Peter C. Chu
Distinguished Professor and Chair
Department
of Oceanography
Naval Postgraduate School, Monterey, CA 93943
Optimal Spectral Decomposition (OSD)
- Ocean Data
Assimilation Method –
Chu, P.C., T. Margolina, D. Rodriguez, C.-W.
Fan, L. M. Ivanov, 2018: Spatial
and temporal variability of the California Current identified from the synoptic
monthly gridded World Ocean Database (WOD). Deep Sea Research, II, in press.
Chu, P.C., and C. W. Fan, 2017: Synoptic monthly
gridded global and regional four dimensional WOD and GTSPP (T, S, u, v) fields
with the optimal spectral decomposition (OSD) and P-vector methods. Geoscience Data Journal, 4, 50-71, https://doi.org/10.1002/gdj3.48.
Chu,
P.C., C.W. Fan, and T. Margolina, 2016: Ocean spectral
data assimilation without background error covariance
matrix. Ocean
Dynamics, 66: 1143-1163, DOI
10.1007/s10236-016-0971-x.
Chu, P.C., R.T. Tokmakian, C.W. Fan, and C.L. Sun, 2015: Optimal
spectral decomposition (OSD) for ocean data assimilation. Journal of
Atmospheric and Oceanic Technology, 32, 828-841.
Chu, P.C., 2011: Global upper
ocean heat content and climate variability. Ocean
Dynamics, 61 (8),
1189-1204.
Chu,
P.C., L.M. Ivanov, T.P. Korzhova,
T.M. Margolina, and O.M. Melnichenko,
2003: Analysis
of sparse and noisy ocean current data using flow decomposition. Part 2: Application to
Eulerian and Lagrangian
data. Journal of Atmospheric and Oceanic Technology,
20, 492-512.
Chu, P.C., L.M. Ivanov, T.P. Korzhova, T.M. Margolina, and
O.M. Melnichenko, 2003: Analysis of
sparse and noisy ocean current data using flow decomposition. Part 1: Theory. Journal of Atmospheric and Oceanic Technology, 20
(4), 478-491.