Venugopal Thandlam, A. Rutgersson, H. Rahaman, Mounika Yabaku, Venkatramana Kaagita, Venkatramana Reddy Sakirevupalli
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引用次数: 0
摘要
云和地球辐射能系统计划使用中分辨率成像光谱仪(CM),随着新卫星的发射和新升级的辐射数据的可用性,该计划得到了更新。研究了2000 - 2017年30°S - 30°N全球热带海洋1°CM 3 (CMv3)(旧)和4 (CMv4)(新)日平均下潜短波(Q S)和长波辐射(Q L)资料的时空变化特征。使用全球热带系泊浮标阵列的每日现场数据来验证2000年至2015年的CM数据。与CMv3相比,CMv4中的Q S和Q L在偏差、均方根误差和标准差方面都有显著改善。此外,长期趋势分析表明,南半球的Q S以每年1 W m−2的速度增加。相反,北半球有−0.7 W m−2的年递减趋势。qs和ql表现出相似的空间趋势。而在印度洋、印度洋-太平洋暖池区和南半球,CMv3和CMv4的Q - L空间格局呈现相反的变化趋势(0.5 W m−2)。qs和ql的这些年趋势可能导致热带海洋的海面温度每年变化- 0.2至0.3°C。这些结果强调了精确辐射通量数据的重要性,CMv4可以作为再分析或其他模式模拟数据的替代方案。
Quantifying uncertainties in CERES/MODIS Downwelling radiation fluxes in the global tropical oceans
The Clouds and the Earth's Radiant Energy System program, which uses the Moderate Resolution Imaging Spectroradiometer (CM), has been updated with the launch of new satellites and the availability of newly upgraded radiation data. The spatial and temporal variability of daily averaged synoptic 1-degree CM version 3 (CMv3) (old) and version 4 (CMv4) (new) downwelling shortwave (Q S ) and longwave radiation (Q L ) data in the global tropical oceans spanning 30°S–30°N from 2000 to 2017 is investigated. Daily in situ data from the Global Tropical Moored Buoy Array were used to validate the CM data from 2000 to 2015. When compared to CMv3, both Q S and Q L in CMv4 show significant improvements in bias, root-mean-square error, and standard deviations. Furthermore, a long-term trend analysis shows that Q S has been increasing by 1 W m − 2 per year in the Southern Hemisphere. In contrast, the Northern Hemisphere has a − 0.7 W m − 2 annual decreasing trend. Q S and Q L exhibit similar spatial trend patterns. However, in the Indian Ocean, Indo-Pacific warm pool region, and Southern Hemisphere, Q L spatial patterns in CMv3 and CMv4 differ with an opposite trend (0.5 W m − 2 ). These annual trends in Q S and Q L could cause the sea surface temperature to change by − 0.2 to 0.3 °C per year in the tropical oceans. These results stress the importance of accurate radiative flux data, and CMv4 can be an alternative to reanalysis or other model-simulated data.