Notice of RetractionAtmospheric correction and land surface temperature retrieval method for FY-3 IR observations

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

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Land surface temperature (LST) is a key variable for studies of global or regional land surface processes, energy and water cycle, and thus, has important applications in various areas. However, LST retrieval is a difficult subject and a challenge issue due to complex interactions between land surface and atmosphere. In this study, atmospheric correction and LST retrieval methods are briefly reviewed first. Then, based on the NASA ASTER-WVS (Water Vapor Scaling) method, a new atmospheric correction and LST retrieval method for the FY-3 VIRR with only two thermal IR (TIR) window channels is developed, referred to as FY-3 -WVS method. Some tests, including using MODIS data, numerical simulation for FY-3 sensor, the synchronous measurements for the radiative calibration of the FY-1D and FY-3 radiometers in Qinghai Lake, respectively, for the FY-3 -WVS algorithm have been carried out. All the results show that although the performance of FY-3 VIRR less well than other similar existing sensors, the RMSE in temperature is less than 1.0K.