Fig. 1. (a) Climatology of Monthly forest fire occurrences (shading), Burned area (blue line) and FWI (purple line) during 1991~2017 in South Korea. (b) Comparison between forest fire occurrences (shading) and FWI (purple line), DWI (pink line) and KBDI (orange line) over spring (March~May) during 1991~2017 in South Korea.
Fig. 2. Spatial Correlation between FWI and occurrence of forest fire over Spring (March~May) in South Korea during 1991~2017.
Fig. 3. (a) Spatial Patterns and (b) Principal component (PC) time series of EOF analysis for averaged spring (March~May) FWI in South Korea during 1981~2016.
Fig. 5. Spatial correlation between FWI 1st PCT and Relative humidity (a), Sea level pressure (b), 850 hPa zonal wind (c) and 2 m air Temperature (d) over spring (March~May) during 1980/1981~2015/16. Significant at 95% (90%) correlations are indicated with black (gray) dotted pattern. All data were detrended before the analysis.
Fig. 6. Spatial correlation between FWI 1st PCT and Sea Surface Temperature (a, c, e) and Outgoing Longwave Radiation (b, d, f) over previous autumn (September~November), winter (December~February) and spring (March~May) during 1980/1981~2015/16. Significant at 95% (90%) correlations are indicated with black (gray) dotted pattern. All data were detrended before the analysis.
Fig. 7. Linear regression of 850 hPa zonal wind (a), 500 hPa Geopotential height (b) and Relative humidity (c) with respect to averaged western pacific Outgoing Longwave Radiation over spring (March~May) during 1981~2015. Regressions statistically significant at the 0.05 (0.1) level are indicated by black (gray) dotted pattern. All time-series and data were detrended before the analysis.
Fig. 8. Spatial correlation between FWI 1st PCT and 850 hPa zonal wind (a) and Sea Surface Temperature (b) over winter (December~February) during 1980/1981~2015/16. (c) Time series of multiple linear regression (MLR) model for predicting FWI 1st PCT (red line), FWI 1st PCT (blue line) and occurrence of forest fire (black line) during 1981~2016 over spring (March~May) in South Korea. Significant at 95% (90%) correlations are indicated with black (gray) dotted pattern. All data were detrended before the analysis.
Fig. 4. Time series of occurrence of forest fire (black line) during 1991~2016, FWI 1st PCT (red dashed line) and averaged FWI anomaly (blue dashed line) during 1981~2016 over spring (March~May) in South Korea.
References
- Brose, P. H., D. C. Dey, R. P. Guyette, J. M. Marschall, and M. C. Stambaugh, 2013: The influences of drought and humans on the fire regimes of northern Pennsylvania, USA. Can. J. Forest Res., 43, 757-767, doi: 10.1139/cjfr-2012-0463.
- Choi, S. P., D. H. Kim, and S. K. Lee, 2006: The abstraction of forest fire damage area using factor analysis from the satellite image data. Journal of Korean Society for Geospatial Information System, 14, 13-19 (in Korean with English abstract).
- Dee, D. P., and Coauthors, 2011: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quart. J. Roy. Meteor. Soc., 137, 553-597, doi:10.1002/qj.828.
- Field, R. D., and Coauthors, 2015: Development of a global fire weather database. Nat. Hazards Earth Syst. Sci., 15, 1407-1423, doi:10.5194/nhess-15-1407-2015.
- Huang, B., and Coauthors, 2017: Extended reconstructed sea surface temperature, version 5 (ERSSTv5): upgrades, validations, and intercomparisons. J. Climate, 30, 8179-8205, doi:10.1175/JCLI-D-16-0836.1.
- Kanamitsu, M., W. Ebisuzaki, J. Woollen, S.-K. Yang, J. J. Hnilo, M. Fiorino, and G. L. Potter, 2002: NCEPDOE AMIP-II reanalysis (R-2). Bull. Amer. Meteor. Soc., 83, 1631-1644. https://doi.org/10.1175/BAMS-83-11-1631
- Keetch, J. J., and G. M. Byram, 1968: A drought index for forest fire control. U. S. Department of Agriculture Forest Service Research paper SE-38, 33 pp.
- Kim, M.-I., H. B. Kwak, W. K. Lee, M. S. Won, and K. S. Koo, 2011: Study on regional spatial autocorrelation of forest fire occurrence in Korea. Journal of Korean Society for Geospatial Information System, 19, 29-37 (in Korean with English abstract).
