未来全球气候变暖情景下华东地区极端降水变化的数值模拟研究

将公用气候系统模式与区域气候模式单向嵌套(CCSM3-RegCM3),分别对1950—1999年和2000—2099年进行大气温室气体中等排放情景(A1B)下中国区域高分辨率连续数值模拟试验,以分析其对我国华东降水量时空变化的模拟能力,探讨未来华东地区极端降水的可能变化。与CRU、CMAP实际降水观测及NCEP再分析资料驱动的RegCM3模拟结果的对比显示,模式系统较好地重现了我国华东降水水平分布、日变化以及极端降水指数变化特征。在此基础上,分析了A1B情景下21世纪中期和后期降水以及东亚夏季风的可能变化。(1)未来中国长江中下游及其以北地区降水普遍增加,以南沿海地区降水相对变化不明显甚至减少,21世纪末期相对21世纪中期更为明显;(2)极端降水指数显示未来长江中下游及其以北地区极端降水增加10%～15%,干旱程度减弱,而南部沿海地区小范围极端降水减少,最大持续无雨期天数增加最大可达30%;(3)未来东亚夏季风偏强,尤其是西南气流加强,致使夏季风明显北推,这是导致长江中下游及其以北地区降水显著增加的主要原因。     

温室效应对我国东部地区气候影响的高分辨率数值试验

使用RegCM3区域气候模式,单向嵌套NASA/NCAR 的全球环流模式FvGCM的输出结果,对中国东部地区进行了在实际温室气体浓度下当代1961~1990年和在IPCC A2温室气体排放情景下21世纪末期2071~2100年各30年时间长度,水平分辨率为20 km的气候变化模拟试验。首先分析全球和区域模式对中国东部地区当代气候的模拟情况,结果表明全球模式对中国东部地区气温的总体分布型模拟较好,但存在冷偏差,区域模式在对这个冷偏差有所纠正的同时,提供了气温地理分布更详细的信息。全球模式模拟的年降水中心位于长江流域,与观测差别较大,区域模式对此同样也有改进,降水高值区主要位于区域南部,并表现出较强的地形强迫特征。区域模式的模拟结果还表明,至21世纪末期,在温室效应作用下,中国东部的气温将明显升高,年平均气温的升高值在2.7~4.0℃之间,其中北部升温大于南部,冬季升温大于夏季。冬季升温表现出明显的随纬度增加而增加的分布型。模拟区域内年平均降水将增加,增加值一般在10%以上,部分地区达到30%。降水增加在夏季较明显,区域内以普遍增加为主,冬季降水自山东半岛至湖南地区将减少,其他地区增加。此外,对夏季高温日数和冬季低温日数及年平均大雨日数的变化也进行了分析。     

Changes of Atmospheric Water Balance over China under the IPCC SRES A1B Scenario Based on RegCM3 Simulations

Simulations of the Regional Climate Model Version 3 (RegCM3) under the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) A1B scenario were employed to investigate possible decadal changes and long-term trends of annual mean atmospheric water balance components over China in the 21st century with reference to the period of 1981-2000. An evaluation showed that RegCM3 can reasonably reproduce annual evapotranspiration, precipitation, and water vapor transport over China, with a better performance for March-June. It was found that the water vapor exchange between the land surface and atmosphere would be significantly intensified in Northwest China by the mid-to late-21st century and that the region would possibly shift to a wetter or drought-mitigated state under global warming. Conversely, the water vapor exchange evidently weakened over the Tibetan Plateau and South-west China by the mid-to late-21st century. In addition, there appears to be a drier state for Northeast China and the middle and lower reaches of the Yangtze River valley by the mid-to late-21st century, with slight mitigation by the end compared with the mid-21st century. The westerly and southwesterly water vapor transport over China generally presents an increasing trend, with increasing diver-gence over the Tibetan Plateau and Northeast China, corresponding to a loss of atmospheric water vapor by water vapor transport.     

