Using Energy Driven Models to Predict Tropical Rainfall
Recent modeling study supported by CVP uses an energy flux focus to better understand remote influences on tropical precipitation predictions through 2100.
Advancing scientific understanding of climate, improving society’s ability to plan and respond
Advancing scientific understanding of climate, improving society’s ability to plan and respond
Recent modeling study supported by CVP uses an energy flux focus to better understand remote influences on tropical precipitation predictions through 2100.
A recent study funded by CVP identifies a salinity build up in the South Atlantic and provides modeling and observational evidence to link this trend with a weakening of the AMOC since the 1908’s.
A new CVP-funded modeling study shows that North Atlantic cooling is largely explained by atmospheric processes, rather than a slowdown in ocean circulation.
New data analysis of palaeoceanographic proxies leave scientists with more questions about changes in AMOC.
New study expands the understanding of contemporary decadal variability in the AMOC.
This new study aims to advance decadal prediction models by exploring regionally-dependent coupled sea-surface dynamics at work in the Atlantic and Pacific in initialized prediction ensembles.
Research funded by CPO’s Climate Variability and Predictability (CVP) and published in the Journal of Climate found that increased carbon dioxide suppresses variability of the Atlantic Meridional Overturning Circulation (AMOC) in GFDL ESM2M simulation.
A recently published and thorough review of the current state of scientific knowledge regarding the Atlantic Meridional Overturning Circulation (AMOC) has been published in Reviews of Geophysics.This effort was supported by CPO’s Climate Variability and Predictability (CVP) and Modeling, Analysis, Prediction, and Projections (MAPP) programs.
“There is little doubt that we will see a decline in Arctic sea ice cover in this century in response to anthropogenic warming, and yet internal climate variations and other external forcings could generate considerable spread in Arctic sea ice trends on decadal timescales,” begins a newly released article by Yeager et al., in Geophysical Research Letters.
CORE-II is the Coordinated Ocean-ice Reference Experiments are a CLIVAR model intercomparison effort that examines a group of global ocean-sea ice models under a common atmospheric state to facilitate improved understanding and modeling of the ocean.