4 citations · 4 across the 5 of their papers we have counts for
5 papers
High-resolution probabilistic estimation of three-dimensional regional ocean dynamics from sparse surface observations
Niloofar Asefi, Tianning Wu, Ruoying He +1
The ocean interior regulates Earth's climate but remains sparsely observed due to limited in situ measurements, while satellite observations are restricted to the surface. We prese…
Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity
Niloofar Asefi, Leonard Lupin-Jimenez, Tianning Wu +2
Reconstructing ocean dynamics from observational data is fundamentally limited by the sparse, irregular, and Lagrangian nature of spatial sampling, particularly in subsurface and r…
Advanced Ocean Reanalysis of the Northwestern Atlantic: 1993-2022
Ruoying He, Tianning Wu, Shun Mao +5
A 30-year high-resolution Northwestern Atlantic Ocean Reanalysis (NAOR) is presented. NAOR spans from January 1993 to December 2022 with a 4 km horizontal resolution and 50 vertica…
Simultaneous emulation and downscaling with physically-consistent deep learning-based regional ocean emulators
Leonard Lupin-Jimenez, Moein Darman, Subhashis Hazarika +5
Building on top of the success in AI-based atmospheric emulation, we propose an AI-based ocean emulation and downscaling framework focusing on the high-resolution regional ocean ov…
OceanNet: A principled neural operator-based digital twin for regional oceans
Ashesh Chattopadhyay, Michael Gray, Tianning Wu +2
While data-driven approaches demonstrate great potential in atmospheric modeling and weather forecasting, ocean modeling poses distinct challenges due to complex bathymetry, land,…