Reprocessing 12-yr Microwave Humidity Sounder Historical Data of Fengyun-3 Satellites
Reprocessing 12-yr Microwave Humidity Sounder Historical Data of Fengyun-3 Satellites
复制标题
风云三号卫星12年微波湿度探测历史数据再处理
DOI：
10.1007/s13351-022-1110-x
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发表时间：
2022-04
影响因子：
3.2
通讯作者：
Zhang Peng
中科院分区：
文献类型：
--
作者：
Guo Yang;Dou Fangli;Wu Qiong;He Jieying;Zhang Shengwei;Wang Zhenzhan;Gu Songyan;Zhang Peng
大气水汽是一个重要的气候变量，具有广泛的时空变化。来自气象卫星的微波湿度观测为气候系统变量，包括大气水汽和可降水量，以及在数值天气预报和再分析中的同化提供了重要信息。作为中国第二代极轨运行气象卫星风云三号(FY-3)的有效载荷之一，微波湿度探测仪自2008年以来一直在连续观测全球湿度。本研究详细记录了FY-3 MWHS历史数据的再处理过程。在对数据进行校准和校正后，对重新处理后的数据集的质量进行了评估，并给出了改进的结果。结果表明，与Metop-A微波湿度探测仪(MHS)相比，MWHs的观测偏差约为0.8K。MWHs的时间变率与仪器温度高度相关。经过二次处理后，183 GHz通道的场景温度依赖性都得到了缓解，FY-3A/B/C之间的一致性和稳定性也得到了提高。
Atmospheric water vapor is an essential climate variable (ECV) with extensive spatial and temporal variations. Microwave humidity observations from meteorological satellites provide important information for climate system variables, including atmospheric water vapor and precipitable water, and assimilation in numerical weather prediction (NWP) and reanalysis. As one of the payloads onboard China's second-generation polar-orbiting operational meteorological Fengyun-3 (FY-3) satellites, the Microwave Humidity Sounder (MWHS) has been continuously observing the global humidity since 2008. The reprocessing of historical FY-3 MWHS data is documented in detail in this study. After calibrating and correcting the data, the quality of the reprocessed dataset is evaluated and the improvement is shown in this study. The results suggest that MWHS observations bias is reduced to approximately 0.8 K, compared with METOP-A Microwave Humidity Sounder (MHS). The temporal variability of MWHS is highly correlated with the instrument temperature. After reprocessing, the scene temperature dependency is mitigated for all 183 GHz channels, and the consistency and stability between FY-3A/B/C are also improved.
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影响因子：
8.2
作者：
He Jieying;Zhang Shengwei;Wang Zhenzhan
通讯作者：
He Jieying;Zhang Shengwei;Wang Zhenzhan
影响因子：
2.6
作者：
N. Atkinson
通讯作者：
N. Atkinson
影响因子：
3.8
作者：
Juan Li;Guiqing Liu
通讯作者：
Juan Li;Guiqing Liu
DOI：
10.11834/jrs.20080226
发表时间：
2008
期刊：
National Remote Sensing Bulletin
影响因子：
--
作者：
Wang Zhenzhan
通讯作者：
Wang Zhenzhan
影响因子：
9.8
作者：
T. Lang;S. Buehler;M. Burgdorf;I. Hans;V. John
通讯作者：
T. Lang;S. Buehler;M. Burgdorf;I. Hans;V. John