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Luyu Sun
Luyu Sun
Post Doctoral Associate, Atmospheric and Oceanic Science, University of Maryland - College Park
Verified email at umd.edu
Title
Cited by
Cited by
Year
Strongly coupled data assimilation in multiscale media: Experiments using a quasi‐geostrophic coupled model
SG Penny, E Bach, K Bhargava, CC Chang, C Da, L Sun, T Yoshida
Journal of Advances in Modeling Earth Systems 11 (6), 1803-1829, 2019
622019
Lagrangian data assimilation of surface drifters in a double-gyre ocean model using the local ensemble transform Kalman filter
L Sun, SG Penny
Monthly Weather Review 147 (12), 4533-4551, 2019
152019
Impacts of the Lagrangian data assimilation of surface drifters on estimating ocean circulation during the Gulf of Mexico grand Lagrangian deployment
L Sun, SG Penny, M Harrison
Monthly Weather Review 150 (4), 949-965, 2022
42022
Online 3-D particle advection in a Lagrangian vertical coordinate ocean model
CS Jones, L Sun, M Harrison, A Adcroft, S Griffies
2024 Ocean Sciences Meeting, 2024
2024
Improvements of Lagrangian data assimilation tested in the Gulf of Mexico
J Dong, L Sun, JA Carton, SG Penny
Monthly Weather Review 151 (8), 1927-1936, 2023
2023
Improving Ocean Circulations Using Lagrangian Data Assimilation of Surface Drifters During Grand Lagrangian Deployments
L Sun, S Penny, M Harrison
EGU General Assembly Conference Abstracts, EGU21-10424, 2021
2021
Assessing the Impact of Assimilating Lagrangian Surface Drifters during the Gulf of Mexico Grand Lagrangian Deployment (GLAD)
L Sun, SG Penny, M Harrison
AGU Fall Meeting Abstracts 2020, NG002-0003, 2020
2020
Lagrangian Data Assimilation of Surface Drifters to Support Ocean and Coupled Model Initialization
L Sun
EGU General Assembly Conference Abstracts, 10809, 2020
2020
Lagrangian Data Assimilation of Surface Drifters using the Local Ensemble Transform Kalman Filter
L Sun, S Penny
Ocean Sciences Meeting 2020, 2020
2020
Developments in Lagrangian Data Assimilation and Coupled Data Assimilation to Support Earth System Model Initialization
L Sun
University of Maryland, College Park, 2019
2019
Lagrangian data assimilation of surface drifters using the Local Ensemble Transform Kalman Filter (LETKF)
L Sun
American Geophysical Union 2016, PO44D-3183, 2016
2016
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Articles 1–11