The emergence and transient nature of Arctic amplification in coupled climate models
MM Holland, L Landrum - Frontiers in Earth Science, 2021 - frontiersin.org
Under rising atmospheric greenhouse gas concentrations, the Arctic exhibits amplified
warming relative to the globe. This Arctic amplification is a defining feature of global …
warming relative to the globe. This Arctic amplification is a defining feature of global …
Using Detection And Attribution To Quantify How Climate Change Is Affecting Health: Study explores detection and attribution to examine how climate change is …
The question of whether, how, and to what extent climate change is affecting health is
central to many climate and health studies. We describe a set of formal methods, termed …
central to many climate and health studies. We describe a set of formal methods, termed …
Quantifying uncertainty in aggregated climate change risk assessments
High-level assessments of climate change impacts aggregate multiple perils into a common
framework. This requires incorporating multiple dimensions of uncertainty. Here we propose …
framework. This requires incorporating multiple dimensions of uncertainty. Here we propose …
Detecting climate signals cascading through levels of biological organization
Threats to species under climate change can be understood as a time at which the signal of
climate change in ecological processes emerges from the noise of ecosystem variability …
climate change in ecological processes emerges from the noise of ecosystem variability …
The physical climate at global warming thresholds as seen in the UK Earth System Model
R Swaminathan, RJ Parker, CG Jones… - Journal of …, 2022 - journals.ametsoc.org
A key goal of the 2015 Paris Climate Agreement is to keep global mean temperature change
at 2° C and if possible under 1.5° C by the end of the century. To investigate the likelihood of …
at 2° C and if possible under 1.5° C by the end of the century. To investigate the likelihood of …
Predicting slowdowns in decadal climate warming trends with explainable neural networks
The global mean surface temperature (GMST) record exhibits both interannual to
multidecadal variability and a long‐term warming trend due to external climate forcing. To …
multidecadal variability and a long‐term warming trend due to external climate forcing. To …
Reducing uncertainty in local temperature projections
S Qasmi, A Ribes - Science Advances, 2022 - science.org
Planning for adaptation to climate change requires accurate climate projections. Recent
studies have shown that the uncertainty in global mean surface temperature projections can …
studies have shown that the uncertainty in global mean surface temperature projections can …
Projecting future energy production from operating wind farms in North America. Part I: Dynamical downscaling
New simulations at 12-km grid spacing with the Weather and Research Forecasting (WRF)
Model nested in the MPI Earth System Model (ESM) are used to quantify possible changes …
Model nested in the MPI Earth System Model (ESM) are used to quantify possible changes …
[HTML][HTML] A dynamical adjustment perspective on extreme event attribution
L Terray - Weather and Climate Dynamics, 2021 - wcd.copernicus.org
Here we demonstrate that dynamical adjustment allows a straightforward approach to
extreme event attribution within a conditional framework. We illustrate the potential of the …
extreme event attribution within a conditional framework. We illustrate the potential of the …
Rapidly evolving aerosol emissions are a dangerous omission from near-term climate risk assessments
Anthropogenic aerosol emissions are expected to change rapidly over the coming decades,
driving strong, spatially complex trends in temperature, hydroclimate, and extreme events …
driving strong, spatially complex trends in temperature, hydroclimate, and extreme events …