Predictability of the Indian Ocean sea surface temperature anomalies in the GFDL coupled model

Predictability of the Indian Ocean sea surface temperature anomalies in the GFDL coupled model

[1] We explore the predictability of the sea surface temperature anomalies associated with the Indian Ocean Dipole/Zonal Mode (IODZM) at a three-season lead, within the Geophysical Fluid Dynamics Laboratory (GFDL) coupled general circulation model (CGCM). In both control simulations and retrospective forecasts of the 1990’s in the CGCM, we find that the occurrence of some IODZM events is precon...

Indian Ocean Variability in the GFDL Coupled Climate Model

The interannual variability of the Indian Ocean, with particular focus on the Indian Ocean dipole/zonal mode (IODZM), is investigated in a 250-yr simulation of the GFDL coupled global general circulation model (CGCM). The CGCM successfully reproduces many fundamental characteristics of the climate system of the Indian Ocean. The character of the IODZM is explored, as are relationships between p...

Impact of southeast Indian Ocean sea surface temperature anomalies on monsoon-ENSO-dipole variability in a coupled ocean-atmosphere model

Diagnosis of decadal predictability of Southern Ocean sea surface temperature in 1 the GFDL CM 2 . 1 model

relationships between arab sea and indian ocean surface temperature anomalies with precipitation over southern of iran

iran is located in arid and semiarid areas based on continental divisions; any change in precipitation would have potential effects on agriculture, economic and other related issues in general. therefore, it is of high importance to know and identify the moisture-related sources needed to study the country’s precipitation data. for this purpose, it is important to correlate monthly precipitatio...