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Presentation and Evaluation of the IPSL‐CM6A‐LR Climate Model
Journal of Advances in Modeling Earth Systems, 2020 This study presents the global climate model IPSL‐CM6A‐LR developed at Institut Pierre‐Simon Laplace (IPSL) to study natural climate variability and climate response to natural and anthropogenic forcings as part of the sixth phase of the Coupled Model ...
Fabienne Maignan +2 more
exaly +2 more sources
Global exposure to flooding from the new CMIP6 climate model projections. [PDF]
Sci Rep, 2021 Estimates of future flood risk rely on projections from climate models. The relatively few climate models used to analyze future flood risk cannot easily quantify of their associated uncertainties.
Hirabayashi Y +4 more
europepmc +2 more sources
Causal networks for climate model evaluation and constrained projections. [PDF]
Nat Commun, 2020 Global climate models are central tools for understanding past and future climate change. The assessment of model skill, in turn, can benefit from modern data science approaches. Here we apply causal discovery algorithms to sea level pressure data from a
Nowack P, Runge J, Eyring V, Haigh JD.
europepmc +2 more sources
Absence of internal multidecadal and interdecadal oscillations in climate model simulations. [PDF]
Nat Commun, 2020 For several decades the existence of interdecadal and multidecadal internal climate oscillations has been asserted by numerous studies based on analyses of historical observations, paleoclimatic data and climate model simulations.
Mann ME, Steinman BA, Miller SK.
europepmc +2 more sources
Evolution of Tropical Cyclone Properties Across the Development Cycle of the GISS‐E3 Global Climate Model [PDF]
Journal of Advances in Modeling Earth Systems, 2022 The next‐generation global climate model from the NASA Goddard Institute for Space Studies, GISS‐E3, contains many improvements to resolution and physics that allow for improved representation of tropical cyclones (TCs) in the model.
Rick D. Russotto +8 more
doaj +2 more sources
Importance of internal variability for climate model assessment
npj Climate and Atmospheric Science, 2023 Benchmarking climate model simulations against observations of the climate is core to the process of building realistic climate models and developing accurate future projections.
Shipra Jain +7 more
semanticscholar +1 more source
Robust Evaluation of ENSO in Climate Models: How Many Ensemble Members Are Needed?
Geophysical Research Letters, 2021 Large ensembles of model simulations require considerable resources, and thus defining an appropriate ensemble size for a particular application is an important experimental design criterion.
Jiwoo Lee +7 more
doaj +1 more source
Annual Review of Environment and Resources, 2008 Climate models simulate the atmosphere, given atmospheric composition and energy from the sun, and include explicit modeling of, and exchanges with, the underlying oceans, sea ice, and land. The models are based on physical principles governing momentum, thermodynamics, cloud microphysics, radiative transfer, and turbulence.
Leo J. Donner, William G. Large
openaire +1 more source
Sensors, 2023 Clouds cover substantial parts of the Earth’s surface and they are one of the most essential components of the global climate system impacting the Earth’s radiation balance as well as the water cycle redistributing water around the globe as precipitation.
Mario Montopoli +8 more
doaj +1 more source
npj Climate and Atmospheric Science, 2023 Snow cover over the Tibetan Plateau (TP)–the Third Pole of the earth has been recognized as a reliable signal of summer floods or droughts in East Asia (EA).
Kai Yang, Qi Qi, Chenghai Wang
doaj +1 more source