Journal
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
Volume 129, Issue 595, Pages 3183-3203Publisher
ROYAL METEOROLOGICAL SOC
DOI: 10.1256/qj.02.132
Keywords
error covariance modelling; numerical weather prediction
Categories
Ask authors/readers for more resources
The ensemble Kalman filter (EnKF) is reviewed for its expected assimilation characteristics and ease of implementation, and compared to the currently more popular four-dimensional variational assimilation (4D-Var). The EnKF is attractive when building a new medium-range ensemble numerical weather prediction (NWP) system. However it is less suitable for NWP systems with uncertainty in a wide range of scales; it may not use hieh-resolution satellite data as effectively as 4D-Var. For limited-area mesoscale NWP systems a hybrid method is attractive.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available