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1.
利用地球系统模式(CESM)开展过去2000 年气候模拟试验,在利用观测资料、再分析资料对模拟资料进行检验的基础上,探讨百年时间尺度上亚澳夏季风降水的时、空变化特征及其成因,对于认识百年尺度气候变化规律、定量区分自然因子和人类活动对亚澳夏季风的影响具有重要意义。结果表明:过去2000 年亚澳夏季风降水和温度的波动较为一致,暖期降水多,冷期降水少。两者相关系数为0.83,达到99%置信度。此外,亚澳夏季风降水存在105、130、180 a的百年尺度周期。亚澳夏季风降水经验正交函数分解第一模态在印度洋北部呈南北反向的分布型态,在东亚地区呈负、正、负的分布型态;第二模态在印度洋北部呈正、负、正的分布型态,在东亚地区呈全区一致型的分布型态。经验正交函数分解第一特征向量和第二特征向量的正、负值中心大多出现在印度洋北部地区,南北呈不对称分布。亚澳夏季风降水的105 a周期主要受火山活动和土地利用/覆盖的影响,130 a周期主要受太阳辐射、气候系统内部变率的影响,180 a周期主要受火山活动的影响。从经验正交函数分解第一特征向量来看,整个亚澳夏季风降水主要受土地利用/覆盖、太阳辐射的影响;第二特征向量表明亚澳夏季风降水在百年际空间变化上主要受太阳辐射和气候系统内部变率的影响;第三特征向量表明亚澳夏季风降水在百年际空间变化上主要受气候系统内部变率和温室气体的影响。该研究对揭示百年际时间尺度气候变化特征、辨识影响气候变化的自然因素与人为因素、理解其影响气候的物理机制等具有重要意义,也为应对该区域气候变化提供了参考依据。   相似文献   
2.
Fang  Xiuqi  Zheng  Xue  Zhang  Xing 《地理学报(英文版)》2020,30(1):103-118
ENSO is an interannual mode which may be affected by external forcing, such as volcanic eruptions. Based on the reconstructed volcanic eruptions chronology and ENSO sequences, both 195 large volcanic eruptions(VEI≥4) and 398 ENSO(El Ni?o and La Ni?a) events were extracted from 1525 to 2000. An analysis of the correspondence between the large volcanic eruptions and ENSO events was performed by matching the large volcanic eruptions with the types and magnitudes of ENSO events present in the 0–2 years after the eruptions. The results show the following:(1) The percentages of ENSO events within the 3 years after the large eruptions had increased to 68.3% from 31.7% compared with those with no-eruptions in the previous 0–2 years. In addition, the ratio of El Ni?o to La Ni?a events turned from 2:3 to 1:1, and more El Ni?o events occurred in the 0 year after eruptions in the low-latitudes of the Northern Hemisphere and in the tropics but more La Ni?a events occurred in the 0 year after in the high-latitudes of the Northern Hemisphere and the Southern Hemisphere.(2) After the eruptions, the weak(W) El Ni?o events had increased by 8 percentage points and the very strong(VS) El Ni?o events had decreased by 10 percentage points; conversely, there was a decrease by 15 percentage points of the weak La Ni?a events and an increase by 11.4 percentage points of the very strong La Ni?a events. Specifically, the percentages of strong La Ni?a events increased to a peak at 1(+1) year after the eruptions.(3) The percentage of eruptions followed by single-year ENSO was the greatest. The percentage of ENSO events that occurred in the consecutive 2 years following an eruption was approximately equal to the percentage of events that occurred consecutively 3 years following an eruption, and both sets of ENSO magnitudes showed a decreasing trend.  相似文献   
