The Philippine Archipelago is remarkable because of its complex geometry, with multiple islands and passages, and its multiscale dynamics, from the large-scale open-ocean and atmospheric forcing, to the strong tides and internal waves in narrow straits and at steep shelfbreaks. We employ our multiresolution modeling system to predict and study multiscale dynamics in the region, without the use of any synoptic in situ data, so as to evaluate modeling capabilities when only sparse remotely sensed sea surface height is available for assimilation. We focus on the February to March 2009 period, compare our simulation results to ocean observations, and utilize our simulations to quantify and discover oceanic features in the region. The findings include: the physical drivers for the biogeochemical features; the diverse circulation features in each sub-sea and their variations on multiple scales; the flow fields within the major straits and their variability; the transports to and from the Sulu Sea and the corresponding balances; and finally, the multiscale mechanisms involved in the formation of the deep Sulu Sea water.

Lermusiaux, P.F.J., P.J. Haley Jr., W.G. Leslie, A. Agarwal, O.G. Logutov, and L.J. Burton. 2011. Multiscale physical and biological dynamics in the Philippine Archipelago: Predictions and processes. Oceanography 24(1):70–89, https://doi.org/10.5670/oceanog.2011.05.

Agarwal, A. 2009. Statistical field estimation and scale estimation for complex coastal regions and archipelagos. Master’s thesis, Massachusetts Institute of Technology, Cambridge, MA.

Agarwal, A., and P.F.J. Lermusiaux. 2010. Statistical field estimation for complex coastal regions and archipelagos. Reports in Ocean Science and Engineering 7, Department of Mechanical Engineering, MIT, Cambridge, Massachusetts.

Antonov, J.I., R.A. Locarnini, T.P. Boyer, A.V. Mishonov, and H.E. Garcia. 2006. World Ocean Atlas 2005. Volume 2: Salinity. S. Levitus, ed., NOAA Atlas NESDIS 62, US Government Printing Office, Washington, DC, 182 pp.

Apel, J.R., J.R. Holbrook, J. Tsai, and A.K. Liu. 1985. The Sulu Sea internal solitons experiment. Journal of Physical Oceanography 15(12):1,625–1,651. [CrossRef]

Arango, H.G., J.C. Levin, E.N. Curchitser, B. Zhang, A.M. Moore, W. Han, A.L. Gordon, C.M. Lee, and J.B. Girton. 2011. Development of a hindcast/forecast model for the Philippine Archipelago. Oceanography 24(1):58–69. [CrossRef]

Besiktepe, S.T., P.F.J. Lermusiaux, and A.R. Robinson. 2003. Coupled physical and biochemical data driven simulations of Massachusetts Bay in late summer: Real-time and post-cruise data assimilation. In special issue on “The use of data assimilation in coupled hydrodynamic, ecological and bio-geo-chemical models of the oceans,” M. Gregoire, P. Brasseur, and P.F.J. Lermusiaux, eds. Journal of Marine Systems 40:171–212.

Bleck, R. 2002. An oceanic general circulation model framed in hybrid isopycnic-Cartesian coordinates. Ocean Modelling 37:55–88. [CrossRef]

Bresenham, J.E. 1965. Algorithm for computer control of a digital plotter. IBM Systems Journal 4(1):25–30. [CrossRef]

Broecker, W., W. Patzert, R. Toggweiler, and M. Stuiver. 1986. Hydrography, chemistry, and radioisotopes in the Southeast Asian Basins. Journal of Geophysical Research 91:14,345–14,354. [CrossRef]

Cabrera, O.C., C.L. Villanoy, L.T. David, and A.L. Gordon. 2011. Barrier layer control of entrainment and upwelling in the Bohol Sea, Philippines. Oceanography 24(1):130–141. [CrossRef]

Chapra, S.C., and R.P. Canale. 2009. Numerical Methods for Engineers, 6th ed. McGraw-Hill Higher Education, Boston, MA, 960 pp.