RegCM3对全球变暖背景下中国东部季风降水和雨型变化的模拟

The authors investigate possible changes of monsoon rainfall and associated seasonal (June-JulyAugust) anomaly patterns over eastern China in the late 21st century under the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emission Scenarios (SRES) A2 emission scenario as simulated by a high-resolution regional climate model (RegCM3) nested in a general circulation model (FvGCM/CCM3).Two sets of multi-decadal simulations are performed at 20-km grid spacing for present day and future climate conditions.Results show that the RegCM3 reproduces the mean rainfall distribution;however the evolution of the monsoon rain belt from South China to North China is not well simulated.Concerning the rain pattern classifications,RegCM3 overestimates the occurrence of Pattern 1 (excessive rainfall in northern China) and underestimates that of Pattern 2 (increased rainfall over the Huai River basin).Under future climate conditions,RegCM3 projects less occurrence of Pattern 1,more of Pattern 2,and little change of Pattern 3 (rainfall increase along the Yangtze River).These results indicate that there might be increased rainfall over the Huai-Yellow River area and reduced rainfall over North China in the future,while rainfall over the lower reaches of the Yangtze River basin is not modified significantly.Uncertainties exist in the present study are also discussed.     

南涝北旱的年代气候特点和形成条件

通过研究最近50年我国夏季降水分布的年代际及年际气候变化特征，以及对20世纪90年代至今夏季旱涝趋势的对比分析，讨论了夏季主要雨带位置南移的气候趋势，以及亚洲大陆高压、ENSO事件对夏季降水的影响关系。结果表明，20世纪90年代后期开始我国夏季旱涝分布气候态发生较大的变化，这可能预示夏季进入南涝北旱的年代气候时期。这些结果对于降水的年代气候预测和短期气候预测都具有重要意义。     

RegCM3引入气溶胶间接气候效应模拟效果对比

利用2006年区域气候模式RegCM3和Streets气溶胶排放源清单,在原模式中引入间接气候效应模块,改进云降水方案,对硫酸盐气溶胶的时空分布、辐射强迫效应进行了模拟研究。结果表明：硫酸盐气溶胶辐射强迫有明显季节变化;直接效应使地表温度降低,冬春季大值区出现在四川盆地,夏季大值区出现在华北平原。对降水的影响,主要表现在西南—东北水汽输送带上降水减少;其间接气候效应主要表现在使南方地区温度上升、北方地区温度下降;珠江流域和黄河流域降水减少,长江流域和东北地区降水增加。总的来说,直接效应大于间接效应。     

Near future (2016-40) summer precipitation changes over China as projected by a regional climate model (RCM) under the RCP8.5 emissions scenario: Comparison between RCM downscaling and the driving GCM

Multi-decadal high resolution simulations over the CORDEX East Asia domain were performed with the regional climate model RegCM3 nested within the Flexible Global Ocean-Atmosphere-Land System model, Grid-point Version 2 (FGOALS-g2). Two sets of simulations were conducted at the resolution of 50 km, one for present day (1980–2005) and another for near-future climate (2015–40) under the Representative Concentration Pathways 8.5 (RCP8.5) scenario. Results show that RegCM3 adds value with respect to FGOALS-g2 in simulating the spatial patterns of summer total and extreme precipitation over China for present day climate. The major deficiency is that RegCM3 underestimates both total and extreme precipitation over the Yangtze River valley. The potential changes in total and extreme precipitation over China in summer under the RCP8.5 scenario were analyzed. Both RegCM3 and FGOALS-g2 results show that total and extreme precipitation tend to increase over northeastern China and the Tibetan Plateau, but tend to decrease over southeastern China. In both RegCM3 and FGOALS-g2, the change in extreme precipitation is weaker than that for total precipitation. RegCM3 projects much stronger amplitude of total and extreme precipitation changes and provides more regional-scale features than FGOALS-g2. A large uncertainty is found over the Yangtze River valley, where RegCM3 and FGOALS-g2 project opposite signs in terms of precipitation changes. The projected change of vertically integrated water vapor flux convergence generally follows the changes in total and extreme precipitation in both RegCM3 and FGOALS-g2, while the amplitude of change is stronger in RegCM3. Results suggest that the spatial pattern of projected precipitation changes may be more affected by the changes in water vapor flux convergence, rather than moisture content itself.     

