P
Peter C. Chu
Researcher at Naval Postgraduate School
Publications - 422
Citations - 7102
Peter C. Chu is an academic researcher from Naval Postgraduate School. The author has contributed to research in topics: Mixed layer & Sea surface temperature. The author has an hindex of 43, co-authored 408 publications receiving 6516 citations. Previous affiliations of Peter C. Chu include United States Department of the Navy & University of Chicago.
Papers
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Mesoscale eddies in the South China Sea observed with altimeter data
TL;DR: In this article, a composite time series (1993-2000) of sea surface height anomaly from several satellites is used to identify eddies in the South China Sea (SCS), and the eddy lifetime, radius, strength, and straight-line travel distance are estimated.
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A Three-Point Combined Compact Difference Scheme
Peter C. Chu,Chenwu Fan +1 more
TL;DR: In this article, a three-point combined compact difference (CCD) scheme was developed for numerical models, which is more compact and more accurate than normal compact difference schemes, due to its combination of the first and second derivatives.
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Economic order quantity of deteriorating items under permissible delay in payments
TL;DR: The main purpose of this paper is to investigate the properties of the convexity of the total variable cost function of the inventory model of the deteriorating items under a permissible delay in payments.
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Dynamical Mechanisms for the South China Sea Seasonal Circulation and Thermohaline Variabilities
TL;DR: In this paper, the seasonal ocean circulation and the seasonal thermal structure in the South China Sea (SCS) were studied numerically using the Princeton Ocean Model (POM) with 20-km horizontal resolution and 23 sigma levels conforming to a realistic bottom topography.
NOTES AND CORRESPONDENCE Dynamical Mechanisms for the South China Sea Seasonal Circulation and Thermohaline Variabilities
TL;DR: In this paper, the seasonal ocean circulation and the seasonal thermal structure in the South China Sea (SCS) were studied numerically using the Princeton Ocean Model (POM) with 20-km horizontal resolution and 23 sigma levels conforming to a realistic bottom topography.