3.
本研究利用1979—2012年欧洲中期天气预报中心(ECMWF)的ORAP5(Ocean Reanalysis Pilot 5)海洋/海冰再分析资料和ERA-Interim气象再分析资料,采用回归分析方法,分1979—1998年和1999—2012年两个时间段探讨了南半球热带外地区气候变化对两种不同形态ENSO的响应特征。结果表明,南半球热带外区域气候在1999年前后两个时段对ENSO的响应表现出了较大的年代际变化特征。1979—1998年南半球热带外气候变量对Nio3指数在时间上的相关性和空间上的响应强度都普遍大于Nio4指数,说明这一时段东部型ENSO对南半球热带外区域气候变化的影响要更强一些。在1999—2012年,不同形态ENSO与气候变量的相关性大小并无明显的规律,而且空间响应场的差异性并不大。海平面气压、风场和气温对ENSO变化的响应在南半球冬季表现最为强烈,在夏季最弱。三者在1999—2012年秋季对Nio3指数和Nio4指数的响应场中出现了纬向三波数结构。1999—2012年冬季,有异于海平面气压和风场,在罗斯海和阿蒙森海海域海表气温对Nio4变化的正响应明显强于对Nio3的响应,该特征在混合层温度中也有体现,表明海表气温随ENSO的变化受海洋特征变化影响较大。混合层深度和混合层温度的响应场之间存在很大的相关性,混合层温度响应在秋季表现最强,春季最弱,混合层深度响应与之相反。在1979—1998年,海冰密集度对不同Nio指数变化的响应差异主要出现在海冰结冰季节,而海冰厚度对不同Nio指数变化的响应差异在夏季表现较强。海冰密集度和厚度对Nio3变化响应的年代际差异在秋冬季节更加明显,对Nio4变化响应的年代际差异在秋、冬、春季都较明显。  相似文献   
4.
2015/2016年发生的极端El Ni?o事件,与1997/1998年El Ni?o事件具有可比拟的强度,但是2016年事件转变为弱La Ni?a,而1998年事件则为强La Ni?a。本文通过对比这两次极端El Ni?o事件,揭示其转变为不同强度La Ni?a事件的物理机制。混合层热收支分析的结果表明,在El Ni?o衰减年的4~11月,2016年平流反馈和温跃层反馈相对较弱,混合层温度衰减速率慢,其产生的主要原因是赤道中西太平洋的东风异常较弱。进一步分析表明,赤道中西太平洋的东风异常与副热带东北太平洋的海表温度异常(SSTA)有关,该地区的SST在1998年表现为冷异常,2016年为暖异常。副热带东北太平洋冷的SSTA有利于信风加强,从而加强中西太平洋的东风异常;而暖的SSTA使得赤道以北出现西南风异常,从而削弱中西太平洋的东风异常。此外,合成分析也表明,副热带东北太平洋SSTA与转变的La Ni?a的强度具有关联,El Ni?o转变为强La Ni?a的情况在位相转变期伴随着副热带北太平洋冷的SSTA,而El Ni?o转变为弱La Ni?a的情况没有明显的冷SSTA。  相似文献   
5.
This study explores the implications of shifting the narrative of climate policy evaluation from one of costs/benefits or economic growth to a message of improving social welfare. Focusing on the costs of mitigation and the associated impacts on gross domestic product (GDP) may translate into a widespread concern that a climate agreement will be very costly. This article considers the well-known Human Development Index (HDI) as an alternative criterion for judging the welfare effects of climate policy. We estimate what the maximum possible annual average increase in HDI welfare per tons of CO2 would be within the carbon budget associated with limiting warming to 2°C over the period 2015–2050. Emission pathways are determined by a policy that allows the HDI of poor countries and their emissions to increase under a business-as-usual development path, while countries with a high HDI value (>0.8) have to restrain their emissions to ensure that the global temperature rise does not exceed 2°C. For comparison, the well-known multi-regional RICE model is used to assess GDP growth under the same climate change policy goals.

