Assimilation of Data into Models
Data assimilation for plume models
... * now at: Department of Earth and Space Sciences, University of Washington, Seattle, Washington, USA Received: 9 August 2004 – Revised: 7 December 2004 – Accepted: 8 December 2004 – Published: 9 February 2005 Abstract. ...
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Pseudo-orbit data assimilation. Part II : assimilation with imperfect models.
... Following Judd and Smith (2004), two types of model inadequacy are distinguished. One is structural inadequacy; the other is ignored-subspace inadequacy. For each type of model inadequacy, a system–model pair is designed ...
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Identifying errors in dust models from data assimilation
... 2. Model and Data We use a global configuration of the Met Office Unified Model (MetUM). The MetUM has a nonhydrostatic, fully compressible, deep-atmosphere dynamical core, solved with a semi-implicit semi-Lagrangian ...
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Real-time Data Assimilation in Urban Rainfall-runoff Models
... of data assimilation procedures to map observation information to state ...rainfall-runoff models, in comparison to natural runoff systems, where data assimilation methods have been ...
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Real-time data assimilation in urban rainfall-runoff models
... of data assimilation procedures to map observation information to state ...rainfall-runoff models, in comparison to natural runoff systems, where data assimilation methods have been ...
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Technical note: Assessment of observation quality for data assimilation in flood models
... The assimilation of satellite-based water level ob- servations (WLOs) into 2-D hydrodynamic models can keep flood forecasts on track or be used for reanalysis to obtain improved assessments of previous ...
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Data assimilation using adaptive, non-conservative, moving mesh models
... observational data was studied in light of observations gathered by satellites and drifting buoys, re- spectively, which are two common observing tools for Arctic sea ...
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Technical note: assessment of observation quality for data assimilation in flood models
... The assimilation of satellite-based water level ob- servations (WLOs) into 2-D hydrodynamic models can keep flood forecasts on track or be used for reanalysis to obtain improved assessments of previous ...
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Efficient ensemble data assimilation for coupled models with the Parallel Data Assimilation Framework: example of AWI-CM (AWI-CM-PDAF 1.0)
... the assimilation framework highly ...of models to use this method by updating the PDAF ...the assimilation framework in- dependently of the specific research ...
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Accurate state estimation from uncertain data and models: an application of data assimilation to mathematical models of human brain tumors
... global models) with noisy (and sometimes sparse) measurements. The data assimi- lation procedure updates the background in light of the new observations to produce an analysis, which, under suitable ...
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Dynamics of the Employment Assimilation of First-Generation Immigrant Men in Sweden: Comparing Dynamic and Static Assimilation Models with Longitudinal Data
... employment assimilation of first-generation (foreign-born) male immigrants in ...static assimilation models by taking the effect of past labour market experience into account together with ...
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On the assimilation of ice velocity and concentration data into large-scale sea ice models
... Abstract. Data assimilation into sea ice models designed for climate studies has started about 15 years ...the assimilation is ...assimilated data are model outputs) carried out with a ...
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Efficient dynamical downscaling of general circulation models using continuous data assimilation
... Continuous Data Assimilation (CDA) methods (Charney et al., 1969; Daley, 1991) can assimilate atmospheric observations into dynamical models during the integration time. Recently, significant ...
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Consistent assimilation of multiple data streams in a carbon cycle data assimilation system
... Abstract. Data assimilation methods provide a rigorous sta- tistical framework for constraining parametric uncertainty in land surface models (LSMs), which in turn helps to improve their predictive ...
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Linking Surface Evolution with Mantle Dynamic Processes Using Adjoint Models with Data Assimilation
... Synthetic experiments are ideal, and realistic modeling is limited by other factors, including the availability and quality of data. Dynamic topography can be spatially and temporally incomplete, but a complete ...
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Remote Sensing Data Assimilation in Dynamic Crop Models Using Particle Swarm Optimization
... crop models with a geospatial component by assimilating remote sensing ...reliable assimilation, handling of uncertainties in both models and the assimilated input data is ...for data ...
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Ionospheric modelling and Data Assimilation
... Some of the material in this chapter has been published [Da Dalt et al., 2014]. 5.1 ANIMo requirements ANIMo is a physics-based ionospheric model built into computer software using MATLAB. The advantages of using a ...
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Physically-based data assimilation
... ice. Once the existence of leads is taken into account, the remaining motion of the ice has small deformations and is appropriately described as elastic. Several features were de- signed into the model. First, the model ...
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A Method for Assimilation of Lagrangian Data
... oceanic data. These data are used to reconstruct mean large-scale currents, estimate the rate of relative dispersion, and give insight into the forma- tion, movement, and interaction of coherent flow fea- ...
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Data Assimilation: A Mathematical Introduction
... of data can convert unstable dy- namical systems, with positive Lyapunov exponents, into contractive non-autonomous dynamical systems, thereby leading, in the case of small observational noise, to filters which ...
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