ELITE surface longwave downward radiation: global 1km Swath 5-min SLDR - Aqua (2010.01-03)

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 ELITE global 1km instantaneous SLDR product ranging from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS, Terra and Aqua) data using the algorithm developed by Cheng et al. (2017) and Yang and Cheng. (2020).

This is the ELITE SLDR (Aqua) product in 2010.01-2010.03.  Please click here to download the ELITE SLDR (Aqua) product in 2009.10-2009.12 and click here to download the ELITE SLDR (Aqua) product in 2010.04-2010.06.

Dataset Characteristics:

• Spatial Coverage: Global
• Temporal Coverage: 2010
• Spatial Resolution: 1 km
• Temporal Resolution: 5min/instantaneous
• Data Format: hdf
• Scale: 0.05
• Offset: -1000

Citation (Please cite these papers when using the data):

1. Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.
2. Yang, F., & Cheng, J. (2020). A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 248, 111972.

If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).