DOI: 10.1002/2016JD025944
论文题名: Statistical analysis of spatial and temporal variations in atmospheric electric fields from a regional array of field mills
作者: Lucas G.M. ; Thayer J.P. ; Deierling W.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2017
卷: 122, 期: 2 起始页码: 1158
结束页码: 1174
语种: 英语
英文关键词: atmospheric electric field
; global electric circuit
Scopus关键词: array
; atmospheric electricity
; atmospheric modeling
; cloud cover
; data set
; electric field
; global change
; long-term change
; spatial variation
; statistical analysis
; temporal variation
; wind velocity
; Florida [United States]
; Kennedy Space Center
; United States
英文摘要: Electric fields and currents of the global electric circuit have been measured at different locations and time periods around the globe, but a long-term analysis from a regional array of electric field mills has never been performed. Kennedy Space Center (KSC) in Florida has an array of over 30 electric field mills that have been continuously operating and archiving data for over 18 years. KSC is also instrumented with many meteorological towers. With this initial statistical analysis of a long-term data set four unique observations are reported that encompass global as well as local effects. To quantitatively describe the effects, a model to determine near-surface electric fields, incorporating space charge, and conductivity perturbations is developed. Statistical autonomous grouping of the mills using the spatial array demonstrates a greater than 50 V/m spatial variation from coastal to inland mills caused by wind-advected space charge generated near the coast. A temporal analysis identified a strong, globally generated, diurnal signature, but only a weak annual signal is found. A realistic limit on conductivity reductions within clouds is estimated by analyzing overhead cloud cover in relation to near-surface electric field strengths. The estimated in-cloud conductivity reduction of approximately 1/3 is similar to observations but appreciably less than values estimated from microphysical cloud estimates. Finally, an enhancement in the electric field at sunrise is statistically well correlated with low wind speeds and high relative humidities. This paper provides a statistical description of local environmental effects on near-surface electric fields by which to base future studies. ©2017. American Geophysical Union. All Rights Reserved. 资助项目: AGS-1135446
; AGS-1135446
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62751
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
There are no files associated with this item.
作者单位: Department of Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, CO, United States
Recommended Citation:
Lucas G.M.,Thayer J.P.,Deierling W.. Statistical analysis of spatial and temporal variations in atmospheric electric fields from a regional array of field mills[J]. Journal of Geophysical Research: Atmospheres,2017-01-01,122(2)