Low-frequency temperature variations from a northern tree ring density network

2001 ◽  
Vol 106 (D3) ◽  
pp. 2929-2941 ◽  
Author(s):  
Keith R. Briffa ◽  
Timothy J. Osborn ◽  
Fritz H. Schweingruber ◽  
Ian C. Harris ◽  
Philip D. Jones ◽  
...  
Keyword(s):  
Tree Ring ◽  
Low Frequency ◽  
Temperature Variations ◽  
Ring Density ◽  
Frequency Temperature

Northern European summer temperature variations over the Common Era from integrated tree-ring density records

2014 ◽  
Vol 29 (5) ◽  
pp. 487-494 ◽  
Author(s):  
JAN ESPER ◽  
ELISABETH DÜTHORN ◽  
PAUL J. KRUSIC ◽  
MAURI TIMONEN ◽  
ULF BÜNTGEN
Keyword(s):  
Tree Ring ◽  
Summer Temperature ◽  
Temperature Variations ◽  
Ring Density ◽  
Northern European ◽  
The Common ◽  
Common Era

scholarly journals 1200 years of warm-season temperature variability in central Scandinavia inferred from tree-ring density

2016 ◽  
Vol 12 (6) ◽  
pp. 1297-1312 ◽  
Author(s):  
Peng Zhang ◽  
Hans W. Linderholm ◽  
Björn E. Gunnarson ◽  
Jesper Björklund ◽  
Deliang Chen
Keyword(s):  
Tree Ring ◽  
Regional Differences ◽  
Low Frequency ◽  
Warm Season ◽  
Local Environment ◽  
Temperature Variability ◽  
Ice Age ◽  
Last Millennium ◽  
Ring Density ◽  
Temperature Reconstructions

Abstract. Despite the emergence of new high-resolution temperature reconstructions around the world, only a few cover the Medieval Climate Anomaly (MCA). Here we present C-Scan, a new Scots pine tree-ring density-based reconstruction of warm-season (April–September) temperatures for central Scandinavia back to 850 CE, extending the previous reconstruction by 250 years. C-Scan is based on samples collected in a confined mountain region, adjusted for their differences in altitude and local environment, and standardised using the new RSFi algorithm to preserve low-frequency signals. In C-Scan, the warm peak of MCA occurs ca. 1000–1100 CE, and the Little Ice Age (LIA) between 1550 and 1900 CE. Moreover, during the last millennium the coldest decades are found around 1600 CE, and the warmest 10 and 30 years occur in the most recent century. By comparing C-Scan with other millennium-long temperature reconstructions from Fennoscandia, regional differences in multi-decadal temperature variability, especially during the warm period of the last millennium are revealed. Although these differences could be due to methodological reasons, they may indicate asynchronous warming patterns across Fennoscandia. Further investigation of these regional differences and the reasons and mechanisms behind them are needed.

scholarly journals Growth and yield estimation of Chamaecyparis spp. through tree ring analysis

2013 ◽  
Vol 22 (2) ◽  
pp. 36-42 ◽  
Author(s):  
D. K. Kharal ◽  
T. Fujiwara
Keyword(s):  
Tree Ring ◽  
Radial Growth ◽  
Ring Width ◽  
Forest Products ◽  
Growth And Yield ◽  
Tree Age ◽  
Biomass Estimation ◽  
Tree Ring Analysis ◽  
Ring Density ◽  
Ring Analysis

Tree ring analysis is one of the most useful methods in volume and biomass estimation especially of the conifer trees. Ring width and ring density are important parameters in dendrochronological research. The present research was carried out with the aim of estimating the radial and volumetric growth of the Japanese Cypress trees (Chamaecyperis obstusa and C. pisifera). Destructive method was used while collecting the wood samples from the selected trees. Ring width and ring density were measured using soft X-ray densitometry method using micro-densitometer. Computer programme, developed by the Forestry and Forest Products Research Institute, Japan was used to analyze the ring with and ring density data. The average ring width of the Chamaecyparis spp. was found to be about 3.4 mm at the age of 30 years. However, two types of growth pattern were observed in the trees. Average radial growth was about 5% every year during the first 20 years of the tree age, whereas, the average radial growth was negative during the age of 20–30 years. Average density of the tree rings were increased by about 11% in each height of the trees starting from the ground. Similarly, the stem density decreased by about 3.4% annually along the radial direction from the pith.DOI: http://dx.doi.org/10.3126/banko.v22i2.9197Banko Janakari: A Journal of Forestry Information for NepalVol. 22, No. 2, 2012 November Page: 36-42 Uploaded date: 12/1/2013 

A Preliminary Reconstruction of Rainfall in North-Central China since A.D. 1600 from Tree-Ring Density and Width

1994 ◽  
Vol 42 (1) ◽  
pp. 88-99 ◽  
Author(s):  
Malcolm K. Hughes ◽  
Wu Xiangding ◽  
Shao Xuemei ◽  
Gregg M. Garfin
Keyword(s):  
Tree Ring ◽  
Spectral Power ◽  
Singular Spectrum Analysis ◽  
Ring Width ◽  
Central China ◽  
North Central ◽  
Ring Density ◽  
Maximum Latewood Density ◽  
Documentary Sources ◽  
Latewood Density

AbstractMay-June (MJ) and April-July (AJ) precipitation at Huashan in north-central China has been reconstructed for the period A.D. 1600 to 1988 using tree-ring density and width fromPinus armandii. MJ precipitation (based on ring width and maximum latewood density) calibrated and cross-validated against local instrumental data more strongly than AJ precipitation (based only on ring width). A major drought was reconstructed for the mid- and late 1920s, confirmed by local documentary sources. This drought (culminating in 1929) was the most severe of the 389-yr period for MJ and second most severe for AJ, after an event ending in 1683. Neither reconstruction shows much spectral power at frequencies lower than 1 in 10 yr, but both show concentrations of power between 2.1 and 2.7 yr and 3.5 to 9 yr. There are significant correlations between the two reconstructions and a regional dryness/wetness index (DW) based on documentary sources, particularly at high frequencies. These correlations are focused in the 7.6- to 7.3-, 3.8- to 3.6-, and 2.5-yr periods. Using singular spectrum analysis, quasiperiodic behavior with a period close to 7.2 yr was identified in the MJ precipitation reconstruction and in the DW index based on documents.

Tree-ring variables as proxy-climate indicators: Problems with low-frequency signals

1996 ◽  
pp. 9-41 ◽  
Author(s):  
Keith R Briffa ◽  
Philip D Jones ◽  
Fritz H Schweingruber ◽  
Wibjörn Karlén ◽  
Stepan G Shiyatov
Keyword(s):  
Tree Ring ◽  
Low Frequency ◽  
Climate Indicators
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