Schaake, J., Demargne J, Hartman R, et al., 2007: Precipitation and temperature ensemble forecasts from single-value forecasts. Hydrol. Earth Syst. Sci. Discuss., 4, 655-717. Ye, A., X. Deng, F. Ma, Q. Duan, et al., 2017: Integrating weather and climate predictions for seamless hydrologic ensemble forecasting: A case study in the Yalong River basin. J. Hydrol. , 547, 196–207.
Firstly apply normal quantile transform (NQT), then fit joint probability model to the forecast and observations. Given new forecasts, the conditional distribution of observations can be obtained in forms of ensemble forecasts.The method can be applied to remove the bias and dispersion errors in raw weather forecasts.
Execution: after compiling;
Contact SupportNorthwest Institute of Eco-Environment and Resources, CAS 0931-4967287 firstname.lastname@example.org
LinksNational Tibetan Plateau Data Center