Technique for updating numerical model with observed data
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Data assimilation is a mathematical discipline that seeks to optimally combine theory (usually in the form of a numerical model) with observations. There may be a number of different goals sought – for example, to determine the optimal state estimate of a system, to determine initial conditions for a numerical forecast model, to interpolate sparse observation data using (e.g. physical) knowledge of the system being observed, to set numerical parameters based on training a model from observed data. Depending on the goal, different solution methods may be used. Data assimilation is distinguished from other forms of machine learning, image analysis, and statistical methods in that it utilizes a dynamical model of the system being analyzed.
Data assimilation initially developed in the field of numerical weather prediction. Numerical weather prediction models are equations describing the dynamic behavior of the atmosphere, typically coded into a computer program. In order to use these models to make forecasts, initial conditions are needed for the model that closely resemble the current state of the atmosphere. Simply inserting point-wise measurements into the numerical models did not provide a satisfactory solution. Real world measurements contain errors both due to the quality of the instrument and how accurately the position of the measurement is known. These errors can cause instabilities in the models that eliminate any level of skill in a forecast. Thus, more sophisticated methods were needed in order to initialize a model using all available data while making sure to maintain stability in the numerical model. Such data typically includes the measurements as well as a previous forecast valid at the same time the measurements are made. If applied iteratively, this process begins to accumulate information from past observations into all subsequent forecasts.
Because data assimilation developed out of the field of numerical weather prediction, it initially gained popularity amongst the geosciences. In fact, one of the most cited publication in all of the geosciences is an application of data assimilation to reconstruct the observed history of the atmosphere.[1]
^Kalnay, Eugenia; and coauthors (1996). "The NCEP/NCAR 40-Year Reanalysis Project". Bulletin of the American Meteorological Society. 77 (March): 437–471. Bibcode:1996BAMS...77..437K. doi:10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2. ISSN 1520-0477. S2CID 124135431.
Dataassimilation is a mathematical discipline that seeks to optimally combine theory (usually in the form of a numerical model) with observations. There...
Look up assimilation or assimilate in Wiktionary, the free dictionary. Assimilation or Assimilate may refer to: Cultural assimilation, the process whereby...
well known. Dataassimilation methods allow the models to incorporate later observations to improve the initial conditions. Dataassimilation plays an increasingly...
by Barovik D.V. and Taranchuk V.B. Dataassimilation periodically adjusts the model state to incorporate new data using statistical methods. Because fire...
required for running weather forecast models, a procedure known as dataassimilation. The 'forecast error covariance matrix' is typically constructed between...
The Simple Ocean DataAssimilation (SODA) analysis is an oceanic reanalysis data set consisting of gridded state variables for the global ocean, as well...
is replaced by the sample covariance), and it is now an important dataassimilation component of ensemble forecasting. EnKF is related to the particle...
historical estimates of surface winds, heat, and freshwater, by way of a dataassimilation algorithm to reconstruct historical changes in the state of the ocean...
acronym in deaf culture for a person with a deaf sibling Simple Ocean DataAssimilation, a reanalysis project Soda gun, a device used by bars to serve carbonated...
development, dataassimilation, model validation, and relevant case studies. This includes papers on numerical techniques and dataassimilation techniques...
Forced assimilation is the involuntary cultural assimilation of religious or ethnic inferior groups, during which they are forced by a government to adopt...
in dataassimilation and modeling. In support of the NCEP operational forecasting mission, the EMC develops, improves and monitors dataassimilation systems...
instrumentation, this was also adopted later by the DataAssimilation concept, for example, the DataAssimilation and Adaptive Observation, MIT Thesis in 1999...
These observations are irregularly spaced, so they are processed by dataassimilation and objective analysis methods, which perform quality control and...
WRF features two dynamical (computational) cores (or solvers), a dataassimilation system, and a software architecture allowing for parallel computation...
are initialized using this observed data. The irregularly spaced observations are processed by dataassimilation and objective analysis methods, which...
the new treatment (for example, a new kind of technique such as dataassimilation which combined numerical analysis and statistics) needing conversely...
a founder of theoretical climate dynamics, as well as of advanced dataassimilation methodology. He has systematically applied dynamical systems theory...
Dover. pp. 160–176. ISBN 0-486-44538-0. "DataAssimilation: Observation influence diagnostic of a dataassimilation system" (PDF). Archived from the original...
methods for prediction in the face of uncertainty and for filtering and dataassimilation. Chorin was born on 25 June 1938 in Warsaw, Poland. Born just one...
a meteorological and climate dataassimilation project which aims to assimilate historical atmospheric observational data spanning an extended period,...
Knopfmeier, Kent H.; Wheatley, Dustan M. (2015-08-01). "Storm-Scale DataAssimilation and Ensemble Forecasts for the 27 April 2011 Severe Weather Outbreak...
foundation of EnKF dataassimilation in a solar dynamo model. This work demonstrates how the combination of model, observations and dataassimilation can reconstruct...
cause chaotic behavior. It is commonly used as a model problem in dataassimilation. from scipy.integrate import odeint import matplotlib.pyplot as plt...
ISSN 1099-1085. Jim E Freer, Keith J Beven(2001). Equifinality, dataassimilation, and uncertainty estimation in mechanistic modelling of complex environmental...
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