10 citations · 42 across the 21 of their papers we have counts for
21 papers
Power laws in the sea ice floe size distribution: a stochastic theory
Samuel N. Stechmann, Jiuhua Hu, Brandon P. Montemuro +4
Sea ice is a complex system, and observations have shown that ice segments (i.e., floes) have a wide range of sizes, with a floe size distribution that follows a power law. However…
Simulation and Data Assimilation in an Idealized Coupled Atmosphere-Ocean-Sea Ice Floe Model with Cloud Effects
Changhong Mou, Samuel N. Stechmann, Nan Chen
Sea ice plays a crucial role in the climate system, particularly in the Marginal Ice Zone (MIZ), a transitional area consisting of fragmented ice between the open ocean and consoli…
Beyond Linear Decomposition: a Nonlinear Eigenspace Decomposition for a Moist Atmosphere with Clouds
Antoine Remond-Tiedrez, Leslie M. Smith, Samuel N. Stechmann
A linear decomposition of states underpins many classical systems. This is the case of the Helmholtz decomposition, used to split vector fields into divergence-free and potential c…
Unique reconstruction for discretized inverse problems: a random sketching approach via subsampling
Ruhui Jin, Qin Li, Anjali Nair +1
Theoretical inverse problems are often studied in an ideal infinite-dimensional setting. The well-posedness theory provides a unique reconstruction of the parameter function, when…
LEMDA: A Lagrangian-Eulerian Multiscale Data Assimilation Framework
Quanling Deng, Nan Chen, Samuel N. Stechmann +1
Lagrangian trajectories are widely used as observations for recovering the underlying flow field via Lagrangian data assimilation (DA). However, the strong nonlinearity in the obse…
Estimating the time-evolving refractivity of a turbulent medium using optical beam measurements: a data assimilation approach
Anjali Nair, Qin Li, Samuel N. Stechmann
In applications such as free-space optical communication, a signal is often recovered after propagation through a turbulent medium. In this setting, it is common to assume that lim…