青海省东部地区气候变化与ENSO事件关系

ENSO(厄尔尼诺-南方涛动)事件的发生会影响区域气候变化。通过对青海东部地区5个站点1959~2005年的降水、气温资料、干燥度和海表温度距平(SSTA)与南方涛动指数(SOI)的月序列进行相关性分析和周期性谱分析,探讨了区域气候变化与ENSO事件的关系。结果表明,1959~2005年青海省东部地区气候趋于暖干,并且冬春季变化趋势显著;暖事件的发生对该区域降水、气温及干燥度的变化影响较大,且气温对ENSO事件的响应要大于降水;ENSO事件对该区域的气候变化有两到三个月的影响期,EI Nino事件的发生对当月的影响较大,而La Nina事件的发生对该区域有两到三个月的持续影响期;降水距平及气温距平与ENSO事件存在短期相同的变化趋势,且该地区气候变化受南方涛动影响明显。     

Alternating Effects of Climate Drivers on Altamaha River Discharge to Coastal Georgia,USA

Freshwater delivery is an important factor determining estuarine character and health and may be influenced by large-scale climate oscillations. Variability in freshwater delivery (precipitation and discharge) to the Altamaha River estuary (GA, USA) was examined in relation to indices for several climate signals: the Bermuda High Index (BHI), the Southern Oscillation Index (SOI), the Improved El Niño Modoki Index (IEMI), the North Atlantic Oscillation (NAO), the Atlantic Multidecadal Oscillation (AMO), the Pacific Decadal Oscillation (PDO), and the Pacific/North American Pattern (PNA). Discharge to this estuary has been linked to key ecosystem properties (e.g., salinity regime, water residence time, nutrient inputs, and marsh processes), so understanding how climate patterns affect precipitation and river discharge will help elucidate how the estuarine ecosystem may respond to climate changes. Precipitation patterns in the Altamaha River watershed were described using empirical orthogonal functions (EOFs) of the combined multidecadal time series of precipitation at 14 stations. The first EOF (67 % of the variance) was spatially uniform, the second EOF (11 %) showed a spatial gradient along the long axis of the watershed (NW–SE), and the third EOF (6 %) showed a NE–SW pattern. We compared the principal components (PCs) associated with these EOFs, monthly standardized anomalies of Altamaha River discharge at the gauge closest to the estuary, and the climate indices. Complex, seasonally alternating patterns emerged. The BHI was correlated with June–January discharge and precipitation PC 1. The SOI was correlated with January–April discharge and precipitation PC 2, and also weakly correlated with PC 1 in November–December. The AMO was correlated with river discharge and precipitation PC 3 mainly in December–February and June. The correlation patterns of precipitation PCs with PDO and PNA were similar to those with SOI, but weaker. There were no consistent relationships with two NAO indices or IEMI. Connections between climate signals and estimates of nutrient loading were consistent with the connections to discharge. The occurrence of tropical storms in the region was strongly related to the BHI but not to the other climate indices, possibly representing the influence of storm tracking more than the rate of storm formation. Comparison with the literature suggests that the patterns found may be typical of southeastern USA estuaries but are likely to be different from those outside the region.     

Analysis of rainfall and temperature time series to detect long-term climatic trends and variability over semi-arid Botswana

Arid and semi-arid environments have been identified with locations prone to impacts of climate variability and change. Investigating long-term trends is one way of tracing climate change impacts. This study investigates variability through annual and seasonal meteorological time series. Possible inhomogeneities and years of intervention are analysed using four absolute homogeneity tests. Trends in the climatic variables were determined using Mann–Kendall and Sen’s Slope estimator statistics. Association of El Niño Southern Oscillation (ENSO) with local climate is also investigated through multivariate analysis. Results from the study show that rainfall time series are fully homogeneous with 78.6 and 50% of the stations for maximum and minimum temperature, respectively, showing homogeneity. Trends also indicate a general decrease of 5.8, 7.4 and 18.1% in annual, summer and winter rainfall, respectively. Warming trends are observed in annual and winter temperature at 0.3 and 1.5% for maximum temperature and 1.7 and 6.5% for minimum temperature, respectively. Rainfall reported a positive correlation with Southern Oscillation Index (SOI) and at the same time negative association with Sea Surface Temperatures (SSTs). Strong relationships between SSTs and maximum temperature are observed during the El Niño and La Niña years. These study findings could facilitate planning and management of agricultural and water resources in Botswana.     

