All Announcements

The latest news, research highlights, webinars, data sets, meetings, funding, career opportunities, and jobs for the climate science community.

Whitt et al. (2026) use a high-resolution, eddy-resolving ocean model together with a novel method to separate mean upwelling by its driving processes to isolate and quantify the eddy-driven contribution to mean equatorial upwelling, demonstrating that eddies play a major role in shaping where water rises towards the surface on average.

Delman et al. (2026) use an adjoint model from the observationally-constrained Estimating the Circulation and Climate of the Ocean (ECCO) state estimate to quantify surface atmospheric and hydrologic forcing to sea level, highlighting the value of observation-constrained dynamical models to asses regional sea level change, and the importance of adjoint models for attributing past variability and projecting future change.

Eddebbar et al. (2026) use observations-based and modeling products to show that future changes in tropical Pacific O₂ are sensitive to local shifts in equatorial Pacific circulation and productivity driven by coupled ocean-atmosphere interactions, as well as reduced ventilation from higher latitudes due to ocean warming.

Abstract submissions and travel requests for the Quantum Computing and Sensing for Weather and Climate Applications workshop are being accepted through May 11, 2026.

The Scientific Organizing Committee (SOC) of the 2024 US CLIVAR Workshop on Blocking and Extreme Weather in a Changing Climate has published a perspective article in Nature Communications, “Gaps and ways forward in atmospheric blocking and extreme weather research.” The article outlines key processes and challenges in understanding blocking extremes, including metrics, diabatic heating, and land-atmosphere interactions, and discusses perspectives on ways forward such as improving models, using AI/ ML techniques, and leveraging S2S datasets.

Wu and co-authors trace the origins of the eastern equatorial Pacific cold tongue bias in the NOAA Geophysical Fluid Dynamics Laboratory (GFDL) SPEAR coupled climate model (SPEAR_LO; Fig. 1d-f) using a set of mean-state correction experiments.

The latest news, research highlights, webinars, data sets, meetings, funding, career opportunities, and jobs for the climate science community.

Leveraging coupled air-sea simulations to recreate wind-driven waves under strong wind conditions, Scapin et al. (2026) demonstrate that the energy dissipated due to ocean wave breaking is determined by the energy stored in the waves, and is not directly dependent on the instantaneous wind speed.