The topic of predictability in weather and climate has advanced significantly in recent years, both in understanding the phenomena that affect weather and climate and in techniques used to model and forecast them. This book brings together some of the world's leading experts on predicting weather and climate. It addresses predictability from the theoretical to the practical, on timescales from days to decades. Topics such as the predictability of weather phenomena, coupled ocean-atmosphere systems and anthropogenic climate change are among those included. Ensemble systems for forecasting predictability are discussed extensively. Ed Lorenz, father of chaos theory, makes a contribution to theoretical analysis with a previously unpublished pap...
The atmosphere has often been considered “chaotic” when in fact the “chaos” is a manifestation of th...
The prediction and simulation of future weather and climate is a key ingredient in good weather risk...
Predictability is considered in the context of the seamless weather-climate prediction problem, and ...
The topic of predictability in weather and climate has advanced significantly in recent years, both ...
The EarthÕs atmosphere is generally considered to be an example of a chaotic system that is sensitiv...
The weather is a chaotic system. Small errors in the initial conditions of a forecast grow rapidly, ...
This review paper presents an assessment of the current state of knowledge and capability in seasona...
At the end of the 20th century, we can look back on a spectacular development of numerical weather p...
Following Lorenz’s seminal work on chaos theory in the 1960s, probabilistic approaches to prediction...
The evolution of the atmosphere beyond a few days is governed, on the one hand, by variations in the...
Earth’s weather and climate are complex nonlinear systems of dynamical/thermodynamical processes tha...
Deterministic chaos is widely thought to place the ultimate limit on our ability to forecast. While ...
The weather is a chaotic system. Small errors in the initial conditions of a forecast grow rapidly a...
This chapter assesses the scientific literature describing expectations for near-term climate (prese...
The chaotic nature of atmospheric dynamics presents a central challenge to the accurate prediction ...
The atmosphere has often been considered “chaotic” when in fact the “chaos” is a manifestation of th...
The prediction and simulation of future weather and climate is a key ingredient in good weather risk...
Predictability is considered in the context of the seamless weather-climate prediction problem, and ...
The topic of predictability in weather and climate has advanced significantly in recent years, both ...
The EarthÕs atmosphere is generally considered to be an example of a chaotic system that is sensitiv...
The weather is a chaotic system. Small errors in the initial conditions of a forecast grow rapidly, ...
This review paper presents an assessment of the current state of knowledge and capability in seasona...
At the end of the 20th century, we can look back on a spectacular development of numerical weather p...
Following Lorenz’s seminal work on chaos theory in the 1960s, probabilistic approaches to prediction...
The evolution of the atmosphere beyond a few days is governed, on the one hand, by variations in the...
Earth’s weather and climate are complex nonlinear systems of dynamical/thermodynamical processes tha...
Deterministic chaos is widely thought to place the ultimate limit on our ability to forecast. While ...
The weather is a chaotic system. Small errors in the initial conditions of a forecast grow rapidly a...
This chapter assesses the scientific literature describing expectations for near-term climate (prese...
The chaotic nature of atmospheric dynamics presents a central challenge to the accurate prediction ...
The atmosphere has often been considered “chaotic” when in fact the “chaos” is a manifestation of th...
The prediction and simulation of future weather and climate is a key ingredient in good weather risk...
Predictability is considered in the context of the seamless weather-climate prediction problem, and ...