Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2017JD028253 |
An Updated Model Providing Long-Term Data Sets of Energetic Electron Precipitation, Including Zonal Dependence | |
van de Kamp, M.1; Rodger, C. J.2; Seppala, A.2; Clilverd, M. A.3; Verronen, P. T.1 | |
2018-09-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2018 |
卷号 | 123期号:17页码:9891-9915 |
文章类型 | Article |
语种 | 英语 |
国家 | Finland; New Zealand; England |
英文摘要 | In this study 30- to 1,000-keV energetic electron precipitation (EEP) data from low Earth orbiting National Oceanic and Atmospheric Administration and MetOp Polar Orbiting Environmental Satellites were processed in two improved ways, compared to previous studies. First, all noise-affected data were more carefully removed, to provide more realistic representations of low fluxes during geomagnetically quiet times. Second, the data were analyzed dependent on magnetic local time (MLT), which is an important factor affecting precipitation flux characteristics. We developed a refined zonally averaged EEP model, and a new model dependent on MLT, which both provide better modeling of low fluxes during quiet times. The models provide the EEP spectrum assuming a power law gradient. Using the geomagnetic index Ap with a time resolution of 1day, the spectral parameters are provided as functions of the L shell value relative to the plasmapause. Results from the models compare well with EEP observations over the period 1998-2012. Analysis of the MLT-dependent data finds that during magnetically quiet times, the EEP flux concentrates around local midnight. As disturbance levels increase, the flux increases at all MLT. During disturbed times, the flux is strongest in the dawn sector and weakest in the late afternoon sector. The MLT-dependent model emulates this behavior. The results of the models can be used to produce ionization rate data sets over any time period for which the geomagnetic Ap index is available (recorded or predicted). This ionization rate data set will enable simulations of EEP impacts on the atmosphere and climate with realistic EEP variability. |
英文关键词 | energetic electron precipitation energetic particle precipitation magnetic local time ionization solar particle forcing synthesized data set |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000445617500056 |
WOS关键词 | SOLAR PROTON EVENTS ; PARTICLE-PRECIPITATION ; GEOMAGNETIC-ACTIVITY ; FLUXES ; POES ; CONTAMINATION ; DEMETER ; BELT |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/32331 |
专题 | 气候变化 |
作者单位 | 1.Finnish Meteorol Inst, Space & Earth Observat Ctr, Helsinki, Finland; 2.Univ Otago, Dept Phys, Dunedin, New Zealand; 3.British Antarctic Survey, NERC, Cambridge, England |
推荐引用方式 GB/T 7714 | van de Kamp, M.,Rodger, C. J.,Seppala, A.,et al. An Updated Model Providing Long-Term Data Sets of Energetic Electron Precipitation, Including Zonal Dependence[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(17):9891-9915. |
APA | van de Kamp, M.,Rodger, C. J.,Seppala, A.,Clilverd, M. A.,&Verronen, P. T..(2018).An Updated Model Providing Long-Term Data Sets of Energetic Electron Precipitation, Including Zonal Dependence.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(17),9891-9915. |
MLA | van de Kamp, M.,et al."An Updated Model Providing Long-Term Data Sets of Energetic Electron Precipitation, Including Zonal Dependence".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.17(2018):9891-9915. |
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