Spatial and Temporal Variations in Indian Summer Monsoon Rainfall and Temperature: An Analysis Based on RegCM3 Simulations

Regional climate models are important tools to examine the spatial and temporal characteristics of rainfall and temperature at high resolutions. Such information has potential applications in sectors like agriculture and health. In this study, the Regional Climate Model Version 3 (RegCM3) has been integrated in the ensemble mode at 55 km resolution over India for the summer monsoon season during the years 1982–2009. Emphasis has been given on the validation of the model simulation at the regional level. In Central India, both rainfall and temperature show the best correlations with respective observed values. The model gives rise to large wet biases over Northwest and Peninsular India. RegCM3 slightly underestimates the summer monsoon precipitation over the Central and Northeast India. Nevertheless, over these regions, RegCM3 simulated rainfall is closer to the observations when compared to the other regions where rainfall is overestimated. The position of the monsoon trough simulated by the model lies to the north of its original observed position. This is similar to the usual monsoon break conditions leading to less rainfall over Central India. RegCM3 simulated surface maximum temperature shows a large negative bias over the country while the surface minimum temperature is close to the observation. Nevertheless, there is a strong correlation between the all India weighted average surface temperature simulated by RegCM3 and IMD observed values. While examining the extreme weather conditions in Central India, it is found that RegCM3 simulated frequencies of occurrence of very wet days, extremely wet days, warm days and warm nights more often as compared to those in IMD observed values. However, these are systematic biases. The model biases in the frequencies of distribution of rainfall extremes explain the wet and dry biases in different regions in the country. Overall, the inter-annual characteristics of both the rainfall and temperature extremes simulated by RegCM3 in Central India are well in phase with those found in the observed data.     

Spatial Statistical Properties of Pressure Solution Seams in Clastic Rocks in Southwest Ireland

Length, height, thickness and spacing measurements of pressure solution seams at outcrop, hand sample and thin section scale were taken from clastic rocks located in the southwest of Ireland. The lengths and spacings of pressure solution seams have similarly shaped (approximately log-hyperbolic) distributions at the observed scales suggesting that length and spacing distributions are scale-independent over the scales studied with a fractal dimension in the range of 1.4 to 1.6. Pressure solution seam lengths and thicknesses are related by a power-law and their spacings have a linear relationship to bed thickness. Although pressure solution seams are often considered as anticracks (forming under the same remote stresses as joints, but with opposite sign) we describe how the mechanism of pressure solution differs substantially from that of jointing. We use an existing mechanical model to show that stresses around pressure solution seam tips are much lower than those for joints under equal but opposite loading conditions. Pressure solution seams also have a decreasing tendency to lengthen as they grow, which is reflected in their length distributions. We propose that pressure solution seams, unlike joints, do not reach fracture saturation spacing because of transverse coalescence.     

A BPR approach to hydrogeological risk management

Every year, landslides and floods cause deaths, missing persons, injured people, evacuees, and homeless people. Serious damages to property and pollution are also produced. Lessons learn from landslides and flood disasters recently occurred show that flood and disaster management should be widely improved. This paper deals the problem of hydrogeological risk management from a logistic and a managerial point of view. The hydrological risk management is studied as an industrial process, and it is modeled by the IDEF0 language. The IDEF0 application provides a clear overview of the system and became a structured base for the re-engineering process. For each function of the process, the inputs, outputs, and necessary controls and resources have been identified. The use of the IDEF0 provides a simple and effective tool for the decision-making process. Starting from a realistic and efficient current state model, the process of re-engineering has been implemented. The main aim of the change introduced in the process is to improve the information management that it is a crucial point of the risk management.     

温室效应引起的中国区域气候变化的数值模拟Ⅱ:中国区域气候的可能变化

使用RegCM2区域气候模式单向嵌套澳大利亚CSIRO R21L9全球海-气耦合模式,进行了温室气体CO2加倍对中国气候变化影响的数值试验研究。该文为第2部分,对敏感性试验结果进行的分析。分析表明:由于温室效应,中国区域的地面气温特别是在冬季和北方将有明显升高,区域年平均的升高值为2.5℃;同时区域内日最高和最低气温将明显上升,日较差将减小。结果还表明,在CO2倍增条件下,中国区域降水将呈增加趋势,区域年平均的增加值为12％;以夏季的增加率最大,其次为冬季。中国汛期降水将呈现出“三类雨型”出现频率增多的趋势。南方的大雨日数将有所增加。此外,生成和影响中国的台风数目也将有所增加。温室气体的增加同时对环流场产生影响,如导致500 hPa高度场的升高。