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標(biāo)題: Titlebook: Data Assimilation; The Ensemble Kalman Geir Evensen Book 2009Latest edition Springer-Verlag Berlin Heidelberg 2009 Data assimilation.Ensem [打印本頁]

作者: Eschew    時間: 2025-3-21 16:06
書目名稱Data Assimilation影響因子(影響力)




書目名稱Data Assimilation影響因子(影響力)學(xué)科排名




書目名稱Data Assimilation網(wǎng)絡(luò)公開度




書目名稱Data Assimilation網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data Assimilation被引頻次




書目名稱Data Assimilation被引頻次學(xué)科排名




書目名稱Data Assimilation年度引用




書目名稱Data Assimilation年度引用學(xué)科排名




書目名稱Data Assimilation讀者反饋




書目名稱Data Assimilation讀者反饋學(xué)科排名





作者: 清真寺    時間: 2025-3-21 23:40

作者: 聯(lián)想記憶    時間: 2025-3-22 02:06

作者: 巡回    時間: 2025-3-22 05:38

作者: seduce    時間: 2025-3-22 11:08
on for any discipline where dynamics is merged with measurem.Data Assimilation comprehensively covers data assimilation and inverse methods, including both traditional state estimation and parameter estimation. This text and reference focuses on various popular data assimilation methods, such as wea
作者: 情感脆弱    時間: 2025-3-22 13:03

作者: 情感脆弱    時間: 2025-3-22 20:46
Numa Markee,Olcay Sert,Silvia Kunitze formulation for the combined parameter and state estimation problem starting from Bayes’ theorem. Further, the resulting Euler–Lagrange equations are derived and we discuss some solution methods which also allow for the estimation of poorly known model parameters.
作者: Vertical    時間: 2025-3-22 23:09

作者: glamor    時間: 2025-3-23 05:05
Intercultural Teaching in the Polish Context measurements is avoided. The square root methods are intuitively very appealing but there are also some pitfalls as pointed out by . (2004) and .. (2005). See also the papers by . (2008) and .. (2008) for a revised interpretation and mathematical analysis of the square root schemes.
作者: separate    時間: 2025-3-23 07:52

作者: 輕而薄    時間: 2025-3-23 13:10
Lefort as Phenomenologist of the Political Optimally, it could be used for predicting the future production and to assist in the planning of new production and injection wells. A better model also provides insight and understanding regarding the properties of the reservoir.
作者: 茁壯成長    時間: 2025-3-23 14:25
Introduction,en if the model is a perfect representation of reality, its solution will not describe reality unless we have perfect knowledge about the initial and boundary conditions which are often difficult to prescribe with high accuracy.
作者: avarice    時間: 2025-3-23 22:05
Generalized Inverse,e formulation for the combined parameter and state estimation problem starting from Bayes’ theorem. Further, the resulting Euler–Lagrange equations are derived and we discuss some solution methods which also allow for the estimation of poorly known model parameters.
作者: Freeze    時間: 2025-3-24 01:24
Sampling strategies for the EnKF,y . (2002) and . (1999) for further information. It is also shown that by selecting the initial ensemble, the model noise and the measurement perturbations wisely, it is possible to achieve a significant improvement in the EnKF results, without increasing the size of the ensemble.
作者: SOBER    時間: 2025-3-24 03:29

作者: optional    時間: 2025-3-24 08:59
An ocean prediction system,EA” integrated system, and being one of the contributors to the international Global Ocean Data Assimilation Experiment (GODAE). The system is based on the latest scientific developments in terms of ocean modelling with the Hybrid Coordinate Ocean Model (HYCOM) and data assimilation with the EnKF.
作者: maculated    時間: 2025-3-24 11:15

