The ability of a multi-model seasonal forecasting ensemble to forecast the frequency of warm, cold and wet extremes
Dynamical models are now widely used to provide forecasts of above or below average seasonal mean temperatures and precipitation, with growing interest in their ability to forecast climate extremes on a seasonal time scale. This study assesses the skill of the ENSEMBLES multi-model ensemble to forec...
Main Authors: | Acacia S. Pepler, Leandro B. Díaz, Chloé Prodhomme, Francisco J. Doblas-Reyes, Arun Kumar |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2015-09-01
|
Series: | Weather and Climate Extremes |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2212094715300062 |
Similar Items
-
Ability of the GRAPES Ensemble Forecast Product to Forecast Extreme Temperatures over the Tibetan Plateau
by: Ruixin Wang, et al.
Published: (2023-10-01) -
Statistics of sudden stratospheric warmings using a large model ensemble
by: Sarah Ineson, et al.
Published: (2024-03-01) -
An ensemble approach for short-term load forecasting by extreme learning machine
by: Li, Song, et al.
Published: (2017) -
Forced changes in El Niño–Southern Oscillation due to global warming and the associated uncertainties in ACCESS-ESM1.5 large ensembles
by: Harun A. Rashid
Published: (2022-08-01) -
Verification of improved analog ensemble methods for forecasting extreme temperature and wind speed in Beijing
by: Cui HAO, et al.
Published: (2022-08-01)