吉林省洪涝造成农业损失的气象影响因素分析及评估方法研究

本文利用统计和农业部门的农业受灾面积资料，利用农业部门对灾害损失的估算方法，建立了历年吉林省洪涝损失序列，进而分析了洪涝损失序列和吉林省气象要素的关系，利用洪涝损失和吉林省气象要素的明显相关关系，建立了基于气象要素的洪涝损失评估模型，并进一步对洪涝损失年型进行了划分。     

宁波市气候变化对水资源的影响

通过对宁波市水资源有关参数的计算，了解宁波水资源状况，根据工农业和生活用水，经济发展规划对水资源的需求，分析了宁波市气候和气候变化对水资源的影响，为更好地促进水资源向可利用水资源的转化，利用和开发好水资源提出了建议。     

挖掘气象科技档案信息资源 做好档案提供利用工作

介绍了气象科技档案提供利用的含义，对其在气象服务中的地位和作用进行了分析。列举了我区气象科技档案工作在提供利用上存在的问题，对气象科技档案开展提供利用可能途径与技术方法进行了初步探讨。     

神经网络在气象观测资料优化中的应用研究

利用一种改进的BP算法，对气象观测资料进行优化处理，并把神经网络方法看作是时间序列方法的扩充。利用该算法提出了基于空间相关、时间相关、模式相关三种资料优化处理方案，为气象观测资料的优化提供了一条新方法。利用文中的方法，对黑河地区的观测资料进行了修正实验，取得了比较满意的结果。     

近50年平凉地区气候变化及其对农业生产的影响

利用统计学方法对80年代前后平凉地区的气候变化特点进行了研究，并分析了气候变化对农业生产所产生的影响，为合理利用本地气候资源提供依据。     

利用气象卫星遥感信息估算水稻种植面积方法的研究

本文主要介绍利用气象卫星AVHRR遥感信息，对其进行大气校正和几何精校正，取植被指数和近红外反照率为识别指标，利用分段因子方法解译混合像元，对长春地区的水稻种植面积进行了估算。结果表明，只要掌握好最佳识别时相，对气象卫星信息定位准确，利用气象卫星遥感信息估算水田面积是完全可行的。     

雷暴下的电流密度测量和准稳态特性讨论

利用电场和麦克斯韦电流密度的同时测量，对雷暴下闪电间的麦克斯韦电流密度的准稳态特性进行了验证，并利用实验观测和模式计算相结合的方法，对传导电流、位移电流和电晕电流的相对重要性作了估计。     

秭归县旱灾规律及其防御对策初探

利用秭归1959－2000年常规地面气象观测资料，对近42年秭归降水特征作了分析，揭示了该县的干旱规律，并结合理开发和科学利用水资源进行了探讨。     

模糊神经网络在台风云系图象识别中的应用

利用数学形态学方法对台风云系进行区域分割，计算并统计出了台风云系纹理特征的概率密度，然后结合模糊判别技术，利用多层神经网络对ＧＭＳ云图的台风云系进行图象识别，结果表明，该方案是成功的。     

数值预报产品在双流机场雷雨过程中的检验及应用

本文利用数值产品对双流机场雷雨天气过程进行检验，对双流机场雷雨过程的天气形势和要素场的特征进行了分析，并利用WAFS产品制作了高空（850hPa)温度演变预报图图例，对本场的雷雨预报有一定的参考作用。     

Impacts of climate change on primary production and carbon sequestration of boreal Norway spruce forests: Finland as a model

