Long-term variations in the characteristics of the equatorial stratospheric zonal winds

R. P. KANE

doi:10.54302/mausam.v52i3.1721

Long-term variations in the characteristics of the equatorial stratospheric zonal winds

MAUSAM ◽

10.54302/mausam.v52i3.1721 ◽

2022 ◽

Vol 52 (3) ◽

pp. 515-526

Author(s):

R. P. KANE

Keyword(s):

Periodic Structures ◽

Sunspot Cycle ◽

Zonal Winds ◽

Long Term Variations

Stratospheric equatorial zonal winds from 1951 onwards up to the present show considerable long-term variations, more so at higher levels, These are rarely monotonic and often show multi-periodic structures, including a sunspot cycle (II year variations), Stratospheric temperatures and geopotential heights also show multi-periodic variations, A periodicity near 20 years is encountered often.

Download Full-text

Fluvial magnetic susceptibility as a proxy for long‐term variations of mountain permafrost development in the Alp‐Carpathian region

Boreas ◽

10.1111/bor.12520 ◽

2021 ◽

Author(s):

Zoltán Püspöki ◽

Philip Leonard Gibbard ◽

Annamária Nádor ◽

Edit Thamó‐Bozsó ◽

Pál Sümegi ◽

...

Keyword(s):

Magnetic Susceptibility ◽

Carpathian Region ◽

Mountain Permafrost ◽

Long Term Variations

Download Full-text

Long-term variations of surface solar radiation in China from routine meteorological observations

Atmospheric Research ◽

10.1016/j.atmosres.2021.105715 ◽

2021 ◽

pp. 105715

Author(s):

Xuefang Yang ◽

Wenmin Qin ◽

Lunche Wang ◽

Ming Zhang ◽

Zigeng Niu

Keyword(s):

Solar Radiation ◽

Surface Solar Radiation ◽

Meteorological Observations ◽

Long Term Variations

Download Full-text

Long-term variations of C1–C5 alkyl nitrates and their sources in Hong Kong

Environmental Pollution ◽

10.1016/j.envpol.2020.116285 ◽

2021 ◽

Vol 270 ◽

pp. 116285

Author(s):

Lewei Zeng ◽

Hai Guo ◽

Xiaopu Lyu ◽

Beining Zhou ◽

Zhenhao Ling ◽

...

Keyword(s):

Hong Kong ◽

Alkyl Nitrates ◽

Long Term Variations

Download Full-text

Application of singular spectrum analysis in reconstruction of the annual signal from GRACE

Journal of Applied Geodesy ◽

10.1515/jag-2020-0005 ◽

2020 ◽

Vol 14 (3) ◽

pp. 295-302

Author(s):

Chuandong Zhu ◽

Wei Zhan ◽

Jinzhao Liu ◽

Ming Chen

Keyword(s):

Time Series ◽

Spectrum Analysis ◽

Singular Spectrum Analysis ◽

Mixture Effect ◽

Singular Spectrum ◽

Grace Data ◽

Terrestrial Water ◽

Annual Signal ◽

Long Term Variations

AbstractThe mixture effect of the long-term variations is a main challenge in single channel singular spectrum analysis (SSA) for the reconstruction of the annual signal from GRACE data. In this paper, a nonlinear long-term variations deduction method is used to improve the accuracy of annual signal reconstructed from GRACE data using SSA. Our method can identify and eliminate the nonlinear long-term variations of the equivalent water height time series recovered from GRACE. Therefore the mixture effect of the long-term variations can be avoided in the annual modes of SSA. For the global terrestrial water recovered from GRACE, the peak to peak value of the annual signal is between 1.4 cm and 126.9 cm, with an average of 11.7 cm. After the long-term and the annual term have been deducted, the standard deviation of residual time series is between 0.9 cm and 9.9 cm, with an average of 2.1 cm. Compared with the traditional least squares fitting method, our method can reflect the dynamic change of the annual signal in global terrestrial water, more accurately with an uncertainty of between 0.3 cm and 2.9 cm.

Download Full-text