Data assimilation into nonlinear stochastic models
نویسندگان
چکیده
منابع مشابه
Stochastic Methods for Sequential Data Assimilation in Strongly Nonlinear Systems
This paper considers several filtering methods of stochastic nature, based on Monte Carlo drawing, for the sequential data assimilation in nonlinear models. They include some known methods such as the particle filter and the ensemble Kalman filter and some others introduced by the author: the second-order ensemble Kalman filter and the singular extended interpolated filter. The aim is to study ...
متن کاملInverse Methods and Data Assimilation in Nonlinear Ocean Models
Geir Evensen Nansen Environmental and Remote Sensing Center, Bergen, Norway Physica D, in press July 6, 1994
متن کاملAssimilation of DoD Sensor Data Into Operational Forecast Models
Remotely-sensed observations from satellites hold great promise for providing a wealth of hightemporal and spatial resolution data, particularly over the oceans. However, it has been very difficult for numerical weather prediction systems to show consistent, positive forecast improvement attributable to satellite retrievals obtained in the conventional manner. By developing techniques for the d...
متن کاملData assimilation for plume models
We use a four-dimensional variational data assimilation (4D-VAR) algorithm to observe the growth of 2-D plumes from a point heat source. In order to test the predictability of the 4D-VAR technique for 2-D plumes, we perturb the initial conditions and compare the resulting predictions to the predictions given by a direct numerical simulation (DNS) without any 4D-VAR correction. We have studied p...
متن کاملMODELS Data Assimilation ( Physical / Interdisciplinary )
Data assimilation is a novel, versatile methodology for estimating oceanic variables. The estimation of a quantity of interest via data assimilation involves the combination of observational data with the underlying dynamical principles governing the system under observation. The melding of data and dynamics is a powerful methodology which makes possible efRcient, accurate, and realistic estima...
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: Tellus A
سال: 1999
ISSN: 0280-6495,1600-0870
DOI: 10.1034/j.1600-0870.1999.t01-2-00002.x