Tag: Renellys Perez

Deep Ocean Warming Continues into the Vema Channel

In a recent study published in American Geophysical Union (AGU), scientists at NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML) contributed to an international study that confirmed warming trends and the possibility of increased rates of warming in one of the deepest channels of the Southwest Atlantic ocean, the Vema Channel.

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AOML Scientists Develop First-ever Daily Estimates of the Heat Transport in the South Atlantic Ocean

In a recent article published in the Journal of Geophysical Research – Oceans, scientists at AOML evaluate the variability of the heat transport in the South Atlantic by developing a new method to measure its changes on a daily basis. This study presents, for the first time, full‐depth, daily measurements of the volume and heat transported by the Meridional Overturning Circulation (MOC) in the South Atlantic at 34.5°S based on direct observations.

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AOML and GFDL Scientists Initiate a Grassroots Effort to Strengthen Collaboration

In the Fall of 2019, Atlantic Oceanographic and Meteorological Laboratory (AOML) oceanographer Renellys Perez contacted Geophysical Fluid Dynamics Laboratory (GFDL) and Princeton University oceanographer Sonya Legg to brainstorm how the two labs could increase collaboration. Due to a previous working relationship established with Legg at MPOWIR, a mentoring group created to improve the retention of women in physical oceanography and US CLIVAR, Perez was able to propose a collaborative workshop.

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Testing the Trade Wind Charging Mechanism and Its Influence on ENSO Variability

In a new article published in the Journal of Climate, scientists at AOML and the Cooperative Institute for Marine and Atmospheric Science, with collaborators at Boston University, Texas A&M, and North Carolina State University, document the role of ocean dynamics in linking Pacific atmospheric variability to El Niño-Southern Oscillation (ENSO) event generation. The results of the study could be used as a potential predictor of ENSO events up to a year in advance.

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