Comparison of the dryness/wetness index in China with the Monsoon Asia Drought Atlas

Yang, Fengmei; Shi, Feng; Kang, Shaozhong; Wang, Shigong; Xiao, Ziniu; Nakatsuka, Takeshi; Shi, Jun

doi:10.1007/s00704-013-0858-4

Cited by 34 publications

(21 citation statements)

References 38 publications

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“…Recently, Yang et al . [] reconstructed DWI from Chinese historical documents covering the 120 documented sites onto a 2.5° (latitude) × 2.5° (longitude) grid. The index has five grades derived from Chinese historical documents: very wet (grade 1), wet (grade 2), normal (grade 3), dry (grade 4), and very dry (grade 5).…”

Section: Methodsmentioning

confidence: 73%

“…[17] The dryness/wetness index (DWI) [Zhang, 1988;Zhang and Liu, 1993;Zhang et al, 2003] that is derived from Chinese historical documents in eastern China has been widely used to analyze climate changes of the past in eastern China [Song, 2000;Zheng et al, 2006]. Recently, Yang et al [2013] reconstructed DWI from Chinese historical documents covering the 120 documented sites onto a 2.5°(latitude) × 2.5°(longitude) grid. The index has five grades derived from Chinese historical documents: very wet (grade 1), wet (grade 2), normal (grade 3), dry (grade 4), and very dry (grade 5).…”

Section: Climate Analysis and Statistical Analysismentioning

confidence: 99%

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Oxygen isotope signatures preserved in tree ring cellulose as a proxy for April–September precipitation in Fujian, the subtropical region of southeast China

Zheng

Nakatsuka

et al. 2013

JGR Atmospheres

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A tree ring cellulose oxygen isotope (δ18O) chronology for the period 1870–2011 was established using samples from four Fokienia hodginsii trees with the aim of exploring the potential to use tree ring δ18O records to reconstruct climatic variations in Fujian, a subtropical region of southeast China. We believe that this is the first tree ring δ18O chronology from this area. Response analysis revealed that tree ring δ18O is significantly correlated with precipitation between April and September, relative humidity between August and October, and the Palmer drought severity index between April and October. Our δ18O chronology accounts for 37.4% (24.6%) of actual variation in precipitation between April and September during the period from 1951 to 2011 (1901 to 2011). Spatial correlation analysis revealed that tree ring cellulose δ18O is a suitable proxy for reconstructing April–September precipitation in Fujian, as well as in parts of Guangdong and Jiangxi, southeast China. In addition, significant correlations between δ18O chronology and the Indian summer monsoon index show that large‐scale atmosphere circulation also influences tree ring δ18O. Comparisons between the tropical Pacific sea surface temperature (SST) and tree ring δ18O, during the period from 1895 to 2009, indicate that the tropical Pacific SST is positively correlated with tree ring δ18O in the study region over the last 110 years, except between 1920 and 1960. Reduced El Niño–Southern Oscillation (ENSO) variance from 1920 to 1960 may result in collapsed relationship between tree ring δ18O in Fujian and tropical Pacific SST.

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Section: Methodsmentioning

confidence: 73%

Section: Climate Analysis and Statistical Analysismentioning

confidence: 99%

Oxygen isotope signatures preserved in tree ring cellulose as a proxy for April–September precipitation in Fujian, the subtropical region of southeast China

Zheng

Nakatsuka

et al. 2013

JGR Atmospheres

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“…There are weak correlations between the reconstructions in eastern China even though the correlation coefficients are significant in some regions. The MADA is not consistent with the DWI records in eastern China, since only very few and short treering width chronologies in eastern China are used to reconstruct the MADA (Yang et al, 2013a(Yang et al, , 2014aKang et al, 2014;Zheng et al, 2014b;Ge et al, 2016).…”

Section: Resultsmentioning

confidence: 99%

“…For example, the tree-ring-based reconstruction of the MADA provides significant insights into past drought patterns in eastern Asia (Cook et al, 2010), but it performs poorly in reproducing dryness and wetness in eastern China because it only incorporates data from one short tree-ring width chronology from eastern China. Consequently, it would be invalid to extrapolate objective gridded drought variability on the basis of remote tree-ring records in western China (Yang et al, 2013a). Thus, a good option to obtain a regional pattern of precipitation is to use a PPR-based method in conjunction with multi-proxy records with good spatial coverage.…”

