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Earth System Science and Modeling (ESSM)

Temporal variability of the South Atlantic Meridional Overturning Circulation between 20°S and 35°S

The Meridional Overturning Circulation plays a critical role in global and regional heat and freshwater budgets by carrying water properties northward and southward within individual ocean basins. This COD-supported research, published in Geophysical Research Letters, examines altimetry-derived synthetic temperature and salinity profiles between 20°S and 34.5°S  to estimate the Meridional Overturning Circulation and meridional heat transport.

Temporal variability of the South Atlantic Meridional Overturning Circulation between 20°S and 35°S Read More »

The impact of historical biases on the XBT-derived meridional overturning circulation estimates at 34°S

CPO’s Climate Observation Division supported a paper published in Geophysical Research Letters. The goal of this manuscript–”The impact of historical biases on the XBT-derived meridional overturning circulation estimates at 34°S”–is assess how the historical expendable bathythermograph measurement errors may affect the meridional mass and heat transport across one key ocean section in the South Atlantic Ocean.

The impact of historical biases on the XBT-derived meridional overturning circulation estimates at 34°S Read More »

Sea level feedback lowers projections of future Antarctic Ice-Sheet mass loss, says CPO-funded research

Research supported by CPO’s MAPP and CVP programs evaluated the influence of the feedback mechanism between sea-level fall and ice sheets on future AIS retreat on centennial and millennial timescales for different emission scenarios, using a coupled ice sheet-sea-level model.

Sea level feedback lowers projections of future Antarctic Ice-Sheet mass loss, says CPO-funded research Read More »

Novel data science approaches could drive advances in seasonal to sub-seasonal predictions of precipitation

Predictions at the seasonal to sub-seasonal scale are important for planning and decision-making in a variety of disciplines, and improving understanding and model skill at this timescale is a key research priority. An as yet underexplored approach to sub-seasonal prediction using data science and graph theory methods that are increasingly common to other fields outside of meteorology and climate science shows potential to improve predictions at this challenging timescale.

Novel data science approaches could drive advances in seasonal to sub-seasonal predictions of precipitation Read More »

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