青藏高原气候变化的若干事实及其年际振荡的成因探讨

利用1961-2012年青藏高原88个气象台站逐月气温、降水以及温室气体等气候系统监测资料和CMIP5输出的未来气候变化情景数据,分析了近52年来青藏高原气候变化暖湿化的若干事实,揭示了其年际振荡与温室气体、高原加热场、高原季风、AO等气候系统因子的关系,预测了未来20~40年青藏高原可能的气候变化趋势。研究表明：近52年来青藏高原在总体保持气候变暖的趋势下自2006年以来出现了某些增暖趋于缓和的迹象,较全球变化滞后了8年左右;降水量的增加在青藏高原具有明显的普遍性和显著性,气候变湿较变暖具有一定的滞后性,降水量变化的5年短周期日趋不显著,而12年、25年较长周期逐渐明显且仍呈增多趋势。由于温室气体、气溶胶持续增加、高原夏季风趋强、ENSO事件和太阳辐射减少,青藏高原气候持续增暖但有所缓和;春季高原加热场增强、高原夏季风爆发提前且保持强劲,使得高原春、夏季和年降水量增加,而秋、冬季AO相对稳定少动,东亚大槽强度无明显变化,高原冬季风变化不甚显著,导致了高原秋、冬季降水量无明显变化。未来20~40年青藏高原仍有可能继续保持气温升高、降水增加趋势。     

淮河上游干流径流量对不同气候要素变化的响应研究

基于淮河流域上游地区8个气象站点1959~2008年日降水量与温度数据,通过改变降水量和温度建立25种气候情景,利用SWIM水文模型,对不同情景下的径流量进行模拟,分析了淮河上游地区径流量对不同气候要素变化的敏感性,有利于该地区旱涝灾害的及时预警。结果表明,淮河流域上游地区,降水量的变化对径流量的影响较大,在仅考虑降水量和温度的情况下,径流量对降水量变化的敏感性系数处在1.7012~2.1358范围内,而对温度变化的敏感性较弱,三个站点径流量对温度变化的敏感性系数处在-0.0499~0.1547范围内;研究区在研究期内降水量变化对径流量的变化贡献较小,由大坡岭向下游依次为-0.0014,-0.0052,-0.0009,温度变化对径流量的贡献较大,由大坡岭向下游依次为0.0828,0.0152,0.0039,径流量对气候要素的响应不仅由其对气候要素变化的敏感性决定,也受到气候要素变化幅度的影响。     

Contribution of regional climate drivers to future winter sea-level changes in the Baltic Sea estimated by statistical methods and simulations of climate models

A statistical downscaling approach is applied to the output of five different global climate model simulations driven by twenty-first century future scenarios of greenhouse gas concentrations. The contribution of sea-level pressure (SLP) and precipitation changes to regional future winter sea-level changes is estimated for four Baltic sea-level stations by establishing statistical relationships between sea level as predictand and large-scale climate fields as predictors. Using SLP as predictor for the central and eastern Baltic Sea level stations, three climate models lead to statistically significant twenty-first century future trends in the range of the order of 1–2 mm/year. Using precipitation as predictor for the stations in the southern Baltic coast all five models lead to statistically significant trends with a range of the order of 0.4 mm/year. These numbers are smaller, but of the order of magnitude as the predicted global sea-level rise.     

