DOI: 10.1029/2018JA025353
Scopus记录号: 2-s2.0-85047499105
论文题名: Understanding the Global Variability in Thermospheric Nitric Oxide Flux Using Empirical Orthogonal Functions (EOFs)
作者: Flynn S. ; Knipp D.J. ; Matsuo T. ; Mlynczak M. ; Hunt L.
刊名: Journal of Geophysical Research: Space Physics
ISSN: 21699380
出版年: 2018
卷: 123, 期: 5 起始页码: 4150
结束页码: 4170
语种: 英语
英文关键词: empirical orthogonal functions
; nitric oxide
; thermosphere
英文摘要: We present the first-ever global assessment of thermospheric nitric oxide infrared radiative flux (NOF) variability. NOF (W/m2) from 100- to 250-km altitude is extracted from 13.7 years of data from the TIMED satellite, Sounding of the Atmosphere using Broadband Emission Radiometry (SABER) instrument, and decomposed into four empirical orthogonal functions (EOFs) and their amplitudes. We determine the strongest modes of NOF variability in the data set and develop a compact model of NOF. The first four EOFs account for 83% of the variability in the data. We illustrate the NOF model and discuss the geophysical associations of the EOFs. The first EOF represents 69% of the total variance and correlates strongly with Kp and solar shortwave flux, suggesting that geomagnetic activity and solar weather account for a large portion of NOF variability. EOF 2 shows annual and seasonal variations, possibly due to annual and seasonal thermospheric composition and temperature changes and may represent the chemical breathing mode of NOF. EOF 3 shows annual variations and correlates with solar energetic particle events and X-flares. EOF 3 may represent winter time solar energetic particle event-enhanced diurnal tide effects. EOF 4 suggests a meridional transport mechanism at the predawn and postdusk equator after strong storms. The EOF uncertainty is verified using cross-validation analysis. Quantifying the spatial and temporal variabilities of NOF using eigenmodes will increase the understanding of how upper atmospheric nitric oxide cooling behaves and could increase the accuracy of future space weather and climate models. ©2018. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113966
Appears in Collections: 气候减缓与适应
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作者单位: Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, CO, United States; High Altitude Observatory, National Center for Atmospheric Research, Boulder, CO, United States; NASA Langley Research Center, Hampton, VA, United States; Science Systems and Applications, Inc, Hampton, VA, United States
Recommended Citation:
Flynn S.,Knipp D.J.,Matsuo T.,et al. Understanding the Global Variability in Thermospheric Nitric Oxide Flux Using Empirical Orthogonal Functions (EOFs)[J]. Journal of Geophysical Research: Space Physics,2018-01-01,123(5)