The present study evaluates spatial and temporal characteristics of the Fengyun-3B (FY-3B)’s outgoing longwave radiation (OLR) data based on NOAA OLR data and the GPCP (Global Precipitation Climatology Project) precipitation data over the Asian—Australian region during 2011–2019. In terms of climatological distribution patterns and interannual standard deviation, FY-3B OLR are quite consistent with NOAA OLR, with annual and seasonal pattern correlation coefficients all exceeding 0.93. There are some discrepancies in the OLR magnitude between FY-3B and NOAA, especially for the OLR climatology; the climatological OLR from FY-3B are systematically larger than those from NOAA over the whole study region. In addition, examination of the temporal correlation coefficients between OLR and precipitation over the Asian—Australian monsoon (AAM) region reveals that both of the OLR datasets have captured the widespread negative correlation with precipitation, and FY-3B OLR exhibits a stronger relationship to precipitation over land. Moreover, FY-3B OLR exhibits better responses to the precipitation anomalies over India during the extreme El Niño and La Niña events. These results suggest that the FY-3B OLR dataset is of high quality and worthy of further global application.

本研究基于 NOAA OLR 数据和 GPCP（Global Precipitation Climatology Project）在亚澳地区的降水数据，评估风云三号 B（FY-3B）出射长波辐射（OLR）数据的时空特征。 2011-2019 年。在气候分布格局和年际标准差方面，FY-3B OLR与NOAA OLR相当一致，年度和季节格局相关系数均超过0.93。FY-3B 与 NOAA 的 OLR 量级存在一定差异，尤其是 OLR 气候学；FY-3B 的气候OLR 在整个研究区域内系统地大于NOAA 的OLR。此外，对亚澳季风（AAM）区域OLR与降水时间相关系数的考察表明，两个OLR数据集都反映了与降水普遍存在的负相关关系，而FY-3B OLR与陆地降水的相关性更强。此外，在极端厄尔尼诺和拉尼娜事件期间，FY-3B OLR 对印度上空的降水异常表现出更好的响应。这些结果表明，FY-3B OLR 数据集质量高，值得进一步全球应用。FY-3B OLR 在极端厄尔尼诺和拉尼娜事件期间对印度的降水异常表现出更好的响应。这些结果表明，FY-3B OLR 数据集质量高，值得进一步全球应用。FY-3B OLR 在极端厄尔尼诺和拉尼娜事件期间对印度的降水异常表现出更好的响应。这些结果表明，FY-3B OLR 数据集质量高，值得进一步全球应用。