Cordero, K., C.L. Villanoy, L.T. David, and K. Silvano, 2007. Estimating integrated phytoplankton biomass in the seas around the Philippines. Proceedings of the 13th Workshop of OMISAR [Ocean Models and Information System for the APEC (Asia-Pacific Economic Cooperation) Region] (WOM-13) on Validation and Application of Satellite Data for Marine Resources Conservation. October 5–9, 2004, Bali, Indonesia.

Dolar, M.L., W.L. Perrin, B.L. Taylor, G.L. Kooyman, and M.N.R. Alava. 2006. Abundance and distributional ecology of cetaceans in the central Philippines. Journal of Cetacean Research and Management 8:93–111.

Egbert, G.D., and S.Y. Erofeeva. 2002. Efficient inverse modeling of barotropic ocean tides. Journal of Atmospheric and Oceanic Technology 19(2):183–204. [CrossRef]

Egbert, G.D., A.F. Bennett, and M.G.G. Foreman. 1994. Topex/Poseidon tides estimated using a global inverse model. Journal of Geophysical Research 99:24,821–24,852, https://doi.org/10.1029/94JC01894. [CrossRef]

Gamo, T., Y. Kato, H. Hasumoto, H. Kakiuchi, N. Momoshima, N. Takahata, and Y. Sano. 2007. Geochemical implications for the mechanism of deep convection in a semi-closed tropical marginal basin: Sulu Sea. Deep-Sea Research Part II 54(1–2):4–13. [CrossRef]

Gangopadhyay, A., A.R. Robinson, P.J. Haley, W.J. Leslie, C.J. Lozano, J.J. Bisagni, and Z. Yu. 2003. Feature Oriented Regional Modeling and Simulation (FORMS) in the Gulf of Maine and Georges Bank. Continental Shelf Research 23(3–4):317–353. [CrossRef]

Gordon, A.L. 2009. Regional Cruise Intensive Observational Period 2009. Technical report, Lamont-Doherty Earth Observatory, Palisades, NY. Available online at: http://www.ldeo.columbia.edu/~agordon/Reports/RIOP09_LEG2_rept.pdf (accessed January 25, 2011).

Gordon, A.L., J. Sprintall, and A. Ffield. 2011. Regional oceanography of the Philippine Archipelago. Oceanography 24(1):14–27. [CrossRef]

Girton, J.B., B.S. Chinn, and M.H. Alford. 2011. Internal wave climates of the Philippine seas. Oceanography 24(1):100–111. [CrossRef]

Haley, P.J. Jr., and P.F.J. Lermusiaux. 2010. Multiscale two-way embedding schemes for free-surface primitive equations in the Multidisciplinary Simulation, Estimation and Assimilation System. Ocean Dynamics 60:1,497–1,537. [CrossRef]

Haley, P.J. Jr., P.F.J. Lermusiaux, A.R. Robinson, W.G. Leslie, O. Logoutov, G. Cossarini, X.S. Liang, P. Moreno, S.R. Ramp, J.D. Doyle, and others. 2009. Forecasting and reanalysis in the Monterey Bay/California Current region for the Autonomous Ocean Sampling Network-ii experiment. Deep Sea Research Part II 56(3–5):127–148. [CrossRef]

Hodur, R.M. 1997. The Naval Research Laboratory’s Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS). Monthly Weather Review 125(7):1,414–1,430. [CrossRef]

Hurlburt, H.E., E.J. Metzger, J. Sprintall, S.N. Riedlinger, R.A. Arnone, T. Shinoda, and X. Xu. 2011. Circulation in the Philippine Archipelago simulated by 1/12° and 1/25° global HYCOM and EAS NCOM. Oceanography 24(1):28–47. [CrossRef]

Ingleby, B., and M. Huddleston. 2007. Quality control of ocean temperature and salinity profiles: Historical and real-time data. Journal of Marine Systems 65:158–175. [CrossRef]