Simulating climate change impact on soil carbon sequestration in agro-ecosystem of mid-Himalayan landscape using CENTURY model

Soils play significant roles in global carbon cycle. The increase in atmospheric CO₂ due to climate change may have a significant impact on both soil organic carbon storage and management practices to sequester organic carbon in agricultural areas. The aim of the study was to simulate climate change impact on soil carbon sequestration using CENTURY model. The statistical downscaling model (SDSM) was used to downscale the climate variables (temperature and rainfall) under two scenarios A2 and B2 for three periods: 2020 (2011–2040), 2050 (2041–2070) and 2080 (2071–2099). Downscaling was better in case of temperature than precipitation, which was evident from coefficient of correlation for temperature (r ² = 0.91–0.99) and precipitation (r ² = 0.71–0.80). Downscaling of climate data revealed that the temperature may increase for the years 2020, 2050 and 2080 periods, whereas precipitation may increase till 2020 and then it may reduce in 2050 and 2080 as compared to 2020 in the study area. For CENTURY model, the input parameters were obtained through soil sampling and interviewing the farmers as well, whereas the climatic variables (maximum temperature, minimum temperature and precipitation) were taken from the SDSM output. The historical data of soils were collected from the literature, and six agricultural sites were selected for estimating soil carbon sequestration. After soil sampling of the same sites, it was found that the organic carbon had increased two times than historical data might be due to the addition of high organic matter in the form of farm yard manure. Therefore, the model was calibrated, considering more organic carbon in the area, and was validated using random points in the study area. Determination coefficient (r ² = 0.95) and RMSE (538 g c/m²) were computed to assess the accuracy of the model. The organic carbon was predicted from 2011 to 2099 and was compared with the 2011 predicted data. The study revealed that the amount of soil organic carbon in Bhaitan, Kanatal, Kotdwar, Malas, Pata and Thangdhar sites may reduce by 11.6, 15.8, 17.19, 13.54, 19.2 and 12.7%, respectively, for A2 scenario and by 9.62, 15.6, 15.72, 11.45, 16.96 and 13.36% for B2 scenario up to 2099. The study provides comprehensive possible future scenarios of soil carbon sequestration in the mid-Himalaya for scientists and policy makers.     

iGCM模拟全球典型站点降水中δ18O的效果评价以及香港站δ18O年际震荡的原因探讨

为了评价不同的稳定同位素大气环流模式（iGCM）在不同气候区的适用性,利用8个水稳定同位素大气环流模式（CAM2、ECHAM4、GISSE-F、HADAM3、ISOGSM、LMDZ4、GISSE-N和MUGCM）的数据和全球降水同位素监测网（GNIP）的实测数据,分析了全球13个气候大区（高山高原、热带季风、热带雨林、热带海洋、热带草原、地中海、亚热带湿润、亚热带季风、温带海洋、温带大陆性干旱、温带大陆性、亚寒带针叶林和寒带冰原气候）的典型站点降水中δ¹⁸O的季节变化,评价了模式的月数据相对于GNIP实测数据的模拟效果。结果表明,LMDZ4、GISSE-N和ECHAM3这3个模式的整体模拟效果较好,且不同站点降水中δ¹⁸O的季节变化原因可以从不同季节水汽来源的差异和水汽在输送过程中降水量的季节差异来分析。为了深入分析单站降水中δ¹⁸O的年际变化,利用香港站的长时间序列数据分析了降水中δ¹⁸O的年际变化与大气环流异常的关系,并对实测和模拟结果进行了分析。结果表明,ECHAM4和LMDZ4这两个模式能够模拟出香港站降水中δ¹⁸O与南方涛动指数（SOI）的负相关关系。通过分析1998年和1999年大气环流异常对香港站降水中δ¹⁸O的影响,得出水汽来源的年际变化以及水汽输送带上游地区降水的多寡可能是造成香港地区降水中δ¹⁸O年际变化的主要原因。

     

