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RISStorm-Relative Observations in Tropical Cyclone Data Assimilation with an Ensemble Kalman Filter
Publisher: American Meteorological Society
Abstract: storm-relative data assimilation method for tropical cyclones is introduced for the ensemble Kalman filter, using the Hurricane Weather Research and Forecasting (HWRF) Ensemble Data Assimilation System (HEDAS) developed ...
Wavenumber Analysis of Azimuthally Distributed Data: Assessing Maximum Allowable Gap Size
Publisher: American Meteorological Society
Abstract: erforming wavenumber decomposition on azimuthally distributed data such as those in tropical cyclones can be challenging when data gaps exist in the signal. In the literature, ad hoc approaches are found to determine maximum ...
A Multicase Comparative Assessment of the Ensemble Kalman Filter for Assimilation of Radar Observations. Part II: Short-Range Ensemble Forecasts
Publisher: American Meteorological Society
Abstract: The quality of convective-scale ensemble forecasts, initialized from analysis ensembles obtained through the assimilation of radar observations using an ensemble Kalman filter (EnKF), is investigated for cases whose behaviors ...
A Multicase Comparative Assessment of the Ensemble Kalman Filter for Assimilation of Radar Observations. Part I: Storm-Scale Analyses
Publisher: American Meteorological Society
Abstract: The effectiveness of the ensemble Kalman filter (EnKF) for assimilating radar observations at convective scales is investigated for cases whose behaviors span supercellular, linear, and multicellular organization. The ...
Evaluation of the Hurricane Research Division Doppler Radar Analysis Software Using Synthetic Data
Publisher: American Meteorological Society
Abstract: he Hurricane Research Division Doppler radar analysis software provides three-dimensional analyses of the three wind components in tropical cyclones. Although this software has been used for over a decade, there has never ...
Tests of an Ensemble Kalman Filter for Mesoscale and Regional-Scale Data Assimilation. Part I: Perfect Model Experiments
Publisher: American Meteorological Society
Abstract: Through observing system simulation experiments, this two-part study exploits the potential of using the ensemble Kalman filter (EnKF) for mesoscale and regional-scale data assimilation. Part I focuses on the performance ...
The Impact of NASA Global Hawk Unmanned Aircraft Dropwindsonde Observations on Tropical Cyclone Track, Intensity, and Structure: Case Studies
Publisher: American Meteorological Society
Abstract: he impact of Global Hawk (GH) dropwindsondes on tropical cyclone analyses and forecasts is evaluated in an ensemble-based vortex-scale data assimilation system. Two cases from Hurricane Edouard (2014) are presented. In the ...
Parallel Direct Solution of the Ensemble Square Root Kalman Filter Equations with Observation Principal Components
Publisher: American Meteorological Society
Abstract: AbstractThe ensemble square root Kalman filter (ESRF) is a variant of the ensemble Kalman filter used with deterministic observations that includes a matrix square root to account for the uncertainty of the unperturbed ...
Ensemble-Based Simultaneous State and Parameter Estimation in a Two-Dimensional Sea-Breeze Model
Publisher: American Meteorological Society
Abstract: The performance of the ensemble Kalman filter (EnKF) in forced, dissipative flow under imperfect-model conditions is investigated through simultaneous state and parameter estimation where the source of model error is the ...
Combined Use of Satellite Observations and Global Hawk Unmanned Aircraft Dropwindsondes for Improved Tropical Cyclone Analyses and Forecasts
Publisher: American Meteorological Society
Abstract: AbstractThis study demonstrates that Global Hawk unmanned aircraft system dropwindsondes and Atmospheric Infrared Sounder (AIRS) observations can be complementary in sampling a tropical cyclone (TC). The assimilation of ...