Passage of intraseasonal waves in the subsurface oceans

Abstract

This study exploits the coverage of ARGO (Array for Real-time Geostrophic Oceanography) float data sets towards identifying passage of intraseasonal waves over the subsurface global oceans. ARGO, a new observing system, has provided an unprecedented data coverage and impact. The assimilation of ARGO data reveals that the subsurface ocean temperature carry signatures on the passage of the intraseasonal waves. This vast oceanic data sets provided an opportunity to explore the usefulness of coupled assimilation for seasonal forecasts on the passage of these waves. The results suggest that the inclusion of subsurface ARGO profiler data sets can be useful for prediction of the intraseasonal waves in the atmosphere/oceans. These improved forecasts hold the promise for improved seasonal outlook projections for the dry and wet spells of the monsoon. We also demonstrate improved phase relationship on the passage of zonal wind anomalies of the intraseasonal waves and the monsoon rainfall.