西北干旱半干旱区春小麦生长对气候变暖响应的区域差异

对分别位于西北特干旱、干旱、半干旱3种主要气候类型区的敦煌、武威（1981—2005年）、定西3个农业气象观测站(1986—2005）年的气候变化对春小麦各个物候期及其产量的影响进行分析，结果显示：不同台站的气候变化模式在时间和空间上都不同，武威和定西的气温增加而降水量减少，气候均呈现暖干化趋势，但前者的变化量大于后者。所不同的是敦煌站的气温和降水量都呈增加趋势。相关分析结果，一方面显示了在不同的气候类型区，影响春小麦生长的主导因子不同，影响敦煌、武威、定西3站春小麦生长期天数和产量的主导气象因子分别为≥0℃积温、日均温、降水量。另一方面也显示了同一气象因子对不同地区作物的影响程度、强度和方向都不同，日均温的增加对不同地区春小麦生长期的负效应表现为武威＞敦煌＞定西；≥0℃积温对春小麦生长期和产量的正效应表现为敦煌＞定西，对武威春小麦的生长期有正影响，而对产量有负影响；降水量对半干旱雨养农业区定西春小麦生长期和产量的正影响最大且极为显著（P＜0.01）；日照时数对不同地区春小麦整个生长期和产量的正影响敦煌＞定西＞武威。气候变化最终导致敦煌站春小麦的产量以8.8 g/（m2·a）的速率显著增加，武威、定西受气候暖干化的影响，春小麦产量分别下降0.3 g/（m2·a）、5.5 g/（m2·a）。造成这些差异的主要原因可能是各地的气候条件不同，其次是各地的栽培条件、田间管理（如灌溉、施肥、病虫害防治）等非气象因子的不同所致，各地作物的生长及产量形成都是气象因子和非气象因子共同作用的结果。 [HT5H]关〓键〓词：[HT5K]区域差异；响应；气候变暖；春小麦  [HT5H]中图分类号：P463.2;S162.5〓〓〓文献标识码：A[HT5SS][HK]     

A new methodology for building local climate change scenarios: A case study of monthly temperature projections for Mexico City

This paper proposes a new methodology for generating climate change scenarios at the local scale based on multivariate time series models and restricted forecasting techniques. This methodology offers considerable advantages over the current statistical downscaling techniques such as: (i) it provides a better representation of climate at the local scale; (ii) it avoids the occurrence of spurious relationships between the large and local scale variables; (iii) it offers a more appropriate representation of variability in the downscaled scenarios; and (iv) it allows for compatibility assessment and combination of the information contained in both observed and simulated climate variables. Furthermore, this methodology is useful for integrating scenarios of local scale factors that affect local climate. As such, the convenience of different public policies regarding, for example, land use change or atmospheric pollution control can be evaluated in terms of their effects for amplifying or reducing climate change impacts.     

1470年以来中国东部季风区降水变化规律及趋势预估

超长系列的降水资料是分析气候变化和预估未来区域水安全形势的重要支撑,但目前观测资料只有几十年时间尺度,利用相关历史文献资料进行系列重建是延长现有观测资料的主要手段。基于《中国近五百年旱涝分布图集》和1959年以来实测降水资料,重建1470—2019年中国东部季风区的长序列降水数据,分析近550 a以来区域降水变化规律,剖析气候自然变异规律和人为气候变化对历史降水的影响,并通过CMIP6中等分辨率气候系统模式下的4种情景降水数据预估未来降水变化趋势。研究表明：(1)东部季风区降水年际分布不均,有明显的丰枯变化,1470—1691年整体处于枯水期,1692—1924年处于丰水期,1925年至今处于枯水期,存在准181 a周期;(2) 1991年后人为气候变化的影响已经显现,海河、黄河下游和长江流域部分降水倾向率发生显著变化,东部季风区总体降水增加趋势加快;(3)在未来气候变化情景下多年平均降水量较基准期(1961—1990年)显著增加,季节性变化加大,区域旱涝风险加剧。由于未来气候情景的不确定性,未来降水趋势预测的可信度尚未可知,需要进一步增强风险分析。     

未来不同排放情景下气候变化预估研究进展

概述未来不同排放情景下气候变化预估研究的主要进展。首先,对用于开展气候变化预估研究的不同复杂程度的气候系统及地球系统模式及其模拟能力进行了简要的介绍,指出虽然目前气候系统模式在很多方面存在着较大的不确定性,但大体说来可提供当前气候状况的可信模拟结果;进而介绍了IPCC不同的排放情景,以及不同排放情景下全球与东亚区域气候变化预估的主要结果。研究表明,尽管不同模式对不同情景下未来气候变化预估的结果存有差异,但对未来50～100年全球气候变化的模拟大体一致,即全球将持续增温、降水出现区域性增加。在此基础上,概述了全球气候模式模拟结果的区域化技术,并重点介绍了降尺度方法的分类与应用。同时对气候变化预估的不确定性进行了讨论。最后,对气候变化预估的研究前景进行了展望,并讨论了未来我国气候变化预估研究的重点发展方向。     

气候变化情景下渭河流域潜在蒸散量时空变化特征

根据渭河流域20个气象站1959～ 2008年逐日气象资料,以FAO Penman-Monteith法计算的各站逐日潜在蒸散量作为标准值,对基于气温的Hargreaves法进行参数校正以使其适用于渭河流域.应用统计降尺度模型SDSM将HadCM3输出数据降尺度到各站点,生成A2,B2两种情景下各站未来日最高、最低气温数...     

