Ensemble Data Assimilation
Representing model error in ensemble data assimilation
... the ensemble data assimilation variance (variance taken over an ensemble of assimilations over a 3-week period) in which only observation uncertainties are ...
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Development of a hybrid variational-ensemble data assimilation technique for observed lightning tested in a mesoscale model
... hybrid ensemble- variational data assimilation method developed at Colorado State ...and ensemble data assimilation methods, a cost func- tion is derived using a Gaussian ...
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A non-Gaussian analysis scheme using rank histograms for ensemble data assimilation
... The ensemble data assimilation methods can be sorted in two categories: those that transform the prior ensemble par- ticles using a deterministic map (transform methods), and those that sample ...
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A hybrid variational-ensemble data assimilation scheme with systematic error correction for limited-area ocean models
... variational-ensemble data assimilation scheme to estimate the vertical and horizontal parts of the background error covariance matrix for an ocean variational data assimilation system ...
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Performance evaluation of a throughput-aware framework for ensemble data assimilation: the case of NICAM-LETKF
... reducing data transfer between compu- tational nodes over a spectral transform method, which re- quires global communication between nodes and constitutes one of the bottlenecks in a massively parallel ...
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Model error estimation in ensemble data assimilation
... Abstract. A new methodology is proposed to estimate and account for systematic model error in linear filtering as well as in nonlinear ensemble based filtering. Our results extend the work of Dee and Todling ...
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Using ensemble data assimilation to forecast hydrological flumes
... our data as- similation algorithm, we have chosen a recent version of the Ensemble Kalman Filter, the Variational Ensemble Kalman Filter (VEnKF) introduced by Solonen et ...other data ...
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Improving the characterization of initial condition for ensemble streamflow prediction using data assimilation
... of ensemble data assimilation within an operational framework is often ...debated. Ensemble data assimilation may become questionable in an operational framework due to the ...
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Four-dimensional ensemble variational (4D-En-Var) data assimilation for the HIgh Resolution Limited Area Model (HIRLAM)
... the ensemble- based methods that are able to describe flow ...variational ensemble data assimilation methods (Hamil and Snyder, 2000; Lorenc, 2003; Wang et ...ample, ensemble-based ...
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Application of ensemble transform data assimilation methods for parameter estimation in reservoir modeling
... “data assimilation” and “history matching” are used interchangeably, as the goal of data assimilation is the same as that of history match- ing, where observations are used to improve a ...
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Volcanic ash forecast using ensemble-based data assimilation: an ensemble transform Kalman filter coupled with the FALL3D-7.2 model (ETKF–FALL3D version 1.0)
... an ensemble-based data assimilation and forecast system for volcanic ash disper- sal and deposition aimed at reducing uncertainties related to eruption source ...the ensemble transform Kalman ...
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Evaluation of snow data assimilation using the ensemble Kalman filter for seasonal streamflow prediction in the western United States
... estimate ensemble SWE ob- servations with point gauge SWE data from surrounding gauge sites for study ...the ensemble streamflow prediction (ESP) approach is used to test the impact of SWE DA on ...
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Estimating surface carbon fluxes based on a local ensemble transform Kalman filter with a short assimilation window and a long observation window: an observing system simulation experiment test in GEOS-Chem 10.1
... most ensemble Kalman filter methods require short windows to ensure that the forecast perturbation growth remains ...short data assimilation win- dow, required by the LETKF, also protects the system ...
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Regional scale ozone data assimilation using an ensemble Kalman filter and the CHIMERE chemical transport model
... the assimilation system using these different errors formulations for a 10-day simulation over Europe including a photochemical ...The ensemble Kalman filter assimi- lation setup, including a description of ...
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Multi source data assimilation for physically based hydrological modeling of an experimental hillslope
... multivariate data assimilation may lead to significant trade- ...the assimilation of soil moisture in addi- tion to pressure head and subsurface outflow improved water content, but slightly degraded ...
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Observation operators for assimilation of satellite observations in fluvial inundation forecasting
... operator and is able to correct the forecast for the state- only assimilation cases. The backscatter operator ap- proach also allowed the forecast to converge to the true solution for both water levels and channel ...
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Strategies for coupling global and limited-area ensemble Kalman filter assimilation
... the data assimilation system is the Local Ensemble Trans- form Kalman Filter (Ott et ...area data assimilation in principle, rather than develop rec- ommendations for the operational ...
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Consistent assimilation of multiple data streams in a carbon cycle data assimilation system
... stream assimilation framework ...extra data streams to constrain the C cycle of LSMs is clear, multiple data stream assimi- lation is not as simple as it may ...one data stream there is the ...
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Physically-based data assimilation
... new assimilation scheme in a sea-ice environment where lower dimensional features in the form of Linear Kinematic Features (LKFs; Kwok, 2001) are abun- dant and ...general assimilation scheme would call for ...
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A past discharges assimilation system for ensemble streamflow forecasts over France – Part 1: Description and validation of the assimilation system
... variational data assimilation approach for as- similating streamflows in order to retrieve root-zone soil ...moisture data and improved the simulation of water storage and fluxes in the Mississippi ...
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