Tree-Ring δD as an Indicator of Asian Monsoon Intensity

Oxygen and hydrogen isotopic compositions of meteoric water are known to correlate with surface air temperature, except in tropical areas. This relationship has been described using a number of terms corresponding to specific observations, such as latitude, altitude and seasonal effects. However, these temperature effects do not seem to apply to precipitation in monsoonal areas of Asia. Questions have been raised as to whether the isotopic composition of meteoric water can be used to reconstruct paleomonsoon intensity. Tree rings of two modern spruce trees (Picea meyeri) and a 10,000-yr-old timber (Picea jezoensis) were analyzed for hydrogen isotopic composition. On average, the older tree is depleted in deuterium by 45‰ compared to the modern trees. We attribute this isotopic depletion to the strength of summer monsoons, which were more intense in the early Holocene than at present. Although this study is not definitive, it suggests that paleomonsoon intensity can be reconstructed by direct or proxy methods that yield the oxygen or hydrogen isotopic composition of meteoric water.     

Empirical calibration of climate policy using corporate solvency: a case study of the UK’s carbon price support

Emission reductions improve the chances that dangerous anthropogenic climate change will be averted, but could also cause some firms financial distress. Corporate failures, especially if they are unnecessary, add to the social cost of abatement. Social value can be permanently destroyed by the dissolution of organizational capital, deadweight losses paid to liquidators, and unemployment. This article proposes using measures of corporate solvency as an objective tool for policy makers to calibrate the optimal stringency of climate change policies, so that they can deliver the least loss of corporate solvency for a given level of emission reductions. They could also be used to determine the generosity of any compensation to address losses to corporate solvency. We demonstrate this approach using a case study of the UK’s Carbon Price Support (a carbon tax).

Key policy insights

• Solvency metrics could be used to empirically calibrate the optimal stringency of climate policies.

• An idealized solvency trajectory for firms affected by climate change policy would cause corporate solvency to initially decline – approaching but not exceeding ‘distressed’ levels – and then gradually improve to a new ‘steady state’ once the low-carbon transition had been achieved.

• In terms of the UK’s Carbon Price Support, corporate solvency of energy-intensive industries was found to be stable subsequent to its introduction. Therefore, the available evidence does not support its later weakening.

     

高原边坡复杂地形下短时强降水的云型特征分类

利用逐时雨量资料、常规高低空观测资料及FY-2卫星云图,对2010—2015年5—9月甘肃省高原边坡复杂地形下76次短时强降水过程个例的天气形势配置及卫星云图演变特征进行统计分析。结果表明,与甘肃省短时强降水过程相关的特征云型共有6类:副热带高压边沿型、逗点云型、冷锋前部型、冷锋尾部与南亚高压东侧叠置型、冷涡后部型、弱冷锋前部椭圆形MαCS型。其中,副热带高压边沿型、冷锋前部型、弱冷锋前部椭圆形MαCS型与低层暖平流强迫有关。逗点云型、冷锋尾部与南亚高压东侧叠置型主要受高低空冷暖平流强烈交汇影响。冷涡后部型是高空冷平流强迫下形成。冷锋尾部与南亚高压东侧叠置型具有较好的预报指示意义。     

一种短期气候预测集成技术的应用研究

以递归正权综合决策方案为基础，结合实际情况，首先对多种预报方法进行筛选，选取预报效果较好并且较为稳定的几种方法参与集成，并将集成结果写成Micaps数据格式，最终以图形方式显示出来。评分结果表明：该集成方法对温度预报和灾害指数预报较权重平均集成法效果好；而对月雨量预报和季度雨量、温度预报则与权重平均方法相当；但是对季度雨量、温度预报来说，集成后预测精度有明显提高。同时，将集成结果通过Micaps工作平台以图形方式显示，不仅客观、定量，而且更一目了然．     

全国地面资料自动收集处理系统的运行结构

全国地面资料实现通信传输后,统一预处理软件,在同一平台上建立国家和省一级地面资料收集处理运行系统,不仅可减少不必要的麻烦,简化操作提高工作效率,还可加强上下之间的联系,提高系统整体性和工作质量。     

