研究目的
To introduce how the split-window (SW) approach has been applied in both the Joint Polar-orbiting Satellite System (JPSS) and the Geostationary Operational Environmental Satellite-R Series (GOES-R) missions, and how it is evaluated.
研究成果
The study demonstrates the successful application of the split-window technique for LST retrieval in JPSS and GOES-R missions, with validation showing reasonable accuracy. However, challenges such as cloud contamination and surface type misclassification impact the quality of LST products. Future work includes improving emissivity products and refining algorithms for better consistency across satellite missions.
研究不足
Challenges include cloud contamination, surface type misclassification, and the mismatch between satellite pixel-size measurements and ground spot-size measurements. The accuracy of emissivity products and the representativeness of ground stations also pose limitations.
1:Experimental Design and Method Selection:
The study utilizes the split-window technique for LST retrieval, leveraging differential atmospheric absorption in two adjacent thermal infrared channels. The methodology includes algorithm derivation, simulation studies, and regression analysis.
2:Sample Selection and Data Sources:
Data from the Visible Infrared Radiometer Suite (VIIRS) onboard the JPSS series satellites and the Advanced Baseline Imager (ABI) onboard GOES-R are used. Ground measurements from SURFRAD, BSRN, and GMD networks serve as validation data.
3:List of Experimental Equipment and Materials:
Instruments include VIIRS and ABI sensors, MODTRAN for radiative transfer computations, and ground-based pyrgeometers for in situ LST measurements.
4:Experimental Procedures and Operational Workflow:
The process involves cloud detection, LST retrieval using SW algorithms, quality control, and validation against ground measurements.
5:Data Analysis Methods:
Statistical techniques are employed to assess algorithm performance, including bias, standard deviation, and root mean square error calculations.
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