The Mediterranean climate change hotspot in the CMIP5 and CMIP6 projections

J Cos, F Doblas-Reyes, M Jury, R Marcos… - Earth System …, 2022 - esd.copernicus.org
The enhanced warming trend and precipitation decline in the Mediterranean region make it
a climate change hotspot. We compare projections of multiple Coupled Model …

Prognostic validation of a neural network unified physics parameterization

ND Brenowitz, CS Bretherton - Geophysical Research Letters, 2018 - Wiley Online Library
Weather and climate models approximate diabatic and sub‐grid‐scale processes in terms of
grid‐scale variables using parameterizations. Current parameterizations are designed by …

Spatially extended tests of a neural network parametrization trained by coarse‐graining

ND Brenowitz, CS Bretherton - Journal of Advances in …, 2019 - Wiley Online Library
General circulation models (GCMs) typically have a grid size of 25–200 km.
Parametrizations are used to represent diabatic processes such as radiative transfer and …

[HTML][HTML] ESD reviews: Model dependence in multi-model climate ensembles: Weighting, sub-selection and out-of-sample testing

G Abramowitz, N Herger, E Gutmann… - Earth System …, 2019 - esd.copernicus.org
The rationale for using multi-model ensembles in climate change projections and impacts
research is often based on the expectation that different models constitute independent …

Multi-objective observational constraint of tropical Atlantic and Pacific low-cloud variability narrows uncertainty in cloud feedback

M Wu, H Su, JD Neelin - Nature Communications, 2025 - nature.com
Tropical marine low cloud feedback is key to the uncertainty in climate sensitivity, and it
depends on the warming pattern of sea surface temperatures (SSTs). Here, we empirically …

Bayesian model averaging of climate model projections constrained by precipitation observations over the contiguous United States

EC Massoud, H Lee, PB Gibson… - Journal of …, 2020 - journals.ametsoc.org
This study utilizes Bayesian model averaging (BMA) as a framework to constrain the spread
of uncertainty in climate projections of precipitation over the contiguous United States …

Uncertainty in El Niño-like warming and California precipitation changes linked by the Interdecadal Pacific Oscillation

L Dong, LR Leung, F Song, J Lu - Nature Communications, 2021 - nature.com
Marked uncertainty in California (CA) precipitation projections challenges their use in
adaptation planning in the region already experiencing severe water stress. Under global …

Toward machine-assisted tuning avoiding the underestimation of uncertainty in climate change projections

F Hourdin, B Ferster, J Deshayes, J Mignot, I Musat… - Science …, 2023 - science.org
Documenting the uncertainty of climate change projections is a fundamental objective of the
inter-comparison exercises organized to feed into the Intergovernmental Panel on Climate …

Wetter California projected by CMIP6 models with observational constraints under a high GHG emission scenario

F Li, Q Zhu, WJ Riley, K Yuan, H Wu, Z Gui - Earth's Future, 2022 - Wiley Online Library
As the world's fifth‐largest economy entity, California (CA) is vulnerable to climate changes
especially the magnitude of winter (wet season) precipitation that is closely linked to …

Multi-model ensemble projection of precipitation changes over China under global warming of 1.5 and 2 C with consideration of model performance and …

T Li, Z Jiang, L Zhao, L Li - Journal of Meteorological Research, 2021 - Springer
A weighting scheme jointly considering model performance and independence (PI-based
weighting scheme) is employed to deal with multi-model ensemble prediction of …