecasting (WRF) model based on satellite-derived rainfall rates. This research focuses on the modification of the mixing ratio based on the difference in precipitation between the satellite and model simulations. Two case studies were considered: 1) Typhoon Saola (August, 2012) and 2) Typhoon Washi (December, 2011). Changes were made based on TRMM and QMORPH data where available. Results show that assimilations helped improve the accuracy of the model, particularly for TRMM-based modifications while the model shows difficulty in QMORPH-based assimilation due to the hourly changing precipitation systems.

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Issue

2012: Proceedings of the 30th Samahang Pisika ng Pilipinas Physics Congress

Exploring physics research in the health sciences
22-24 October 2012, De La Salle Health Sciences Institute, Dasmariñas City

Article ID

SPP2012-1A-3

Section

Complex Systems

Published

2012-10-22

How to Cite

[1]

C Jamandre and G Narisma, Data assimilation of satellite-based rainfall into a forecasting model over the Philippines, Proceedings of the Samahang Pisika ng Pilipinas 30, SPP2012-1A-3 (2012). URL: https://proceedings.spp-online.org/article/view/SPP2012-1A-3.