Characterization of Lightning Occurrence in Alaska Using Various Weather Indices for Lightning Forecasting

Author:

Farukh Murad Ahmed, ,Hayasaka Hiroshi,Kimura Keiji,

Abstract

Alaska lost 10% of its boreal forest area due to vigorous forest fires in 2004 and 2005. Repeated lightningcaused forest fires adversely impact residents and influence earth’s atmosphere in every fire season. The authors have reported on the weather conditions of Alaska’s most severe lightning occurrence in mid June 2005. This paper examines a range of weather indices like soar, instability, ‘dry lightning’ and other factors that could clearly explain lightning characteristics in Alaska. First, lightning occurrence days from May to September were classified into ‘non or small lightning’ days and ‘lightning’ days to determine threshold values. Second, ‘lightning’ days were categorized into ‘less severe,’ ‘severe,’ ‘very severe,’ and ‘extremely severe’ to notice controlling factors on the lightning severity. Based on this analysis, the lifted index (LIFT) was selected as sensitive to assess upper air instability, and Te850 (environmental temperature at 850 hPa) was selected as sensitive to assess warm and moist air masses. Finally, the possibilities of lightning forecasts in Alaska are discussed using lightning occurrence and LIFT and Te850 in 2005. As there is a time-lag between LIFT measurements (14:00) and the lightning peak (-17:00), and around one day time-lag between Te850 and lightning occurrence, lightning forecasts using LIFT and Te850 could provide a simply applicable forecast index for Alaska.

Publisher

Fuji Technology Press Ltd.

Subject

Engineering (miscellaneous),Safety, Risk, Reliability and Quality

Reference31 articles.

1. M. Shulski, G. Wendler, S. Alden, and N. Larkin, “Alaska’s Exceptional 2004 Fire Season,” 6th Symposium on Fire & Forest Meteorology, Canmore, 2005.

2. C. Price and D. Rind. “Lightning activity in a greenhouse world,” Proceedings of the 11th Conference on Fire and ForestMeteorology 11, pp. 598-604, 1991.

3. E. Williams, “The Schumann resonance: a global tropical thermometer,” Science, 256, pp. 1184-1187, 1992.

4. E. Williams, “Global circuit response to seasonal variations in global surface air temperature,” Mon. Wea. Rev., pp. 1917-1929, 1994.

5. E. Williams, “Global circuit response to temperature on distinct time scales: a status report, in Atmos. Ionos. Electromag. Phenomena associated with Earthquakes,” M. Hayakawa (Ed.), TERRAPUB, Tokyo, pp. 939-949, 1999.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3