In a recent study published in Science Advances, a team of scientists at AOML led by Denis Volkov used observations and idealized model simulations to explore what caused the abrupt reduction and ensuing recovery of the South Indian Ocean heat and sea level in 2014-2018.
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.
Despite their differences, it is still widely thought that Atlantic Niño is analogous to El Niño in many ways. Specifically, the atmosphere-ocean feedback responsible for the onset of Atlantic Niño is believed to be similar to that of El Niño, a process known as Bjerknes feedback. The near-surface trade winds blow steadily from east to west along the equator. When weaker-than-normal trade winds develop in the western Atlantic basin, downwelling equatorial Kelvin waves propagate to the eastern basin, deepening the thermocline and making it harder for the colder, deeper water to affect the surface.
In a recent study published in the journal Science Advances, oceanographers at AOML and the Cooperative Institute for Marine and Atmospheric Studies for the first time describe the daily variability of the circulation of key deep currents in the South Atlantic Ocean that are linked to climate and weather. The study found that the circulation patterns in the upper and deeper layers of the South Atlantic often vary independently of each other, an important new result about the broader Meridional Overturning Circulation (MOC) in the Atlantic.
AOML scientists partnered with the U.S. Air Force 53rd Reconnaissance Squadron “Hurricane Hunters” to deploy eight drifting buoys in advance of Tropical Storm Isaias on August 3, 2020 off the Carolina coast, in collaboration with the National Weather Service (NWS), National Hurricane Center (NHC), and Scripps Institution of Oceanography.
NOAA’s hurricane gliders are heading to sea this week off the coasts of Puerto Rico, the Gulf of Mexico and the eastern U.S. to collect data that scientists will use to improve the accuracy of hurricane forecast models.
NOAA’s Global Ocean Monitoring and Observation Division and Global Drifter Program recently extended a helping hand to support deployment of commercial Spotter drifters, supported by the U.S. Navy’s Office of Naval Research. These specialized drifters are designed to measure waves, in addition to winds and sea surface temperature, providing valuable data to scientists to be used in hurricane forecast models.
Coastal communities surrounding the northern Caribbean Sea have experienced an abundance of brown algae, known as pelagic Sargassum, washing up along their beaches since 2011. In a recent study conducted by AOML scientists, it was found that Sargassum beaching predictions can be improved by accounting for windage in models.
In a recent article published in Geophysical Research Letters, AOML and CIMAS scientists investigated U.S. rainfall variability, focusing on the late summer to mid-fall (August-October) season. The main goal of the study was to identify potential predictors of U.S. precipitation during August-October and to explore the underlying physical mechanisms.
Recently, scientists at NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML) and the Cooperative Institute for Marine and Atmospheric Studies (CIMAS) explored the physical causes between U.S. tornado activity and the Madden-Julian Oscillation. In a study recently published in the Journal of Climate (Kim et al., 2020), they showed that a series of key atmosphere-ocean processes are involved in the remote impact of Madden-Julian Oscillation on U.S. tornado activity.
