The impact of inter-annual variability of annual cycle on long-term persistence of surface air temperature in long historical records

Deng, Qimin; Nian, Da; Fu, Zuntao

doi:10.1007/s00382-017-3662-5

Cited by 21 publications

(19 citation statements)

References 46 publications

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“…Previous work has suggested that spring has the strongest snow-temperature relationship, largely due to increases in latent heat from snowmelt (e.g. Dutra et al, 2011;Xu and Dirmeyer, 2011;Diro et al, 2018). Many of the regions showing the strongest relationship between projected snow cover and the projected amplification of warming cold extremes, such as the northwestern US, southern and north-east Canada, and the Rocky Mountains, are in agreement with historical simulations of the snow-temperature association during winter and spring months (Dutra et al, 2011;Diro et al, 2018).…”

Section: Discussionsupporting

confidence: 72%

“…In particular, changes in snow cover play an important role in altering surface temperature in Northern Hemisphere regions that experience snowfall (e.g. Cohen and Rind, 1991;Mote, 2008;Diro et al, 2018). The high reflectivity and thermal emissivity of snow, compared to other natural surfaces, increases the surface albedo, lowers the absorbed shortwave radiation at the surface and increases shortwave radiation reflected at the surface (Cohen and Rind, 1991).…”

Section: Introductionmentioning

confidence: 99%

“…The high reflectivity and thermal emissivity of snow, compared to other natural surfaces, increases the surface albedo, lowers the absorbed shortwave radiation at the surface and increases shortwave radiation reflected at the surface (Cohen and Rind, 1991). The effect of snow cover on surface temperature is greatest during spring when snowmelt is at its highest, leading to increases in latent heat at the surface (Cohen and Rind, 1991;Dutra et al, 2011;Xu and Dirmeyer, 2011;Qu and Hall, 2014;Diro et al, 2018). Further, the sur-face albedo feedback stemming from snow cover is strongest during spring because insolation is low during winter months when snow accumulation is at its highest (Qu and Hall, 2014;Diro et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…The effect of snow cover on surface temperature is greatest during spring when snowmelt is at its highest, leading to increases in latent heat at the surface (Cohen and Rind, 1991;Dutra et al, 2011;Xu and Dirmeyer, 2011;Qu and Hall, 2014;Diro et al, 2018). Further, the sur-face albedo feedback stemming from snow cover is strongest during spring because insolation is low during winter months when snow accumulation is at its highest (Qu and Hall, 2014;Diro et al, 2018). The snow-temperature relationship is also affected by the snowpack, due to melting snow and consequent increases in latent heat, and vegetation cover, which acts to limit the role of snow cover and snowmelt (Chapin III et al, 2005;Mote, 2008).…”

Section: Introductionmentioning

confidence: 99%

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Amplified warming of seasonal cold extremes relative to the mean in the Northern Hemisphere extratropics

et al. 2020

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Abstract. Cold extremes are anticipated to warm at a faster rate than both hot extremes and average temperatures for much of the Northern Hemisphere. Anomalously warm cold extremes can affect numerous sectors, including human health, tourism and various ecosystems that are sensitive to cold temperatures. Using a selection of global climate models, this paper explores the accelerated warming of seasonal cold extremes relative to seasonal mean temperatures in the Northern Hemisphere extratropics. The potential driving physical mechanisms are investigated by assessing conditions on or prior to the day when the cold extreme occurs to understand how the different environmental fields are related. During winter, North America, Europe and much of Eurasia show amplified warming of cold extremes projected for the late 21st century, compared to the mid-20th century. This is shown to be largely driven by reductions in cold air temperature advection, suggested as a likely consequence of Arctic amplification. In spring and autumn, cold extremes are expected to warm faster than average temperatures for most of the Northern Hemisphere mid-latitudes to high latitudes, particularly Alaska, northern Canada and northern Eurasia. In the shoulder seasons, projected decreases in snow cover and associated reductions in surface albedo are suggested as the largest contributor affecting the accelerated rates of warming in cold extremes. The key findings of this study improve our understanding of the environmental conditions that contribute to the accelerated warming of cold extremes relative to mean temperatures.

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Section: Discussionsupporting

confidence: 72%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Amplified warming of seasonal cold extremes relative to the mean in the Northern Hemisphere extratropics

et al. 2020

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“…The fluctuation function of a signal with sinusoidal trend was presented in [12]. The problems it causes for DFA are known and there are several methods to deal with it [27]. In figure 5 (left), we show that sinusoidal signals without damping can be fitted with AR(2) models, just as we did for AR(1), and the period length can be determined in this way with low uncertainty.…”

Section: Periodicity and Noisy Oscillations (Ar(2))mentioning

confidence: 84%

Inferring characteristic timescales from the effect of autoregressive dynamics on detrended fluctuation analysis

Meyer

Kantz

2019

New J. Phys.

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Exploiting recent progress in the theoretical understanding of detrended fluctuation analysis (DFA), we use the non-asymptotic properties of the fluctuation function in order to extract more information from time series data than just its Hurst exponent. In particular, we can identify exponential relaxation and oscillation periods and estimate their specific values. We illustrate the strength of this method through applications to climate data. Thereby, we determine the relaxation time of the atmospheric response to perturbations. We also find by DFA a period length of the dominant frequency mode of the El Niño Southern Oscillation to be 3.3 years.

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Temperature annual cycle variations and responses to surface solar radiation in China between 1960 and 2016

Zhao

Wang

et al. 2020

Intl Journal of Climatology

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The annual temperature cycle affects atmospheric circulation, biomass cycling, and human life. Its variation is influenced by surface solar radiation, which plays a key role in surface energy budgets. In this study, the Fourier transform method is used to analyse the spatial distribution and long-term variations in temperature phase, amplitude, and baseline terms between 1960 and 2016 in China. Mean surface air temperature has a north-south gradient for phase, amplitude, and baseline. The regional mean phase values of the maximum, minimum, and mean temperatures in South China are larger than in North China, indicating that the timing of the annual cycle in Southern China is several days later than in Northern China. At the national scale, the annual maximum, minimum, and mean surface air temperature cycles are advancing, decreasing in range, and have a rising baseline. Linear regression is used to quantify the effect of surface solar radiation on temperature by removing its contribution on the raw maximum and mean temperatures. The surface solar radiation increases the phase of maximum and mean daily air temperatures, but reduces the amplitude and baseline. The surface solar radiation effect on maximum temperature is especially significant on the Yunnan-Guizhou Plateau located in the south-southwest. The phase of maximum temperature adjusted for solar radiation for the Plateau is similar to South China at the same latitude and later than the raw maximum temperature.

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The impact of inter-annual variability of annual cycle on long-term persistence of surface air temperature in long historical records

Cited by 21 publications

References 46 publications

Amplified warming of seasonal cold extremes relative to the mean in the Northern Hemisphere extratropics

Amplified warming of seasonal cold extremes relative to the mean in the Northern Hemisphere extratropics

Inferring characteristic timescales from the effect of autoregressive dynamics on detrended fluctuation analysis

Temperature annual cycle variations and responses to surface solar radiation in China between 1960 and 2016

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