Jackson, C.R., Y. Arvelyna, and I. Asanuma. 2011. High-frequency nonlinear internal waves around the Philippines. Oceanography 24(1):90–99. [CrossRef]

Jones, B.H., C.M. Lee, G. Toro-Farmer, E.S. Boss, M.C. Gregg, and C.L. Villanoy. 2011. Tidally driven exchange in an archipelago strait: Biological and optical responses. Oceanography 24(1):142–155. [CrossRef]

Lam, F.P, P.J. Haley Jr., J. Janmaat, P.F.J. Lermusiaux, W.G. Leslie, M.W. Schouten, L.A. te Raa, and M. Rixen. 2009. At-sea real-time coupled four-dimensional oceanographic and acoustic forecasts during Battlespace Preparation 2007. In special issue on “Coastal Processes: Challenges for Monitoring and Prediction,” J.W. Book, M. Orlic, and M. Rixen, eds. Journal of Marine Systems 78:S306–S320. [CrossRef]

Leben, R.R., G.H. Born, and B.R. Engebreth. 2002. Operational altimeter data processing for mesoscale monitoring. Marine Geodesy 25:3–18, https://doi.org/10.1080/014904102753516697. [CrossRef]

Lermusiaux, P.F.J. 1999. Data assimilation via error subspace statistical estimation. Part II: Middle Atlantic bight shelfbreak front simulations and ESSE validation. Monthly Weather Review 127(8):1,408–1,432. [CrossRef]

Lermusiaux, P.F.J. 2002. On the mapping of multivariate geophysical fields: Sensitivity to size, scales and dynamics. Journal of Atmospheric and Oceanic Technology 19(10):1,602–1,637. [CrossRef]

Lermusiaux, P.F.J. 2006. Uncertainty estimation and prediction for interdisciplinary ocean dynamics. In special issue on “Uncertainty Quantification,” J. Glimm and G. Karniadakis, eds. Journal of Computational Physics 217(1):176–199. [CrossRef]

Lermusiaux, P.F.J. 2007. Adaptive sampling, adaptive data assimilation and adaptive modeling. In special issue on “Mathematical issues and challenges in data assimilation for geophysical systems: Interdisciplinary perspectives,” C. Jones and K. Ide, eds. Physica D 230:172–196. [CrossRef]

Lermusiaux, P.F.J., and A.R. Robinson. 2001. Features of dominant mesoscale variability, circulation patterns and dynamics in the Strait of Sicily. Deep Sea Research Part I 48(9)1,953–1,997. [CrossRef]

Lermusiaux, P.F.J., D.G.M. Anderson, and C.J. Lozano. 2000. On the mapping of multivariate geophysical fields: Error and variability subspace estimates. Quarterly Journal of the Royal Meteorological Society 126:1,387–1,429. [CrossRef]

Lermusiaux, P.F.J., P.J. Haley Jr., W.G. Leslie, O. Logutov, A. Agarwal, and L. Burton. 2009. Real-time IOP09 Multiscale Field Estimation, Forecasting and Dynamical Descriptions. http://mseas.mit.edu/Sea_exercises/Straits/index.html.

Lermusiaux, P.F.J., J. Xu, C.F. Chen, S. Jan, L.Y. Chiu, and Y.-J. Yang, 2010. Coupled ocean-acoustic prediction of transmission loss in a continental shelfbreak region: Predictive skill, uncertainty quantification and dynamical sensitivities. IEEE Transactions, Journal of Oceanic Engineering 35(4)895–916. [CrossRef]

Locarnini, R.A., A.V. Mishonov, J.I. Antonov, T.P. Boyer, and H.E. Garcia. 2006. World Ocean Atlas 2005. Volume 1: Temperature. S. Levitus, ed., NOAA Atlas NESDIS 61, US Government Printing Office, Washington, DC, 182 pp.

