Langmuir and mesoscale and submesoscale and bears, oh my! Assessing process impacts on climate

Baylor Fox-Kemper1, Steven C Clemens2, Leah Johnson3, Qing Li4, Arin Nelson5, Patrick Orenstein3 and Brodie Pearson6, (1)Brown University, Earth, Environmental and Planetary Sciences, Providence, RI, United States, (2)Brown University, Earth, Environmental, and Planetary Sciences, Providence, RI, United States, (3)Brown University, Providence, RI, United States, (4)Los Alamos National Laboratory, Los Alamos, NM, United States, (5)University of Colorado at Boulder, Atmospheric and Ocean Sciences, Boulder, CO, United States, (6)Brown University, Geological Sciences, Providence, RI, United States
Under anthropogenic change, the ocean is the reservoir of anomalous energy and much of the anomalous carbon. Over days, seasons, and decades these anomalies make their way into the ocean aided along the way by a variety of processes.

In models, the smaller of these processes are parameterized. The response of models to forcing is a result of the parameterizations together with the resolved and numerical aspects.

This presentation will present some techniques for quantifying the effects of processes through parameterizations--which affect the mean, the low-frequency response, the high-frequency response, and the prediction skill of models. Examples illustrating the role of Langmuir, submesoscale, and mesoscale parameterizations, as well as what goes wrong when forcing is altered so that relevant processes cannot keep up, will be presented.