Policy relevance

This is the first study that shifts the narrative of climate policy evaluation from one of GDP growth to a message of improving social welfare, as captured by the HDI. This could make it easier for political leaders and climate negotiators to publicly commit themselves to ambitious carbon emission reduction goals, such as limiting global warming to 2°C, as in the (non-binding) agreement made at COP 21 in Paris in 2015. We find that if impacts are framed in terms of growth in HDI per t CO2 emission per capita instead of in GDP, the HDI of poor countries and their emissions are allowed to increase under a business-as-usual development path, whereas countries with a high HDI (>0.8) must control emissions so that global temperature rise remains within 2°C. Importantly, a climate agreement is more attractive for rich countries under the HDI than the GDP frame. This is good news, as these countries have to make the major contribution to emissions reductions.  相似文献   

6.
In this relatively unprecedented study, the effects of thirty-four leading teleconnection Patterns (indices) of atmospheric circulation- on regional-scale for the Middle East- along with precipitation over Iran have been investigated. Different types of data including teleconnection Indices from NOAA (NCEP/NCAR, BOM) and monthly precipitation data from thirty-six synoptic stations of Iran were applied. The data have been investigated with various types of statistical and synoptical methods. The results indicate that El Niño–Southern Oscillation (ENSO) is the most effective factor and it could possibly influence the spatiotemporal variation of precipitation on all types of climate regimes in Iran. ENSO (nino3.4), The Atlantic Multidecadal Oscillation (AMO) and The Arctic oscillation (AO) are known as the first three important indices, determined by Principal component analysis (PCA) method. The research has clarified that a combination of warm phase of ENSO and a predominant Southeastern (SE) wind over the Indian Ocean can result in a significant moisture transport from the Indian Ocean to the Middle East and to Iran; a combination of cold phase of ENSO and a predominant Northwestern (NW) wind over the Indian Ocean can be followed by a widespread drought over the Middle East and Iran. The results also indicate that a combination of the first three important above-mentioned indices and the Indian Ocean Dipole (IOD) can provide a much better explanation for spatial and temporal variation of precipitation of Iran. Finally, the results of this study will enable us to present a new approach and new graphical-conceptual modeling, called "Teleconnection-Synoptic Method (TSM)"to clarify the underlying mechanism that can explain the spatial and temporal variations of global atmospheric circulation and precipitation of Iran. According to the correlation of different patterns with precipitation, the strongest relationships are related to the Scandinavia Index (SCN), Pressure Change in East Pacific (dPEPac) and Trade Wind Index at the 850 hPa (TrdWnd850), respectively.  相似文献   
7.
刘焕才  许芃  李曼 《地理科学》2021,41(3):544-552