东亚夏季经向水汽输送的变异及其对极端降水的影响

东亚夏季降水的异常与水汽输送的变异密切相关。基于1958—2016年资料,研究了夏季东亚季风区经向水汽输送的主要变异特征及其对东亚夏季极端降水的影响。经向水汽输送的第一主变异模态表现出中国东部和西北太平洋上的水汽经向输送呈现反向异常,以年际变化为主。当中国东部向北输送的水汽增强(减弱)而西北太平洋向北输送减弱(增强),则中国东部大范围的极端降水量及频次增加(减少)。该模态与西太(西太平洋)副高西伸(东撤)有关,并主要受到热带中东印度洋海温的影响。第二变异模态以年代际变化为主兼有年际变化,表现在1980年后中国东部及邻近海域上空的经向水汽输送减弱,使得环渤海地区和华南沿海的极端降水量及频次减少而长江上、下游和贵州的极端降水量及频次增加。该模态与西太副高的减弱有关,并受到热带西太海温年代际增温的影响。第三变异模态以年际变化为主兼有年代际变化,反映中国长江以北地区和日本南部及附近区域的经向水汽输送的反相变化结构。长江以北水汽输送减弱(增强),可导致华北、东北的极端降水量及频次减少(增加)和长江下游及江南地区的极端降水量及频次的减少(增加)。该模态主要受欧亚大陆上空中高纬度纬向遥相关波列和热带印太（印度洋太平洋）海温异常的影响。      

中国东部降水的极端特性及其气候特征分析

基于1960—2017年观测数据分析了中国东部降水极端特性的地区差异、季节和气候学特征及变化格局,探讨了与全球变化和区域气候变率的关联性。结果表明,极端性降水的演化与降水均值或总量的气候型态、降水集中性和持续性密切关联,尤其雨带迁移和雨型演替是影响极端性降水地区差异与时空演变的根本因素。气候变化背景下,中国东部极端性降水强度和频次变化存在较好的协同一致性,近60年来在长江以南,强度加大的地区极端性降水亦趋于频发。同时,两者季节特征和地区差异明显。春季东北地区及华北北部极端性降水强度和频次均有明显增加。近60年来夏季极端性降水强度和频次的趋势变化在长江以南均以增加为主,以北以下降为主。秋季极端性降水强度和频次在华北地区亦呈增加趋势。冬季华南和江南地区极端性降水强度和频次趋势变化均以增加为主。华北地区及以北和内蒙古的西部冬季极端性降水强度增加显著,但频次变化不明显。而东北地区北部冬季极端性降水在强度减小的情形下,其频次仍趋显著增加。特别是中国降水主要集中在夏季,自1980年代以来中国东部夏季多雨带南移,雨型以北方型和中间型占优,转换为以长江型和华南型为主,多雨带的极端性降水群发性强,影响指数显著增加。此外,太平洋年代际振荡(PDO)暖位相及ENSO暖事件期间,长江以北夏季极端性降水的影响指数会显著降低。而东亚夏季风的减弱则有利于长江中下游等地区夏季极端性降水的频发和群发,极端性降水强度加大,其影响的危险性趋于增强。      

Drought over China in the 21st Century: Results of RegCM3

Based on 150-year simulations of a regional climate model, RegCM3, under the Special Report on Emissions Scenarios (SRES) A1B scenario, the effective drought index (EDI) is used to project the future drought change in China. During the baseline period 1986-2005, RegCM3 was found to reliably simulate the spatial pattern of drought over the country. Over the 21st century, the regionally averaged EDI should increase, corresponding to a decrease of drought, while the probability of extreme drought events should increase. Geographically, drought should clearly increase in Northeast China, the middle and lower reaches of the Yangtze River valley, Southwest China, and southern Tibet but decrease in most parts of the rest of the country.     

