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The Arctic Climate and Its Change Revealed by Surface and Cloud Properties and Radiation Fluxes Based on the AVHRR Polar Pathfinder Data Set

机译:基于AVHRR极地探测器数据集的表面和云属性和辐射通量揭示了北极气候及其变化

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The newly available Advanced Very High Resolution (AVHRR) Polar Pathfinder (APP) data set of 18 years from 1982 to 1999, subsampled to a 25 km scale, was used to retrieve cloud amount, cloud optical depth, cloud particle size, cloud temperature, cloud particle phase, surface temperature, surface broadband albedo, radiation fluxes and shortwave and longwave cloud forcing over the Arctic ocean and surrounding land areas. The spatial and temporay distributions of those retrieved Arctic climate parameters together with an analysis of the seasonal and interannual variability in those parameters, especially surface temperature, surface broadband albedo, cloud amount and precipitable water, are presented. Results show that the Arctic climate has indeed warmed up as indicated by surface temperature, cloud amount, cloud particle size and phase at confidence level of higher than 95% for Spring and Summer times, but cooled down in winter. The surface broadband albedo has decreased significantly in Autumn indicating the late onset of sea ice and snow, especially for the Arctic ocean area. The Arctic ocean surface temperature has decreased during the wintertime at confidence level of 97%, especially for the central and eastern Arctic oceans. The Arctic Oscillation(AO) has strong correlation relationship with the surface temperature and cloud amount for some Arctic areas at the confidence level of almost 100%. For different areas in the entire Arctic region, the correlation relationship is different. The surface temperature and cloud amount in Greenland have negative correlation with the AO simultaneously, while that correlation turns to be positive in the north Europe area, indicating the different Arctic areas have different effects and feedback on the global climate system or vice versa.
机译:从1982年到1999年的新可高级高分辨率(AVHRR)Polar Pator(APP)数据集18年来,Subs采样到25公里的比例,用于检索云量,云光学深度,云粒径,云温度,云粒子相,表面温度,表面宽带反照,辐射助焊剂和短波和龙波云强迫北冰洋和周边地区。这些空间和临时分布在北极气候参数中检索的是分析这些参数,尤其是表面温度,表面宽带反照来,云量和可降水的季节性和续变性。结果表明,北极气候确实如表面温度,云量,云粒度和速度高于95%的速度为95%,但在冬季冷却。表面宽带Albedo在秋季显着下降,表明海冰和雪的后期发作,特别是北冰洋地区。北极海洋表面温度在冬季的置信期间处于97%的置信度,特别是对于中央和东部北极海洋。北极振荡(AO)与某些北极地区的表面温度和云量具有较强的相关关系,距离距离近100%。对于整个北极地区的不同区域,相关关系是不同的。格陵兰的表面温度和云量同时与AO负相关,而相关性转变为北欧地区的正面,表明不同的北极地区对全球气候系统的反馈不同,反之亦然。

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