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Published in 2021 at "International Journal of Climatology"
DOI: 10.1002/joc.7294
Abstract: Performance of six models in the Coupled Model Intercomparison Project phase 5 (CMIP5) and their new versions in CMIP phase 6 (CMIP6) in representing the climatological (1976–2005) precipitation extremes over China were evaluated based on…
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Keywords:
gfdl;
cmip6 models;
precipitation extremes;
precipitation ... See more keywords
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Published in 2024 at "International Journal of Climatology"
DOI: 10.1002/joc.8548
Abstract: This study assessed the capability of the historical simulations of phase 5 and 6 of the Coupled Model Intercomparison Project (CMIP5/6) in reproducing the temporal and spatial characteristics of the Interdecadal Pacific Oscillation (IPO) and…
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Keywords:
boreal summer;
cmip5;
cmip5 models;
boreal winter ... See more keywords
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Published in 2024 at "Climate Dynamics"
DOI: 10.1007/s00382-023-07072-3
Abstract: Using 31 CMIP6 models we have analyzed projected future Caribbean precipitation. The model mean projection results in a 0.5 mm/day (20%) drying under a SSP5-8.5 scenario for the end of this century over the Caribbean…
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Keywords:
cmip6;
caribbean precipitation;
precipitation;
emergent constraint ... See more keywords
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Published in 2024 at "Climate Dynamics"
DOI: 10.1007/s00382-024-07238-7
Abstract: The simulation of tropical precipitation has been a challenge to climate models. The multi-model ensemble mean of CMIP6 models only show limited improvement relative to the CMIP3 and CMIP5 models. However, a simple ensemble mean…
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Keywords:
document;
bias;
atmospheric energy;
usepackage ... See more keywords
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Published in 2024 at "Climate Dynamics"
DOI: 10.1007/s00382-024-07368-y
Abstract: In the context of global warming, both droughts and extreme precipitation events occur frequently over China. Precipitation, being a major driving factor and a crucial component of the water cycle, is highly sensitive to the…
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Keywords:
structure;
heavy precipitation;
precipitation;
precipitation china ... See more keywords
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Published in 2024 at "Climate Dynamics"
DOI: 10.1007/s00382-024-07389-7
Abstract: Monsoons are a vital part of the agriculture and economy of India which most of its population rely on for their livelihoods. It still is not clear how climate change will impact precipitation events over…
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Keywords:
monsoon precipitation;
precipitation;
performance;
future changes ... See more keywords
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Published in 2024 at "Annals of Glaciology"
DOI: 10.1017/aog.2024.25
Abstract: Abstract Evaluating CMIP6 model performance helps to improve the prediction of future changes in Arctic sea ice. We analyze the seasonal cycles, distribution, and evolution of sea ice in different regions from 1979 to 2014.…
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Keywords:
sea ice;
ice;
cmip6 models;
arctic sea ... See more keywords
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1
Published in 2020 at "Earth's Future"
DOI: 10.1029/2019ef001469
Abstract: Outputs from new state‐of‐the‐art climate models under the Coupled Model Inter‐comparison Project phase 6 (CMIP6) promise improvement and enhancement of climate change projections information for Australia. Here we focus on three key aspects of CMIP6:…
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Keywords:
australia future;
insights cmip6;
rainfall;
climate ... See more keywords
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Published in 2020 at "Geophysical Research Letters"
DOI: 10.1029/2019gl086695
Abstract: The wintertime midlatitude atmospheric circulation is evaluated in CMIP6 models. The biases have been reduced since CMIP5 although the low‐level flow is still too zonal. CMIP5 and CMIP6 projections of 850 hPa zonal wind are…
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Keywords:
cmip5 cmip6;
driven jet;
eddy driven;
cmip5 ... See more keywords
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Published in 2021 at "Geophysical Research Letters"
DOI: 10.1029/2020gl092244
Abstract: The Madden‐Julian Oscillation (MJO) is the leading mode of intraseasonal climate variability, having profound impacts on a wide range of weather and climate phenomena. Here, we use a wavelet‐based spectral Principal Component Analysis (wsPCA) to…
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Keywords:
variability cmip6;
underestimated mjo;
mjo variability;
variability ... See more keywords
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Published in 2024 at "Geophysical Research Letters"
DOI: 10.1029/2023gl107008
Abstract: Global storm‐resolving models (GSRMs) that can explicitly resolve some of deep convection are now being integrated for climate timescales. GSRMs are able to simulate more realistic precipitation distributions relative to traditional Coupled Model Intercomparison Project…
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Keywords:
storm resolving;
cmip6 models;
response;
global storm ... See more keywords