21世纪前期长江中下游流域极端降水预估及不确定性分析

在全球变暖背景下,极端降水的频率、强度以及持续时间均在显著增加,尤其是对于气候变化敏感的长江中下游流域。由于模式本身、温室气体排放情景以及自然变率存在较大的不确定性,因此未来预估变化的不确定性一直备受关注。为了能够得到对于未来极端降水更为准确的预估结果,使用NEX-GDDP（NASA Earth Exchange Global Daily Downscaled Projections）提供的19个CMIP5降尺度高分辨率数据（0.25°×0.25°）,给出21世纪前期（2016—2035年）长江中下游流域极端降水的可能变化。根据长江中下游流域178个气象站1981—2005年的逐日降水量数据,计算了能够代表极端降水不同特征的指数,在评估模拟能力的基础上给出了21世纪前期RCP4.5情景下极端降水的变化。结果表明,降尺度结果对长江中下游流域极端降水有很好的模拟能力,除R90N外,所有模式模拟其余指数的空间结构与观测的相关系数均超过了0.6。其中所有模式模拟PRCPTOT和R10的相关系数均超过0.95。21世纪前期,长江中下游地区降水趋于极端化,尤其是在流域的西部地区。极端降水日数的变化在减少,表明对于极端降水的贡献主要来自于极端降水日的较大日降水量,而非极端降水日数。未来预估不确定性的大值区主要位于流域的南部地区,流域的西部地区不确定性较低,西部地区极端降水的增加应该受到更多的重视。      

长江中下游夏季极端降水指数的变化特征

利用长江中下游地区66个气象站逐日降水资料,通过经验正交函数分解分析中雨以上日数极端降水指数及形成的原因。结果表明:长江中下游中雨以上日数主要表现为全区一致型、南北反向型,且两种分布形势均存在准2 a周期的年际变化和年代际变化;中雨以上日数在1990s开始显著增长,2000s以来,长江以北地区偏多,长江以南地区偏少;2000—2011年,我国东部经向上仍旧存在"反气旋—气旋"水汽输送异常,蒙古高原反气旋型水汽输送加强,引起雨带停滞在长江以北,造成长江以南地区中雨以上日数偏少。     

Assessing future climate changes and extreme indicators in east and south Asia using the RegCM4 regional climate model

This paper assesses future climate changes over East and South Asia using a regional climate model (RegCM4) with a 50?km spatial resolution. To evaluate the model performance, RegCM4 is driven with ??perfect boundary forcing?? from the reanalysis data during 1970?C1999 to simulate the present day climate. The model performs well in reproducing not only the mean climate and seasonality but also most of the chosen indicators of climate extremes. Future climate changes are evaluated based on two experiments driven with boundary forcing from the European-Hamburg general climate model (ECHAM5), one for the present (1970?C1999) and one for the SRES A1B future scenario (2070?C2099). The model predicts an annual temperature increase of about 3°?C5° (smaller over the ocean and larger over the land), and an increase of annual precipitation over most of China north of 30°N and a decrease or little change in the rest of China, India and Indochina. For temperature-related extreme indicators in the future, the model predicts a generally longer growing season, more hot days in summer, and less frost days in winter. For precipitation-related extremes, the number of days with more than 10?mm of rainfall is predicted to increase north of 30°N and decrease in the south, and the maximum five-day rainfall amount and daily intensity will increase across the whole model domain. In addition, the maximum number of consecutive dry days is predicted to increase over most of the model domain, south of 40°N. Most of the Yangtze River Basin in China stands out as ??hotspots?? of extreme precipitation changes, with the strongest increases of daily rain intensity, maximum five-day rain amount, and the number of consecutive dry days, suggesting increased risks of both floods and droughts.     

基于CMIP5模式的中国气候变化敏感性预估与分析

以CMIP5提供的26个全球气候系统模式的温度和降水数据为基础,采用区域气候变化指数(Regional Climate Change Index,RCCI)分析中国的不同区域对21世纪气候变化响应的敏感性。结果表明,三种排放情景(RCP 2.6、RCP 4.5、RCP 8.5)下,21世纪全期,气候变化最敏感的区域分布在西藏地区,其次为我国西北地区以及东北地区,气候变化敏感性最低的区域分布在我国内蒙古中东部、华北地区以及长江中下游一带,且高排放情景对应更高的气候变化敏感性。对RCCI指数贡献因子分析结果表明,对中国气候变化敏感性贡献的大小依次为Δσ_TΔσ_pΔRRWAF。冬夏两季温度变化的大值区与RCCI指数的大致区分布一致,RCCI大小的分布很大程度上由温度变化的敏感性决定。而夏季降水变化的大值区主要出现在西藏地区、华南地区和东北地区,冬季降水变化的大值区则主要出现在黄河以南长江以北的中原地区以及东北地区。     

