Yann Planton|Éric Guilyardi|Andrew T. Wittenberg|Jiwoo Lee|P. J. Gleckler|Tobias Bayr|Shayne McGregor|Michael J. McPhaden|Scott B. Power|Romain Roehrig|Jérôme Vialard|Aurore Voldoire
Evaluating Climate Models with the CLIVAR 2020 ENSO Metrics Package
NOAA Geophysical Fluid Dynamics Laboratory|Lawrence Livermore National Laboratory|Lawrence Livermore National Laboratory|GEOMAR Helmholtz Centre for Ocean Research Kiel|NOAA Pacific Marine Environmental Laboratory|Centre National de Recherches Météorologiques|Centre National de Recherches Météorologiques
abstract el niosouthern oscillation enso dominant mode interannual climate variability planet farreaching global impacts therefore key evaluate enso simulations stateoftheart numerical models used study past present future climate recently pacific region panel international climate ocean variability predictability change clivar project part world climate research programme wcrp led communitywide effort evaluate simulation enso variability teleconnections processes climate models new clivar 2020 enso metrics package enables model diagnosis comparison evaluation 1 highlight aspects need improvement 2 monitor progress across model generations 3 help selecting models well suited particular analyses 4 reveal links various model biases illuminating impacts biases enso sensitivity climate change 5 advance enso literacy interfacing existing model evaluation tools enso metrics package enables rapid analysis multipetabyte databases simulations generated coupled model intercomparison project phases 5 cmip5 6 cmip6 cmip6 models found significantly outperform cmip5 8 24 ensorelevant metrics cmip6 models showing improved tropical pacific seasonality enso teleconnections one enso metric significantly degraded cmip6 namely coupling ocean surface subsurface temperature anomalies majority metrics remain unchanged