๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Modeling and prediction of environmental data in space and time using Kalman filtering

โœ Scribed by A. W. Heemink; A. J. Segers


Publisher
Springer
Year
2002
Tongue
English
Weight
265 KB
Volume
16
Category
Article
ISSN
1436-3240

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Spaceโ€“time modeling of rainfall data
โœ Luis Guillermo Coca Velarde; Hรฉlio S. Migon; Basilio de B. Pereira ๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 206 KB
Comparison of extended and ensemble Kalm
โœ H. Madsen; R. Caรฑizares ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 242 KB ๐Ÿ‘ 2 views

Data assimilation in a two-dimensional hydrodynamic model for bays, estuaries and coastal areas is considered. Two different methods based on the Kalman filter scheme are presented. These include (1) an extended Kalman filter in which the error covariance matrix is approximated by a matrix of reduce