Impact of Tagaytay Doppler radar assimilation on WRF rainfall prediction

Authors

  • Jay Samuel Combinido Institute of Environmental Science and Meteorology, University of the Philippines Diliman
  • Gay Jane Perez Institute of Environmental Science and Meteorology, University of the Philippines Diliman

Abstract

The impact of assimilating Tagaytay Doppler radar observations to the performance of the Weather Research and Forecasting (WRF) model in predicting rainfall was examined. Eight experiments initialized on 10 June 2014 to 17 June 2014 at 8PM PST were performed. Each experiment was composed of two simulations: one with data assimilation and one without data assimilation which serves as a control. Tagaytay Doppler radar reflectivity and velocity measurements were assimilated using the three-dimensional variational system (3DVAR). Simulations with single- level radar observations was shown to impact the ability of the model to predict rainfall, especially on the first 12 hours of the forecast. Critical success index demonstrates the increase in the performance of the model.

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Issue

Article ID

SPP2014-5B-06

Section

Complex Systems

Published

2014-10-17

How to Cite

[1]
JS Combinido and GJ Perez, Impact of Tagaytay Doppler radar assimilation on WRF rainfall prediction, Proceedings of the Samahang Pisika ng Pilipinas 32, SPP2014-5B-06 (2014). URL: https://proceedings.spp-online.org/article/view/1789.