A method for improving weather and climate forecast skill has been developed. It is called a superensemble, and it arose from a study of the statistical properties of a low-order spectral model. Multiple regression was used to determine coefficients from multimodel forecasts and observations. The co
β¦ LIBER β¦
Improved Weather and Seasonal Climate Forecasts from Multimodel Superensemble
β Scribed by Krishnamurti, T. N.
- Book ID
- 121001228
- Publisher
- American Association for the Advancement of Science
- Year
- 1999
- Tongue
- English
- Weight
- 168 KB
- Volume
- 285
- Category
- Article
- ISSN
- 0036-8075
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Improved Weather and Seasonal Climate Fo
β
Krishnamurti, T. N.
π
Article
π
1999
π
American Association for the Advancement of Scienc
π
English
β 168 KB
Multimodel Ensemble Forecasts for Weathe
β
Krishnamurti, T. N.; Kishtawal, C. M.; Zhang, Zhan; LaRow, Timothy; Bachiochi, D
π
Article
π
2000
π
American Meteorological Society
π
English
β 833 KB
A multi-model superensemble algorithm fo
β
W. T. YUN; L. STEFANOVA; A. K. MITRA; T. S. V. VIJAYA KUMAR; W. DEWAR; T. N. KRI
π
Article
π
2005
π
John Wiley and Sons
π
English
β 521 KB
Interpretation of Seasonal Climate Forec
β
Stefanova, L.; Krishnamurti, T. N.
π
Article
π
2002
π
American Meteorological Society
π
English
β 376 KB
Weather and climate controls over the se
β
JIA HU; DAVID J. P. MOORE; RUSSELL K. MONSON
π
Article
π
2009
π
John Wiley and Sons
π
English
β 557 KB
Assessment of numerical weather forecast
β
J. M. Edwards; J. R. McGregor; M. R. Bush; F. J. Bornemann
π
Article
π
2011
π
John Wiley and Sons
π
English
β 415 KB
## Abstract The performance of numerical weather forecasts made with the Met Office Unified Model is evaluated using nearβsurface measurements made at a comprehensively instrumented site over the course of the annual cycle, with the aim of characterizing the forecasting system's generic behaviour i