Improved Prediction of the Indian Ocean Dipole Mode by Use of Subsurface Ocean Observations

摘要: AbstractThe numerical seasonal prediction system using the Scale Interaction Experiment–Frontier version 1 (SINTEX-F) ocean–atmosphere coupled model has so far demonstrated a good performance for of Indian Ocean dipole mode (IOD) despite fact that adopts relatively simple initialization scheme based on nudging only sea surface temperature (SST). However, it is to be expected not sufficient capture in detail subsurface oceanic precondition. Therefore, authors have introduced new three-dimensional variational ocean data assimilation (3DVAR) method takes observed and salinity into account. Since successfully improved IOD predictions, present study showing observational efforts tropical are decisive improvement predictions may large impact important socioeconomic activities, particularly rim co...