Coupled Air-Sea Interactions in the Bay of Bengal: Dynamics and Predictability of Monsoon Intraseasonal Oscillation

Abstract

The monsoon intraseasonal oscillation (MISO) is inherently a coupled ocean-atmospherephenomenon. Understanding the role of the ocean and coupled physics for the simulation andforecast models is the primary goal of the MISO-BOB DRI. The purpose of this study is toevaluate the role that the Bay of Bengal (BOB) plays in the dynamics, sensitivity, andpredictability of the MISO. The project will use a regional coupled model (coupling WRF andROMS) that is optimally configured for the MISO-BOB study with 1) an explicit deepconvection for better representation of the MISO convective processes, 2) realistic prescriptionof the river discharge forcing, 3) highly resolved (both horizontal and vertical) mixed layerprocess, 4) multi-scale modeling framework for local and remote controls of the MISO, and 5)on/off control of ocean data assimilation procedures. Using this unique modeling strategy, thisstudy will 1) focus on the combined and relative impacts of the barrier layer dynamics and thediurnal SST variability on the MISO, 2) identify local and remote (e.g., the Arabian Sea and thetropical Indian Ocean) regions of critical importance to the MISO-BOB coupling, and 3)evaluate the controls of MISO by the large-scale climate modes of variability, and 4) examinethe predictable components and predictability limit of the MISO. I will provide modeling supportto the DRI with the coupled and uncoupled model hindcasts and forecasts as well as making realtimelarge-scale climate indicates and modified proxies for MISO available to the DRI team.

Document Details

Document Type
DoD Grant Award
Publication Date
May 05, 2017
Source ID
N000141712398

Entities

People

  • Hyodae Seo

Organizations

  • Office of Naval Research
  • United States Navy
  • Woods Hole Oceanographic Institution

Tags

Fields of Study

  • Environmental science

Readers

  • Data Mining and Knowledge Discovery.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers