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Evaluation of SRE Scenarios for Penang, Selangor and Johor in Peninsular Malaysia using PRECIS Regional Climate Model (RCM)

机译:使用PRECIS区域气候模型(RCM)评估马来西亚半岛槟城,雪兰莪和柔佛州的SRE情景

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Climate change is unambiguous as there is much evidence from around the world showing that changes have already occurred. This phenomenon is in response to an array of human activities, notably the release of greenhouse gases; an understanding of the rate, mode and scale of this change is now of literally vital importance to society. Researchers utilize climate models to study the dynamics of our changing climate and also to make future projections. Climate models are basic representation of many interactions within the Earth’s climate which includes the atmosphere, land surface, oceans and ice. These models are typically quantitative in nature and range from simple depictions of the climate to very complex ones. In this present study, downscaled PRECIS regional climate models (RCMs) were used to project the average minimum and average maximum temperatures and average precipitation for Penang, Selangor and Johor in Peninsular Malaysia. The RCM projections for these three states were developed based on ECHAM4 A2 and ECHAM5 A1B scenarios for the years 1980 to 2069 and ECHAM4 B2 scenario for the years 2010 to 2069. Bias correction will be applied to the simulated historical data to remove common systematic model errors. Historical observation data of monthly average minimum and maximum temperatures and monthly average rainfall from the Malaysian Meteorological Department (MMD) will be used in the bias correction. Finally, a RCM scenario which matches with the historical observation data of the three states for future projections will be recommended.
机译:气候变化是明确的,因为世界各地有许多证据表明气候变化已经发生。这种现象是对一系列人类活动的响应,特别是温室气体的释放。现在,了解这种变化的速度,方式和规模对社会至关重要。研究人员利用气候模型研究我们不断变化的气候的动态,并做出未来的预测。气候模型是地球气候中许多相互作用的基本表示,其中包括大气,陆地表面,海洋和冰层。这些模型通常是定量的,范围从简单的气候描述到非常复杂的描述。在本研究中,使用缩小的PRECIS区域气候模型(RCM)来预测马来西亚半岛的槟城,雪兰莪和柔佛州的平均最低和最高温度以及平均降水量。这三种状态的RCM预测是基于1980年至2069年的ECHAM4 A2和ECHAM5 A1B情景以及2010年至2069年的ECHAM4 B2情景开发的。偏差校正将应用于模拟历史数据,以消除常见的系统模型误差。来自马来西亚气象部门(MMD)的月平均最低和最高温度以及月平均降雨量的历史观测数据将用于偏差校正。最后,将推荐与三个州的历史观测数据相匹配的RCM方案,以用于将来的预测。

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