Geophysical Research Letters · 2018 · 23 citations · 22 references
EngineeringHindcast SkillMpi‐esm Hindcast EnsemblePacific Decadal OscillationClimate ModelingWeather ForecastingEarth System ScienceEarth ScienceClimate PhysicsGeophysicsNumerical Weather PredictionClimate ProjectionClimate ForecastingClimate ChangeClimate VariabilityClimate SciencesMeteorologyGeographySimilar Hindcast SkillForecastingClimate SystemEarth's ClimateClimate DynamicsClimatologyMultiyear TrendsGlobal Climate
Abstract While hindcast skill for the Pacific Decadal Oscillation (PDO) has so far been limited to a few years, we present hindcast skill for PDO trends up to 10 years ahead. Our analysis is based on an initialized hindcast ensemble with the global Max Planck Institute Earth System Model (MPI‐ESM). As in previous studies, we find hindcast skill limited to a few years, when we first construct a lead‐year time series, from which we second calculate the PDO. We find similar hindcast skill when we first calculate the PDO for each start year and second construct a lead‐year time series. However, we find hindcast skill considerably increased, when we first calculate the PDO for each start year, second estimate multiyear trends, and third construct a lead‐year time series. Our results suggest hindcast skill for the low‐frequency variability of the PDO, which holds important implications for predictability analyses of other modes of long‐term climate variability.
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S. Uppala, P. Kållberg, A. J. Simmons et al. · Quarterly Journal of the Royal Meteorological Society · 2005 · 7.1K citations · Full text
M. A. Giorgetta, Johann Jungclaus, Christian H. Reick et al. · Journal of Advances in Modeling Earth Systems · 2013 · 1.7K citations · Full text