The development of the Istituto Nazionale di Geofisica e Vulcanologia (INGV)–Centro Euro-Mediterraneo per i Cambiamenti Climatici (CMCC) Seasonal Prediction System (SPS) is documented. In this SPS the ocean initial-conditions estimation includes a reduced-order optimal interpolation procedure for the assimilation of temperature and salinity profiles at the global scale. Nine-member ensemble forecasts have been produced for the period 1991–2003 for two starting dates per year in order to assess the impact of the subsurface assimilation in the ocean for initialization. Comparing the results with control simulations (i.e., without assimilation of subsurface profiles during ocean initialization), it is shown that the improved ocean initializati...
The climate model is an important tool for simulating and predicting the mean state and variability ...
Abstract This study investigates the predictability of tropical cyclone (TC) seasonal...
We study the impact of three ocean state estimates (GECCO, SODA, [ECMWF]-ORA-S3) on decadal predicta...
The development of the Istituto Nazionale di Geofisica e Vulcanologia (INGV)-Centro Euro-Mediterrane...
The development of the INGV (Istituto Nazionale di Geofisica e Vulcanologia)-CMCC (Centro Euro-Medi...
Global ocean modelling activities at Centro Euro-Mediterraneo per i Cambiamenti Climatici (CMCC) inc...
The potential for climate predictability at seasonal time scales resides in information provided by ...
Global ocean modelling activities at Centro Euro-Me diterraneo per i Cambiamenti Climatici (CMCC) ...
A seasonal forecast system is presented, based on the global coupled climate model MPI-ESM as used f...
Three 10 year ensemble decadal forecast experiments have been performed with the European Centre for...
This paper investigates the impact of different ocean initialization strategies on the forecast skil...
The sensitivity of the predictive skill of a decadal climate prediction system is investigated with ...
One of the main objectives of the global ocean modelling activities at Centro Euro-Mediterraneo per ...
We introduce an improved initialization to the decadal predictions performed for the Mittelfristige ...
One of the main objectives of the global ocean modelling activities at Centro Euro-Mediterraneo p...
The climate model is an important tool for simulating and predicting the mean state and variability ...
Abstract This study investigates the predictability of tropical cyclone (TC) seasonal...
We study the impact of three ocean state estimates (GECCO, SODA, [ECMWF]-ORA-S3) on decadal predicta...
The development of the Istituto Nazionale di Geofisica e Vulcanologia (INGV)-Centro Euro-Mediterrane...
The development of the INGV (Istituto Nazionale di Geofisica e Vulcanologia)-CMCC (Centro Euro-Medi...
Global ocean modelling activities at Centro Euro-Mediterraneo per i Cambiamenti Climatici (CMCC) inc...
The potential for climate predictability at seasonal time scales resides in information provided by ...
Global ocean modelling activities at Centro Euro-Me diterraneo per i Cambiamenti Climatici (CMCC) ...
A seasonal forecast system is presented, based on the global coupled climate model MPI-ESM as used f...
Three 10 year ensemble decadal forecast experiments have been performed with the European Centre for...
This paper investigates the impact of different ocean initialization strategies on the forecast skil...
The sensitivity of the predictive skill of a decadal climate prediction system is investigated with ...
One of the main objectives of the global ocean modelling activities at Centro Euro-Mediterraneo per ...
We introduce an improved initialization to the decadal predictions performed for the Mittelfristige ...
One of the main objectives of the global ocean modelling activities at Centro Euro-Mediterraneo p...
The climate model is an important tool for simulating and predicting the mean state and variability ...
Abstract This study investigates the predictability of tropical cyclone (TC) seasonal...
We study the impact of three ocean state estimates (GECCO, SODA, [ECMWF]-ORA-S3) on decadal predicta...