Abstract: he disadvantage of the majority of data assimilation schemes is the assumption that the conditional probability density function of the state of the system given the observations [posterior probability density function ...

Abstract: This paper presents a first attempt to estimate mixing parameters from sea level observations using a particle method based on importance sampling. The method is applied to an ensemble of 128 members of model simulations ...

Abstract: he authors thank Nof et al. for their comments on the authors? paper ?On the steadiness of separating meandering currents.? The authors? paper was motivated by a series of papers by Nof et al. Under a certain set of ...

Abstract: This paper discusses an important issue related to the implementation and interpretation of the analysis scheme in the ensemble Kalman filter. It is shown that the observations must be treated as random variables at the ...

Abstract: ccurate and reliable rain rate estimates are important for various hydrometeorological applications. Consequently, rain sensors of different types have been deployed in many regions. In this work, measurements from different ...