Abstract
Based on the rainfall data taken from the Public Meteorological Service Center, China Meteorological Administration (CMA), the calibration of the precipitation forecast has been performed by using frequency matching method (FMM) and threshold method. Then the performance of calibration is evaluated by using MAE, TS, etc. The results show that the calibration can significantly reduce the ensemble system’s false alarm of light rain and improve the QPF for a “Rain or No Rain” event. The calibrated precipitation forecasts are much closer to the observation, and the mean absolute error and area bias (dry bias or wet bias) of the ensemble system are reduced considerably.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.