A reconstructed Siberian High index since A.D. 1599 from Eurasian and North American tree rings

D’Arrigo, Rosanne; Jacoby, Gordon C.; Wilson, Rob; Panagiotopoulos, Fotis

doi:10.1029/2004gl022271

Cited by 66 publications

(71 citation statements)

References 25 publications

(59 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Spectral analyses indicate significant (α = 0.05) peaks at 11.6 year, 7.1 year and 3.3 year in the Jungar, and at 21.8 year and 6.3 year in the Trans-Ili ring variance. The spectral peaks are in agreement with significant modes of variability seen in winter atmospheric oscillations such as the Siberian High index (SH), East Asian Winter Monsoon (EAWM) and Arctic Oscillation [34][35][36]. Figure S1.…”

Section: Apple Growth Variationssupporting

confidence: 61%

See 1 more Smart Citation

Wild Apple Growth and Climate Change in Southeast Kazakhstan

Panyushkina

Mukhamadiev

Lynch

et al. 2017

Forests

View full text Add to dashboard Cite

Wild populations of Malus sieversii [Ldb.] M. Roem are valued genetic and watershed resources in Inner Eurasia. These populations are located in a region that has experienced rapid and on-going climatic change over the past several decades. We assess relationships between climate variables and wild apple radial growth with dendroclimatological techniques to understand the potential of a changing climate to influence apple radial growth. Ring-width chronologies spanning 48 to 129 years were developed from 12 plots in the Trans-Ili Alatau and Jungar Alatau ranges of Tian Shan Mountains, southeastern Kazakhstan. Cluster analysis of the plot-level chronologies suggests different temporal patterns of growth variability over the last century in the two mountain ranges studied. Changes in the periodicity of annual ring-width variability occurred ca. 1970 at both mountain ranges, with decadal-scale variability supplanted by quasi-biennial variation. Seascorr correlation analysis of primary and secondary weather variables identified negative growth associations with spring precipitation and positive associations with cooler fall-winter temperatures, but the relative importance of these relationships varied spatially and temporally, with a shift in the relative importance of spring precipitation ca. 1970 at Trans-Ili Alatau. Altered apple tree radial growth patterns correspond to altered climatology in the Lake Balkhash Basin driven by unprecedented intensified Arctic Oscillations after the late 1970s.

show abstract

Section: Apple Growth Variationssupporting

confidence: 61%

“…Both composite chronologies show considerable annual variation in apple growth and longer-period variance changes frequency in the late 1970s ( Figure 5 [34][35][36]. (Table S1) calculated with single linkage of Ward minimum variance method.…”

Section: Apple Growth Variationsmentioning

confidence: 99%

Wild Apple Growth and Climate Change in Southeast Kazakhstan

Panyushkina

Mukhamadiev

Lynch

et al. 2017

Forests

View full text Add to dashboard Cite

show abstract

“…During this period, other large-scale circulation phenomena such as the Siberian High (reconstructed by Meeker and Mayewski, 2002) might have gained more importance in the study area. Although the Siberian High has been observed to extert a large influence on air temperatures especially in Asia (Gong and Ho, 2002) and the Pacific (D'Arrigo et al, 2005), also eastern parts of Europe are under the influence of this anticyclonic field (Katsoulis et al, 1998). de Jong et al (2013b), for example, found evidence of strong influence of the Siberian High on central Alpine winter temperatures during the LIA, implying that the influence of the Siberian winter anticyclone extended over Central Europe as far as the eastern Swiss Alps.…”

Section: Factors Controlling Winter Severitymentioning

confidence: 95%

A chrysophyte-based quantitative reconstruction of winter severity from varved lake sediments in NE Poland during the past millennium and its relationship to natural climate variability

