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Characteristics of Temperature Change in China over the Last 2000 years and Spatial Patterns of Dryness/Wetness during Cold and Warm Periods


doi: 10.1007/s00376-017-6238-8

  • This paper presents new high-resolution proxies and paleoclimatic reconstructions for studying climate changes in China for the past 2000 years. Multi-proxy synthesized reconstructions show that temperature variation in China has exhibited significant 50-70-yr, 100-120-yr, and 200-250-yr cycles. Results also show that the amplitudes of decadal and centennial temperature variation were 1.3C and 0.7C, respectively, with the latter significantly correlated with long-term changes in solar radiation, especially cold periods, which correspond approximately to sunspot minima. The most rapid warming in China occurred over AD 1870-2000, at a rate of 0.56 0.42C (100 yr)-1; however, temperatures recorded in the 20th century may not be unprecedented for the last 2000 years, as data show records for the periods AD 981-1100 and AD 1201-70 are comparable to the present. The ensemble means of dryness/wetness spatial patterns in eastern China across all centennial warm periods illustrate a tripole pattern: dry south of 25N, wet from 25-30N, and dry to the north of 30N. However, for all centennial cold periods, this spatial pattern also exhibits a meridional distribution. The increase in precipitation over the monsoonal regions of China associated with the 20th century warming can primarily be attributed to a mega El Nio-Southern Oscillation and the Atlantic Multidecadal Oscillation. In addition, a significant association between increasing numbers of locusts and dry/cold conditions is found in eastern China. Plague intensity also generally increases in concert with wetness in northern China, while more precipitation is likely to have a negative effect in southern China.
    摘要: 本文综述了近来中国过去2000年气候变化研究中新取得的高分辨率代用资料和重建序列。结果显示: (1) 中国温度存在5070年、100120年和200250年的准周期变化, 其年代和百年际变幅分别约为1.3℃和0.7℃, 且在百年尺度上与太阳辐射的长期变化显著相关, 尤其是气温寒冷阶段与太阳活动极小期相对应。 (2) 18702000年是中国增温最快的阶段, 速率为0.56 0.42C (100 yr)-1, 但20世纪的气温记录可能并不是过去2000年未曾出现过的, 重建表明公元9811100年和12011270年间的温暖程度可与之相比。 (3) 对中国东部所有百年尺度暖期的集合平均显示其旱涝格局呈三极空间分布:25N以南偏旱, 2530N偏涝, 30N以北偏旱;而在所有百年尺度冷期旱涝格局则呈经向分布。 (4) 强厄尔尼诺南方涛动和北大西洋年代际振荡是导致20世纪中国季风区降水增加的主要原因。 (5) 在中国东部, 蝗灾与温度及降水变化显著相关, 干冷气候条件下蝗灾较多;北部地区的鼠疫与干湿变化呈正相关, 但南方地区的鼠疫却与干湿变化呈负相关。
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Manuscript History

Manuscript received: 18 October 2016
Manuscript revised: 07 March 2017
Manuscript accepted: 17 March 2017
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Characteristics of Temperature Change in China over the Last 2000 years and Spatial Patterns of Dryness/Wetness during Cold and Warm Periods

  • 1. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  • 2. University of Chinese Academy of Sciences, Beijing 100049, China

Abstract: This paper presents new high-resolution proxies and paleoclimatic reconstructions for studying climate changes in China for the past 2000 years. Multi-proxy synthesized reconstructions show that temperature variation in China has exhibited significant 50-70-yr, 100-120-yr, and 200-250-yr cycles. Results also show that the amplitudes of decadal and centennial temperature variation were 1.3C and 0.7C, respectively, with the latter significantly correlated with long-term changes in solar radiation, especially cold periods, which correspond approximately to sunspot minima. The most rapid warming in China occurred over AD 1870-2000, at a rate of 0.56 0.42C (100 yr)-1; however, temperatures recorded in the 20th century may not be unprecedented for the last 2000 years, as data show records for the periods AD 981-1100 and AD 1201-70 are comparable to the present. The ensemble means of dryness/wetness spatial patterns in eastern China across all centennial warm periods illustrate a tripole pattern: dry south of 25N, wet from 25-30N, and dry to the north of 30N. However, for all centennial cold periods, this spatial pattern also exhibits a meridional distribution. The increase in precipitation over the monsoonal regions of China associated with the 20th century warming can primarily be attributed to a mega El Nio-Southern Oscillation and the Atlantic Multidecadal Oscillation. In addition, a significant association between increasing numbers of locusts and dry/cold conditions is found in eastern China. Plague intensity also generally increases in concert with wetness in northern China, while more precipitation is likely to have a negative effect in southern China.