- Kim, S.-S., J. H. Lee, and M. W. Lee, 2013: Characteristics of forest fires and weathers in domestic over the past 50 years through the statistics. Journal of Korean Society of Hazard Mitigation, 13, 225-231 (in Korean with English abstract). https://doi.org/10.9798/KOSHAM.2013.13.5.225
- KMA, 2017: El Nino White Book. 2016 Korea Meteorological Administration, 280 pp (in Korean).
- Kwon, C. G., S. Y. Lee, and H. P. Lee, 2012: Analysis of forest fire occurrences and damage in Samcheok. In Proceedings of the Korea Institute of Fire Science and Engineering Conference. Daegu EXCO, Korean Institute of Fire Science and Engineering, 444-447 (in Korean).
- Kwak, H., W. K. Lee, S. Y. Lee, M. S. Won, K. S. Koo, B. Lee, and M. B. Lee, 2010: Cause-specific spatial point pattern analysis of forest fire in Korea. Journal of Korean Society of Forest Science, 99, 259-266 (in Korean with English abstract).
- Larkin, N. K., and D. E. Harrison, 2005: Global seasonal temperature and precipitation anomalies during El Nino autumn and winter. Geophys. Res. Lett., 32, L16705. https://doi.org/10.1029/2005GL022860
- Lee, S.-Y., 2009: Forest fire and Climate. Journal of Korean Society of Hazard Mitigation, 9, 19-33 (in Korean).
- Lee, S.-Y., S.-H. An, M.-S. Won, M.-B. Lee, T.-G. Lim, and Y.-C. Shin, 2004: Classification of forest fire occurrence risk regions using GIS. Journal of the Korean Association of Geographic Information Studies, 7, 37-46 (in Korean with English abstract).
- Liebmann, B., and C. A. Smith, 1996: Description of a complete (interpolated) outgoing longwave radiation dataset. Bull. Amer. Meteor. Soc., 77, 1275-1277.
- McCoy, V. M., and C. R. Burn, 2005: Potential alteration by climate change of the forest-fire regime in the boreal forest of central Yukon Territory. Arctic, 58, 276-285.
- Rienecker, M., and Coauthors, 2011: MERRA: NASA's modern-era retrospective analysis for research and applications. J. Climate, 24, 3624-3648, doi:10.1175/JCLI-D-11-00015.1.
- Son, H.-Y., J.-Y. Park, J.-S. Kug, J. Yoo, and C.-H. Kim, 2014: Winter precipitation variability over Korean Peninsula associated with ENSO. Climate Dyn., 42, 3171-3186, doi:10.1007/s00382-013-2008-1.
- Sung, M.-K., G.-H. Lim, E.-H. Choi, Y.-Y. Lee, M.-S. Won, and K.-S. Koo, 2010: Climate change over Korea and its relation to the forest fire occurrence. Atmosphere, 20, 27-35 (in Korean with English abstract).
- Veblen, T. T., T. Kitzberger, and J. Donnegan, 2000: Climatic and human influences on fire regimes in ponderosa pine forests in the Colorado Front Range. Ecol. Appl., 10, 1178-1195. https://doi.org/10.1890/1051-0761(2000)010[1178:CAHIOF]2.0.CO;2
- Viegas, D. X., G. Bovio, A. Ferreira, A. Nosenzo, and B. Sol, 1999: Comparative study of various methods of fire danger evaluation in southern Europe. Int. J. Wildland Fire, 9, 235-246. https://doi.org/10.1071/WF00015
- Wagner, C. E. V., 1970: Conversion of Williams' severity rating for use with the fire weather index, Petawawa Forest Experiment Station, Information Report PS-X-21, 5 pp.
- Wagner, C. E. V., 1974: Structure of the Canadian forest fire weather index. Petawawa Forest Experiment Station, Environment Canadian Forestry Service publication 1333, 49 pp.
- Won, M. S., K. S. Koo, and M. B. Lee, 2006: An analysis of forest fire occurrence hazards by changing temperature and humidity of ten-day intervals for 30 years in spring. Korean Journal of Agricultural and Forest Meteorology, 8, 250-259.
- Won, M. S., S. Y. Lee, M. B. Lee, and S. Ohga, 2010: Development and application of a forest fire danger rating system in South Korea. J. Fac. Agr., Kyushu U., 55, 221-229.