Aneesh C. Subramanian

Eddies in the Red Sea: A statistical and dynamical study

Sea level anomaly (SLA) data spanning 1992–2012 were analyzed to study the statistical properties of eddies in the Red Sea. An algorithm that identifies winding angles was employed …

peng-zhan

Diagnosing MJO hindcast biases in NCAR CAM3 using nudging during the DYNAMO field campaign

This study evaluates the Madden–Julian Oscillation (MJO) hindcast skill and investigates the hindcast biases in the dynamic and thermodynamic fields of the National Center for …

aneesh-c.-subramanian

Coupled Impacts of the Diurnal Cycle of Sea Surface Temperature on the Madden-Julian Oscillation

This study quantifies, from a systematic set of regional ocean-atmosphere coupled model simulations employing various coupling intervals, the effect of subdaily sea surface …

hyodae-seo

An Adjoint-Based Adaptive Ensemble Kalman Filter

A new hybrid ensemble Kalman filter/four-dimensional variational data assimilation (EnKF/4D-VAR) approach is introduced to mitigate background covariance limitations in the EnKF. …

hajoon-song

Linear versus Nonlinear Filtering with Scale-Selective Corrections for Balanced Dynamics in a Simple Atmospheric Model

This paper investigates the role of the linear analysis step of the ensemble Kalman filters (EnKF) in disrupting the balanced dynamics in a simple atmospheric model and compares it …

aneesh-c.-subramanian

The Madden-Julian Oscillation in CCSM4

This study assesses the ability of the Community Climate System Model, version 4 (CCSM4) to represent the Madden-Julian oscillation (MJO), the dominant mode of intraseasonal …

aneesh-c.-subramanian

An Adaptive Approach to Mitigate Background Covariance Limitations in the Ensemble Kalman Filter

A new approach is proposed to address the background covariance limitations arising from undersampled ensembles and unaccounted model errors in the ensemble Kalman filter (EnKF). …

hajoon-song