摘要: 本文综述了近来中国过去2000年气候变化研究中新取得的高分辨率代用资料和重建序列。结果显示: (1) 中国温度存在5070年、100120年和200250年的准周期变化, 其年代和百年际变幅分别约为1.3℃和0.7℃, 且在百年尺度上与太阳辐射的长期变化显著相关, 尤其是气温寒冷阶段与太阳活动极小期相对应。 (2) 18702000年是中国增温最快的阶段, 速率为0.56 0.42C (100 yr)-1, 但20世纪的气温记录可能并不是过去2000年未曾出现过的, 重建表明公元9811100年和12011270年间的温暖程度可与之相比。 (3) 对中国东部所有百年尺度暖期的集合平均显示其旱涝格局呈三极空间分布:25N以南偏旱, 2530N偏涝, 30N以北偏旱;而在所有百年尺度冷期旱涝格局则呈经向分布。 (4) 强厄尔尼诺南方涛动和北大西洋年代际振荡是导致20世纪中国季风区降水增加的主要原因。 (5) 在中国东部, 蝗灾与温度及降水变化显著相关, 干冷气候条件下蝗灾较多;北部地区的鼠疫与干湿变化呈正相关, 但南方地区的鼠疫却与干湿变化呈负相关。

1. Introduction
  • Knowledge about past climate can improve our understanding of natural climate variability and help us to address the question of whether modern climate change is unprecedented in a long-term context. The Intergovernmental Panel on Climate Change (IPCC, 2013) reported that average annual Northern Hemisphere (NH) temperatures over the period between 1983 and 2012 mean that this was very likely the warmest 30-year period in the last 800 years (a result that has high statistical confidence), and perhaps the warmest 30 years seen in the last 1400 years (a result that has medium statistical confidence). In addition, data show that the probability of drought occurrence has increased over the last millennium, while those that do take place have great magnitude and longer duration in many regions than have been observed since the beginning of the 20th century. Data have also been presented that indicate more mega-droughts have occurred in monsoonal Asia and that wetter conditions have prevailed in arid Central Asia and in the South American monsoonal region since the Little Ice Age (LIA——the period between AD 1450 and AD 1850) compared to the Medieval Climate Anomaly (MCA——the period between AD 950 and AD 1250).

    Continental-scale surface temperature reconstructions have been used with high confidence to demonstrate that there were multi-decadal periods during the MCA when some regions were as warm as the mid-20th century, and other times when temperatures were as high as in the late 20th century (IPCC, 2013; PAGES 2k Consortium, 2013). However, the absence of widespread instrumental climate records for periods earlier than the 20th century necessitates the use of natural climate archives or "proxy" data (e.g., tree rings, corals, ice cores, historical documentary records) for past climate reconstruction (NRC, 2006; Ge et al., 2010). Because these approaches involve numerous uncertainties at regional scales, it is important to evaluate differences in amplitude and trends, as well as the variability of individual reconstructions, to describe the main sources of uncertainty, as well as to summarize the effects of the choice of proxy data and statistical calibration methods. This approach is particularly important for regional reconstructions if our aim is to address whether warming observed over the 20th century is exceptional given the context of the past. This is especially important in China——a country with various climatic zones——when we study the climate changes in China for the past 2000 years (hereafter abbreviated to "CCCP2k" for convenience) (Lü and Ding, 2012; Liao et al., 2016). As a result of studying CCCP2k, a large volume of high-resolution proxies, paleoclimatic reconstructions, and new results have been generated over the last five years. The key insights from this research are summarized in this paper.