The aim of this study was to estimate the potential impacts of climate change on the spatial patterns of primary production and net carbon sequestration in relation to water availability in Norway spruce (Picea abies) dominated forests throughout Finland (N 60°–N 70°). The Finnish climatic scenarios (FINADAPT) based on the A2 emission scenario were used. According to the results, the changing climate increases the ratio of evapotranspiration to precipitation in southern Finland, while it slightly decreases the ratio in northern Finland, with regionally lower and higher soil water content in the south and north respectively. During the early simulation period of 2000–2030, the primary production and net carbon sequestration are higher under the changing climate in southern Finland, due to a moderate increase in temperature and atmospheric CO₂. However, further elevated temperature and soil water stress reduces the primary production and net carbon sequestration from the middle period of 2030–2060 to the final period of 2060–2099, especially in the southernmost region. The opposite occurs in northern Finland, where the changing climate increases the primary production and net carbon sequestration over the 100-year simulation period due to higher water availability. The net carbon sequestration is probably further reduced by the stimulated ecosystem respiration (under climate warming) in southern Finland. The higher carbon loss of the ecosystem respiration probably also offset the increased primary production, resulting in the net carbon sequestration being less sensitive to the changing climate in northern Finland. Our findings suggest that future forest management should carefully consider the region-specific conditions of sites and adaptive practices to climate change for maintained or enhanced forest production and carbon sequestration.     

On climate change and economic analysis

Climatic change and its societal impacts have been a topic of considerable concern over the last decade. Economic analysis would seem to have much to contribute to society's understanding of the importance of this issue, yet the contributions of prior analyses have been limited. Consideration from a decision-analytic perspective suggests that more useful insights could be gained by evaluating the effects of a changing (rather than changed) climate and the potential adaptations of society to that changing climate. Linking physical and economic models of differing levels of aggregation can be useful in analyzing a changing climate.S. T. Sonka is Professor, Department of Agricultural Economics, University of Illinois at Urbana-Champaign, and Principal Scientist at the Illinois State Water Survey. P. J. Lamb is Principal Scientist and Head, Climate and Meteorology Section, Illinois State Water Survey, and Professor, Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign.     

Impact of climate change on corrosion and damage to concrete infrastructure in Australia

The durability of concrete is determined largely by its deterioration over time which is affected by the environment. Climate change may alter this environment, causing an acceleration of deterioration processes that will affect the safety and serviceability of concrete infrastructure in Australia, U.S., Europe, China and elsewhere. This investigation of concrete deterioration under changing climate in Australia uses Monte-Carlo simulation of results from General Circulation Models (GCMs) and considers high greenhouse gas emission scenarios representing the A1FI schemes of the IPCC. We present the implications of climate change for the durability of concrete structures, in terms of changes in probability of reinforcement corrosion initiation and corrosion induced damage at a given calendar year between 2000 and 2100 across Australia. Since the main driver to increased concrete deterioration is CO₂ concentration and temperature, then increases in damage risks observed in Australia are likely to be observed in other concrete infrastructure internationally. The impact of climate change on the deterioration cannot be ignored, but can be addressed by new approaches in design. Existing concrete structures, for which design has not considered the effects of changing climate may deteriorate more rapidly than originally planned.     

影响青藏高原植被生理过程与大气CO2浓度及气候变化的相互作用

利用一陆面过程模式,初步模拟研究了青藏高原夏季风盛行期植被生理过程与大气CO2浓度及气候变化的相互作用。结果表明,气候以及大气CO2浓度变化对青藏高原地区的植被生理过程有较明显的影响,高温、高温和高CO2浓度将加强高原植被的光合作用和呼吸作用,有利于植被生长。高原植被也可通过生理过程,产生净CO2呼收,降低大气CO2含量,起到调整温室效应的作用,从而影响全球气候变化;当气温升高、大气CO2增加时,这种作用更加有效。青藏高原地区大气CO2浓度加倍,对高原地区气候的直接影响不明显。植被的存在也会影响区域气候变化,并可通过改变高原热源,进而影响高原及其周边地区气候变化。文中还归纳出了植被生理与气候相互作用的简单概念模型。     

Assessment of a climate model to reproduce rainfall variability and extremes over Southern Africa

