A Multimodel Real-Time System for Global Probabilistic Subseasonal Forecasts of Precipitation and Temperature

A global multimodel probabilistic subseasonal forecast system for precipitation and near-surface tempera-ture is developed based on three NOAA ensemble prediction systems that make their forecasts available publicly in real time as part of the Subseasonal Experiment (SubX). The weekly and biweekly ensemble means of precipitation and tem-perature of each model are individually calibrated at each grid point using extended logistic regression, prior to forming equal-weighted multimodel ensemble (MME) probabilistic forecasts. Reforecast skill of week-3-4 precipitation and tem-perature is assessed in terms of the cross-validated ranked probability skill score (RPSS) and reliability diagram. The multi -model reforecasts are shown to be well calibrated for both variables. Precipitation is moderately skillful over many tropical land regions, including Latin America, sub-Saharan Africa and Southeast Asia, and over subtropical South America, Africa, and Australia. Near-surface temperature skill is considerably higher than for precipitation and extends into the ex-tratropics as well. The multimodel RPSS skill of both precipitation and temperature is shown to exceed that of any of the constituent models over Indonesia, South Asia, South America, and East Africa in all seasons. An example real-time week-3-4 global forecast for 13-26 November 2021 is illustrated and shown to bear the hallmarks of the combined influen-ces of a moderate Madden-Julian oscillation event as well as weak-moderate ongoing La Nina event.