A Method to Identify the Optimal Areal Unit for NLDN Cloud-to-Ground Lightning Flash Data Analysis.

M. D. Schultz, S. Underwood, Premkrishnan Radhakrishnan
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引用次数: 11

Abstract

Abstract Currently, no uniform method exists for determining the optimal areal unit to analyze National Lightning Detection Network (NLDN) data. To address this problem, this paper utilizes the capabilities of modern geographic information systems (GIS) software to develop a consistent method for identifying areal analysis units while considering the location accuracy of the NLDN. Five grid cells were created at spatial resolutions of 0.1°, 0.2°, 0.3°, 0.4°, and 0.5°. To create cloud-to-ground (CG) lightning strikes, random points were generated at nine densities ranging from 1 to 9 strikes per square kilometer. A buffer of 500 m was placed around each random point to account for the margin of error in NLDN location accuracy. Random points that, when buffered to 500 m, still remained completely within the study region were evaluated as a percentage of all of the strikes to determine accuracy. The greatest accuracy of 95.88% was observed in the 0.5° grid cell at a density of 9 strikes per square kilometer....
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一种确定NLDN云对地闪电数据分析最佳面积单元的方法。
摘要目前,对于国家雷电探测网(NLDN)数据分析,尚无统一的确定最佳面积单位的方法。为了解决这一问题,本文利用现代地理信息系统(GIS)软件的功能,在考虑NLDN定位精度的同时,开发了一种一致的方法来识别区域分析单元。分别以0.1°、0.2°、0.3°、0.4°和0.5°的空间分辨率创建了5个网格单元。为了制造云对地(CG)雷击,以每平方公里1到9次雷击的9个密度随机产生点。在每个随机点周围放置500米的缓冲区,以考虑NLDN定位精度的误差范围。当缓冲到500米时,仍然完全留在研究区域内的随机点作为所有打击的百分比进行评估,以确定准确性。在0.5°网格单元中,以每平方公里9击的密度观测精度最高,达到95.88% ....
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