卫星气候数据集的应用研究与发展分析

卫星气候数据集是卫星气候研究的基础。在规范卫星气候数据集基本概念的基础上,针对现有基本气候数据集（FCDR）和专题气候数据集（TCDR）的分类方式,无法反映卫星气候数据特点的问题,认为应将专题气候数据集进一步划分为单一遥感仪器专题气候数据集、多种遥感仪器融合专题气候数据集及卫星与多源资料融合专题气候数据集等几类。这种分类方法便于用户更好地了解和使用卫星气候数据。然后,重点围绕基本气候变量和基本卫星气候变量含义、卫星气候数据集生产规范、国内外主要卫星气候数据生产计划等方面,综述了卫星气候数据集建设及规范化生产已取得的最新研究进展。在此基础上,分析了卫星气候数据集建设和应用中存在的主要问题,展望了卫星气候数据集发展,同时对我国卫星气候数据集建设提出具体建议。     

Environmental water quantity projections under market-driven and sustainability-driven future scenarios in the Narew basin,Poland

Abstract

The aim of this article is to assess the impact of four scenarios combining possible changes in climate, atmospheric carbon dioxide, land use and water use by 2050, on the specific set of ecologically relevant flow regime indicators that define environmental flow requirements in a semi-natural river basin in Poland. This aim is presented through a modelling case study using the Soil and Water Assessment Tool (SWAT). Indicators show both positive and negative responses to future changes. Warm projections from the IPSL-CM4 global climate model combined with sustainable land- and water-use projections (SuE) produce the most negative changes, while warm and wet projections from the MIROC3.2 model combined with market-driven projections (EcF) gave the most positive changes. Climate change overshadows land- and water-use change in terms of the magnitude of projected flow alterations. The future of environmental water quantity is brighter under the market-driven rather than the sustainability-driven scenario, which shows that sustainability for terrestrial ecosystems (e.g. more forests and grasslands) can be at variance with sustainability for riverine and riparian ecosystems (requiring sufficient amount and proper timing of river flows).

Editor D. Koutsoyiannis

Citation Piniewski, M., Okruszko, T., and Acreman, M.C., 2014. Environmental water quantity projections under market-driven and sustainability-driven future scenarios in the Narew basin, Poland. Hydrological Sciences Journal, 59 (3–4), 916–934.     

Evaluating the sensitivity of wetlands to climate change with remote sensing techniques

Wetlands are valuable ecosystems that provide many valuable services, yet many of these important ecosystems are at risk because of current trends in climate change. The Prairie Pothole Region (PPR) in the upper‐midwest of the United States and south‐central Canada, characterized by glacially sculpted landscapes and abundant wetlands, is one such vulnerable region. According to regional/global climate model predictions, drought occurrence will increase in the PPR region through the 21st century and thus will probably cause the amount of water in wetlands to decline. Water surface area (WSA) of Kidder County, ND, from 1984–2011 was measured by classifying TM/ETM+(Landsat Thematic Mapper / Enhanced Thematic Mapper Plus) images through the modified normalized difference water index. We then developed a linear model based on the WSA of these wetlands and historical climate data and used this to determine the wetland sensitivity to climate change and predict future wetlands WSA in the PPR. Our model based on Palmer drought severity index (PDSI) of the current year (PDSI_{t ? 0}) and of the previous two years (PDSI_{t ? 2}) can explain 79% of the annual wetland WSA variance, suggesting a high sensitivity of wetlands to drought/climate change. We also predicted the PPR wetlands WSA in the 21st century under A1B scenario (a mid‐carbon emission scenario) using simulated PDSI based on Intergovernmental Panel on Climate Change AR4 22‐model ensemble climate. According to our prediction, the WSA of the PPR wetlands will decrease to less than half of the baseline WSA (defined as the mean wetlands WSA of the 2000s) by the mid of the 21st century, and to less than one‐third by the 2080s, and will then slightly increase in the 2090s. This considerable future wetland loss caused only by climate change provides important implication to future wetland management and climate adaptation policy. Copyright © 2012 John Wiley & Sons, Ltd.     

气候变暖背景下青藏高原山地灾害及其风险分析

基于青藏高原1930-2010年山地灾害实例,分析了气候变暖对青藏高原山地灾害的影响。结果表明：在气候变暖背景下,冰湖溃决灾害增多,冰川泥石流趋于活跃,特大灾害出现频繁,灾害链生特征明显,表现出时间和空间上的延拓性,巨灾发生概率增大;在藏东南地区表现出雨热同期的气候特征,构成了利于冰川类泥石流形成的条件;波密县城位于两条泥石流危险区的建筑物占地面积由1988年0.014 km²扩展到2012年1.004 km²,人口与经济密集区与灾害高风险区重叠,加之气候变化导致的灾害危险性增加,青藏高原灾害风险显著增大。上述结果提供了气候变化对青藏高原山地灾害影响的证据,初步阐述了其影响特征,有助于山地减灾和进一步认识气候变化对山地灾害的影响机理。     

气候变化影响和适应认知的演进及对气候政策的影响

通过分析IPCC第二工作组的5次评估报告对气候变化影响、适应的主要结论和方法的演进、原因以及对国际适应谈判和国家适应政策的影响,指出由于文献的迅速增加,影响评估方法和适应技术手段的不断成熟,以及思维的转变和意识的逐渐增强,IPCC进一步确认了气候变化已经并将继续对自然生态系统和人类社会产生广泛而深刻的影响;未来社会经济发展路径、适应和减缓行动以及风险治理将影响气候变化带来的风险。IPCC报告极大地推动了国际和各国适应气候变化科学研究和政策实践的进程。尽管中国各级各部门已逐渐将适应融入到相关政策中,但仍然存在认识、能力、体制机制等问题,需要进一步推进国家和各地的适应工作。     