基于1961—2018年降水观测资料,应用经验正交函数分解(EOF)、大气诊断等方法对山西夏季不同等级降水时空演变特征及其影响要素进行分析。结果表明:① 山西夏季降水量主要由大雨贡献(51.9%),但在降水频次上以小雨为主。山西大雨与小雨事件存在显著差异。小雨多年平均雨量由南至北递增,而大雨却由南至北递减。此外,EOF表明全区一致型均是不同等级降水中的主空间模态,但在小雨和大雨中高载荷区存在明显差异。② ENSO在影响山西降水特别是大雨中占据主导,而NAO在小雨中作用更为突出。对大气环流异常结构的诊断分析表明,冷(暖)ENSO位相时,源于热带西太平洋并经由南海北上的季风水汽输送增强(减弱),同时在ENSO和中高纬度大气活动联动调控下,在东亚地区建立的异常反气旋(气旋)可通过其西支南(北)风气流引导(抑制)季风水汽向山西进一步纵深推进,两者共同调配使得山西大雨事件增多(减少);NAO主要通过一条沿西欧?东欧?乌拉尔山?蒙古高原的高纬度路径对降水施加影响,NAO正(负)位相时,在蒙古高原甚至山西建立的深厚异常(反)气旋通过其南支西(东)风一方面阻挡低纬度季风水汽进入山西,另一方面增强(减弱)山西有限的内陆水汽供应,从而引起山西小雨事件的增多(减少)。  相似文献   
8.
根据青藏高原(简称高原)春季感热(Sensible Heat,SH)异常和ENSO不同位相,划分出12种类型,研究了高原春季(5月)SH异常和前冬ENSO对华南盛夏(7—8月)降水的影响及相对影响程度。结果表明:高原春季SH和前冬ENSO均对华南盛夏降水有较显著的影响,即当两者分别处于各自正(负)位相时,华南盛夏降水普遍偏少(多);通过对两者的单独作用和协同作用的分析表明,高原春季SH对华南盛夏降水贡献要更大。影响机制分析发现华南盛夏降水受西太平洋副热带高压(简称西太副高)和南亚高压共同影响,ENSO直接影响西太副高,而高原春季SH异常则对南亚高压作用显著,因此在两者共同影响下,两个高压的变化共同导致华南盛夏降水出现异常。   相似文献   
9.
利用日本气象厅提供的西北太平洋台风最佳路径观测资料,选取东海海区为研究范围,统计处理1951—2015年台风各要素资料,研究进入东海海区的台风频数、台风登陆点位置、台风频数及登陆点位置与太平洋年代际振荡(Pacific Decadal Oscillation,PDO)及ENSO的关系、影响台风生成和移动的因素等。结果表明:1)每年的7—9月为东海海区的台风高发季,其中8月最高,登陆台风也有相似趋势。2)进入东海海域的台风频数存在较明显的年际和年代际变化趋势。当PDO处于暖位相时,台风频数较小且有上升趋势,反之亦然。El Niño年进入东海海区的台风频数较常年减少,反之亦然。Niño3.4指数与台风频数整体上为负相关关系,相关系数为-0.32且通过90%置信度检验。3)进入东海海域的台风登陆点纬度变化较大,处于24~36°N之间,且有年代际变化特征。当PDO处于暖(冷)位相时,台风登陆点偏北(偏南)且有向北(南)移动的趋势。而登陆点纬度与ENSO的关系较为复杂。4)西北太平洋副热带高压的位置和强度是引起台风频数及登陆点位置变化的主要原因之一。当PDO处于冷位相时,西北太平洋副热带高压强度偏弱,且副高中心向东向北方向移动,导致进入东海的台风频数偏多,且台风登陆点偏北,反之亦然。  相似文献   
10.
Reducing Emissions from Deforestation and forest Degradation (REDD+) has emerged as a promising climate change mitigation mechanism in developing countries. In order to identify the enabling conditions for achieving progress in the implementation of an effective, efficient and equitable REDD+, this paper examines national policy settings in a comparative analysis across 13 countries with a focus on both institutional context and the actual setting of the policy arena. The evaluation of REDD+ revealed that countries across Africa, Asia and Latin America are showing some progress, but some face backlashes in realizing the necessary transformational change to tackle deforestation and forest degradation. A Qualitative Comparative Analysis (QCA) undertaken as part of the research project showed two enabling institutional configurations facilitating progress: (1) the presence of already initiated policy change; and (2) scarcity of forest resources combined with an absence of any effective forestry framework and policies. When these were analysed alongside policy arena conditions, the paper finds that the presence of powerful transformational coalitions combined with strong ownership and leadership, and performance-based funding, can both work as a strong incentive for achieving REDD+ goals.

Key policy insights

  • The positive push of already existing policy change, or the negative stress of resource scarcity together with lack of effective policies, represents institutional conditions that can support REDD+ progress.

  • Progress also requires the presence of powerful transformational coalitions and strong ownership and leadership. In the absence of these internal drivers, performance-based funding can work as a strong incentive.

  • When comparing three assessments (2012, 2014, 2016) of REDD+ enabling conditions, some progress in establishing processes of change can be observed over time; however, the overall fluctuation in progress of most countries reveals the difficulty in changing the deforestation trajectory away from business as usual.

  相似文献   
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