𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Dynamics, statistics and predictability of a simple limited-area forecasting model

✍ Scribed by F. CHOMÉ; S. VANNITSEM; C. NICOLIS


Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
169 KB
Volume
51
Category
Article
ISSN
0280-6495

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Parallelization and performance of a met
✍ M Marrocu; R Scardovelli; P Malguzzi 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 195 KB

We have developed a parallel implementation of a meteorological limited area model using a standard domain decomposition technique. Several communication strategies and message-passing libraries are compared. Results are presented for low, medium and high spatial resolutions. A good performance is o

A limited area nested numerical weather
✍ D. J. Gauntlett; L. M. Leslie; J. L. McGregor; D. R. Hincksman 📂 Article 📅 1978 🏛 John Wiley and Sons 🌐 English ⚖ 767 KB

## Abstract A limited area, six‐level, primitive equations numerical weather prediction model has been developed to provide improved 24‐ to 36‐hour forecasts for the Australian region. Important features of the model include semi‐implicit time differencing, and a nesting procedure which enables bou

Models of the predictability of a simple
✍ Manuel Pulido 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 775 KB

## Abstract Chaotic nonlinear low order systems are often regarded as paradigms of the atmospheric behaviour, not least because of their limited predictability. In this paper, the predictability of a forced nonlinear system proposed by Lorenz is examined. The system is a compelling heuristic model

A comparison of forecast performance bet
✍ Rochelle M. Edge; Michael T. Kiley; Jean-Philippe Laforte 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 340 KB

## Abstract This paper considers the ‘real‐time’ forecast performance of the Federal Reserve staff, time‐series models, and an estimated dynamic stochastic general equilibrium (DSGE) model—the Federal Reserve Board's Estimated, Dynamic, Optimization‐based (Edo) model. We evaluate forecast performan