Cold-season temperature variability in the Swiss Alps since AD 1100; a quantitative reconstruction using chrysophyte stomatocysts

2012 ◽  
Vol 279-280 ◽  
pp. 110
Author(s):  
Rixt de Jong
2008 ◽  
Vol 21 (1) ◽  
pp. 94-113 ◽  
Author(s):  
Kit K. Szeto

Abstract The Mackenzie River basin (MRB) in northwestern Canada is a climatologically important region that exerts significant influences on the weather and climate of North America. The region exhibits the largest cold-season temperature variability in the world on both the intraseasonal and interannual time scales. In addition, some of the strongest recent warming signals have been observed over the basin. To understand the nature of these profound and intriguing observed thermal characteristics of the region, its atmospheric heat budget is assessed by using the NCEP–NCAR reanalysis dataset. The composite heat budgets and large-scale atmospheric conditions that are representative of anomalous winters in the region are examined in unison to study the processes that are responsible for the development of extreme warm/cold winters in the MRB. It is shown that the large winter temperature variability of the region is largely a result of the strong variability of atmospheric circulations over the North Pacific, the selective enhancement/weakening of latent heating of the cross-barrier flow for various onshore flow configurations, and synoptic-scale feedback processes that accentuate the thermal response of the basin to the changes in upwind conditions. The improved understanding of mechanisms that govern the thermal response of the basin to changes in the upstream environment provides a theoretical basis to interpret the climate change and modeling results for the region. In particular, the large recent warming trend observed for the region can be understood as the enhanced response of the basin to the shift in North Pacific circulation regime during the mid-1970s. The strong cold bias that affected the region in some climate model results can be attributed to the underprediction of orographic precipitation and associate latent heating of the cross-barrier flow, and the subsequent weakening of mean subsidence and warming over the basin in the models.


2020 ◽  
pp. 1-44
Author(s):  
Aiguo Dai ◽  
Jiechun Deng

AbstractArctic amplification (AA) reduces meridional temperature gradients (dT/dy) over the northern mid-high latitudes, which may weaken westerly winds. It is suggested that this may lead to wavier and more extreme weather in midlatitudes. However, temperature variability is shown to decrease over northern mid-high latitudes under increasing greenhouse gases due to reduced dT/dy. Here, through analyses of coupled model simulations and ERA5 reanalysis, it is shown that consistent with previous studies cold-season surface and lower-mid tropospheric temperature (T) variability decreases over northern mid-high latitudes even in simulations with suppressed AA and sea-ice loss under increasing CO2; however, AA and sea-ice loss further reduce the T variability greatly, leading to a narrower probability distribution and weaker cold or warm extreme events relative to future mean climate. Increased CO2 strengthens meridional wind (v) with a wavenumer-4 pattern but weakens meridional thermal advection (-v dT/dy) over most northern mid-high latitudes, and AA weakens the climatological v and (-v dT/dy). The weakened thermal advection and its decreased variance are the primary cause of the T variability decrease, which is enlarged by a positive feedback between the variability of T and (-v dT/dy). AA not only reduces dT/dy, but also its variance, which further decreases T variability through (-v dT/dy). While the mean snow and ice cover decreases, its variability increases over many northern latitudes, and these changes do not weaken the T variability. Thus, AA’s influence on midlatitude temperature variability comes mainly from its impact on thermal advection, rather than on winds as previously thought.


Author(s):  
Thomas J. Ballinger ◽  
Edward Hanna ◽  
Richard J. Hall ◽  
J. Rachel Carr ◽  
Saber Brasher ◽  
...  