It is increasingly accepted that any possible climate change will not only have an influence on mean climate but may also significantly alter climatic variability. A change in the distribution and magnitude of extreme rainfall events (associated with changing variability), such as droughts or flooding, may have a far greater impact on human and natural systems than a changing mean. This issue is of particular importance for environmentally vulnerable regions such as southern Africa. The sub-continent is considered especially vulnerable to and ill-equipped (in terms of adaptation) for extreme events, due to a number of factors including extensive poverty, famine, disease and political instability. Rainfall variability and the identification of rainfall extremes is a function of scale, so high spatial and temporal resolution data are preferred to identify extreme events and accurately predict future variability. The majority of previous climate model verification studies have compared model output with observational data at monthly timescales. In this research, the assessment of ability of a state of the art climate model to simulate climate at daily timescales is carried out using satellite-derived rainfall data from the Microwave Infrared Rainfall Algorithm (MIRA). This dataset covers the period from 1993 to 2002 and the whole of southern Africa at a spatial resolution of 0.1° longitude/latitude. This paper concentrates primarily on the ability of the model to simulate the spatial and temporal patterns of present-day rainfall variability over southern Africa and is not intended to discuss possible future changes in climate as these have been documented elsewhere. Simulations of current climate from the UK Meteorological Office Hadley Centre’s climate model, in both regional and global mode, are firstly compared to the MIRA dataset at daily timescales. Secondly, the ability of the model to reproduce daily rainfall extremes is assessed, again by a comparison with extremes from the MIRA dataset. The results suggest that the model reproduces the number and spatial distribution of rainfall extremes with some accuracy, but that mean rainfall and rainfall variability is under-estimated (over-estimated) over wet (dry) regions of southern Africa.     

Paleoclimate histories improve access and sustainability in index insurance programs

Proxy-based climate reconstructions can extend instrumental records by hundreds of years, providing a wealth of climate information at high temporal resolution. To date, however, their usefulness for informing climate risk and variability in policy and social applications has been understudied. Here, we apply tree-ring based reconstructions of drought for the last 700 years in a climate index insurance framework to show that additional information from long climate reconstructions significantly improves our understanding of the underlying climate distributions and variability. We further show that this added information can be used to better characterize risk to insurance providers, in many cases providing meaningful reductions in long-term contract costs to farmers in stand-alone policies. The impact of uncertainty on insurance premiums can also be reduced when insurers diversify portfolios, and the availability of long-term climate information from tree rings across a broad geographic range provides an opportunity to characterize spatial correlation in climate risk across geographic regions. Our results are robust to the range of climate variability experienced over the last 400 years and in model simulations of the twenty-first century, even within the context of changing baselines due to low frequency variability and secular climate trends. These results demonstrate the utility of longer-term climate histories in index insurance applications. Furthermore, they make the case from a climate-variability perspective for the continued importance of such approaches to improving the instrumental climate record, even into a non-stationary climate future.     

The effects of increased stream temperatures on juvenile steelhead growth in the Yakima River Basin based on projected climate change scenarios

Stakeholders within the Yakima River Basin expressed concern over impacts of climate change on mid-Columbia River steelhead (Oncorhynchus mykiss), listed under the Endangered Species Act. We used a bioenergetics model to assess the impacts of changing stream temperatures—resulting from different climate change scenarios—on growth of juvenile steelhead in the Yakima River Basin. We used diet and fish size data from fieldwork in a bioenergetics model and integrated baseline and projected stream temperatures from down-scaled air temperature climate modeling into our analysis. The stream temperature models predicted that daily mean temperatures of salmonid-rearing streams in the basin could increase by 1–2 °C and our bioenergetics simulations indicated that such increases could enhance the growth of steelhead in the spring, but reduce it during the summer. However, differences in growth rates of fish living under different climate change scenarios were minor, ranging from about 1–5 %. Because our analysis focused mostly on the growth responses of steelhead to changes in stream temperatures, further work is needed to fully understand the potential impacts of climate change. Studies should include evaluating changing stream flows on fish activity and energy budgets, responses of aquatic insects to climate change, and integration of bioenergetics, population dynamics, and habitat responses to climate change.     

