A Methodology for Estimation of Hourly‐Monthly Stochastic Trend Characteristics of Midlatitude Ionosphere

Radio Science ◽  
2020 ◽  
Vol 55 (11) ◽  
Author(s):  
F. Arikan ◽  
O. Koroglu
Keyword(s):  
Stochastic Trend ◽  
Midlatitude Ionosphere

scholarly journals High-midlatitude ionosphere response to major stratospheric warming

2015 ◽  
Vol 67 (1) ◽  
Author(s):  
Boris G Shpynev ◽  
Vladimir I Kurkin ◽  
Konstantin G Ratovsky ◽  
Marina A Chernigovskaya ◽  
Anastasiya Yu Belinskaya ◽  
...  
Keyword(s):  
Stratospheric Warming ◽  
Midlatitude Ionosphere

A direction-dependent instability of sporadic-Elayers in the nighttime midlatitude ionosphere

2002 ◽  
Vol 29 (18) ◽  
pp. 11-1-11-4 ◽  
Author(s):  
Russell B. Cosgrove ◽  
Roland T. Tsunoda
Keyword(s):  
Midlatitude Ionosphere

Rescaled range analysis in the presence of stochastic trend

2007 ◽  
Vol 77 (12) ◽  
pp. 1165-1175 ◽  
Author(s):  
Alexander Aue ◽  
Lajos Horváth ◽  
Josef Steinebach
Keyword(s):  
Range Analysis ◽  
Stochastic Trend ◽  
Rescaled Range ◽  
Rescaled Range Analysis

scholarly journals Polynomial cointegration tests of anthropogenic impact on global warming

2012 ◽  
Vol 3 (2) ◽  
pp. 561-596 ◽  
Author(s):  
M. Beenstock ◽  
Y. Reingewertz ◽  
N. Paldor
Keyword(s):  
Global Warming ◽  
Greenhouse Gas ◽  
Solar Irradiance ◽  
Nonstationary Time Series ◽  
Global Temperature ◽  
Stochastic Trend ◽  
Period 1880 ◽  
Cointegration Tests ◽  
Polynomial Cointegration ◽  
Observation Period

Abstract. We use statistical methods for nonstationary time series to test the anthropogenic interpretation of global warming (AGW), according to which an increase in atmospheric greenhouse gas concentrations raised global temperature in the 20th century. Specifically, the methodology of polynomial cointegration is used to test AGW since during the observation period (1880–2007) global temperature and solar irradiance are stationary in 1st differences whereas greenhouse gases and aerosol forcings are stationary in 2nd differences. We show that although these anthropogenic forcings share a common stochastic trend, this trend is empirically independent of the stochastic trend in temperature and solar irradiance. Therefore, greenhouse gas forcing, aerosols, solar irradiance and global temperature are not polynomially cointegrated. This implies that recent global warming is not statistically significantly related to anthropogenic forcing. On the other hand, we find that greenhouse gas forcing might have had a temporary effect on global temperature.

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