新気象研究所結合モデル (MRI-CGCM2)
新気象研究所結合モデル (MRI-CGCM2)
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DOI：
10.2467/mripapers.51.47
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发表时间：
2001
影响因子：
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通讯作者：
誠史 行本;彰浩 野田;昭雄 鬼頭;正人 杉;佳照 北村;征宏 保坂;清孝 柴田;修平 前田;貴雄 内山
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作者：
誠史 行本;彰浩 野田;昭雄 鬼頭;正人 杉;佳照 北村;征宏 保坂;清孝 柴田;修平 前田;貴雄 内山
气象研究所(MRI)开发了一个新版本的全球海气耦合环流模式(MRI-CGCM2)。该模型可以用来探索与人为强迫相关的气候变化。我们的目的是减少以前版本的模型(MRI-CGCM1，Tokioka)的缺点。埃特。1996年)，并实现更现实的气候平均值和变异性，以更准确地预测气候变化。在控制运行的初步分析中，模式在地表气温、降水、雪和海冰分布、海洋结构和环流等代表性方面表现出较好的再现平均气候(包括季节变化)的表现。该模型能够进行长达200年的稳定积分。海冰分布有较大改善，接近观测范围和厚度。该模型模拟了MRI-CGCM1未能模拟的大西洋经向翻转的真实强度。该模式逼真地模拟了北极涛动和ENSO等变化。NINO_3区(150°W~90°W，4°S~4°N)海表温度距平的时间变化具有较大的正值(Max)。+4°C)，间隔数年。海温异常与观测到的厄尔尼诺现象相似，在赤道中东部太平洋有一强正异常。目前，该模式仍存在一定的偏差。由于边界层稳定性较弱，冬季高纬度地面气温有偏暖现象。夏季陆地上的表面温度也显示出与水文过程有关的一个问题的温暖偏向。
A new version of a global coupled atmosphere-ocean general circulation model (MRI-CGCM2) has been developed at the Meteorological Research Institute (MRI). The model can be used to explore climate change associated with anthropogenic forcings. We aimed to reduce the drawbacks of the former version of the model (MRI-CGCM1, Tokioka. et. al., 1996) and achieve a more realistic climatic mean and variability to predict climate changes with greater accuracy. In a preliminary analysis of the control run, the model showed generally good performance in reproducing the mean climate (including seasonal variation) in representative aspects; surface air temperature, precipitation, snow and sea ice distribution, and ocean structure and circulation. The model is capable of making a stable integration longer than 200 years. The sea ice distribution is much improved and is close to the observed extent and thickness. The model simulates realistic strength of meridional overturning in the Atlantic Ocean that MRI-CGCM1 failed to simulate. The model realistically simulates variabilities such as Arctic Oscillation (AO) and ENSO. Temporal variation of the sea surface temperature (SST) anomaly in the NINO3 region (150°W to 90°W, 4°S to 4°N) shows a large positive value (max. +4°C) with several years interval. The SST anomaly pattern is similar to the observed El Nino with a strong positive anomaly in the central-eastern equatorial Pacific. The model still has some biases at present. The surface air temperature in winter at high latitude has a warm bias due to weaker stability in the boundary layer. The surface temperature over land in summer also shows a warm bias associated with a problem concerning the hydrological process.