Source Themes

Assessing External and Internal Sources of Atlantic Multidecadal Variability Using Models, Proxy Data, and Early Instrumental Indices
Atlantic multidecadal variability (AMV) of sea surface temperature exhibits an important influence on the climate of surrounding …
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An interdecadal shift of the extratropical ENSO teleconnection during boreal summer
The extratropical teleconnection from the tropical Pacific in boreal summer exhibits a significant shift over the past 70 years. …
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Climate model uncertainty and trend detection of regional sea level projections in the open ocean and coastal zone
Projections of future sterodynamic sea level change from global climate models are associated with different sources of uncertainty. …
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Towards Comprehensive Observing and Modeling Systems for Monitoring and Predicting Regional to Coastal Sea Level
A major challenge for managing impacts and implementing effective mitigation measures and adaptation strategies for coastal zones …
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Investigating the predictability of North Atlantic sea surface heighty
Interannual sea surface height (SSH) forecasts are subject to several sources of uncertainty. Methods relying on statistical forecasts …
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ENSO Bimodality and Extremes
Tropical sea surface temperature (SST) and winds vary on a wide range of timescales and have a substantial impact on weather and …
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Remote and local influences in forecasting Pacific SST: a linear inverse model and a multimodel ensemble study
A suite of statistical linear inverse models (LIMs) are used to understand the remote and local SST variability that influences SST …
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Global reconstruction of historical ocean heat storage and transport
Most of the excess energy stored in the climate system due to anthropogenic greenhouse gas emissions has been taken up by the oceans, …
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Applications of Deep Learning to Ocean Data Inference and Subgrid Parameterization
Geostrophic eddies contribute to the mixing of heat, carbon, and other climatically important tracers. A passive tracer driven by …
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Applications of Deep Learning to Ocean Data Inference and Subgrid Parameterization
Oceanographic observations are limited by sampling rates, while ocean models are limited by finite resolution and high viscosity and …
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