Application of observability Gramian to targeted observation in WRF data assimilation
The optimal observation placement in weather forecast and research (WRF) data assimilation is investigated using a sensitivity analysis method. The method quantifies the sensitivity of observation location to assimilated results as an unobservability index. The empirical observability Gramian matrix...
Main Authors: | Ryoichi Yoshimura, Aiko Yakeno, Takashi Misaka, Shigeru Obayashi |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2020-01-01
|
Series: | Tellus: Series A, Dynamic Meteorology and Oceanography |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/16000870.2019.1697602 |
Similar Items
-
Aerosol data assimilation and forecasting experiments using aircraft and surface observations during CalNex
by: Zengliang Zang, et al.
Published: (2016-06-01) -
Improvement of mesoscale numerical weather prediction WRF-ARW in the Republic of Belarus by assimilation of radar wind and reflectivity data
by: Palina A. Zaiko, et al.
Published: (2020-12-01) -
Numerical simulation of rainfall with assimilation of conventional and GPS observations over north of Iran
by: Mohammad Ali Sharifi, et al.
Published: (2016-07-01) -
PODEn4DVar-based radar data assimilation scheme: formulation and preliminary results from real-data experiments with advanced research WRF (ARW)
by: Bin Zhang, et al.
Published: (2015-02-01) -
Effect of the Assimilation Frequency of Radar Reflectivity on Rain Storm Prediction by Using WRF-3DVAR
by: Yuchen Liu, et al.
Published: (2021-05-01)