Data assimilation
Data assimilation is a mathematical discipline that seeks to optimally combine theory (usually in the form of a numerical model) with observations. ... Depending ...
What is data assimilation? - DARC - Research - University of Reading
Data assimilation is the science of combining different sources of information to estimate possible states of a system as it evolves in time. Often only one ...
Data Assimilation ... Data assimilation (DA) is a technique by which numerical model data and observations are combined to obtain an analysis that best represents ...
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 ...
Data Assimilation - an overview | ScienceDirect Topics
Data assimilation is a powerful technique which has been widely applied in investigations of the atmosphere, ocean, and land surface.
Thus data is assimilated into the model predictions and hence the name. Data as- similation is potentially one of the most useful data-driven modeling ...
Data assimilation and its applications | PNAS
Data assimilation plays a more and more important role in numerical weather prediction, and it is considered as a frontier branch of atmospheric and oceanic ...
Global Data Assimilation System (GDAS)
NCEP uses the Global Data Assimilation System (GDAS) to interpolate data from a variety of observing systems and instruments onto a three-dimensional grid.
Land Data Assimilation System | LDAS
Land Data Assimilation Systems use sophisticated numerical models of physical processes to integrate data from multiple ground and space based observing systems ...
Data Assimilation Concepts and Methods | ECMWF
Basic concepts of data assimilation; The state vector, control space and observations; The modelling of errors; Statistical interpolation with least-squares ...
Data Assimilation: Methods, Algorithms, and Applications. Front Matter. Authors: Mark Asch, Marc Bocquet, and Maëlle Nodet.
Land Data Assimilation: Harmonizing Theory and Data in Land ...
The quest for model uncertainty quantification: A hybrid ensemble and variational data assimilation framework. Water Resources Research, 55(3), 2407–2431.
Welcome to the Data Assimilation Research Testbed — DART 11.8 ...
The Data Assimilation Research Testbed (DART) is an open-source, freely available community facility for ensemble data assimilation (DA). [1] DART is developed ...
Data assimilation in atmospheric chemistry models - ACP - Recent
Data assimilation is used in atmospheric chemistry models to improve air quality forecasts, construct re-analyses of concentrations, and perform inverse ...
OVERVIEW OF DATA ASSIMILATION ... Data assimilation is a novel, versatile methodology for estimating oceanic variables. The estimation of a quantity of interest ...
Statistical Methods & Data Assimilation
Research at Climate & Space involves both the development of new data assimilation techniques, as well as use of proven statistical methods. We evaluate models, ...
A Bayesian tutorial for data assimilation - ScienceDirect
This article includes a brief introduction to Bayesian methods. Paying particular attention to data assimilation, we review linkages to optimal interpolation.
DART | The Data Assimilation Research Testbed
Data assimilation for the entire earth system. Use ensemble DA techniques with geophysical models spanning the earth system.
Wetter und Klima - Deutscher Wetterdienst - Data Assimilation
Data assimilation employs a large number of direct and indirect observations of the atmosphere and the earth's surface in combination with calculated model ...
Technical note: Data assimilation and autoregression for using near ...
In this paper, we compare two strategies for ingesting near-real-time streamflow observations into long short-term memory (LSTM) rainfall–runoff ...