气候变化下中国主要流域气象水文干旱潜在风险传播

全球气候变化影响了气象水文要素的时空分布特性,气象水文干旱事件的转化关系及风险传播特征亟待研究。基于站点、栅格观测资料和CMIP5（Coupled Model Inter-comparison Project Phase5）的19个气候模式输出数据,采用新安江等4个水文模型模拟了中国135个流域历史（1961—2005年）和未来时期（2011—2055年,2056—2100年）的水文过程,计算了SPI（Standard Precipitation Index）和SRI（Standard Runoff Index）干旱指标,通过游程理论识别了气象干旱与水文干旱事件,利用Copula函数与最大可能权函数度量二维干旱风险特征,定量评估了气象干旱至水文干旱的潜在风险传播特性。结果表明:①气象-水文干旱对气候变化响应强烈,华北和东北地区的干旱联合重现期增大,干旱潜在风险减小,华中和华南地区的干旱联合重现期减少60%~80%,干旱潜在风险增加;②气象干旱与水文干旱风险在历史和未来时段均存在显著的正相关关系,相关系数超过0.99;③各流域水文干旱风险变化对气象干旱风险变化的敏感程度不会随气候变暖发生较大变化,但未来北方地区水文干旱同气象干旱同时发生的概率将会小幅度增加。     

The influence of model structure on groundwater recharge rates in climate-change impact studies

Numerous modeling approaches are available to provide insight into the relationship between climate change and groundwater recharge. However, several aspects of how hydrological model choice and structure affect recharge predictions have not been fully explored, unlike the well-established variability of climate model chains—combination of global climate models (GCM) and regional climate models (RCM). Furthermore, the influence on predictions related to subsoil parameterization and the variability of observation data employed during calibration remain unclear. This paper compares and quantifies these different sources of uncertainty in a systematic way. The described numerical experiment is based on a heterogeneous two-dimensional reference model. Four simpler models were calibrated against the output of the reference model, and recharge predictions of both reference and simpler models were compared to evaluate the effect of model structure on climate-change impact studies. The results highlight that model simplification leads to different recharge rates under climate change, especially under extreme conditions, although the different models performed similarly under historical climate conditions. Extreme weather conditions lead to model bias in the predictions and therefore must be considered. Consequently, the chosen calibration strategy is important and, if possible, the calibration data set should include climatic extremes in order to minimise model bias introduced by the calibration. The results strongly suggest that ensembles of climate projections should be coupled with ensembles of hydrogeological models to produce credible predictions of future recharge and with the associated uncertainties.     

基于SDSM的珠江中上游气候模拟及未来情景预估

预估喀斯特生态脆弱区的未来气候变化对于区域资源的合理开发利用及生态环境保护具有重要参考价值,而目前应用降尺度方法模拟喀斯特地区的未来气候情景仍存在较大的探讨空间。本文依据珠江流域红柳江区13个气象站1961-2001年的实测日气温、日降水量资料和全球大气NCEP再分析资料,采用SDSM模型预测流域在HadCM3模式SRES A2和B2两种排放情景下未来年份气温和降水的变化趋势。结果表明:（1）SDSM模型可以较为准确地模拟研究区的气温和降水变化,确定性系数分别可达99%和65%左右;（2）A2、B2两种情景下,21世纪气温和降水均表现出明显的上升趋势,且随时间推移增幅逐渐增大。截至21世纪末,A2、B2两种情景下的年平均气温变化分别为+3.39 ℃和+2.49 ℃,日均降水将分别增加117.30 %和80.90 %;（3）未来的气温上升以秋季和春季变化最为明显,降水则表现为夏季降水增幅最大。分析成果可为喀斯特区的气候变化影响评价与应对决策提供数据基础和理论依据。      