作者: 共同確定為確    時間: 2025-3-24 17:16

作者: metropolitan    時間: 2025-3-24 23:04

作者: Pelvic-Floor    時間: 2025-3-25 00:11

作者: 盡管    時間: 2025-3-25 07:00

作者: 故意    時間: 2025-3-25 09:06
Analysis scheme,is particular time. It is assumed that error statistics of the model prediction as well as the measurements are known and characterized by the respective error covariances. Based on this information the so-called analysis scheme used in linear data assimilation methods is presented in some detail. F
作者: AND    時間: 2025-3-25 14:00

作者: Free-Radical    時間: 2025-3-25 17:06
Nonlinear variational inverse problems,odels will be treated extensively in the following chapters, but an introduction is in place here. The focus will be on some highly nonlinear problems which cannot easily be solved using the representer method. Examples are given were instead, so-called direct minimization methods are used.
作者: 消息靈通    時間: 2025-3-25 22:17
Probabilistic formulation,sent a mathematically and statistically consistent formulation of the combined parameter and state estimation problem. The starting point is Bayes’ theorem which defines the posterior probability density function of the poorly known parameters and the model solution conditioned on a set of observati
作者: 擔(dān)憂    時間: 2025-3-26 01:59
Generalized Inverse,ian statistics for the priors. This was previously demonstrated by . (1996) using the results from . (1970). We will now derive the generalized inverse formulation for the combined parameter and state estimation problem starting from Bayes’ theorem. Further, the resulting Euler–Lagrange equations ar
作者: Fantasy    時間: 2025-3-26 06:22
Ensemble methods,KF). They belong to a general class of so-called particle methods which use a Monte Carlo or ensemble representation for the pdfs, an ensemble integration using stochastic models to model the time evolution of the pdfs, and different schemes for conditioning the predicted pdf given the observations.
作者: 抱狗不敢前    時間: 2025-3-26 12:20
Statistical optimization,elihood estimate. Many solution methods, e.g. gradient methods, search only for the minimum of the cost function, and do not provide information about the uncertainty of the solution. The uncertainty can be estimated using statistical sampling based on the Metropolis or hybrid Monte Carlo methods fr
作者: 地殼    時間: 2025-3-26 14:29

作者: parasite    時間: 2025-3-26 18:05

作者: Indecisive    時間: 2025-3-26 21:24
Rank issues,ber of members in the ensemble or when the matrix . for some reason has poor conditioning. In this chapter we will discuss these difficulties and propose algorithms that still makes it possible to use the EnKF analysis schemes in cases with poor conditioning. Thus, we provide an extended discussion
作者: 閑逛    時間: 2025-3-27 03:17

作者: 發(fā)起    時間: 2025-3-27 08:23

作者: ADJ    時間: 2025-3-27 09:43
Estimation in an oil reservoir simulator,d to improve the predictive capability of the models. There are economical benefits of obtaining a model which best possible represents the reservoir. Optimally, it could be used for predicting the future production and to assist in the planning of new production and injection wells. A better model
作者: 知識    時間: 2025-3-27 13:35

作者: Ibd810    時間: 2025-3-27 20:05

作者: 嚙齒動物    時間: 2025-3-28 00:20

作者: Charlatan    時間: 2025-3-28 04:06
Statistical definitions,Basic statistical definitions which will be used in the following chapters are explained. The following is only meant to be a quick reference on statistical notation and definitions and more elaborate textbooks can be used for a comprehensive introduction to the subject.
作者: 可轉(zhuǎn)變    時間: 2025-3-28 07:07

作者: PSA-velocity    時間: 2025-3-28 10:59
Model errors,We will now discuss the use of model errors in the ensemble and representer methods. A particular focus will be on the impact of time-correlated model errors. A simple scalar equation is used to illustrate the use of the ensemble and the representer methods for combined parameter and state estimation in this case.
作者: 煤渣    時間: 2025-3-28 17:23
Classrooms as Formal Contexts for Learningal processes. In many cases the model excludes several processes or scales which are believed to have less importance for the applications at hand. Even if the model is a perfect representation of reality, its solution will not describe reality unless we have perfect knowledge about the initial and
作者: DRAFT    時間: 2025-3-28 20:27