土壤湿度年际异常对中国春、夏季气候模拟的影响

基于NCAR大气模式CAM3.1模式,设计了有、无土壤湿度年际异常两组试验对中国区域近40a(1961-2000年)气候进行了模拟。从气候态和年际变率的角度,通过分析两组试验的差值场来探讨土壤湿度年际异常对气候模拟的影响,并初步探讨了影响的可能机制。结果表明:模式模拟的温度和降水对土壤湿度的年际异常非常敏感,土壤湿度的年际变化对中国春夏季气候及其年际变率均有显著影响。当不考虑土壤湿度年际异常时,模式模拟的春夏季平均温度、最高温度、最低温度在我国大范围内降低,春夏季降水在东部大部分地区明显减少,西部增加。而模式模拟的春夏季温度、降水年际变率在中国大部分地区减弱。但当考虑土壤湿度的年际变化,则能在一定程度上提高模式对气候年际变率的模拟能力。在进一步分析表明土壤湿度年际异常时,主要通过改变地表能量通量和环流场,对温度、降水产生影响。当不考虑土壤湿度年际异常时,地表净辐射通量减少,地表温度降低,感热通量减少。感热通量差值场的空间变化和温度差值场的空间变化一致,感热通量对温度有一定影响。而潜热通量差值场的空间变化和降水的差值场的空间变化一致,可见降水受地表潜热通量的影响。土壤湿度年际异常引起的环流场的变化也是导致气候变化的原因之一,地表能量和环流场年际变率的改变对春夏季气候年际变率存在一定影响。     

Integrated analysis of risks of coastal flooding and cliff erosion under scenarios of long term change

The risks to human populations in coastal areas are changing due to climate and socio-economic changes, and these trends are predicted to accelerate during the twenty-first century. To understand these changing risks, and the resulting choices and pathways to successful management and adaptation, broad-scale integrated assessment is essential. Due to their complexity the two risks of flooding and erosion are usually managed independently, yet frequently they are interconnected by longshore exchange of sediments and the resulting broad scale morphological system behaviour. In order to generate new insights into the effects of climate change and coastal management practises on coastal erosion and flood risk, we present an integrated assessment of 72 km of shoreline over the twenty-first century on the East Anglian coast of England which is a site of significant controversy about how to manage coastal flood and erosion risks over the twenty-first century. A coupled system of hydrodynamic, morphological, reliability and socio-economic models has been developed for the analysis, implemented under scenarios of coastal management, climate and socio-economic change. The study is unique in coastal management terms because of the large spatial scale and extended temporal scale over which the analysis is quantified. This study for the first time quantifies what has for some years been argued qualitatively: the role of sediments released from cliff erosion in protecting neighbouring low-lying land from flooding. The losses and benefits are expressed using the common currency of economic risk. The analysis demonstrates that over the twenty-first century, flood risk in the study area is expected to be an order of magnitude greater than erosion risk. Climate and socio-economic change and coastal management policy have a significant influence on flood risk. This study demonstrates that the choices concerning coastal management are profound, and there are clear tradeoffs between erosion and flood impacts.     

Climate variability and inter-provincial migration in South America, 1970–2011

We examine the effect of climate variability on human migration in South America. Our analyses draw on over 21 million observations of adults aged 15–40 from 25 censuses conducted in eight South American countries. Addressing limitations associated with methodological diversity among prior studies, we apply a common analytic approach and uniform definitions of migration and climate across all countries. We estimate the effects of climate variability on migration overall and also investigate heterogeneity across sex, age, and socioeconomic groups, across countries, and across historical climate conditions. We also disaggregate migration by the rural/urban status of destination. We find that exposure to monthly temperature shocks has the most consistent effects on migration relative to monthly rainfall shocks and gradual changes in climate over multi-year periods. We also find evidence of heterogeneity across demographic groups and countries. Analyses that disaggregate migration by the rural/urban status of destination suggest that much of the climate-related migration is directed toward urban areas. Overall, our results underscore the complexity of environment-migration linkages and challenge simplistic narratives that envision a linear and monolithic migratory response to changing climates.