2. New climate proxies and temperature reconstructions achieved from CCCP2k
  • More than 30 000 individual meteorological (e.g., phenological cold and warm events, snowfall days, plant phenodates, drought and flood events) and 7367 zoological records (e.g., locust plagues, large mammal range contractions) have been extracted from Chinese historical documents over the last five years. In addition, new samples from natural archives have been collected, comprising more than 1000 tree-ring cores from the Tibetan Plateau (TP) and Taiwan (Fig. 1); three ice cores of lengths 170 m, 189 m, and 110 m from the northern, central, and southern TP, respectively;six millennium-scale stalagmites from caves at Kesang (42°52'N, 81°45'E), Shihua (39°47'N, 115°56'E), Huangye (33°35'N, 105°7'E), Huanglong (32°43'N, 103°49'E), Heilong (31°36'N, 110°51'E), and Shennong (28°42'N, 117°15'E); 30 sediment cores from lakes Sihailongwan Maar [(42°17'N, 126°36'E), 791 m above sea level (ASL)], Kusai [(35°37'-35°50'N, 92°38'-93°15'E), 4475m ASL], Zigetang Co [(32°00'-32°09'N, 90°44'-90°58'E), 4560 m ASL], and Huguang Maar (21°9'N, 110°17'E); 500 m long coral cores from more than 300 massive Porites colonies; nine lagoonal sediment cores; and more than 20 Tridacna specimens from the South China Sea (Sun et al., 2013; Tao et al., 2016). Based on these proxies, 25 new paleoclimatic reconstructions have been generated, including seven well-dated δ18O series from stalagmites. Some of these reconstructions have already been published (Ge et al., 2016), while eight cover the last 2000 years, two cover the last 1500 years, nine cover the last 1000 years, and others encompass the last 500 years.

    Figure 1.  Locations for the main new proxy samples collected from natural archives and regional divisions (northeast, NE; central east, CE; South China, SC; northwest, NW) used for synthesized multi-proxy temperature reconstruction. The bold gray dashed lines show North China, the MLRYR and South China, respectively, used for temperature reconstructions from historical documents, while the gray area shows the region of the eastern TP that was used for tree-ring (TR) composite temperature reconstruction.

    Figure 2.  (a) A 2000-year temperature reconstruction for China synthesized from 28 proxies or individual reconstructions, along with the (b) Morlet wavelet spectrum. The dashed line indicates significant multidecadal to centennial cycles and the solid line indicates the cone of influence.

    Figure 3.  Ten new temperature reconstructions for sub-regions of China at decadal resolution, as well as individual sites at annual resolution, for the last 2000 years, with the mean value of 1851-1950 as the base period. Information on each series can be found in Table 1.

  • A new 2000-year multi-proxy synthesized reconstruction for temperature change across China at decadal resolution is shown in Fig. 2. This reconstruction was derived from sub-regional proxy temperature data (Ge et al., 2013a), encompassing 28 series for the whole country, most of which have a finer than 10-year temporal resolution. Compared with earlier synthesized temperature reconstructions for China (e.g., Yang, 2002; Wang et al., 2007), which employed temperature proxies from individual sites, the new reconstruction has wide spatial coverage because the proxies used come from numerous sites and are mostly novel. In addition, this reconstruction was generated using a new synthetic approach; in the first place, each sub-regional proxy temperature series was developed using an envelope assessment to capture regional signals with maximum confidence (Ge et al., 2010), employing a range of proxies (e.g., historical documents, tree rings, ice cores, lake sediments, and stalagmites) from individual sites or small regions. The observed national temperature series for the period between AD 1871 and AD 2000 (released by the China Meteorological Administration; Tang et al., 2010) was used for calibration, and two regression methods (principal component regression and partial least-squares regression incorporating "leave-one-out" cross-validation) were adopted to calibrate the sub-regional proxy and national temperature, respectively. Thus, the degree of confidence in the results is improved by cross-verification of two reconstructions.

