NOAA/WDS Paleoclimatology - Köse - Kayakise Kayaliklari - PINI - ITRDB TURK052

Köse, N.;Güner, H.T.

Description

The meteorological observational period in Turkey, which starts ca. 1930 CE, is too short for understanding long-term climatic variability. Tree rings have been used intensively as proxy records to understand summer precipitation history of the region, primarily because they have a dominant precipitation signal. Yet, the historical context of temperature variability is unclear. Here, we used higher-order principle components of a network of 23 tree-ring chronologies to provide a high-resolution spring (March-April) temperature reconstruction over Turkey during the period 1800-2002. The reconstruction model accounted for 67 % (Adj. R2 =  0.64, p < 0.0001) of the instrumental temperature variance over the full calibration period (1930-2002). The reconstruction is punctuated by a temperature increase during the 20th century; yet extreme cold and warm events during the 19th century seem to eclipse conditions during the 20th century. We found significant correlations between our March-April spring temperature reconstruction and existing gridded spring temperature reconstructions for Europe over Turkey and southeastern Europe. Moreover, the precipitation signal obtained from the tree-ring network (first principle component) showed highly significant correlations with gridded summer drought index reconstruction over Turkey and Mediterranean countries. Our results showed that, beside the dominant precipitation signal, a temperature signal can be extracted from tree-ring series and they can be useful proxies in reconstructing past temperature variability.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.7

FAIR Score

15%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

NOAA National Centers for Environmental Information

Assigned Domain

Subfield

Global and Planetary Change

Field

Environmental Science

Domain

Physical Sciences

Confidence Score

45%

Source

Scholar Data Model

Normalization Factors

FT

40.38

CTw

1.00

MTw

1.00