Computational Methods for the Atmosphere and the Oceans

Part 1. Modeling <br>1.) Finite-Volume Methods in Meteorology<br>2.) Computational Kernel Algorithms for Fine-Scale, Multi-Process, Long-Time Oceanic Simulations<br><br>Part 2. Nonlinear Methods <br>3.) Bifurcation analysis of ocean, atmosphere and climate models<br>4.) Time-Periodic Flows in Geophysical and Classical Fluid Dynamics<br>5.) Discrete momentum maps for lattice EPDiff<br>6.) Numerical generation of stochastic differential equations in climate models<br><br>Part 3. Turbulence <br>7.) Large-eddy simulations for geophysical fluid dynamics<br>8.) Two examples from geophysical and astrophysical turbulence on modeling disparate scale interactions<br><br>Part 4. Data Assimilation<br>9.) Data Assimilation for Geophysical Fluids<br>10.) Continuum and Discrete Covariance Propagation for Advective Dynamics<br><br>Part 5. Analysis<br>11.) The 3D Primitive Equations in the absence of viscosity: Boundary Conditions and well-posedness in the linearized case<br>12.) Some Mathematical Problems in Geophysical Fluid Dynamics