极端降水事件变化的观测研究

回顾了气候变化背景下的极端降水事件变化观测研究的主要进展,结合全球变化的特点,重点讨论了中国极端降水事件的变化特征。指出：最近50多年,我国降水强度普遍趋于增加,降水日数除西北地区外其他大部分地区显著减少。极端降水与总降水量变化之间的关系很密切,西北西部、长江及长江以南地区极端强降水事件趋于频繁,华北地区虽然极端降水事件频数明显减少,但极端降水量占总降水量的比例仍有所增加。连阴雨产生的年降水量在华北、东北东部和西南东部地区明显减小,在青藏高原东部和一些东南沿海地区则增加。降水日数和微量降水日数减少是近年来我国干旱化趋势发展的一个重要特点。     

Temporal and spatial variability of dryness/wetness in China during the last 530 years

Summary The main characteristics of spatial and temporal variability of dryness and wetness during the last 530 years (1470–1999) are classified over five centuries. They have been investigated by using 100-site dryness/wetness index data that has recorded the historical weather conditions that affect agriculture and living conditions in eastern China. A set of principal modes of spatial variability and time coefficient series describing the dominant temporal variability are extracted by a diagnostic method, the rotated empirical orthogonal function (REOF) analysis. The long-term precipitation around Beijing, north China and the long-term runoffs in the middle Yangtze River are used to confirm the dry/wet variability in north China and the mid-low Yangtze River over the last two centuries.When considering the data from the last 530 years as a whole, the first two modes of dryness/wetness variability are found in the mid to low sections of two major valleys in eastern China, the Yellow and Yangtze River valleys. These valleys experienced the largest dryness/wetness variability in the history of eastern China. The third and fourth modes are located in northwest and northeast China. The fifth and sixth modes are situated in south and southwest China. However, over the last 500 years the strength and location of principal modes have experienced significant changes. During the 20th century, the first mode is found in the lower Yangtze River valley, the second mode in south China while the third mode is located in the mid-low Yellow River valley. During the 19^th century, the first three modes are situated in the mid-low Yellow River, the mid-low Yangtze River and south China, respectively. The first two modes in the 18^th century are located in the mid-low Yellow River and the mid-low Yangtze River valleys. The largest change of all modes occurred in the 17^th century with the first mode in northeast China, the second mode in northwest China, and the third mode in the mid-low Yangtze River valley. During the 16^th century, the first two modes are found in the mid-low Yangtze River and the mid-low Yellow River valleys.In each of the last five centuries, some special dryness/wetness processes are characterized in the mid-low Yangtze River and the mid-low Yellow River (north China). During the 20^th century, continuous and severe wetness is experienced in the mid-low Yangtze River in the last two decades. A two-decade wetness period in north China was followed by a severe dry period in the late 19^th century. Inter-annual variability, decade and two-decade oscillations of dryness/wetness are experienced in the series of different modes from one century to another. Dry/wet variations in north China and the middle Yangtze River are confirmed by series of data on local precipitation and runoff.     

