Climate Futures for Tasmania: 30 years means of the bias-adjusted output of the simulation of the Cubic Conformal Atmospheric Model (CCAM) over Tasmania
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https://researchdata.edu.au/climate-futures-tasmania-ccam-tasmania/15308
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资源简介:
Output of downscaling various general circulation models (GCMs) simulations using the A2 and B1 SRES emissions scenario using the Cubic Conformal Atmospheric Model (CCAM) over Tasmania, bias adjusted against current climate. Data are averaged over 30 years periods.
The configuration of CCAM used is a 48x48 cells per face, with the high resolution face centered over Tasmania. The model takes the sea surface temperatures output from the GCM as boundary conditions into CCAM and uses spectral diffusion from the 60km version of CCAM run in conjunction with this model. This configuration provides an approximate resolution of 14km in the high resolution face.
The output is processed on to a 0.1 degree grid covering the region 142 to 150 degrees East and 38 to 45 degrees South, encompassing mainland Tasmania, Flinders and King Island.
Data is output 6 hourly and includes all CCAM variables, among which: air temperature, relative humidity, rainfall, runoff, soil moisture, cloud coverage, radiation, evaporation and wind speed. The modelling output covers the time period 01/01/1961 up to 31/12/2100.
The GCM data used as forcing was downloaded from The Program for Climate Model Diagnosis and Intercomparison (PCMDI).
本数据集为针对塔斯马尼亚地区,采用三次共形大气模式(Cubic Conformal Atmospheric Model, CCAM),基于A2与B1 SRES排放情景,对多组通用环流模式(General Circulation Models, GCMs)的模拟结果开展降尺度处理,并以当前气候为参照完成偏差校正后得到的成果。数据以30年时段为单位进行平均。
本次所使用的CCAM配置为每面包含48×48个网格单元,其高分辨率网格面以塔斯马尼亚为几何中心。该模式以GCM输出的海表温度作为边界条件输入CCAM,并耦合本模式配套的60km分辨率版本所采用的光谱扩散方案。此配置下高分辨率网格面的近似空间分辨率为14km。
处理后的输出数据被重投影至覆盖东经142°至150°、南纬38°至45°的0.1度规则网格,该区域涵盖塔斯马尼亚主岛、弗林德斯岛与金岛。
数据以6小时间隔输出,包含CCAM的全部模拟变量,具体包括:气温、相对湿度、降雨量、径流量、土壤湿度、云量、辐射通量、蒸发量与风速。该模拟结果的时间跨度为1961年1月1日至2100年12月31日。
作为模式强迫场的GCM数据下载自气候模式诊断与对比计划(Program for Climate Model Diagnosis and Intercomparison, PCMDI)。
提供机构:
Tasmanian Partnership for Advanced Computing