Hernández‐Almeida

Grosjean

Przybylak

et al. 2015

Quaternary Science Reviews

View full text Add to dashboard Cite

a b s t r a c tChrysophyte cysts are recognized as powerful proxies of cold-season temperatures. In this paper we use the relationship between chrysophyte assemblages and the number of days below 4 C (DB4 C) in the epilimnion of a lake in northern Poland to develop a transfer function and to reconstruct winter severity in Poland for the last millennium. DB4 C is a climate variable related to the length of the winter. Multivariate ordination techniques were used to study the distribution of chrysophytes from sediment traps of 37 low-land lakes distributed along a variety of environmental and climatic gradients in northern Poland. Of all the environmental variables measured, stepwise variable selection and individual Redundancy analyses (RDA) identified DB4 C as the most important variable for chrysophytes, explaining a portion of variance independent of variables related to water chemistry (conductivity, chlorides, K, sulfates), which were also important. A quantitative transfer function was created to estimate DB4 C from sedimentary assemblages using partial least square regression (PLS). The twocomponent model (PLS-2) had a coefficient of determination of R 2 cross ¼ 0.58, with root mean squared error of prediction (RMSEP, based on leave-one-out) of 3.41 days. The resulting transfer function was applied to an annually-varved sediment core from Lake _ Zabi nskie, providing a new sub-decadal quantitative reconstruction of DB4 C with high chronological accuracy for the period AD 1000e2010. During Medieval Times (AD 1180e1440) winters were generally shorter (warmer) except for a decade with very long and severe winters around AD 1260e1270 (following the AD 1258 volcanic eruption). The 16th and 17th centuries and the beginning of the 19th century experienced very long severe winters. Comparison with other European cold-season reconstructions and atmospheric indices for this region indicates that large parts of the winter variability (reconstructed DB4 C) is due to the interplay between the oscillations of the zonal flow controlled by the North Atlantic Oscillation (NAO) and the influence of continental anticyclonic systems (Siberian High, East Atlantic/Western Russia pattern). Differences with other European records are attributed to geographic climatological differences between Poland and Western Europe (Low Countries, Alps). Striking correspondence between the combined volcanic and solar forcing and the DB4 C reconstruction prior to the 20th century suggests that winter climate in Poland responds mostly to natural forced variability (volcanic and solar) and the influence of unforced variability is low.

show abstract

“…The Siberian high or anticyclone is a quasi-stationary and semipermanent feature of the climate system, with major implications for the climate of Eurasia (D'Arrigo et al 2005;Panagiotopoulos et al 2005), particularly the monsoon systems of the region. It is most dominant during the boreal winter.…”

Section: E Initial Evaluations Of Other Climatic Features In Hadslp2mentioning

confidence: 99%

A New Globally Complete Monthly Historical Gridded Mean Sea Level Pressure Dataset (HadSLP2): 1850–2004

2006

View full text Add to dashboard Cite

An upgraded version of the Hadley Centre's monthly historical mean sea level pressure (MSLP) dataset (HadSLP2) is presented. HadSLP2 covers the period from 1850 to date, and is based on numerous terrestrial and marine data compilations. Each terrestrial pressure series used in HadSLP2 underwent a series of quality control tests, and erroneous or suspect values were either corrected, where possible, or removed. Marine observations from the International Comprehensive Ocean Atmosphere Data Set were quality controlled (assessed against climatology and near neighbors) and then gridded. The final gridded form of HadSLP2 was created by blending together the processed terrestrial and gridded marine MSLP data. MSLP fields were made spatially complete using reduced-space optimal interpolation. Gridpoint error estimates were also produced.HadSLP2 was found to have generally stronger subtropical anticyclones and higher-latitude features across the Northern Hemisphere than an earlier product (HadSLP1). During the austral winter, however, it appears that the pressures in the southern Atlantic and Indian Ocean midlatitude regions are too high; this is seen in comparisons with both HadSLP1 and the 40-yr ECMWF Re-Analysis (ERA-40). Over regions of high altitude, HadSLP2 and ERA-40 showed consistent differences suggestive of potential biases in the reanalysis model, though the region over the Himalayas in HadSLP2 is biased compared with HadSLP1 and improvements are required in this region. Consistent differences were also observed in regions of sparse data, particularly over the higher latitudes of the Southern Ocean and in the southeastern Pacific. Unlike the earlier HadSLP1 product, error estimates are available with HadSLP2 to guide the user in these regions of low confidence.An evaluation of major phenomena in the climate system using HadSLP2 provided further validation of the dataset. Important climatic features/indices such as the North Atlantic Oscillation, Arctic Oscillation, North Pacific index, Southern Oscillation index, Trans-Polar index, Antarctic Oscillation, Antarctic Circumpolar Wave, East Asian Summer Monsoon index, and the Siberian High index have all been resolved in HadSLP2, with extensions back to the mid-nineteenth century.

show abstract

A reconstructed Siberian High index since A.D. 1599 from Eurasian and North American tree rings

Cited by 66 publications

References 25 publications

Wild Apple Growth and Climate Change in Southeast Kazakhstan

Wild Apple Growth and Climate Change in Southeast Kazakhstan

A chrysophyte-based quantitative reconstruction of winter severity from varved lake sediments in NE Poland during the past millennium and its relationship to natural climate variability

A New Globally Complete Monthly Historical Gridded Mean Sea Level Pressure Dataset (HadSLP2): 1850–2004

Contact Info

Product

Resources

About