Abstract. The skill of seasonal precipitation forecasts is assessed worldwide —grid point by grid point — for the forty-years period 1961-2000. To this aim, the ENSEMBLES multi-model hindcast is considered. Although predictability varies with region, season and lead-time, results indicate that 1) significant skill is mainly located in the tropics —20 to 40% of the total land areas—, 2) overall, SON (MAM) is the most (less) skillful season and 3) predictability does not decrease noticeably from one to four months lead-time —this is so especially in northern south America and the Malay archipelago, which seem to be the most skillful regions of the world—. An analysis of teleconnections revealed that most of the skillful zones exhibit signific...
The asymptotic predictability of global land surface precipitation is estimated empirically at the s...
Using the APEC Climate Center (APCC) operational multimodel ensemble (MME) hindcasts of precipitatio...
The study presents a statistically based seasonal precipitation forecast model, which automatically...
We quantify seasonal prediction skill of tropical winter rainfall in 14 climate forecast systems. Hi...
The skill with which a coupled ocean–atmosphere model is able to predict precipitation over a range ...
The skill of precipitation forecasts from global prediction systems has a strong regional and season...
Some of the biggest emerging market economies include countries in South America, Asia and Africa. B...
In recent years, there has been increasing demand for high-resolution seasonal climate forecasts at ...
The South Asia Seasonal Climate Outlook Forum (SASCOF) issues seasonal tercile precipitation forecas...
Skilful seasonal climate forecasts have potential to affect decision making in agriculture, health a...
The performance of boreal winter forecasts made with the European Centre for Medium-Range Weather Fo...
The skill of state-of-the-art operational seasonal forecast models in extratropical latitudes is ass...
This paper examines the forecasting skill of eight Global Climate Models from the North-American Mul...
Useful hindcast skill of meteorological drought, assessed with the 3-month standardized precipitatio...
This work presents an assessment of the predictability and skill of climate anomalies over South Ame...
The asymptotic predictability of global land surface precipitation is estimated empirically at the s...
Using the APEC Climate Center (APCC) operational multimodel ensemble (MME) hindcasts of precipitatio...
The study presents a statistically based seasonal precipitation forecast model, which automatically...
We quantify seasonal prediction skill of tropical winter rainfall in 14 climate forecast systems. Hi...
The skill with which a coupled ocean–atmosphere model is able to predict precipitation over a range ...
The skill of precipitation forecasts from global prediction systems has a strong regional and season...
Some of the biggest emerging market economies include countries in South America, Asia and Africa. B...
In recent years, there has been increasing demand for high-resolution seasonal climate forecasts at ...
The South Asia Seasonal Climate Outlook Forum (SASCOF) issues seasonal tercile precipitation forecas...
Skilful seasonal climate forecasts have potential to affect decision making in agriculture, health a...
The performance of boreal winter forecasts made with the European Centre for Medium-Range Weather Fo...
The skill of state-of-the-art operational seasonal forecast models in extratropical latitudes is ass...
This paper examines the forecasting skill of eight Global Climate Models from the North-American Mul...
Useful hindcast skill of meteorological drought, assessed with the 3-month standardized precipitatio...
This work presents an assessment of the predictability and skill of climate anomalies over South Ame...
The asymptotic predictability of global land surface precipitation is estimated empirically at the s...
Using the APEC Climate Center (APCC) operational multimodel ensemble (MME) hindcasts of precipitatio...
The study presents a statistically based seasonal precipitation forecast model, which automatically...