Variational Assimilation of Precipitation Data and Gravity Wave Excitation
نویسندگان
چکیده
منابع مشابه
A review of operational methods of variational and ensemble-variational data assimilation: Ensemble-variational data assimilation
Variational and ensemble methods have been developed separately by various research and development groups and each brings its own benefits to data assimilation. In the last decade or so, various ways have been developed to combine these methods, especially with the aims of improving the background-error covariance matrices and of improving efficiency. The field has become confusing, even to ma...
متن کاملAdjoint-Free Variational Data Assimilation into a Regional Wave Model
A variational data assimilation algorithm is developed for the ocean wave prediction model [Wave Model (WAM)]. The algorithm employs the adjoint-free technique and was tested in a series of data assimilation experiments with synthetic observations in the Chukchi Sea region from various platforms. The types of considered observations are directional spectra estimated from point measurements by s...
متن کاملVariational Data Assimilation : Optimization and Optimal Control
In the last few years due to a constant increase in the need for more precise forecasting and nowcasting, several important developments have taken place in meteorology directed mainly in two different directions: modeling at either large scale or at smaller scales to include an ever increasing number of physical processes and parametrization of subgrid phenomena and adding new sources of data ...
متن کاملCombining ensemble and variational data assimilation
The primary objective of this work is to develop an ocean data assimilation system that exploits the strengths of both the ensemble-based (e.g., Evensen 2003; Houtekamer and Mitchell 1998; Tippett et al. 2003) and variational (e.g., Bennett 2002) approaches to data assimilation. The first step in this project is to perform a comprehensive inter-comparison of an ensemble-based data assimilation ...
متن کاملMesoscale Variational Assimilation of Profiling Radiometer Data
Retrieved profiles of temperature, water vapor, and cloud liquid water are obtained through neural net inversions of the brightness temperatures, where the neural net is trained using radiosonde soundings and corresponding forward modeled brightness temperatures. An observation operator has also been developed for the direct assimilation of the measured brightness temperatures, using the forwar...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Monthly Weather Review
سال: 2002
ISSN: 0027-0644,1520-0493
DOI: 10.1175/1520-0493(2002)130<0357:vaopda>2.0.co;2