@article{fdi:010081458,
  title = {{E}valuating climate models with the {CLIVAR} 2020 {ENSO} metrics package},
  author = {{P}lanton, {Y}. {Y}. and {G}uilyardi, {E}. and {W}ittenberg, {A}. {T}. and {L}ee, {J}. and {G}leckler, {P}. {J}. and {B}ayr, {T}. and {M}c{G}regor, {S}. and {M}c{P}haden, {M}. {J}. and {P}ower, {S}. and {R}oehrig, {R}. and {V}ialard, {J}{\'e}r{\^o}me and {V}oldoire, {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{E}l {N}ino-{S}outhern {O}scillation ({ENSO}) is the dominant mode of interannual climate variability on the planet, with far-reaching global impacts. {I}t is therefore key to evaluate {ENSO} simulations in state-of-the-art numerical models used to study past, present, and future climate. {R}ecently, the {P}acific {R}egion {P}anel of the {I}nternational {C}limate and {O}cean: {V}ariability, {P}redictability and {C}hange ({CLIVAR}) {P}roject, as a part of the {W}orld {C}limate {R}esearch {P}rogramme ({WCRP}), led a community-wide effort to evaluate the simulation of {ENSO} variability, teleconnections, and processes in climate models. {T}he new {CLIVAR} 2020 {ENSO} metrics package enables model diagnosis, comparison, and evaluation to 1) highlight aspects that need improvement; 2) monitor progress across model generations; 3) help in selecting models that are well suited for particular analyses; 4) reveal links between various model biases, illuminating the impacts of those biases on {ENSO} and its sensitivity to climate change; and to 5) advance {ENSO} literacy. {B}y interfacing with existing model evaluation tools, the {ENSO} metrics package enables rapid analysis of multipetabyte databases of simulations, such as those generated by the {C}oupled {M}odel {I}ntercomparison {P}roject phases 5 ({CMIP}5) and 6 ({CMIP}6). {T}he {CMIP}6 models are found to significantly outperform those from {CMIP}5 for 8 out of 24 {ENSO}-relevant metrics, with most {CMIP}6 models showing improved tropical {P}acific seasonality and {ENSO} teleconnections. {O}nly one {ENSO} metric is significantly degraded in {CMIP}6, namely, the coupling between the ocean surface and subsurface temperature anomalies, while the majority of metrics remain unchanged.},
  keywords = {},
  booktitle = {},
  journal = {{B}ulletin of the {A}merican {M}eteorological {S}ociety},
  volume = {102},
  numero = {2},
  pages = {{E}193--{E}217},
  ISSN = {0003-0007},
  year = {2021},
  DOI = {10.1175/bams-d-19-0337.1},
  URL = {https://www.documentation.ird.fr/hor/fdi:010081458},
}