Evaluation of the Canadian Precipitation Analysis (CaPA) to improve forest fire danger rating
Chelene C. Hanes A E , Piyush Jain B , Mike D. Flannigan B , Vincent Fortin C and Guy Roy DA Canadian Forest Service, Natural Resources Canada, Sault Ste Marie, ON P6A 2E5, Canada.
B Department of Renewable Resources, University of Alberta, Edmonton, AB, T6G 2H1, Canada.
C Meteorological Research Division, Canadian Centre for Meteorological and Environmental Prediction, Dorval, QC, H9P 1J3, Canada.
D Meteorological Service of Canada, Montreal, QC, H5A 1L9, Canada.
E Corresponding author. Email: chelene.hanes@canada.ca
International Journal of Wildland Fire 26(6) 509-522 https://doi.org/10.1071/WF16170
Submitted: 10 September 2016 Accepted: 30 March 2017 Published: 11 May 2017
Abstract
The Fire Weather Index (FWI) System is the basic method of fire danger rating for fire management agencies in Canada. The spatial interpolation of this weather-based system can be difficult in areas where weather stations are sparse. Previous studies have shown that interpolation of precipitation is especially problematic owing to the isolated nature of convective summer storms. Environment and Climate Change Canada (ECCC) has recently developed the Canadian Precipitation Analysis (CaPA), a gridded precipitation product that integrates forecast data, station observations and Doppler radar, to improve precipitation estimates. The objective of the present study was to evaluate whether CaPA is indeed superior to the currently used interpolation method (thin-plate spline), and to assess the impact of the two precipitation estimates on the FWI System for the province of Ontario. Overall, the results showed the CaPA had increased skill in areas of radar coverage. In non-radar areas, where the ECCC station network was much sparser, there were less significant differences between the methods. Precipitation estimates from the CaPA also significantly improved the estimation of the Fine Fuel Moisture Code, Initial Spread Index and FWI in areas of radar coverage, improving estimates of potential fire danger.
Additional keywords: gridded precipitation.
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