Peter C. Chu

Distinguished Professor and Chair

Department of Oceanography
Naval Postgraduate School, Monterey, CA  93943

Ocean Data Assimilation

Galanis, G., M. Kafatos, P.C. Chu, N. Hatzopoulos, E. Papageorgiou, and A. Liakatas, 2017: Operational atmospheric and wave modeling in the California’s coastline and offshore area with applications to wave energy monitoring and assessment. Journal of Operational Oceanography, 10, 135-153.

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.

Zhang, X.F., D. Li, P.C. Chu, L.X. Zhang, and W. Li, 2015: Diffusion filters for variational data assimilation of sea surface temperature in an intermediate climate model. Advances in Meteorology, Article ID 751404.

Fu, H.-L., P. C. Chu, G.-J. Han, Z.-L. He, W. Li, X.-F. Zhang, 2013: Improvement of short-term forecasting in the northwest Pacific through assimilating Argo data into initial fields. Acta Oceanologica Sinica, 22 (7), 1-9, DOI: 10.1007/s13131-013-0301-9.

Galanis, G., P.C. Chu, G. Kallos, Y-H Kuo, and C.T.J. Dodson, 2012: Wave Height Characteristics in the North Atlantic Ocean - A new approach based on Statistical and Geometrical techniques. Stochastic Environmental Research and Risk Assessment, 26, 83-103.

Galanis, G, D. Hayes, G. Zodiatis, P.C. Chu, Y-H Kuo, and G. Kallos, 2011: Wave height characteristics in the Mediterranean Sea by means of numerical modeling, satellite data, statistical and geometrical techniques. Marine Geophysical Research, DOI 10.1007/s11001-011-9142-0.

Galanis, G., P.C. Chu, G. Kallos, 2011: Statistical post processes for the improvement of the results of numerical wave prediction models. A combination of Kolmogorov-Zurbenko and Kalman filters. Journal of Operational Oceanography, 4 (1), 23-31.

Galanis, G., G. Emmanouil, P.C. Chu, and G. Kallos, 2009: A new methodology for the extension of the impact of data assimilation on ocean wave prediction. Ocean Dynamics, 59, 523-535.

Chu, P.C., G.R. Amezaga, E.L. Gottshall, and D. S. Cwalina, 2007: Ocean nowcast/forecast systems for improvement of Naval undersea capabilities. Marine Technology Society Journal, 41 (2), 23-30.

Chu, P.C., S. Mancini, E. L. Gottshall, D. S. Cwalina , C. N. Barron, 2007: Sensitivity of satellite altimetry data assimilation on weapon acoustic preset using MODAS. IEEE Journal of Oceanic Engineering, 32, 453-468.

Chu, P.C., M. D. Perry, E.L. Gottshall, and D.S. Cwalina, 2004: Satellite data assimilation for improvement of Naval undersea capability. Marine Technology Society Journal, 38 (1), 11-23.

Chu, P.C., G.H. Wang, and C.W. Fan, 2004: Evaluation of the U.S. Navy’s Modular Ocean Data Assimilation System (MODAS) using the South China Sea Monsoon Experiment (SCSMEX) data. Journal of Oceanography, 60, 1007-1021.

Chu, P.C., M.D. Perry, E.L. Gottashall, and D.S. Cwalina, 2004: Satellite data assimilation for weapon acoustic preset program. U.S. Navy Journal of Underwater Acoustics, 54, 747-774. 

Chu, P.C., L.M. Ivanov, and T.M. Margolina, 2004: Rotation method for reconstructing process and field from imperfect data. International Journal of Bifurcation and Chaos, 14, 2991-2997.

Sun, J.L., P.C. Chu, and Q. Liu, 2004: The seasonal variation of undercurrent and temperature in the equatorial Pacific jointly derived from buoy measurement and assimilation analysis. Acta Oceanologica Sinica, 23, 51-60.

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.