Data assimilation as statistical estimation. In data assimilation applications, the analysis and forecasts are best thought of as probability distributions.
A data assimilation system consists of three components: a set of observations, a dynamical model, and a data assimilation scheme or melding scheme.
A European project providing new developments in data assimilation for future operational forecasting and monitoring systems
Data Assimilation comprehensively covers data assimilation and inverse methods, including both traditional state estimation and parameter estimation. This
To make a forecast we need to know the current state of the atmosphere and the Earth's surface (land and oceans). The weather forecasts produced at ECMWF use data ...
Data assimilation (DA) is a technique by which numerical model data and observations are combined to obtain an analysis that best represents the state of the ...
Understanding Data Assimilation: How Models Create Their Initial Conditions. Languages: English, French; Publish Date: 2001-01-31; Retired Date: 2012-04-10; Reviews:
Data assimilation is a step for improving forecasting process by means of a weighted combination between observational and data from a mathetical model.
Assimilation of satellite-derived cloud cover into the regional atmospheric model system (RAMS) and its impacts on modeled surface fields
Data assimilation methods were largely developed for operational weather forecasting, but in recent years have been applied to an increasing range of