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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

Natural variability of the Keetch–Byram Drought Index in the Hawaiian Islands

Klaus Dolling A C , Pao-Shin Chu A and Francis Fujioka B
+ Author Affiliations
- Author Affiliations

A Department of Meteorology, School of Ocean and Earth Science and Technology, University of Hawaii, Honolulu, HI 96822, USA.

B USDA Forest Service, Pacific Southwest Research Station, 4955 Canyon Crest Drive, Riverside, CA 92507, USA.

C Corresponding author. Email: dolling@hawaii.edu

International Journal of Wildland Fire 18(4) 459-475 https://doi.org/10.1071/WF06146
Submitted: 11 November 2006  Accepted: 29 July 2008   Published: 29 June 2009

Abstract

The Hawaiian Islands experience damaging wildfires on a yearly basis. Soil moisture or lack thereof influences the amount and flammability of vegetation. Incorporating daily maximum temperatures and daily rainfall amounts, the Keetch–Byram Drought Index (KBDI) estimates the amount of soil moisture by tracking daily maximum temperatures and rainfall. A previous study found a strong link between the KBDI and total area burned on the four main Hawaiian Islands. The present paper further examines the natural variability of the KBDI. The times of year at which the KBDI is highest, representing the highest fire danger, are found at each of the 27 stations on the island chain. Spectral analysis is applied to investigate the variability of the KBDI on longer time scales. Windward and leeward stations are shown to have different sensitivities to large-scale climatic fluctuations. An El Niño signal displays a strong relationship with leeward stations, when examined with a band-pass filter and with a composite of standardized anomalies. Departure patterns of atmospheric circulations and sea surface temperatures over the North Pacific are investigated for composites of extremely high KBDI values when fire risk is high. The winter, spring, and fall show anomalous surface anticyclonic circulations, surface divergence, and subsidence over the islands for the upper quartile of KBDI. The winter, spring, and fall composites of equatorial sea surface temperatures for the upper quartile of KBDI are investigated for possible links to atmospheric circulations. These analyses are an effort to allow fire managers some lead time in predicting future fire risks.


Acknowledgements

The present study has been supported by the USDA Forest Service projects 01-CA-11272169–124 and 05-JV-11272165–015. We would like to thank the two anonymous reviewers and the associate editor for their helpful suggestions.


References


Blumenstock D, Price S (1967) ‘Hawaii, Climates of the States.’ (US Weather Bureau: Washington, DC)

Cayan DR, Peterson DH (1989) The influence of North Pacific atmospheric circulation on stream flow in the west. In ‘Aspects of Climatic Variability in the Pacific and the Western Americas’. Geophysics Monograph, No. 55, pp. 375–397. (American Geophysics Union: Washington, DC)

Chen Y-L , Nash AJ (1994) Diurnal variation of surface airflow and rainfall on the island of Hawaii. Monthly Weather Review  122, 34–55.
Crossref | GoogleScholarGoogle Scholar | Clague DA (1998) Geology. In ‘Atlas of Hawaii’. (Eds SP Juvik, JO Juvik) pp. 37–46. (University of Hawaii Press: Honolulu, HI)

Dolling KP, Chu P-S , Fujioka F (2005) A climatological study of the Keetch/Byram drought index and fire activity in the Hawaiian Islands. Agricultural and Forest Meteorology  133, 17–27.
Crossref | GoogleScholarGoogle Scholar | Fujioka FM (1991) Starting up the Keetch–Byram Drought Index. In ‘Proceedings: 11th Conference on Fire and Forest Meteorology’, 16–19 April, Missoula, MT. (Eds PA Andrews, DF Potts) Extended Abstract, pp. 74–80. (Society of American Foresters: Missoula, MT)

Giambelluca TW, Sanderson M (1993) The water balance and climate classification. In ‘Prevailing Trade Winds’. (Ed. M Sanderson) pp. 56–72. (University of Hawaii Press: Honolulu, HI)

Giambelluca TW, Schroeder TA (1998) Climate. In ‘Atlas of Hawaii’. (Eds SP Juvik, JO Juvik) pp. 49–59. (University of Hawaii Press: Honolulu, HI)

Heim RR (2002) A review of twentieth century drought indices used in the United States. Bulletin of the American Meteorological Society  83, 1149–1165.
Johnson MB, Forthum G (2001) Spatial mapping of KBDI for the south-east United States. In ‘4th Symposium on Fire and Forest Meteorology Preprints, 13–15 November, Reno, NV’. pp. 64–65. (American Meteorological Society: Reno, NV)

Keetch JJ, Byram GM (1968) A drought index for forest fire control. USDA Forest Service, Southeastern Forest Experiment Station, Research Paper SE-38, pp. 1–32. (Asheville, NC)

Lee H-K, Chu P-S, Sui C-H , Lau K-M (1998) On the annual cycle of latent heat fluxes over the equatorial Pacific using TAO buoy observations. Journal of the Meteorological Society of Japan  76, 909–923.
Pratt PW, Gon SMIII (1998) Ecology. In ‘Atlas of Hawaii’. (Eds SP Juvik, JO Juvik) pp. 121–129. (University of Hawaii Press: Honolulu, HI)

Ramage CS (1962) The subtropical cyclone. Journal of Geophysical Research  67, 1401–1411.
Crossref | GoogleScholarGoogle Scholar | Rasmusson EM (1987) Global prospects for the prediction of drought: a meteorological perspective. In ‘Planning for Drought, Toward a Reduction of Societal Vulnerability’. (Eds DA Wilhite, WE Easterling) pp. 31–43. (Westview Press: Boulder, CO)

Ropelewski CF , Halpert MS (1987) Global and regional scale precipitation patterns associated with the El Niño/Southern Oscillation. Monthly Weather Review  115, 1606–1626.
Crossref | GoogleScholarGoogle Scholar | Schroeder TA (1993) Weather and climate in Hawaii. In ‘Prevailing Trade Winds’. (Ed. M Sanderson) pp. 12–37. (University of Hawaii Press: Honolulu, HI)

Trenberth KE (1997) The definition of El Niño. Bulletin of the American Meteorological Society  78, 2771–2777.
Crossref | GoogleScholarGoogle Scholar | Tukey J (1949) The sampling theory of power spectrum estimates. In ‘Proceedings of the Symposium on Applications of Autocorrelation Analysis to Physical Problems’, 13 June 1949, Woods Hole, MA, USA. Presentation NAVEXOS-P-735, pp. 47–67. (Office of Naval Research: Washington, DC)

Walker GT , Bliss EW (1932) World Weather V. Memoirs of the Royal Meteorological Society  4, 53–84.
WMO (1966) Climate change. Technical Note No. 79. (World Meteorological Organization: Geneva)