Climate change is a global phenomenon, yet its fingerprints vary
substantially across regions. This talk highlights a range of these
regional patterns using observational records and climate model
simulations, analyzed with machine learning and complementary
statistical tools.
The first part of the talk examines the magnitude of climate
change across temporal and spatial scales, showing how longterm
warming reshapes seasonal and diurnal temperature cycles
in different regions.
The second part examines how quickly climate mitigation signals
can be detected against regional climate variability, highlighting
where the effects of emission reductions are likely to emerge
sooner or later across the globe.
The final part of the talk addresses the question of climate
change acceleration. Despite rapidly increasing greenhouse gas
emissions, recent studies suggest that the global mean warming
rate remains linear. We revisit this issue by shifting the focus
from global averages to regional scales, where we detect
significant acceleration in warming across a substantial fraction
of the world.
LOCATION: TRANSP:OPAQUE URL:https://www.weizmann.ac.il/EPS/events END:VEVENT END:VCALENDAR