    Ten new temperature reconstructions for sub-regions or individual sites generated during CCCP2k studies are shown in Fig. 3, while the metadata for these are listed in Table 1. For these 10 reconstructions, three sub-regional series (i.e., northeastern, central eastern China, and the TP), at decadal resolution, were synthesized from individual temperature reconstructions or proxies using an envelope assessment to capture the highest-confidence signals for calibration (Ge et al., 2013a). The other seven reconstructions, with annual resolution, were derived using historical documents and tree rings. Of these, four reconstructions derived from tree rings (Fig. 3; W1, W3-5) augment the sparse number of millennial-scale yearly temperature records for western China, and include the longest reconstruction for the Animaqin Mountains extending back to 261 BC. The reconstruction for the Qilian Mountains also provides a millennial-scale annual temperature record for northwestern China and provides a good spatial representation of temperature change for not just the TP, but across most of northwestern China. At the same time, three new temperature series——for northern China, the mid-lower reaches of the Yangtze River (MLRYR), and southern China (Fig. 3; E3-E5)——improve the available temporal resolution of documentary-based temperature reconstructions for eastern China over the past 500 years from decadal to annual. These series thus provide very important temperature data for further studying the long-term effects of extreme climate events (Zheng et al., 2014a; Qin et al., 2015; Ge et al., 2016), as well as the sensitivity of climate warming to changes in CO2 concentration (Liao et al., 2016). It is worth noting that, although most of the series in Table 1 show seasonal temperature changes rather than annual temperature, the annual temperature signal is also included and, in fact, even explains the variation to a greater extent. For example, for the correlation coefficients between seasonal and annual temperature corresponding to the observed data from 1951 to 2014, the minimum is 0.45 and the maximum is 0.94, all passing the 0.01 significance level, in which lower correlation is likely for the summer and higher correlation for winter.

    In addition, based on the thickness of the light layer identified in varved sediments from Lake Kusai, estimates for summer temperatures over the period 350-2010 on the northern TP have been generated (Liu et al., 2014). Based on long-chain alkenones extracted from these varved sediments, the variability in the surface temperature of Lake Sihailongwan Marr (northeastern China) for the growing season over the last 1600 years has also been estimated (Chu et al., 2011); while using the ratio of strontium to calcium derived from coral cores around the Xisha Islands in the South China Sea, the sea surface temperature (SST) for the period AD 1458 to AD 2015 has been reconstructed (Tao et al., 2016). Specifically, Tan (2014, 2016) analyzed variations in stalagmite δ18O across the monsoonal region of China to reconstruct the tropical Pacific SST gradient. As large-scale El Niño-Southern Oscillation (ENSO)-like states occurring over the last millennium have thus been reconstructed using oxygen isotope records from Chinese stalagmites (Tan, 2014, 2016), these studies provide important evidence enabling further investigation of the possible ways these conditions can control climate change in the monsoonal regions of China over interannual, centennial, and longer timescales.

