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Robust comparison of climate models with observations using blended land air and ocean sea surface temperatures

机译:使用混合陆地空气和海洋海面温度进行观测的气候模型的稳健比较

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摘要

The level of agreement between climate model simulations and observed surface temperature change is a topic of scientific and policy concern. While the Earth system continues to accumulate energy due to anthropogenic and other radiative forcings, estimates of recent surface temperature evolution fall at the lower end of climate model projections. Global mean temperatures from climate model simulations are typically calculated using surface air temperatures, while the corresponding observations are based on a blend of air and sea surface temperatures. This work quantifies a systematic bias in model-observation comparisons arising from differential warming rates between sea surface temperatures and surface air temperatures over oceans. A further bias arises from the treatment of temperatures in regions where the sea ice boundary has changed. Applying the methodology of the HadCRUT4 record to climate model temperature fields accounts for 38% of the discrepancy in trend between models and observations over the period 1975-2014.
机译:气候模型模拟与观测到的地表温度变化之间的一致性水平是科学和政策关注的话题。虽然地球系统由于人为和其他辐射强迫而继续积累能量,但近期表面温度演变的估算值却落在了气候模型预测的较低端。气候模型模拟的全球平均温度通常是使用地表空气温度来计算的,而相应的观测结果则是基于空气和海面温度的混合得出的。这项工作量化了模型观测结果比较中的系统性偏差,该偏差是由海洋表面温度与海洋表面温度之间的不同升温速率引起的。在海冰边界改变的区域中对温度的处理会引起进一步的偏差。将HadCRUT4记录的方法应用于气候模型温度场,占1975-2014年期间模型与观测值之间趋势差异的38%。

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