@Article{HaarsmaRVSBBCCFGVHKKLLLMMMNSSSSV:2016:HiReMo,
author = "Haarsma, Reindert J. and Roberts, Malcolm J. and Vidale, Pier
Luigi and Senior, Catherine A. and Bellucci, Alessio and Bao, Qing
and Chang, Ping and Corti, Susanna and Fuckar, Neven S. and
Guemas, Virginie and Von Hardenberg, Jost and Hazeleger, Wilco and
Kodama, Chihiro and Koenigk, Torben and Leung, L. Ruby and Lu,
Jian and Luo, Jing-Jia and Mao, Jiafu and Mizielinski, Matthew S.
and Mizuta, Ryo and Nobre, Paulo and Satoh, Masaki and
Scoccimarro, Enrico and Semmler, Tido and Small, Justin and Von
Storch, Jin-Song",
affiliation = "{Royal Netherlands Meteorological Institute} and {Met Office
Hadley Centre} and {University of Reading} and {Met Office Hadley
Centre} and {Centro Euro-Mediterraneo per i Cambiamenti Climatici}
and {Chinese Academy of Sciences} and {Texas A\&M University} and
{National Research Council} and {Barcelona Supercomputing Center}
and {Barcelona Supercomputing Center} and {National Research
Council} and {Royal Netherlands Meteorological Institute} and
{Japan Agency for Marine-Earth Science and Technology} and
{Swedish Meteorological and Hydrological Institute} and {Pacific
Northwest National Laboratory} and {Pacific Northwest National
Laboratory} and {Bureau of Meteorology} and {Oak Ridge National
Laboratory} and {Met Office Hadley Centre} and {Meteorological
Research Institute} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {The University of Tokyo} and {Centro
Euro-Mediterraneo per i Cambiamenti Climatici} and {Helmholtz
Centre for Polar and Marine Research} and {National Center for
Atmospheric Researc} and {Istituto Nazionale di Geofisica e
Vulcanologia}",
title = "High resolution model intercomparison project (HighResMIP v1.0)
for CMIP6",
journal = "Geoscientific Model Development",
year = "2016",
volume = "9",
number = "11",
pages = "4185--4208",
abstract = "Robust projections and predictions of climate variability and
change, particularly at regional scales, rely on the driving
processes being represented with fidelity in model simulations.
The role of enhanced horizontal resolution in improved process
representation in all components of the climate system is of
growing interest, particularly as some recent simulations suggest
both the possibility of significant changes in large-scale aspects
of circulation as well as improvements in small-scale processes
and extremes. However, such high-resolution global simulations at
climate timescales, with resolutions of at least 50 km in the
atmosphere and 0.25\◦ in the ocean, have been performed at
relatively few research centres and generally without overall
coordination, primarily due to their computational cost. Assessing
the robustness of the response of simulated climate to model
resolution requires a large multi-model ensemble using a
coordinated set of experiments. The Coupled Model Intercomparison
Project 6 (CMIP6) is the ideal framework within which to conduct
such a study, due to the strong link to models being developed for
the CMIP DECK experiments and other model intercomparison projects
(MIPs). Increases in high-performance computing (HPC) resources,
as well as the revised experimental design for CMIP6, now enable a
detailed investigation of the impact of increased resolution up to
synoptic weather scales on the simulated mean climate and its
variability. The High Resolution Model Intercomparison Project
(HighResMIP) presented in this paper applies, for the first time,
a multi-model approach to the systematic investigation of the
impact of horizontal resolution. A coordinated set of experiments
has been designed to assess both a standard and an enhanced
horizontal-resolution simulation in the atmosphere and ocean. The
set of HighResMIP experiments is divided into three tiers
consisting of atmosphere-only and coupled runs and spanning the
period 19502050, with the possibility of extending to 2100,
together with some additional targeted experiments. This paper
describes the experimental set-up of HighResMIP, the analysis
plan, the connection with the other CMIP6 endorsed MIPs, as well
as the DECK and CMIP6 historical simulations. HighResMIP thereby
focuses on one of the CMIP6 broad questions, what are the origins
and consequences of systematic model biases?, but we also discuss
how it addresses the World Climate Research Program (WCRP) grand
challenges.",
doi = "10.5194/gmd-9-4185-2016",
url = "http://dx.doi.org/10.5194/gmd-9-4185-2016",
issn = "1991-959X",
label = "lattes: 6041333024387123 21
HaarsmaRVSBBCCFGVHKKLLLMMMNSSSSV:2016:HiReMo",
language = "en",
targetfile = "haarsma_high.pdf",
urlaccessdate = "12 maio 2024"
}