The Confounding Case of the Climate Crisis by Owen R Liu

Emerging techniques in machine learning and improved assimilation capabilities - e.g. the Cyclone Global Navigation Satellite System, CYGNSS) are providing improved estimates of surface winds and associated turbulent fluxes in all-weather conditions. Observations made at L-band frequencies from passive microwave radiometers and bistatic scatterometry (e.g. Precipitation radars, such as the Global Precipitation Measurement (GPM) mission dual-frequency precipitation radar (DPR) for example, can provide information on ocean surface freshwater fluxes, latent heat transfers from melting snow, and radiative warming from large ice crystals.

Recent innovations in hardware technologies and retrieval techniques have resulted in new spaceborne platforms and data products that provide more information under heavy clouds and precipitation. Storms are a regular event over the ocean surface, so our restricted observing capability under weather events leads to a poorer understanding of ocean surface properties. George Duffy, Crespo, Roberts, Posselt, and precipitation obscure many conventional satellite observations that are used to study ocean surface processes. Keywords: Climate variability Air/sea interactions Decadal ocean variability AI02 Under the Weather: Using Active and Passive Microwave Observations to Study Atmosphere-Ocean Interactions Studies that involve atmospheric and oceanic observations, numerical/statistical modeling, artificial intelligence techniques, and climate theories are welcomed.Ĭross listed Tracks: Air-Sea Interactions Climate and Ocean Change Physical Oceanography: Mesoscale and Larger This session invites abstract submissions that address the mechanisms, impacts and predictability of climate variability in the Atlantic Ocean. Therefore, there is a pressing need to synthesize the results across observational, modeling, and theoretical approaches. In recent years, significant progress has been made in advancing our knowledge and understanding of Atlantic climate variability and in predicting future climate change in this region. This active coupling between ocean and atmosphere is largely responsible for modes of climate variability like the North Atlantic Oscillation (NAO), the East Atlantic Pattern (EAP), the Atlantic Multidecadal Variability (AMV), and the South Atlantic subtropical dipole (SASD) that span a wide temporal and spatial spectrum. Laifang Li, Foukal, Li, Drouin, Atlantic Ocean exchanges heat and carbon with the overlying atmosphere. Air-Sea Interactions AI01 Air-Sea Interaction and Climate Variability in the Atlantic Ocean: Observations, Modeling, and Theories

The Confounding Case of the Climate Crisis by Owen R Liu