4DVAR

AcronymDefinition
4DVARFour-Dimensional Variational Data Assimilation
References in periodicals archive ?
Studies suggest that this problem may, in principle, be solved by 4DVar (Lorenc and Payne 2007) and EnKF (Snyder and Zhang 2003).
SCIENTIFIC CHALLENGES OF CONVECTIVE-SCALE NUMERICAL WEATHER PREDICTION: Numerical weather prediction models are increasing in resolution and becoming capable of explicitly representing individual convective storms, but we do not yet know if it is the improved resolution that is leading to better forecasts
The basic principle of 3DVAR and 4DVAR is to avoid the explicit calculation of the gain matrix and make its inversion by using a minimization procedure of the cost function.
Random Finite Set Based Data Assimilation for Dynamic Data Driven Simulation of Maritime Pirate Activity
Four-dimensional variational data assimilation (4DVar) is one of the most promising methods for providing optimal analyses of numerical weather predictions.
GPS Radio Occultation Data Assimilation in the AREM Regional Numerical Weather Prediction Model for Flood Forecasts
2001, 2004), to constrain the assimilation of cloud-affected infrared sounder channels in 4DVAR. In a similar vein, McNally (2009) has introduced an operational analysis scheme using cloud-affected radiances to good effect by extending the 4DVAR analysis control to include parameters that describe the cloud conditions and simultaneously to estimate these parameters together with temperature and humidity.
SATELLITE-BASED ATMOSPHERIC INFRARED SOUNDER DEVELOPMENT AND APPLICATIONS: A history of the meteorological satellite-based atmospheric sounder development and applications is presented and discussed
Based on the RTP derived by the extending algorithm of Argo temperature profile, more temperature information of the surroundings is obtained and would benefit the T-S assimilation with more "observations." To validate this, an experiment focusing on the T-S assimilation is conducted based on the ROMS and 4DVAR. Respectively, the Argo profile and RTP are assimilated, and then the results are evaluated by EN4.
An Efficient T-S Assimilation Strategy Based on the Developed Argo-Extending Algorithm
The use of the 3DVAR technique to study this case was chosen over the EnKF or 4DVAR techniques because the 3DVAR technique is not computationally costly and has shown good results in other related studies [18, 20, 21].
Analysis and forecast of a tornadic thunderstorm using multiple doppler radar data, 3DVAR, and ARPS model
Zheng, "Dynamical and microphysical retrieval from simulated Doppler radar observations using the 4DVAR assimilation technique," Acta Meteorologica Sinica, vol.
Impact of 3DVAR data assimilation on the prediction of heavy rainfall over Southern China
* Data assimilation schemes vary among ocean forecasting groups, ranging from Ensemble Optimum Interpolation (EnOI) and Ensemble Kalman Filter (EnKF) to three--and four-dimensional variational methods (3DVar and 4DVar).
Better informed marine operations and management: multidisciplinary efforts in ocean forecasting research for socioeconomic benefit
Prior to 2012, the operational data assimilation system at NOAA was dominated by the three-dimensional variational data assimilation (3DVAR) technique, while other operational centers in the world had transitioned to more advanced techniques [e.g., 4DVAR for the European Centre for Medium-Range Weather Forecasts (ECMWF; Mahfouf and Rabier 2000); hybrid ensemble-variational (EnVar) technique for the Met Office (Clayton et al.
Bridging research to operations transitions: status and plans of community GSI
Andersson, 2003: Use and impact of automated aircraft data in a global 4DVAR data assimilation system.
On the impact and benefits of AMDAR observations in operational forecasting: Part I: a review of the impact of automated aircraft wind and temperature reports
Observations used by the VDRAS four-dimensional variational data assimilation (4DVar) system include radar radial velocity and reflectivity from NWS radars located in Denver (KFTG) and in Cheyenne, Wyoming (KCYS) and surface data from surface meteorological stations in the Rocky Mountain Front Range region.
The great Colorado flood of September 2013: a detailed overview of the uncharacteristic meteorological conditions that caused tropical-like, widespread, heavy rainfall and catastrophic flooding across the Colorado Front Range in September 2013
We investigate the possibility that model error can be wrongly interpreted as an error in the forward model for satellite radiance using the four-dimensional variational data assimilation (4DVar) of the European Centre for Medium-Range Weather Forecasts (ECMWF).
Leveraging highly accurate data in diagnosing errors in atmospheric models
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