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Climate Variability & Predictability (CVP)

Understanding Local & Remote Forcing of Interannual Variability of Equatorial Eastern Indian Ocean Upwelling

A recently published article in the Journal of Physical Oceanography written by Chen et al., and supported by CPO’s Climate Variability and Predictability (CVP) program, explores remote and local forcing that drives the interannual variability of EIO upwelling by analyzing observations and performing experiments in the HYCOM ocean model.

Understanding Local & Remote Forcing of Interannual Variability of Equatorial Eastern Indian Ocean Upwelling Read More »

Causes for Intraseasonal Sea Surface Salinity Variability in the Western Tropical Pacific Ocean and Its Seasonality

A new CVP-supported paper published in the Journal of Geophysical Research explores variability in ocean salinity and how that variability is connected to air-sea interactions, large-scale ocean circulations, and climate phenomena such as the MJO and ENSO.

Causes for Intraseasonal Sea Surface Salinity Variability in the Western Tropical Pacific Ocean and Its Seasonality Read More »

Sea ice loss predicted to slow in the Atlantic, says new CVP-funded research

“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.

Sea ice loss predicted to slow in the Atlantic, says new CVP-funded research 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 »

Objective Diagnostics and the Madden–Julian Oscillation: Application to Moist Static Energy and Moisture Budgets.

Process understanding of the Madden-Julian Oscillation (MJO) has increased dramatically over the past decade, but many observed features of the MJO are not well explained by physical mechanisms believed to underlie the phenomenon. New CVP-supported research published in the Journal of Climate examines Moist Static Energy (MSE) and moisture budgets to understand MJO moisture variations.

Objective Diagnostics and the Madden–Julian Oscillation: Application to Moist Static Energy and Moisture Budgets. Read More »

Climate models bias the rains down in Africa, but there’s something that 100 model runs or more could do

If Toto had been a group of climate modelers instead of a band, the song “Africa” might have informed listeners that East Africa has two rainy seasons–long rains from March to May and short rains from October to December.

Climate models bias the rains down in Africa, but there’s something that 100 model runs or more could do Read More »

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