Hybrid Levenberg–Marquardt and weak-constraint ensemble Kalman smoother method

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Hybrid Levenberg–Marquardt and weak-constraint ensemble Kalman smoother method

The ensemble Kalman smoother (EnKS) is used as a linear least-squares solver in the Gauss–Newton method for the large nonlinear least-squares system in incremental 4DVAR. The ensemble approach is naturally parallel over the ensemble members and no tangent or adjoint operators are needed. Furthermore, adding a regularization term results in replacing the Gauss–Newton method, which may diverge, b...

متن کامل

The Analog Ensemble Kalman Filter and Smoother

In classical data assimilation using sequential Monte Carlo methods, a physical model is run at each time steps to simulate members corresponding to different forecast scenarios. In this paper, we propose to use statistical analogs provided by observational or model-simulated data to emulate the dynamical model and generate relevant forecast members. This new methodology is called AnEnKF/AnEnFS...

متن کامل

An Ensemble Kalman Smoother for Nonlinear Dynamics

It is formally proved that the general smoother for nonlinear dynamics can be formulated as a sequential method, that is, observations can be assimilated sequentially during a forward integration. The general filter can be derived from the smoother and it is shown that the general smoother and filter solutions at the final time become identical, as is expected from linear theory. Then, a new sm...

متن کامل

An Ensemble Kalman Filter and Smoother for Satellite Data Assimilation

This paper proposes a methodology for combining satellite images with advection-diffusion models for interpolation and prediction of environmental processes. We propose a dynamic state-space model and an ensemble Kalman filter and smoothing algorithm for on-line and retrospective state estimation. Our approach addresses the high dimensionality, measurement bias, and nonlinearities inherent in s...

متن کامل

The Iterative Ensemble Kalman Smoother: the Best of Both Worlds?

Data assimilation seeks a mathematically optimal compromise between outcomes of a numerical model that simulates a physical system and observations of that system. It has been successfully used for twenty years in operational meteorology to perform the best forecast, and is now being used or tested in many geoscience fields. Two main classes of methods have taken the lead. Firstly, 4D-Var is a ...

متن کامل

ذخیره 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: Nonlinear Processes in Geophysics

سال: 2016

ISSN: 1607-7946

DOI: 10.5194/npg-23-59-2016