Logutov, O.G. 2008. A multigrid methodology for assimilation of measurements into regional tidal models. Ocean Dynamics 58:441–460. [CrossRef]

Logutov, O.G., and P.F.J. Lermusiaux. 2008. Inverse barotropic tidal estimation for regional ocean applications. Ocean Modelling 25:17–34. [CrossRef]

May, P.W., J.D. Doyle, J.D. Pullen, and L.T. David. 2011. Two-way coupled atmosphere-ocean modeling of the PhilEx Intensive Observational Periods. Oceanography 24(1):48–57. [CrossRef]

Metzger, E.J., and H.E. Hurlburt. 1996. Coupled dynamics of the South China Sea, the Sulu Sea, and the Pacific Ocean. Journal of Geophysical Research 101(C5):12,331–12,352. [CrossRef]

MSEAS Group. 2010. The Multidisciplinary Simulation, Estimation, and Assimilation Systems [MSEAS] (http://mseas.mit.edu, http://mseas.mit.edu/codes). Reports in Ocean Science and Engineering 6, Department of Mechanical Engineering, MIT, Cambridge, Massachusetts.

Ohlmann, J.C. 2011. Drifter observations of small-scale flows in the Philippine Archipelago. Oceanography 24(1):122–129. [CrossRef]

Pullen, J.D., A.L. Gordon, J. Sprintall, C.M. Lee, M.H. Alford, J.D. Doyle, and P.W. May. 2011. Atmospheric and oceanic processes in the vicinity of an island strait. Oceanography 24(1):112–121. [CrossRef]

Qu, T., and R. Lukas. 2003. The bifurcation of the North Equatorial Current in the Pacific. Journal of Physical Oceanography 33:5–18. [CrossRef]

Quadfasel, D., H. Kudrass, and A. Frische. 1990. Deep-water renewal by turbidity currents in the Sulu Sea. Nature 348:320–322. [CrossRef]

Rosenthal, Y., D.W. Oppo, and B.K. Linsley. 2003. The amplitude and phasing of climate change during the deglaciation in the Sulu Sea, western equatorial Pacific. Geophysical Research Letters 30(8):16. [CrossRef]

Rosmond, T.E. 1992. The design and testing of the Navy Operational Global Atmospheric Prediction System. Weather and Forecasting 7(2):262–272. [CrossRef]

Rypina, I., L. Pratt, J. Pullen, J. Levin, and A. Gordon. 2010. Chaotic advection in an archipelago. Journal of Physical Oceanography 40:1,988–2,006. [CrossRef]

Smith, W.H.F., and D.T. Sandwell. 1997. Global seafloor topography from satellite altimetry and ship depth soundings. Science 277:1,957–1,962. [CrossRef]

Tessler, Z.D., A.L. Gordon, L.J. Pratt, and J. Sprintall. 2010. Transport and dynamics of the Panay sill overflow in the Philippine seas. Journal of Physical Oceanography. [CrossRef]

Tian, R.C., P.F.J. Lermusiaux, J.J. McCarthy, and A.R. Robinson. 2004. A generalized prognostic model of marine biogeochemical-ecosystem dynamics: Structure, parameterization and adaptive modeling. Harvard Reports in Physical/Interdisciplinary Ocean Science 67:1–65.

Ueckermann, M.P. 2009. Towards Next Generation Ocean Models: Novel Discontinuous Galerkin Schemes for 2D Unsteady Biogeochemical Models. Master’s Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering, September 2009.

Villanoy, C.L., O.C. Cabrera, A. Yñiguez, M. Camoying, A. de Guzman, L.T. David, and P. Flament. 2011. Monsoon-driven coastal upwelling off Zamboanga Peninsula, Philippines. Oceanography 24(1):156–165. [CrossRef]

Vitousek, S., and O.B. Fringer. 2010. Physical vs. numerical dispersion in nonhydrostatic ocean modeling. Ocean Modelling, submitted.

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