过去2000年典型暖期北半球温度变化特征及成因分析

过去2000年包含了罗马暖期（Roman Warm Period,简称RWP）、中世纪气候异常期（Medieval Climate Anomaly,简称MCA）和现代暖期（Present Warm Period,简称PWP）这3个典型暖期,前人对罗马暖期的关注相对较少。为了更好地对比自然暖期和叠加了人类活动的暖期的温度变化特征及成因,文章利用通用地球系统模式（Community Earth System Model,简称CESM）的过去2000年气候模拟试验资料,在与重建资料和同化资料（Last Millennium Reanalysis,简称LMR）进行对比验证的基础上,对这3个典型暖期北半球的温度变化特征和成因机制进行了初步探讨。结果表明：CESM的全强迫试验能很好地模拟出重建资料与LMR所反映的两个自然暖期（RWP和MCA）以及PWP,PWP相较于RWP和MCA北半球增温幅度明显更大。通过对比单因子敏感性试验结果发现,RWP时期主要受土地覆盖变化的影响,同时太阳活动、火山活动强迫对地表增温有一定调节作用;而MCA时期的火山活动频率相比RWP时期更小,且太阳活动稳定,此时土地覆盖的调节作用相比RWP时期减弱;PWP时期在温室气体强迫驱动下,地表温度增加显著,其贡献远超过火山活动、太阳活动两个外强迫因子,此时土地利用/覆盖强迫对增温显示出负向影响,同时北极涛动增强,进一步加剧PWP时期的增温。

     

IPCC AR6报告解读：极端天气气候事件变化

与IPCC第五次评估报告（AR5）相比,在第六次评估报告（AR6）评估中,观测的极端天气气候事件变化证据,特别是归因于人为影响的证据加强。人类活动造成的气候变化已影响到全球每个区域的许多极端天气气候事件。随着未来全球变暖进一步加剧,预估极端热事件、强降水、农业生态干旱的强度和频次以及强台风（飓风）比例等将增加,越罕见的极端天气气候事件,其发生频率的增长百分比越大。这些结论再次凸显了应对气候变化和极端天气气候事件的必要性和紧迫性。     

岱海的"中世纪暖期"

内蒙古岱海沉积物近2200a来Rb/Sr比值、CaCO3和有机碳含量的变化展现了包括中世纪暖期（MWP）及小冰期（LIA）等典型气候事件在内的环境演化过程,总体表现为暖期的沉积物Rb/Sr比值低,冷期的则高：CaCO3和有机碳含量则相反。这里,以单一流域化学风化记录表明我国北方存在明显的中世纪暖期,发生时间约900－1200aB.P..主要环境特征表现为流域化学风化的显著增强（低Rb/Sr比值）、生物生产力逐步提高（高有机碳）、湖泊水位大幅度抬升的湖泊沉积记录,其间经历的化学风化是近两千年内最强的,并且其发生时间与全球其他地区基本一致。     

基于海洋气候数据集的区域海平面变化非线性预测

本文基于中国首套长时间序列、高精度、高时空一致性的全球海洋气候数据集产品, 利用1993年1月至2015年12月的山东半岛近海海平面异常数据, 构建了基于集合经验模式分解(EEMD)和长短期记忆神经网络(LSTM)的海平面非线性变化组合预测模型。EEMD可以得到海平面异常的各周期项、线性趋势及残差部分, LSTM模型可对其进行逐个预测并重构得到最终的海平面异常预测结果。EEMD-LSTM组合模型海平面异常预测的均方根误差仅为25.87 mm, 取得了令人满意的效果。基于该组合模型预测2016-2025年山东半岛近海海平面上升速率将达到3.54 mm·a^-1。     

“Trends” and variations of global oceanic evaporation data sets from remote sensing

The variability in global oceanic evaporation data sets was examined for the period 1988-2000. These data sets are satellite estimates based on bulk aerodynamic formulations and include the NASA/Goddard Space Flight Center Satellite-based Surface Turbulent Flux version 2 （ GSSTF2）, the Japanese-ocean flux using remote sensing observations （J-OFURO）, and the Hamburg Ocean-Atmosphere Parameters and Fluxes from Satellite version 2 （HOAPS2）. The National Center for Environmental Prediction （NCEP） reanalysis is also included for comparison. An increase in global average surface latent heat flux （SLHF） can be observed in all the data sets. Empirical mode decomposition （EMD） shows long-term increases that started around 1990 for all remote sensing data sets. The effect of Mt. Pinatubo eruption in 1991 is clearly evident in HOAPS2 but is independent of the longterm increase. Linear regression analyses show increases of 9.4%, 13.0%, 7. 3%, and 3.9% for GSSTF2, J-OFURO, HOAPS2 and NCEP, for the periods of the data sets. Empirical orthogonal function （EOF） analyses show that the pattern of the first EOF of all data sets is consistent with a decadal variation associated with the enhancement of the tropical Hadley circulation, which is supported by other satellite observations. The second EOF of all four data sets is an ENSO mode, and the correlations between their time series and an SO1 are 0.74, 0.71,0.59, and 0.61 for GSSTF2, J-OFURO, HOAPS2, and NCEP in that order. When the Hadley modes are removed from the remote sensing data, the residue global increases are reduced to 2.2% , 7. 3%, and 〈 1% for GSSTF2, J-OFURO and HOAPS, respectively. If the ENSO mode is used as a calibration standard for the data sets, the Hadley mode is at least comparable to, if not larger than, the ENSO mode during our study period.