3. Results and discussion
  • Results show that temperature change in China over the last 2000 years is characterized by four warm epochs and four cold periods on the centennial timescale (Fig. 2; the reference climatology is the mean value from 1851 to 1950). Data show that the warm epochs occurred during the periods AD 1 to AD 200, AD 550 to AD 760, AD 950 to AD 1300, and during the 20th century, while cold periods occurred between AD 210 and AD 350, AD 420 and AD 530, AD 780 and AD 940, and AD 1320 and AD 1900. Temperature amplitudes from the warmest and coldest decades and centuries over the last 2000 years are 1.3°C and 0.7°C, respectively. Meanwhile, comparison of warmth levels in the 20th century shows that temperatures in the warmest 100 years (the period between AD 31 and AD 130) and 30 years (the period between AD 91 and AD 120) over the period between AD 1 to AD 200 are a little lower, while temperatures in the warmest 100 years (the period between AD 661 and AD 760) and 30 years (the period between AD 691 and AD 720) between AD 550 and AD 760 are similar. In contrast, temperatures in the warmest 100 years (the period between AD 1191 and AD 1290) and 30 years (the period between AD 1231 and AD 1260) between AD 950 and AD 1300 are higher. Results also show that the extent of warming seen during the 20th century is not unprecedented over the last 2000 years; the warmth level of the period AD 1231 to AD 1260 during the MCA is comparable to the present day. Rates of temperature change on the centennial timescale suggest that rapid warming occurred between AD 1870 and AD 2000 [a rate of 0.56° 0.42°C (100 yr)-1 at the 95% confidence level] (Ge et al., 2013a). This rate of temperature change is not particularly unique, as similar periods characterized by rapid warming also occurred in the periods between AD 600 and AD 710 [0.51° 0.45°C (100 yr)-1], AD 880 and AD 990 [0.65° 0.43°C (100 yr)-1], and AD 1150 and AD 1250 [0.63° 0.42°C (100 yr)-1]. Results show that, over the last 2000 years, temperature change in China has cycles of 50 to 70 years, 100 to 120 years, and 200 to 250 years (Fig. 2b); and of these, the quasi-200-year cycle is in close agreement with solar activity, with the exception of the period between AD 950 and AD 1150 (Wang and Yang, 2014). Indeed, if we compare these data to the occurrence of sunspot minima over the last 2000 years (Muscheler et al., 2004; Steinhilber et al., 2009; Lean, 2010; Delaygue and Bard, 2011; Vieira et al., 2011; Clette et al., 2014), a clear relationship can be detected. When the Wolf (AD 1280 to AD 1350), Spörer (AD 1460 to AD 1550), Maunder (AD 1645 to AD 1715), and Dalton Minimum (AD 1795 to AD 1823) occurred, temperatures in China were lower than during other periods. It is also worth noting that switches in climate from warm to cold may also be linked with volcanic activity, as the number of large eruptions (Volcanic Explosivity Index ≥4) increased after the 14th century, while temperature from the MCA onwards entered a long-lasting cold period (Ge et al., 2015).

    However, in comparison with the warmth of the 20th century, the warmest intervals have varied among sub-regions of China over the last 2000 years. In northeastern China, the temperature of the warmest 100-year period (AD 441 to AD 540) was similar to the 20th century; while in central eastern China, present-day temperatures are lower than the period AD 1201 to AD 1300, when the warmest period in this region occurred (Ge et al., 2013a), and the amplitude on the centennial timescale reached 1.2°C. Over the TP and in northwestern China, 20th century temperatures have exceeded those of the warmest centuries in these regions (Shao, 2012; Wang and Yang, 2014; Zhang et al., 2014), while the periodicity analysis presented in Table 2 shows that most regional temperature reconstructions exhibit 20-30-year, 50-70-year, 100-120-year, and 200-250-year cycles. Additional cycles, including 12-year, 40-year, 500-year, 600-year, and 700-year cycles, can also be occasionally detected in some reconstructions. In addition, there are regional differences over China, and the regional temperature series are not in phase all the time during the last 2000 years. On the centennial time scale, the MCA first began in the TP region from the 850s, and then moved to the central eastern region from the 920s, and the northeastern region from the 970s. Even for the present warming period, this began in the TP and northwestern regions in the 1850s, followed later by the northeastern, southeastern and central eastern regions. It is worth noting that each reconstructed series is affected by calibration because of the limited length of the instrumental record.

    Although several of the regional temperature changes across China over the last 2000 years are unique, cold and warm epochs across the whole country are consistent with those seen over the NH when compared to the same reference of the 1851-1950 mean value. Results show that the climate was warm during the period AD 1 to AD 270, before entering a cold phase between AD 271 and AD 840 that was nevertheless characterized by temperature fluctuations, based on new NH reconstructions. Subsequently, China entered a warm phase between AD 841 and AD 1290, experienced another cold period between AD 1291 and AD 1910, and has been warm again since AD 1911. Indeed, these characteristics are consistent across the whole country, with the exception of the period AD 551 to AD 940. Between AD 950 and AD 1300, China experienced two successive warm temperature peaks: one around AD 1080 and one around AD 1250; whereas, just one warm peak around AD 1060 occurred across the NH. The majority of NH and Chinese temperature reconstructions suggest that the warmest 100- and 30-year periods during the MCA were the same, or higher, than those of the 20th century (Ge et al., 2015).

