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RISInvestigating the Use of Ensemble Variance to Predict Observation Error of Representation
Publisher: American Meteorological Society
Abstract: ata assimilation schemes combine observational data with a short-term model forecast to produce an analysis. However, many characteristics of the atmospheric states described by the observations and the model differ. ...
Evaluation of a Strategy for the Assimilation of Satellite Radiance Observations with the Local Ensemble Transform Kalman Filter
Publisher: American Meteorological Society
Abstract: his paper evaluates a strategy for the assimilation of satellite radiance observations with the local ensemble transform Kalman filter (LETKF) data assimilation scheme. The assimilation strategy includes a mechanism to ...
Facilitating Strongly Coupled Ocean–Atmosphere Data Assimilation with an Interface Solver
Publisher: American Meteorological Society
Abstract: n a strongly coupled data assimilation (DA), a cross-fluid covariance is specified that allows measurements from a coupled fluid (e.g., atmosphere) to directly impact analysis increments in a target fluid (e.g., ocean). ...
Comparison of Hybrid Ensemble/4DVar and 4DVar within the NAVDAS-AR Data Assimilation Framework
Publisher: American Meteorological Society
Abstract: he effect on weather forecast performance of incorporating ensemble covariances into the initial covariance model of the four-dimensional variational data assimilation (4D-Var) Naval Research Laboratory Atmospheric Variational ...
Observation-Informed Generalized Hybrid Error Covariance Models
Publisher: American Meteorological Society
Abstract: AbstractBecause of imperfections in ensemble data assimilation schemes, one cannot assume that the ensemble-derived covariance matrix is equal to the true error covariance matrix. Here, we describe a simple and intuitively ...
First Application of the Local Ensemble Tangent Linear Model (LETLM) to a Realistic Model of the Global Atmosphere
Publisher: American Meteorological Society
Abstract: AbstractThe local ensemble tangent linear model (LETLM) provides an alternative method for creating the tangent linear model (TLM) and adjoint of a nonlinear model that promises to be easier to maintain and more computationally ...
Hybrid 4DVAR with a Local Ensemble Tangent Linear Model: Application to the Shallow-Water Model
Publisher: American Meteorological Society
Abstract: n ensemble-based tangent linear model (TLM) is described and tested in data assimilation experiments using a global shallow-water model (SWM). A hybrid variational data assimilation system was developed with a 4D variational ...
Assessing Predictability with a Local Ensemble Kalman Filter
Publisher: American Meteorological Society
Abstract: In this paper, the spatiotemporally changing nature of predictability is studied in a reduced-resolution version of the National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS), a state-of-the-art ...
High-Altitude (0–100 km) Global Atmospheric Reanalysis System: Description and Application to the 2014 Austral Winter of the Deep Propagating Gravity Wave Experiment (DEEPWAVE)
Publisher: American Meteorological Society
Abstract: AbstractA data assimilation system (DAS) is described for global atmospheric reanalysis from 0- to 100-km altitude. We apply it to the 2014 austral winter of the Deep Propagating Gravity Wave Experiment (DEEPWAVE), an ...