CSIRO Mk3.6.0模式及其驱动下RegCM4.4模式对中国气候变化的预估

使用区域气候模式RegCM4.4,对全球模式CSIRO-Mk3.6.0在RCP4.5情景下的气候变化试验结果（1950-2100年）在东亚地区进行25 km动力降尺度试验,比较了CSIRO-Mk3.6.0和RegCM4.4预估中国地区的21世纪气候变化。结果表明,两个模式预估未来中国地区气温持续升高,升温幅度具有区域性特征,RegCM4.4预估区域平均升温幅度低于CSIRO-Mk3.6.0,但二者年际波动基本一致。两个模式预估未来降水在中国西部以持续增加为主,东部则表现出较大的不一致性,预估区域平均年降水量变化不大,呈现冬季明显增加,夏季微弱减少的特点。此外,为了解区域气候模式对中国降水预估的不确定性,对本研究和以往RegCM3使用相同分辨率模拟得到的未来降水预估进行了对比,两个区域模式预估中国西部大部分地区未来降水一致性增加,东部存在明显不一致（冬季中、高纬除外）。     

西北植被覆盖对我国区域气候变化影响的数值模拟

使用美国ＮＣＡＲ区域气候模式ＲｅｇＣＭ２研究了西北植被覆盖面积变化对我国区域气候变化的影响。共设计了三组试验,即西北植被面积扩大试验,控制试验和植被面积缩小试验。     

超强厄尔尼诺事件对中国东部春夏季极端降水频率的影响

利用中国国家气象信息中心提供的中国地面逐日降水0.5°×0.5°格点数据集,研究了超强厄尔尼诺事件衰减年春、夏季中国东部极端降水发生概率的变化,并通过诊断超强厄尔尼诺自身及其衍生模态各自的水汽输送和垂直运动特征,探讨了超强厄尔尼诺事件对中国东部极端降水的影响机制。结果表明,超强厄尔尼诺事件衰减年春季,整个中国东部尤其是江淮以北地区,极端降水事件发生概率显著增大。同年夏季,长江流域极端降水发生概率比常规年份高出近1倍,而在华南和华北地区则相对减小。诊断分析显示,春季超强厄尔尼诺自身及其与热带太平洋地区年循环相互作用衍生出的组合模态（C-mode）均对降水的环流背景影响显著,热带太平洋西北部低空存在强盛的反气旋性异常环流,导致大量水汽在中国东部汇聚并上升,有利于该地区极端降水事件的发生。夏季,厄尔尼诺事件已经消亡,但与C-mode影响相关联的西北太平洋异常反气旋环流仍然存在,长江流域维持极端降水事件发生的有利条件。此外,研究也显示,超强厄尔尼诺事件衰减年春、夏季中国东部对流层中上层持续有异常经向风活动,频繁的南北冷暖气流交汇可能导致强对流事件发生次数增多,这也为该区域极端降水的频发提供了支持。      

Simulation of China Summer Precipitation Using a Regional Air-Sea Coupled Model

A regional air-sea coupled model based on the regional climate model(RegCM3)and the regional oceanic model POM(Princeton Ocean Model)is developed and a series of experiments are performed to verify the ability of the coupled model in simulating the summer precipitation over China from 1963 to 2002.The results show that the space correlation coefficients between the GISST(Global Ice and Sea Surface Temperature)data and the simulated SST by RegCM3-POM exceed 0.9.Compared with the uncoupled experiments,the coupled model RegCM3-POM has a better performance in simulating the mean summer(June to August)precipitation over China,and the distribution of the rainband in the coupled model is more accurate.The improvement of the rainfall simulation is significant over the Yangtze River Valley and in South China.The rainbelt intraseasoaal evolution over eastern China in summer indicates that the simulation ability of RegCM3-POM is improved in comparison with the uncoupled model.The interannual summer rainfall variation over eastern China simulated by RegCM3-POM is in accordance with observation,while the spatial pattern of the interannual summer rainfall variation in the uncoupled model is inaccurate.The simulated correlation coefficient between the summer rainfall in the uncoupled model RegCM3 and observation is0.30 over the Yangtze River Valley and 0.29 in South China.The coefficient between the rainfall in the coupled RegCM3-POM and observation is 0.48 over the Yangtze River Valley and 0.61 in South China.The RegCM3-POM has successfully simulated the correlation coefficients between summer rainfall in the Yangtze River Valley and SST anomalies of the Bay of Bengal,South China Sea,and the Kuroshio area,whereas the uncoupled model RegCM3 fails to reproduce this relationship.The study further shows that the monsoon circulation and the path of the moisture transport flux simulated by RegCM3-POM are in good agreement with the NCEP/NCAR data.