    The IPCC (IPCC, 2013) also reported that the period between AD 1982 and AD 2012 was very likely the warmest 30 years in the NH over the last 800 years (a result that has high statistical confidence), and probably for the last 1400 years (a result that has medium statistical confidence). However, viewed at the continental scale, several regions or areas during the MCA experienced similar warming over multi-decadal timescales to that which occurred in the middle to late part of the 20th century (a result that has high statistical confidence; IPCC, 2013). This suggests that, before the 20th century, regional differences in global warming were driven by natural climate forcing——perhaps because the MCA and other epochs with elevated temperatures were warmed by increased solar radiation and were dominated by the thermostat and associated stronger gradient patterns; whereas, global warming in the 20th century was driven by increased greenhouse gas volumes, leading to increased atmospheric stability, weaker zonal circulation, and an associated weaker SST gradient, which characterizes the greenhouse-gas mode. Thus, warming due to increased volumes of greenhouse gases generates a different climate signature from that caused by changes in solar radiation, as demonstrated by results based on an ECHO-G climate model simulation (Liu et al., 2013), and has led synchronized global warming throughout the 20th century, especially in the NH.

    In addition, results show that most extreme cold winter events occurred in cold stages; for example, during the low temperature troughs between AD 220 and AD 580 and between AD 1500 and AD 1900, more severe cold winter events occurred, at increased intensities, since AD 1950. Nevertheless, several extreme cold winter events have also been detected during warm climate stages, although the areas impacted were different to those in cold climate stages (Hao et al., 2011). For example, over the last 500 years, China has experienced four extreme snow events comparable in severity and spatial disaster distribution to the event in early 2008; namely, in AD 1578, AD 1620, AD 1796, and AD 1841. Interestingly, all these events correspond to transition points when the climate switched from warm into a multi-decadal cold interval. The NH is generally experiencing a 20-year continuous decrease in temperature, which corresponds to the extreme events of AD 1578, AD 1620, and AD 1796; while subsequently, climate entered a cold phase lasting 30 to 50 years. These results may suggest that extreme cold events, such as the 2008 storm, may provide a significant early warning signal for decadal-scale temperature transitions. Also, they may indicate that the current warming hiatus and frequency of extreme cold events are early climate signals for a switch from warm to multi-decadal cold conditions driven by natural variability (Ge et al., 2015).

  • Reconstructions show that the interactions between temperature variation and precipitation change may be complex and diverse, and that no fixed spatial pattern in anomalies of the latter during either cold or warm periods across eastern China can be detected over the last 2000 years (Hao et al., 2016). Nevertheless, it is possible to identify spatial patterns within five distinct cold intervals: AD 440 to AD 540, AD 780 to AD 920, AD 1390 to AD 1460, AD 1600 to AD 1700, and AD 1800 to AD 1900. Of these, between AD 440 and AD 540, when the upper and middle reaches of the Yellow River and the northern section of the southern Yangtze River were experiencing dry conditions, areas of the Yangtze-Huaihe River in northern China were characterized by wet conditions; whereas, between AD 780 and AD 920, precipitation followed a dry-wet-dry distribution from southeast to northwest, into the middle region of the northern Chinese plain and the middle reaches of the Yangtze River. Between AD 1390 and AD 1460, a spatial pattern of dry conditions in western China and wet conditions in eastern China, bounded by 115°E, is dominant; whereas, between AD 1600 and AD 1700, this spatial pattern in precipitation is reversed, characterized by dry conditions in the east, wet in the middle regions (bounded by 110°E), and dry conditions in the west, meridionally——although the area south of the Yangtze River remained wet. Finally, between AD 1800 and AD 1900, with the exception of Guizhou in the Hanshui valley, as well as scattered areas of northern China, the climate across the country remained dry (Hao et al., 2016).

    Figure 4.  Ensemble means of dry-wet index spatial patterns for the five cold epochs of AD 440 to AD 540, AD 780 to AD 920, AD 1390 to AD 1460, AD 1600 to AD 1700, and AD 1800 to AD 1900; as well as the four warm epochs of AD 650 to AD 750, AD 1000 to AD 1100, AD 1190 to AD 1290, and AD 1900 to AD 2000. Spatial pattern differences are shown when climate changes from cold to warm (Hao et al., 2016).