Yearly tropical cyclone potential impact index in China

A new composite index called the yearly tropical cyclone potential impact(YTCPI)is introduced.The relationship between YTCPI and activities of tropical cyclones(TCs)in China,disaster loss,and main ambient fields are investigated to show the potential of YTCPI as a new tool for short-term climate prediction of TCs.YTCPI can indicate TC activity and potential disaster loss.As correlation coefficients between YTCPI and frequency of landfalling TCs,the frequency of TCs traversing or forming inside a 24 h warning line in China from 1971 to 2010 are 0.58 and 0.56,respectively(both are at a statistically significant level,aboveα=0.001).Furthermore,three simple indexes are used to compare with YTCPI.They all have very close relationships with it,with correlation coefficients 0.75,0.82 and 0.78.For economic loss and YTCPI,the correlation coefficient is 0.57 for 1994–2009.Information on principal ambient fields(sea surface temperature,850 and 500 hPa geopotential heights)during the previous winter is reflected in the relationship with YTCPI.Spatial and temporal variabilities of ambient fields are extracted through empirical orthogonal function(EOF)analysis.Spatial distributions of correlation coefficient between YTCPI and ambient fields match the EOF main mode.Correlation coefficients between YTCPI and the EOF time array for the three ambient fields are 0.46,0.44 and 0.4,respectively,all statistically significant,aboveα=0.01.The YTCPI has the overall potential to be an improved prediction tool.     

Reconstruction of Conceptual Prediction Model for the Three Rainfall Patterns in the summer of eastern China under global warming

With the influence of global warming,the global climate has undergone significant inter-decadal variation since the late 1970s.Although El Nio-Southern Oscillation(ENSO)has been the strongest signal for predicting global climate inter-annual variability,its relation with the summer rainfall in China has significantly changed,and its indicative function on the summer rainfall in China has weakened.This has led to a significant decrease in the accuracy rate of early conceptual prediction models for the Three Rainfall Patterns in the summer of eastern China.On the basis of the difference analysis of atmospheric circulation system configuration in summer,as well as the interaction of ocean and atmospheric in previous winter between two phases,i.e.before and after the significant global warming(1951 to 1978 and 1979 to 2012,respectively),we concluded that(1)Under different inter-decadal backgrounds,the atmospheric circulations that impacted the Three Rainfall Patterns in the summer of eastern China showed consistency,but in the latter phase of the global warming,the Western Pacific Subtropical High(WPSH)was on the strong side,the position of which was in the south,and the blocking high in the Eurasia mid-high latitudes was active,while the polar vortex extended to the south,and meridional circulation intensified.This circulation background may have been conducive to the increase of the circulation frequency of Patterns II and III,and the decrease of the circulation frequency of Pattern I,thus leading to more Patterns II and III and fewer Pattern I in the summer rainfall of eastern China.(2)In the former phase,the corresponding previous winter SST fields of different rainfall patterns showed visible differences.The impact of ENSO on North Pacific Oscillation(NPO)was great,and the identification ability of which on Patterns I and II of summer rainfall was effective.In the latter phase,this identification ability decreased,while the impact of ENSO on the Pacific/North American(PNA)teleconnection pattern increased,and the identification ability of the PNA on Patterns II and III also increased.Based on the new inter-decadal climate background,this study reconstructs the conceptual prediction model for the Three Rainfall Patterns in summer of eastern China by using the previous winter PNA and the Eurasian(EU)teleconnection indexes.The fitting effect was satisfying,though it is necessary to be further tested.     

未来50a中国地区冻土面积分布变化

在检验CMIP3模式比较计划中模式在中国地区的温度模拟效果的基础上,选取模拟效果相对较好的HadCM3、EACHE5模拟结果,采用Kudryavtsev方法,应用数字化土壤和植被资料,借助Arc-GIS,对未来50 a中国地区在A2情景下的冻土空间变化趋势进行了模拟计算. 结果表明,在A2情景下,未来50 a中国地区的冻土呈现出退缩趋势,在2050年,多年冻土在青藏高原地区的巴颜喀拉山-唐古拉山之间、冈底斯山地区出现退化,中国的冻土面积较2006年减少约10.7%.     

寒区灌丛与积雪关系研究进展

在气候变化的背景下, 寒区灌丛与积雪的相互关系成为寒区水文循环研究的重要环节. 综述近几十年来寒区灌丛-积雪相互关系的国内外研究现状, 并对未来研究提出了展望. 寒区灌丛过去几十年来覆盖面积和生物量等呈现增加趋势, 灌丛的增加可截留积雪, 改变积雪重分布, 影响积雪消融过程; 积雪可增加灌丛区地温, 制约灌丛区融雪时空变化过程, 影响寒区灌丛的生理生态过程. 灌丛与积雪同为寒区自然生态系统和环境的重要组成部分, 二者相互作用使地面太阳辐射和地表水分分配过程复杂化, 从而间接地影响寒区冻土环境变化. 最后, 指出了未来研究需要重点关注的几个问题: 寒区灌丛区积雪分布的精确估计; 灌丛-积雪-冻土连续体的研究; 耦合灌丛-积雪作用的寒区水文模型的构建.