作者: 防御    時間: 2025-3-28 23:50

作者: Abutment    時間: 2025-3-29 05:46
https://doi.org/10.1007/978-3-319-30373-4odels will be treated extensively in the following chapters, but an introduction is in place here. The focus will be on some highly nonlinear problems which cannot easily be solved using the representer method. Examples are given were instead, so-called direct minimization methods are used.
作者: Conserve    時間: 2025-3-29 10:56

作者: 點(diǎn)燃    時間: 2025-3-29 11:33
Numa Markee,Olcay Sert,Silvia Kunitzian statistics for the priors. This was previously demonstrated by . (1996) using the results from . (1970). We will now derive the generalized inverse formulation for the combined parameter and state estimation problem starting from Bayes’ theorem. Further, the resulting Euler–Lagrange equations ar
作者: 致命    時間: 2025-3-29 16:15
Numa Markee,Silvia Kunitz,Olcay SertKF). They belong to a general class of so-called particle methods which use a Monte Carlo or ensemble representation for the pdfs, an ensemble integration using stochastic models to model the time evolution of the pdfs, and different schemes for conditioning the predicted pdf given the observations.
作者: corporate    時間: 2025-3-29 23:32
https://doi.org/10.1007/978-3-030-52193-6elihood estimate. Many solution methods, e.g. gradient methods, search only for the minimum of the cost function, and do not provide information about the uncertainty of the solution. The uncertainty can be estimated using statistical sampling based on the Metropolis or hybrid Monte Carlo methods fr
作者: Favorable    時間: 2025-3-30 00:56

作者: Brittle    時間: 2025-3-30 07:07
Intercultural Teaching in the Polish Context01), the review by .. (2003), and the paper by . (2004), have developed “square root” implementations of the analysis scheme where the perturbation of measurements is avoided. The square root methods are intuitively very appealing but there are also some pitfalls as pointed out by . (2004) and .. (2
作者: TSH582    時間: 2025-3-30 09:14
https://doi.org/10.1007/978-3-319-00188-3ber of members in the ensemble or when the matrix . for some reason has poor conditioning. In this chapter we will discuss these difficulties and propose algorithms that still makes it possible to use the EnKF analysis schemes in cases with poor conditioning. Thus, we provide an extended discussion
作者: Aspiration    時間: 2025-3-30 12:51
https://doi.org/10.1007/978-94-009-5376-5ng spatial distances or between variables known to be uncorrelated. The spurios correlations imply that variables that are supposed to be uncorrelated with an observation, experience a small unphysical update. Over time and with many data, the spurious updates may cancel out and the drift in the mea
作者: PALL    時間: 2025-3-30 16:58

作者: follicle    時間: 2025-3-30 21:10

作者: Nausea    時間: 2025-3-31 00:51
Anna Mystkowska-Wiertelak,Miros?aw Pawlakary to the sequential methods which update the model solution every time observations are available, variational methods seek an estimate in space and time where the estimate at a particular time is dependent on both past and future measurements.
作者: Console    時間: 2025-3-31 08:30

作者: gratify    時間: 2025-3-31 10:58

作者: 怒目而視    時間: 2025-3-31 16:10

作者: 軟膏    時間: 2025-3-31 21:18

作者: 信徒    時間: 2025-3-31 22:47
http://image.papertrans.cn/d/image/262721.jpg
作者: TERRA    時間: 2025-4-1 03:43
https://doi.org/10.1007/978-3-642-03711-5Data assimilation; Ensemble Kalman Filter; Ensemble Kalman Smoother; Measure; bayesian statistics; invers
作者: antidote    時間: 2025-4-1 06:20
978-3-642-42476-2Springer-Verlag Berlin Heidelberg 2009




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