    Similarly, spatial patterns in wet and dry climate can also be identified for four distinct warm periods. Between AD 650 and AD 750, the eastern part of northwest China and the Yangtze-Huaihe River valley both experienced dry conditions, while the middle and lower reaches of the Yellow River and the area south of the Yangtze River both experienced wet conditions. Between AD 1000 and AD 1100, the spatial distribution was characterized by wet conditions to the south of the Yangtze River and in the eastern part of southwestern China, while dry areas occurred between 28°E and 37°E and wet regions encompassed Hebei Province and most of Shanxi Province, from south to north in the area east of 105°E, while dry conditions prevailed west of 105°E. In the period between AD 1190 and AD 1290, precipitation anomalies were characterized by dry conditions in northern China and wet conditions in the south, generally bounded by 30°N, while the western part of the southern Yangtze River experienced dry conditions and the Hanshui valley was wet. Finally, between AD 1900 and AD 2000, the spatial pattern of precipitation followed a zonal distribution from south to north, as southern China remained dry, south of the Yangtze River was wet, the Huaihe River valley and the North China Plain were both dry, and the eastern part of northwestern China was wet. Comparison of these four warm periods show that, although spatial patterns are different, the key characteristics of dry conditions to the north of the Yangtze River and wet conditions to the south can be seen (Hao et al., 2016). Indeed, the spatial patterns in precipitation anomalies for warm peaks on the decadal timescale, including AD 691 to AD 720, AD 1231 to AD 1260, AD 1741 to AD 1770, AD 1921 to AD 1950, and AD 1981 to AD 2000, indicate that northern China remained dry overall, while eastern China experienced wet conditions in the period between AD 1741 to AD 1770, during the LIA (Hao et al., 2012).

    To further understand the dominant spatial pattern in precipitation anomalies during warm and cold periods, we calculated ensemble means (Fig. 4). Results show that, in cold periods, this spatial pattern exhibits a meridional distribution bounded by 115°E: wet conditions in eastern China but alternating wet and dry conditions in the west. In contrast, during warm periods, this distribution exhibits a zonal distribution: dry conditions to the south of 25°N, wet conditions in the region between 25°N and 30°N, and dry conditions north of this boundary, with the exception of the Loess Plateau. It is worth noting that these characteristics are very similar to those seen during the 20 th century, while our data reveal (Fig. 4c) that the probability of dry conditions in northern China corresponding with wet conditions in the south in the Xiangjiang and Ganjing valleys, is likely to increase as the climate transitions from a cold to a warm regime (Zheng et al., 2014b).

    Reconstruction of the regional dry-wet index since AD 500 shows that the dominant cycles of decadal variation in summer precipitation are 22-24 yr and quasi-70 yr over the North China Plain; 32-36 yr, 44-48 yr, and quasi-70 yr over the Changjiang-Huaihe River valley; and 32-36 yr and 44-48 yr in the Jiang-Nan area (Zheng et al., 2017). Similar cycles were also detected in a May-September Beijing precipitation reconstruction (Lan et al., 2015) and in the Mei-yu series (Hao et al., 2015), derived from historical documents encompassing the last 300 years. Precipitation reconstruction based on varved lake sediments also highlights dominant cycles of 53-55 yr, 87-89 yr, and 105-110 yr, for northeastern China, over the last 1300 years (Chu et al., 2013).

    An important recent study on the NH summer monsoonal system was carried out by (Wang et al., 2013), who showed that this system is characterized by substantial intensification as well as Hadley and Walker circulations. Summer monsoonal precipitation in the NH has increased by 9.5% with each degree of global warming, an intensification that can primarily be attributed to mega-ENSO [like ENSO but with a larger spatial scale and interannual-interdecadal time scale, as defined by (Wang et al., 2013)] and the AMO.