Timing and distribution of alluvial fan sedimentation in response to strengthening of late Holocene ENSO variability in the Sonoran Desert,southwestern Arizona,USA

The integration of geomorphic mapping, soil stratigraphy, and radiocarbon dating of alluvial deposits offers insight to the timing, magnitude, and paleoclimatic context of Holocene fan sedimentation near Yuma, Arizona. Mapping of 3400 km² indicates about 10% of the area aggraded in the late Holocene and formed regionally extensive alluvial fan and alluvial plain cut-and-fill terraces. Fan deposits have weakly developed gravelly soils and yielded a date of 3200–2950 cal yr BP from carbonized wood. Alluvial plain deposits have weakly developed buried sandy soils and provided a date of 2460–2300 cal yr BP from a terrestrial snail shell. Precipitation records were analyzed to form historical analogues to the late Holocene aggradation and to consider the role of climatic variability and extreme hydrologic events as drivers of the sedimentation. The historical precipitation record indicates numerous above-average events correlated to the Southern Oscillation Index (SOI) in the region, but lacks any significant reactivation of alluvial fan surfaces. The timing of aggradation from 3200 to 2300 cal yr BP correlates well with other paleoclimatic proxy records in the southwestern U.S. and eastern Pacific region, which indicate an intensification of the El Niño-Southern Oscillation (ENSO) climatic pattern and rapid climate change during this period.     

南水北调对北方干旱化趋势可能影响的初步分析

使用地表土壤水量平衡模式和大气能量平衡模式，对南水北调中线工程对华北地区的可能局地气候效应进行了虚拟模拟试验，得出了在不同调水方案和气候情景假定下华北地区可能出现的局地土壤水分、蒸发、温度和降水的变化。结果表明，不同调水量在不同时间、不同气候条件下的气候效应是有差别的，并与降水的季节变化有关。总体而言，在给定气候背景下调入水可以改变土壤水含量和径流，并使局地夏半年温度降低、冬半年温度有所升高；夏半年局地降水量和蒸发量有所增加，而冬半年变化不大。因此，在目前情况下南水北调中线工程的实施不仅可以减缓华北地区水资源紧缺的矛盾，而且有可能在一定程度上改善当地的局地干旱气候环境，进而有利于生态环境的良性循环和有序人类活动的可持续发展。     

古里雅冰芯气候记录对ENSO事件的响应

ENSO现象是一个产生于大尺度海-气相互作用的全球事件, 它是影响全球中低纬度大部分地区气候年际变化的一个重要的因子. 通过高通滤波法、累积异常法以及非参数检验等方法, 对古里雅冰芯中所记录的气候信息与ENSO事件进行相关分析表明, 在厄尔尼诺年, 古里雅冰芯中记录的降水量显著减少, 但对于δ¹⁸O而言, 虽然也在厄尔尼诺年偏低, 但未达到显著性水平.     

Regional climate change and its effects on the runoff of Manas River,Xinjiang, China

The effects of climate change on annual runoff were analyzed on the basis of hydrologic and meteorological data for the past 50 years recorded by six meteorological stations and the Kenswatt Hydrological Station in the headstream of the Manas River watershed. The long-term trends of climate change and hydrological variations were determined in a nonparametric test, and the periodicities were determined employing the extrapolation method of periodic variance analysis. Subsequently, a periodicity-trend superposition model was used to predict future change. The results show that both the climate factors (temperature and precipitation) and runoff have increased considerably and have significant relations; the relation between temperature and runoff is the more significant. There is periodicity of 18 years in the change in annual runoff, and the primary periodicity of changes in temperature and precipitation is, respectively, 3 and 15 years. The runoff variations are affected by climate change in the headstream, but do not shift simultaneously with abrupt changes in temperature and precipitation in the headstream. There is a significant positive relationship in winter between the North Atlantic Oscillation (NAO) and runoff, while there are negative correlations annually and in summer for the runoff lagging the NAO by 1 year. The NAO has certain effects on climate change that are mainly due to atmospheric circulation in the Manas River Basin, and thus, the NAO affects the runoff.