## Abstract We review the limits of 4D‐Var, particularly its ability to work well for a wide range of scales, and discuss the relationship to the atmospheric butterfly effect. As a concrete example, we consider how 4D‐Var might be applied to a global, convective‐scale model. Deterministic 4D‐Var, f
✦ LIBER ✦
The effect of a surface data assimilation technique and the traditional four-dimensional data assimilation on the simulation of a monsoon depression over India using a mesoscale model
✍ Scribed by Vinodkumar; A. Chandrasekar; K. Alapaty; D. S. Niyogi
- Publisher
- Springer Netherlands
- Year
- 2007
- Tongue
- English
- Weight
- 954 KB
- Volume
- 42
- Category
- Article
- ISSN
- 0921-030X
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
4D-Var and the butterfly effect: Statist
✍
Andrew C. Lorenc; Tim Payne
📂
Article
📅
2007
🏛
John Wiley and Sons
🌐
English
⚖ 163 KB
The Assimilation of GPS Radio Occultatio
✍
Ching-Yuang Huang; Ying-Hwa Kuo; Shu-Ya Chen; Anisetty S. K. A. V. Prasad Rao; C
📂
Article
📅
2007
🏛
Springer
🌐
English
⚖ 913 KB
Three-dimensional variational data assim
✍
M. Pagowski; G. A. Grell; S. A. McKeen; S. E. Peckham; D. Devenyi
📂
Article
📅
2010
🏛
John Wiley and Sons
🌐
English
⚖ 997 KB
## Abstract In operational air‐quality forecasting, initial concentrations of chemical species are often obtained using previous‐day forecasts with limited or no account for the observations. In this article we assess the role that assimilation of surface measurements of ozone and fine aerosols can