Toward the Development of a Coupled COAMPS-ROMS Ensemble Kalman Filter and Adjoint with a focus on the Indian Ocean and the Intraseasonal Oscillation

Abstract

Project Summary The proposed research aims to develop a regional coupled modeling capability based on the Naval Research Laboratory’s Coupled Ocean-Atmosphere Mesoscale Prediction System (COAMPS) and the Regional Ocean Modeling System (ROMS). A further aim is to develop an Ensemble Kalman Filter (EnKF) data assimilation system for COAMPS-ROMS using the Data Assimilation Research Testbed (DART) at the National Center for Atmospheric Research (NCAR). The specific objectives of the proposed research are to: (1) Interface ROMS and COAMPS with the DART which in itself will provide a new and powerful suite of tools that will be freely available to the scientific community; (2) Compare the performance of the EnKF and 4D-Var approaches to data assimilation in ocean only and atmosphere only experiments; (3) Develop a coupled model capability based on the pre-existing COAMPS and ROMS systems using the Earth System Modeling Framework (ESMF); and (4) Investigate the merit of the EnKF approach for data assimilation in a regional coupled model. Pre-existing configurations of COAMPS and ROMS will be invaluable for the testing the combined COAMPS-DART, ROMS-DART and COAMP-ROMS-DART systems. However, the primary geographic focus for the project will be the Indian Ocean, with particular emphasis on air-sea interactions that occur during intraseasonal oscillations which are the building blocks of the monsoon systems. For this we will capitalize on the intensive field campaigns of the Cooperative Indian Ocean Experiment on Intraseasonal Variability in the Year 2011 (CINDY) and the Dynamics of the Madden-Julian Oscillation Experiment (DYNAMO) that took place during Oct. 2011 – Mar. 2012 for which a great deal is already understood about air-sea interactions in the region. The primary motivation for using COAMPS and ROMS is to capitalize in the future on existing tangent linear and adjoint model capabilities and 4-dimensional variational (4D-Var) data assimilation systems for both COAMPS and ROMS. It is envisaged that the project proposed here will pave the way for a hybrid regional coupled data assimilation system based on both the EnKF and 4D-Var approaches.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 12, 2016
Source ID
N000141512300

Entities

People

  • Andrew Moore

Organizations

  • Office of Naval Research
  • United States Navy
  • University of California, Santa Cruz

Tags

Fields of Study

  • Environmental science

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers