A posteriori diagnostics of the impact of observations on the AROME-France convective-scale data assimilation system

2013 ◽  
Vol 140 (680) ◽  
pp. 982-994 ◽  
Author(s):  
Pierre Brousseau ◽  
Gérald Desroziers ◽  
François Bouttier ◽  
Bernard Chapnik
Keyword(s):  
Data Assimilation ◽  
A Posteriori ◽  
Convective Scale ◽  
The Impact ◽  
Data Assimilation System ◽  
Scale Data ◽  
Assimilation System

Flow-dependent background-error covariances for a convective-scale data assimilation system

2011 ◽  
Vol 138 (663) ◽  
pp. 310-322 ◽  
Author(s):  
Pierre Brousseau ◽  
Loïk Berre ◽  
François Bouttier ◽  
Gérald Desroziers
Keyword(s):  
Data Assimilation ◽  
Background Error ◽  
Convective Scale ◽  
Data Assimilation System ◽  
Scale Data ◽  
Assimilation System

Background-error covariances for a convective-scale data-assimilation system: AROME-France 3D-Var

2011 ◽  
Vol 137 (655) ◽  
pp. 409-422 ◽  
Author(s):  
Pierre Brousseau ◽  
Loïk Berre ◽  
François Bouttier ◽  
Gérald Desroziers
Keyword(s):  
Data Assimilation ◽  
Background Error ◽  
Convective Scale ◽  
Data Assimilation System ◽  
Scale Data ◽  
Assimilation System

Development of a Mesoscale Ensemble Data Assimilation System at the Naval Research Laboratory

2013 ◽  
Vol 28 (6) ◽  
pp. 1322-1336 ◽  
Author(s):  
Qingyun Zhao ◽  
Fuqing Zhang ◽  
Teddy Holt ◽  
Craig H. Bishop ◽  
Qin Xu
Keyword(s):  
Data Assimilation ◽  
Research Laboratory ◽  
Localization Length ◽  
Naval Research Laboratory ◽  
Naval Research ◽  
Ensemble Size ◽  
The Impact ◽  
Data Assimilation System ◽  
Scale Data ◽  
Assimilation System

Abstract An ensemble Kalman filter (EnKF) has been adopted and implemented at the Naval Research Laboratory (NRL) for mesoscale and storm-scale data assimilation to study the impact of ensemble assimilation of high-resolution observations, including those from Doppler radars, on storm prediction. The system has been improved during its implementation at NRL to further enhance its capability of assimilating various types of meteorological data. A parallel algorithm was also developed to increase the system’s computational efficiency on multiprocessor computers. The EnKF has been integrated into the NRL mesoscale data assimilation system and extensively tested to ensure that the system works appropriately with new observational data stream and forecast systems. An innovative procedure was developed to evaluate the impact of assimilated observations on ensemble analyses with no need to exclude any observations for independent validation (as required by the conventional evaluation based on data-denying experiments). The procedure was employed in this study to examine the impacts of ensemble size and localization on data assimilation and the results reveal a very interesting relationship between the ensemble size and the localization length scale. All the tests conducted in this study demonstrate the capabilities of the EnKF as a research tool for mesoscale and storm-scale data assimilation with potential operational applications.

Assessment of the Impact of Simulated Satellite Lidar Wind and Retrieved 183 GHz Water Vapor Observations on a Global Data Assimilation System

1990 ◽  
Vol 118 (12) ◽  
pp. 2513-2542 ◽  
Author(s):  
Ross N. Hoffman ◽  
Christopher Grassotti ◽  
Ronald G. Isaacs ◽  
Jean-Francois Louis ◽  
Thomas Nehrkorn ◽  
...  
Keyword(s):  
Water Vapor ◽  
Data Assimilation ◽  
Global Data Assimilation System ◽  
The Impact ◽  
Data Assimilation System ◽  
Global Data ◽  
Assimilation System

scholarly journals SINGV‐DA: A data assimilation system for convective‐scale numerical weather prediction over Singapore

2020 ◽  
Vol 146 (729) ◽  
pp. 1923-1938 ◽  
Author(s):  
B. C. Peter Heng ◽  
Robert Tubbs ◽  
Xiang‐Yu Huang ◽  
Bruce Macpherson ◽  
Dale M. Barker ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Numerical Weather Prediction ◽  
Weather Prediction ◽  
Numerical Weather ◽  
Convective Scale ◽  
Data Assimilation System ◽  
Assimilation System
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