Analysis of the interdecadal variability of summer precipitation in central Japan using a reconstructed 106 year long oxygen isotope record from tree ring cellulose

Abstract

We present a unique proxy for reconstructing the interannual variability of summer precipitation associated with the quasi‐stationary front (Baiu front) in central Japan. The rainfall from the Baiu front has a relatively lower oxygen isotopic composition than other types of nonfrontal precipitation. The variability in the oxygen isotopes in summer rainfall is closely related to the Baiu frontal activity. In this study we used a mechanistic tree ring isotope model to reconstruct a 106 year long oxygen isotopic composition of precipitation during the early rainy season (June) based on the oxygen isotopic compositions of the annual rings of Chamaecyparis obtusa Endl trees from central Japan. The year‐to‐year variations of the isotopes over the most recent 25 years are associated with several teleconnection patterns that often lead to the Baiu precipitation anomalies in central Japan (such as the Pacific‐Japan (PJ) pattern, Silk Road pattern, and wave train pattern along the polar jet). Yet none of these external forcing mechanisms apply further back in time. From the 1950s to 1980s, the interannual isotopic variability is predominantly related to local factors such as anomalous intensification/weakening of the Bonin High. Before the 1950s, the variability of the oxygen isotopic composition of precipitation is mainly associated with a wave train pattern along the polar jet. The isotopic variability is predominantly linked to the PJ pattern, while the PJ index is correlated with El Niño–Southern Oscillation. These findings suggest that the teleconnection patterns influencing Baiu precipitation variability vary according to interdecadal time scales during the twentieth century.

Climate Response of Oxygen Isotopic Compositions in Tree-Ring Cellulose in Java: Evaluation Using a Proxy System Model

“…The tree-ring cellulose oxygen isotope model used for this study is based on the model reported by Kurita et al [8], as modified from Roden et al [7]. It is a mechanistic model used to quantify both physical and biochemical fractionation associated with treering cellulose δ 18 O, including the uptake of soil water (source water), transpiration and photosynthesis in leaves, and cellulose synthesis.…”

“…The model was applied to the transpiration of leaf water [13]. Leaf water δ 18 O is given as [8,14] =…”

“…Because tree-ring cellulose δ 18 O is influenced by several hydrological factors such as precipitation, relative humidity, and temperature, it is generally difficult to estimate each element. A forward model of the tree-ring cellulose δ 18 O, a so-called a proxy system model, has already been established and can predict isotopic compositions precisely by giving the surrounding meteorological data [7,8]. Proxy system models are able to address the issues how various meteorological conditions affect tree-ring cellulose δ 18 O, and help to elucidate tree-ring cellulose δ 18 O as paleoclimate proxy.…”

“…Proxy system models are able to address the issues how various meteorological conditions affect tree-ring cellulose δ 18 O, and help to elucidate tree-ring cellulose δ 18 O as paleoclimate proxy. In this study, we performed model calculations using the proxy system model modified by Kurita et al [8], in order to identify the key hydroclimate factor control on δ 18 O variability of tree-ring cellulose of Javanese teak in Indonesia. In this study, we also presented the calibration of a proxy system model and the detail process how teak δ 18 O records the environmental conditions.…”

Dendroclimatic Reconstruction of Summer Temperature at the Akaishi Mountains since A.D. 1774

“…) 。また，年輪における酸素同位体比が 相対湿度や降水量との相関が高いことから，降水 や水循環の指標として期待されている (Kurita et al, 2016;Sakashita et al, 2017) 。一方で，農 業の生産性に大きく関与する夏期の気温の復元に ついてはまだ知見が少ない (Davi et al, 2002) 。 これまで温帯から亜寒帯にかけて，針葉樹の年 輪内最大密度が夏期の気温を反映する指標とし て用いられている (Parker and Henoch, 1971;Schweingruber et al, 1978;Yasue et al, 1998 (Cook et al, 2013) . adj ：自由度調整済み決定係数， **，*：p < 0.01 および 0.05 で有意．正の RE，CE は推定値と実測値の一致性が偶然による変動より大きいことを示す． The entire period of meteorological data was divided into early half (1898⊖1949) and late half (1950⊖2001) .…”