Publications

7. F. Bleitner, E. Carlson, C. Nobili Large time behaviour of the 2D thermally non-diffusive Boussinesq equations with Navier-slip boundary conditions (preprint)

6. E. Carlson, A. Larios, E.S. Titi. Super-exponential convergence rate of a nonlinear continuous data assimilation algorithm: The 2D Navier-Stokes equations paradigm. (submitted).

5. E. Carlson, J. Hudson, A. Larios, V. R. Martinez, E. Ng, J. P. Whitehead. Dynamically learning the parameters of a chaotic system using partial observations DCDS, 32, no. 8 (2022).

4. E. Carlson, L. Van Roekel, H. Godinez, M. Petersen, A. Larios. CDA Algorithm Implemented in MPAS-O To Improve Eddy Effects in a Mesoscale Simulation (submitted).

3. E. Carlson, A. Larios. Sensitivity Analysis for the 2D Navier-Stokes Equations with Applications to Continuous Data Assimilation J. Nonlinear Sci., 31, no. 84, (2021).

2. E. Carlson, J. Hudson, A. Larios. Parameter Recovery for the 2D Navier-Stokes Equations Via Continuous Data Assimilation. SIAM J. Sci. Comput, 42, no. 1, (2020), pp. 250–270. 

(please email me for a copy)

1. E. Carlson, E. Sullivan. Fish Mixing . UMAP, Vol. 37, No. 4, 2016. (also featured as a classroom resource in Tactile Learning Activities in Mathematics: A Recipe Book for the Undergraduate Classroom. September 2018.)