Yuejian Zhu

TL;DR: The NCEP/NCAR 40-yr reanalysis uses a frozen state-of-the-art global data assimilation system and a database as complete as possible, except that the horizontal resolution is T62 (about 210 km) as discussed by the authors.

TL;DR: In this article, the authors compared the performance of three ensemble prediction systems, namely, the European Centre for Medium-Range Weather Forecasts (ECMWF), the Meteorological Service of Canada (MSC), and the National Centers for Environmental Prediction (NCEP), for a 3-month period between May and July 2002.

TL;DR: A multidecadal ensemble reforecast dataset is available that is approximately consistent with the operational 0000 UTC cycle of the 2012 NOAA Global Ensemble Forecast System (GEFS).

TL;DR: In this article, an ensemble prediction/forecast system (EPS or EFS) is proposed based on the initial perturbations that are generated by the Ensemble Transform (ET) and ET with rescaling (ETR) methods.

TL;DR: For many, and for beyond 4-day lead time for all users, the ensemble provides greater potential economic benefit than a control forecast, even if the latter is run at higher horizontal resolution.