2011 ◽  
Vol 24 (23) ◽  
pp. 6243-6258 ◽  
Author(s):  
Paul J. Young ◽  
David W. J. Thompson ◽  
Karen H. Rosenlof ◽  
Susan Solomon ◽  
Jean-François Lamarque

Abstract Previous studies have shown that lower-stratosphere temperatures display a near-perfect cancellation between tropical and extratropical latitudes on both annual and interannual time scales. The out-of-phase relationship between tropical and high-latitude lower-stratospheric temperatures is a consequence of variability in the strength of the Brewer–Dobson circulation (BDC). In this study, the signal of the BDC in stratospheric temperature variability is examined throughout the depth of the stratosphere using data from the Stratospheric Sounding Unit (SSU). While the BDC has a seemingly modest signal in the annual cycle in zonal-mean temperatures in the mid- and upper stratosphere, it has a pronounced signal in the month-to-month and interannual variability. Tropical and extratropical temperatures are significantly negatively correlated in all SSU channels on interannual time scales, suggesting that variations in wave driving are a major factor controlling global-scale temperature variability not only in the lower stratosphere (as shown in previous studies), but also in the mid- and upper stratosphere. The out-of-phase relationship between tropical and high latitudes peaks at all levels during the cold-season months: December–March in the Northern Hemisphere and July–October in the Southern Hemisphere. In the upper stratosphere, the out-of-phase relationship with high-latitude temperatures extends beyond the tropics and well into the extratropics of the opposite hemisphere. The seasonal cycle in stratospheric temperatures follows the annual march of insolation at all levels and latitudes except in the mid- to upper tropical stratosphere, where it is dominated by the semiannual oscillation. Mid- to upper-stratospheric temperatures also exhibit a distinct but small semiannual cycle at extratropical latitudes.


2021 ◽  
Vol 11 (3) ◽  
pp. 397-405
Author(s):  
L.S. Banshchikova ◽  
◽  
A.E. Sumachev ◽  

The paper considers the long-term spatial and temporal air temperature variability on the Kola Peninsula according to 26 hydro-meteorological stations and the ice regime of rivers according to 13 hydrological stations for 1950—2018 (base period 1950—1980, and control period 1981—2018). The cold season of the year on the Kola Peninsula lasts from October to the first decade of May, the average temperature for the season is –6.2°C. The average increase in air temperature during the cold season was 1.1 °C.


Boreas ◽  
2017 ◽  
Vol 47 (2) ◽  
pp. 443-453 ◽  
Author(s):  
Daniel Balanzategui ◽  
Antje Knorr ◽  
Karl-Uwe Heussner ◽  
Tomasz Wazny ◽  
Wolfgang Beck ◽  
...  

2018 ◽  
Vol 8 (4) ◽  
pp. 41
Author(s):  
SANGEETA MANGESH ◽  
KRISHAN K. SAINI ◽  
CHOPRA P. K. ◽  
◽  
◽  
...  

2000 ◽  
Vol 151 (10) ◽  
pp. 385-397
Author(s):  
Bernard Primault

Many years ago, a model was elaborated to calculate the«beginning of the vegetation's period», based on temperatures only (7 days with +5 °C temperature or more). The results were correlated with phenological data: the beginning of shoots with regard to spruce and larch. The results were not satisfying, therefore, the value of the two parameters of the first model were modified without changing the second one. The result, however, was again not satisfying. Research then focused on the influence of cumulated temperatures over thermal thresholds. Nevertheless, the results were still not satisfying. The blossoming of fruit trees is influenced by the mean temperature of a given period before the winter solstice. Based on this knowledge, the study evaluated whether forest trees could also be influenced by temperature or sunshine duration of a given period in the rear autumn. The investigation was carried through from the first of January on as well as from the date of snow melt of the following year. In agricultural meteorology, the temperature sums are often interrelated with the sunshine duration, precipitation or both. However,the results were disappointing. All these calculations were made for three stations situated between 570 and 1560 m above sea-level. This allowed to draw curves of variation of the two first parameters (number of days and temperature) separately for each species observed. It was finally possible to specify the thus determined curves with data of three other stations situated between the first ones. This allows to calculate the flushing of the two tree species, if direct phenological observation is lacking. This method, however, is only applicable for the northern part of the Swiss Alps.


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