Symmetric scaling properties in global surface air temperature anomalies-Reference-Cited by-同舟云学术

Symmetric scaling properties in global surface air temperature anomalies

Published:2014-09-17 Issue:3-4 Volume:121 Page:767-773
ISSN:0177-798X
Container-title:Theoretical and Applied Climatology
language:en
Short-container-title:Theor Appl Climatol

Author:

Varotsos Costas A.,Efstathiou Maria N.

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Link

http://link.springer.com/content/pdf/10.1007/s00704-014-1274-0.pdf

Reference41 articles.

1. Alvarez-Ramirez J, Rodriguez E, Carlos Echeverria J (2009) A DFA approach for as sessing asymmetric correlations. Physica A 388(12):2263–2270

2. Ausloos M, Ivanova K (2001) Power-law correlations in the southern–oscillation-index fluctuations characterizing El Nino. Phys Rev E. doi: 10.1103/PhysRevE.63.047201

3. Bunde A, Havlin S (2002) Power-law persistence in the atmosphere and in the oceans. Physica A 314(1–4):15–24

4. Cracknell AP, Varotsos CA (1995) The present status of the total ozone depletion over Greece and Scotland: a comparison between Mediterranean and more northerly latitudes. Int J Remote Sens 16(10):1751–1763

5. Cracknell AP, Varotsos CA (2007a) The IPCC fourth assessment report and the fiftieth anniversary of Sputnik. Environ Sci Pollut Res 14:384–387

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Influence of anthropogenic forcing on the long‐range correlation of air temperature in China;International Journal of Climatology;2022-11-18

2. Increased susceptibility to temperature variation for non-accidental emergency ambulance dispatches in Shenzhen, China;Environmental Science and Pollution Research;2021-02-23

3. Asymmetric multiscale multifractal analysis of wind speed signals;International Journal of Modern Physics C;2017-11

4. Asymmetric multifractal detrending moving average analysis in time series of PM2.5 concentration;Physica A: Statistical Mechanics and its Applications;2016-09

5. Long-Range Correlations in Air Quality Time Series: Effect of Differencing and Shuffling;Aerosol and Air Quality Research;2016