Multiscale Physical and Biological Dynamics in the Philippines Archipelago: Predictions and Processes

Abstract

The Philippine Archipelago is remarkable by the complexity of its geometry with multiple islands and passages and by 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 utilize our multi-resolution 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 Feb.-Mar. 2009 period and compare our simulation results to ocean observations. The oceanographic findings include a presentation of the various biogeochemical features forecast in real-time, a description of the main circulation features, the evolution of flow fields within three major straits, the estimation of transports to and from the Sulu Sea and the corresponding balances, and finally an investigation of multiscale mechanisms involved in the formation of the deep Sulu Sea water.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2011
Accession Number
ADA533966

Entities

People

  • Arpit Agarwal
  • Lisa J. Burton
  • Oleg Logutov
  • Patrick J. Haley Jr.
  • Pierre F. J. Lermusiaux
  • Wayne G. Leslie

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Archipelagoes
  • Assimilation
  • Chemistry
  • Flow Fields
  • Geometry
  • Internal Waves
  • Islands
  • Oceanography
  • Oceans
  • Physics
  • Sea Surface Temperature
  • Sea Water
  • Simulations
  • Surface Temperature
  • Topography
  • Underwater Acoustics
  • Water

Fields of Study

  • Environmental science

Readers

  • Computational Fluid Dynamics (CFD)
  • East Asian Political and Security Studies within the Soviet Union
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers