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International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

Verification of WRF modelled fire weather in the 2009–10 New Zealand fire season

C. C. Simpson A B C E , H. G. Pearce D , A. P. Sturman A and P. Zawar-Reza A
+ Author Affiliations
- Author Affiliations

A Centre for Atmospheric Research, University of Canterbury, Christchurch, 8140, New Zealand.

B School of Physical, Environmental and Mathematical Sciences, University of New South Wales Canberra, Canberra, ACT 2610, Australia.

C Bushfire Cooperative Research Centre, East Melbourne, Vic. 3002, Australia.

D Rural Fire Research Group, Scion, Christchurch, New Zealand.

E Corresponding author. Email: colin.c.simpson@gmail.com

International Journal of Wildland Fire 23(1) 34-45 https://doi.org/10.1071/WF12152
Submitted: 10 September 2012  Accepted: 22 July 2013   Published: 23 September 2013

Abstract

The Weather Research and Forecasting (WRF) mesoscale model was used to simulate the fire weather conditions for the 2009–10 wildland fire season in New Zealand. The suitability of WRF to simulate the high-end fire weather conditions for this period was assessed through direct comparison with observational data taken from 23 surface and two upper-air stations located across New Zealand. The weather variables and fire weather indices considered in the verification were the 1200 hours NZST air temperature, relative humidity, wind speed and direction, 24-h rainfall, New Zealand Fire Weather Index (FWI) and Continuous Haines Index (CHI). On observed high-end fire weather days, the model under-predicted the air temperatures and relative humidities, and over-predicted the wind speeds and 24-h rainfall at most weather stations. The results demonstrated that although WRF is suitable for modelling the air temperatures, there are issues with modelling the wind speeds and rainfall quantities. The model error in the wind speeds and 24-h rainfall contributed significantly towards the model under-prediction of the FWI on observed high-end fire weather days. In addition, the model was not suitable for predicting the number of high-end fire weather days at most weather stations, which represents a serious operational limitation of the WRF model for fire management applications. Finally, the modelled CHI values were only in moderate agreement with the observed values, principally due to the model error in the dew point depression at 850 hPa.


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