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Simulating the climate of South Pacific islands using a high resolution model

机译:使用高分辨率模型模拟南太平洋岛屿的气候

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Downscaled regional climate simulations for Fiji and Federated States of Micronesia (FSM) from Coupled Model Intercomparison Project 3 (CMIP3) Global Coupled Models (GCMs) are carried out as part of the Pacific Climate Change Science Program (PCCSP) using the CSIRO stretched-grid Conformal Cubic Atmospheric Model (CCAM) for the period 1980-2000. The model simulations are performed at 60 km and at 8 km horizontal resolutions. The higher resolution is chosen to partly resolve the detailed orography of the countries selected, providing insight into the spatial distribution of temperature and precipitation for an individual island that GCMs are unable to represent. The downscaling is carried out in two steps. First, CCAM simulations are run on a global 60 km grid using bias-corrected sea surface temperatures (SST) and sea ice from six CMIP3 GCMs. Three of these 60 km simulations are then further downscaled to 8 km resolution over the two countries. The focus of this paper is validation of these high-resolution simulations against gridded analyses, satellite rainfall climatologies and available station data for rainfall and temperature for the period 1980-2000. The results show that high resolution orography plays an important role in capturing the current climate. The validation demonstrates that the 8 km simulations are capable of realistically depicting the current climate when the topography influences the wind flow and rainfall (Fiji), performing better than both the GCMs and the 60 km downscaled simulations. However, the performance of the 8 km simulations is similar to the GCM and 60 km simulations when topographical features are not present (FSM).
机译:作为太平洋气候变化科学计划(PCCSP)的一部分,使用CSIRO拉伸网格,通过耦合模型比较项目3(CMIP3)进行了斐济和密克罗尼西亚联邦(FSM)的按比例缩小的区域气候模拟1980年至2000年期间的保形立方大气模型(CCAM)。模型仿真以60 km和8 km的水平分辨率执行。选择较高的分辨率可以部分解决所选国家/地区的详细地形,从而深入了解GCM无法代表的单个岛屿的温度和降水的空间分布。缩小过程分为两个步骤。首先,CCAM模拟是在全球60公里的网格上进行的,其中使用了经过校正的海面温度(SST)和来自六个CMIP3 GCM的海冰。然后,这两个60 km模拟中的三个在两国上进一步缩小为8 km分辨率。本文的重点是针对网格分析,卫星降雨气候以及1980-2000年期间可用的降雨和温度站数据对这些高分辨率模拟进行验证。结果表明,高分辨率地形学在捕获当前气候方面起着重要作用。验证表明,当地形影响风流和降雨(Fiji)时,8 km模拟能够真实地描绘当前气候,其性能优于GCM和60 km缩小比例的模拟。但是,当没有地形特征(FSM)时,8 km模拟的性能类似于GCM和60 km模拟。

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