Results 191 to 200 of about 30,636 (215)

Evapotranspiration Changes Driven by Soil Moisture are Misrepresented in Climate Models

open access: yes
Hsu H   +8 more
europepmc   +1 more source

Impacts of Antarctic heatwaves amplified by climate change through water vapor and cloud feedbacks

open access: yes
González-Herrero S   +7 more
europepmc   +1 more source

MJO Diversity in CMIP6 Models

Journal of Climate, 2022
Abstract Recent studies have shown that individual Madden–Julian oscillation (MJO) events can be categorized into four types based on their propagation characteristics: standing, jumping, slow-propagating, and fast-propagating MJOs. While their structures and impacts are well documented in observations, their representation in state-of-the-art climate ...
Seung-Yoon Back   +2 more
openaire   +1 more source

ENSO Asymmetry in CMIP6 Models

Journal of Climate, 2022
Abstract An interesting aspect of the El Niño–Southern Oscillation (ENSO) phenomenon is the asymmetry between its two phases. This paper evaluates the simulations of this property of ENSO by the Coupled Model Intercomparison Project phase 6 (CMIP6) models. Both the surface and subsurface signals of ENSO are examined for this purpose.
Yaodi Zhao, De-Zheng Sun
openaire   +1 more source

CMIP6 Publication Closure

On February 12 2025 an annoucement was issued on the CMIP News Pages regarding upcoming changes to ESGF infrastructure. As part of the news release, the closure of CMIP6 publishing was explained with the rational to move resources towards the forthcoming CMIP7. Reference was made to the possibility to continue publishing CMIP6 data via CMIP6Plus with a
Mizielinski, Matthew   +5 more
openaire   +2 more sources

MOSAiC simulator in CMIP6

2021
<p>The recently completed Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) can serve as reference to evaluate current and future ocean state of the Arctic Ocean. With this premise, we perform a virtual MOSAiC expedition in historical and ssp370-scenario experiments in data generated by CMIP6 models.&lt ...
Rajka Juhrbandt   +3 more
openaire   +1 more source

High-resolution downscaling of CMIP6 Earth system and global climate models using deep learning for Iberia

Geoscientific Model Development
. Deep learning (DL) methods have recently garnered attention from the climate change community for being an innovative approach to downscaling climate variables from Earth system and global climate models (ESGCMs) with horizontal resolutions still too ...
P. Soares   +5 more
semanticscholar   +1 more source

Challenging CMIP6 model predictions

2020
<p>The WCRP Coupled Model Intercomparison Project (CMIP) simulations expect increasing downward longwave radiation (DLR, surface LW down) from a human-enhanced greenhouse effect during the 21<sup>st</sup> century in the range of 10 – 40 Wm<sup>-2</sup>.
openaire   +1 more source

Modeling of historical and future changes in temperature and precipitation in the Panj River Basin in Central Asia under the CMIP5 RCP and CMIP6 SSP scenarios

Scientific Reports
This study examines the complexities of climate modeling, specifically in the Panj River Basin (PRB) in Central Asia, to evaluate the transition from CMIP5 to CMIP6 models.
A. Gulakhmadov   +7 more
semanticscholar   +1 more source

The computational and energy cost of simulation and storage for climate science: lessons from CMIP6

Geoscientific Model Development
. The Coupled Model Intercomparison Project (CMIP) is one of the biggest international efforts aimed at better understanding the past, present, and future of climate changes in a multi-model context.
Mario C. Acosta   +21 more
semanticscholar   +1 more source

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