Cloud-Cleared Radiances From Collocated Observations of Hyperspectral IR Sounder and Advanced Imager Onboard the Same Geostationary Platform,IEEE Transactions on Geoscience and Remote Sensing

当前位置： X-MOL 学术 › IEEE Trans. Geosci. Remote Sens. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Cloud-Cleared Radiances From Collocated Observations of Hyperspectral IR Sounder and Advanced Imager Onboard the Same Geostationary Platform
IEEE Transactions on Geoscience and Remote Sensing ( IF 7.5 ) Pub Date : 2024-09-11 , DOI: 10.1109/tgrs.2024.3458093
Xinya Gong ₁ , Zhenglong Li ₂ , Jun Li ₁ , Ruoying Yin ₃ , Wei Han ₃ , Lin Chen ₁ , Di Di ₄

Affiliation

The Geostationary Interferometric Infrared Sounder (GIIRS) onboard China’s Fengyun-4A (FY-4A) geostationary (GEO) meteorological satellite provides high-spectral-resolution infrared (IR) observations for targeted observing areas with high temporal resolution. Due to the high uncertainties in radiative transfer modeling of cloudy radiances, it is challenging to take full advantage of the thermodynamic information from GIIRS in all-sky conditions. The Advanced Geostationary Radiation Imager (AGRI) onboard the same platform provides a variety of cloud products with high spatial resolution. A bias-corrected optimal cloud-clearing (BCOCC) approach is introduced to generate GIIRS cloud-cleared radiances (CCRs) with the help of AGRI-collocated clear radiances (CLRs). The bias correction (BC) scheme is based on the inter-comparisons between GIIRS and AGRI for each field-of-view (FOV) and different scene temperatures. The BC method ensures the radiometric consistency between GIIRS and AGRI. Evaluations of GIIRS CCRs show that the mean biases are 0.09, −0.06, and 0.06 K when compared with the three AGRI IR bands, B12, B13, and B14. In addition, BCOCC significantly increases the data yields of successful CCRs by three times that of the optimal cloud-clearing (OCC) approach without BC. For 15 days from September 16–30, 2021, around 37% more GIIRS partially cloudy footprints than clear sky are cloud cleared successfully. The CCRs can be assimilated as CLRs in numerical weather prediction (NWP) models without worrying about the cloud impact. This study provides evidence of the importance of placing an advanced hyperspectral IR sounder and imager onboard the same GEO platform for better quantitative applications.

更新日期：2024-09-11

点击分享查看原文

点击收藏

阅读更多本刊新发论文本刊介绍/投稿指南