  • The anomalous temperature and precipitation changes during the past 200 years have had great impacts on animal migration, insect outbreaks and infectious diseases after major natural disasters. Some research has suggested that the occurrence of locusts and other plagues can be closely associated with climate change, an important issue in global change research (IPCC, 2007; Tian et al., 2011). Thus, the frequency of occurrences of locust and human plagues and their association with climate change based on long-term data recorded in Chinese historical documents were investigated. The reconstruction of outbreaks of oriental migratory locusts (Locusta migratoria manilensis) in China over the last 1910 years shows that statistically significant correlations exist between reconstructed locust abundance and indexes of precipitation and temperature at both annual (between AD 1512 and AD 1911) and decadal (between AD 1000 and AD 1900) scales. Results also show that more locusts can be expected under dry and cold conditions and, in particular, a robust correlation between locust abundance and precipitation is significant at least as far back as AD 500. However, our locust-temperature correlation was weaker and less constant (i.e., it alternated between positive and negative correlations over long timescales), which may reflect the fact that temperature change impacts on outbreaks of oriental migratory locust are indirect and more easily moderated by other factors, such as cooling leading to a decrease in summer monsoonal rainfall via reduced moisture transport from surrounding oceans onto the Asian continent.

    Nevertheless, on the basis of spatial and temporal human plague records for China between AD 1850 and AD 1964, there is a significant association between human plague intensity (i.e., cases per year) and the dry-wet index (Xu et al., 2011). Results show, however, that responses to plague intensity under dry versus wet conditions were different in northern and southern China. In the former region, plague intensity generally increased in concert with wetness for both the current and previous year, with the exception of low recorded intensity during extremely wet conditions in the current year (i.e., a dome-shaped response to current year dry-wet index values). In contrast, in southern China, plague intensity generally decreased as wetness increased, with the exception of high intensities during extremely wet conditions in a current year. These opposite effects are likely to be related to differences in climate and rodent communities between these two regions of China; in the arid north, rodents would be expected to respond positively to enhanced precipitation, while in the humid south, high precipitation is likely to have a negative effect.

4. Conclusion
  • In this paper we report on a number of high-resolution proxies, paleoclimatic reconstructions, and new results through CCCP2k studies attained over the last five years. The following points can be concluded from this work:

    (1) Multi-proxy synthesized reconstructions for China show significant cycles in temperature variation over the last 2000 years, including 50-70-yr, 100-120-yr, and 200-250-yr cycles. At the same time, the amplitudes for decadal and centennial variation in temperature are 1.3°C and 0.7°C, respectively, and centennial variation is significantly correlated with long-term changes in solar radiation——especially cold periods, which correspond approximately to sunspot minima, as well as the frequency of large volcanic eruptions. Results further show that the linear warming trend across the whole of China was 0.56° 0.42°C (100 yr)-1 for the period between AD 1870 and AD 2000. This was very likely the most rapid in the last 2000 years, although a similar warming rate also occurred in intervals between cold and warm periods before the 20th century. The warmth of the 20 th century may not be unprecedented over the last 2000 years; the temperature of two peaks at AD 1080 and AD 1250 during the MCA are comparable.

    (2) Spatial patterns in the dry-wet index ensemble mean for eastern China (i.e., the mainland region approximately east of 105°E and south of 40°N) across all centennial warm periods correspond to a tripole pattern of dry conditions south of 25°N, wet conditions between 25°N and 30°N, and dry conditions north of 30°N. In contrast, ensemble mean spatial patterns exhibit an east-to-west distribution for centennial cold periods, with wet conditions dominant east of 115°E and dry conditions prevalent west of 115°E, albeit with a wetness exception around 110°E. An increase in precipitation in the monsoonal regions of China corresponding with 20th century warming can primarily be attributed to a mega-ENSO (one significant cause of interannual-to-interdecadal variations in global SST), as well as the AMO.

    (3) Results show a significant association between the occurrences of locusts, human plagues, and long-term climate variation in eastern China, with more locusts recorded in dry and cold conditions. However, plague intensity responses to changes in wet and dry conditions are different in northern and southern China; plague intensity has generally increased with wetness in northern China, while high precipitation has historically had a negative effect in the south.

    These findings reported in this paper may improve our understanding of whether or not the warming observed in the 20th century can be considered exceptional within the past regional context. We have also explored changes in spatial patterns of dryness and wetness, as well as the temporal and spatial occurrences of locusts and plagues in China in response to climate warming, and our results provide insights for successful adaptation in the future. The results presented here will also be useful for further studies regarding the sensitivity of regional climate warming to CO2 concentrations, as well as climate dynamics, at decadal to centennial scales.

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