ELITE surface longwave upward radiaiton: FY-4A/AGRI hourly 4km all-sky SLUR (2020.04-06)

The Essential thermaL Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

This dataset is the 4km hourly all-sky SLUR product derived by the hybrid method under clear-sky conditions and the machine learning method under cloudy-sky conditions from the FY-4A/AGRI thermal infrared data, covering the AGRI 4km nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W). The in-situ validation results show that the bias (RMSE) of the retrieved AGRI SLUR are -0.67 (18.5) W/m² under clear-sky conditions, 1.05 (23.77) W/m² under cloudy-sky conditions, and -0.26 (19.87) under all-sky conditions, respectively. The temporal resolution and spatial resolution of this dataset are one hour and 4km, respectively.

This is the ELITE FY-4A/AGRI all-sky SLUR product from April to June 2020. Please click here to download the ELITE FY-4A/AGRI all-sky SLUR product from July to September 2020 and click here to download the ELITE FY-4A/AGRI all-sky SLUR product from January to  March 2020.

Dataset Characteristics:

• Spatial Coverage: AGRI nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W)
• Temporal Coverage: 2020
• Spatial Resolution: 4 km (subsatellite point)
• Temporal Resolution: one hour
• Data Format: NC
• Scale: 0.01

If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).