Section: Introductionmentioning

confidence: 99%

Multi-proxy reconstructions of May–September precipitation field in China over the past 500 years

et al. 2017

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Abstract.The dominant modes of variability of precipitation for the whole of China over the past millennium and the mechanism governing their spatial structure remain unclear. This is mainly due to insufficient high-resolution proxy records of precipitation in western China. Numerous treering chronologies have recently been archived in publicly available databases through PAGES2k activities, and these provide an opportunity to refine precipitation field reconstructions for China. Based on 479 proxy records, including 371 tree-ring width chronologies, a tree-ring isotope chronology, and 107 drought/flood indices, we reconstruct the precipitation field for China for the past half millennium using the optimal information extraction method. A total of 3631 of 4189 grid points in the reconstruction field passed the cross-validation process, accounting for 86.68 % of the total number of grid points. The first leading mode of variability of the reconstruction shows coherent variations over most of China. The second mode is a north-south dipole in eastern China characterized by variations of the same sign in western China and northern China (except for Xinjiang province). It is likely controlled by the El Niño-Southern Oscillation (ENSO) variability. The third mode is a "sandwich" triple mode in eastern China including variations of the same sign in western China and central China. The last two modes are reproduced by most of the six coupled climate models' last millennium simulations performed in the framework of the Paleoclimate Modelling Intercomparison Project Phase III (PMIP3). In particular, the link of the second mode with ENSO is confirmed by the models. However, there is a mismatch between models and proxy reconstructions in the time development of different modes. This mismatch suggests the important role of internal variability in the reconstructed precipitation mode variations of the past 500 years.

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“…However, this temperature reconstruction is based only on tree-ring data and so any underlying low-frequency variability may not be well represented (Cook et al 2013). Moreover, the number of tree-ring chronologies from eastern China is still too limited to accurately describe climate variations there (Yang et al 2013).…”

Section: Introductionmentioning

confidence: 99%

A multi-proxy reconstruction of spatial and temporal variations in Asian summer temperatures over the last millennium

Shi

Yang

et al. 2015

Climatic Change

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To investigate climate variability in Asia during the last millennium, the spatial and temporal evolution of summer (June-July-August; JJA) temperature in eastern and south-central Asia is reconstructed using multi-proxy records and the regularized expectation maximization (RegEM) algorithm with truncated total least squares (TTLS), under a point-by-point regression (PPR) framework. The temperature index reconstructions show that the late 20th century was the Institute of Geography, Russian Academy of Sciences, Moscow, Russia warmest period in Asia over the past millennium. The temperature field reconstructions illustrate that temperatures in central, eastern, and southern China during the 11th and 13th centuries, and in western Asia during the 12th century, were significantly higher than those in other regions, and comparable to levels in the 20th century. Except for the most recent warming, all identified warm events showed distinct regional expressions and none were uniform over the entire reconstruction area. The main finding of the study is that spatial temperature patterns have, on centennial timescales, varied greatly over the last millennium. Moreover, seven climate model simulations, from the Coupled Model Intercomparison Project Phase 5 (CMIP5), over the same region of Asia, are all consistent with the temperature index reconstruction at the 99 % confidence level. Only spatial temperature patterns extracted as the first empirical orthogonal function (EOF) from the GISS-E2-R and MPI-ESM-P model simulations are significant and consistent with the temperature field reconstruction over the past millennium in Asia at the 90 % confidence level. This indicates that both the reconstruction and the simulations depict the temporal climate variability well over the past millennium. However, the spatial simulation or reconstruction capability of climate variability over the past millennium could be still limited. For reconstruction, some grid points do not pass validation tests and reveal the need for more proxies with high temporal resolution, accurate dating, and sensitive temperature signals, especially in central Asia and before AD 1400.

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Comparison of the dryness/wetness index in China with the Monsoon Asia Drought Atlas

Cited by 34 publications

References 38 publications

Oxygen isotope signatures preserved in tree ring cellulose as a proxy for April–September precipitation in Fujian, the subtropical region of southeast China

Oxygen isotope signatures preserved in tree ring cellulose as a proxy for April–September precipitation in Fujian, the subtropical region of southeast China

Multi-proxy reconstructions of May–September precipitation field in China over the past 500 years

A multi-proxy reconstruction of spatial and temporal variations in Asian summer temperatures over the last millennium

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