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Sensitivity of Mesoscale Gravity Waves to the Baroclinicity of Jet-Front Systems
Publisher: American Meteorological Society
Abstract: This study investigates the sensitivity of mesoscale gravity waves to the baroclinicity of the background jet-front systems by simulating different life cycles of baroclinic waves with a high-resolution mesoscale model. ...
Tests of an Ensemble Kalman Filter for Mesoscale and Regional-Scale Data Assimilation. Part III: Comparison with 3DVAR in a Real-Data Case Study
Publisher: American Meteorological Society
Abstract: The feasibility of using an ensemble Kalman filter (EnKF) for mesoscale and regional-scale data assimilation has been demonstrated in the authors? recent studies via observing system simulation experiments (OSSEs) both ...
E4DVar: Coupling an Ensemble Kalman Filter with Four-Dimensional Variational Data Assimilation in a Limited-Area Weather Prediction Model
Publisher: American Meteorological Society
Abstract: hybrid data assimilation approach that couples the ensemble Kalman filter (EnKF) and four-dimensional variational (4DVar) methods is implemented for the first time in a limited-area weather prediction model. In this coupled ...
Impacts of Mountain–Plains Solenoid on Diurnal Variations of Rainfalls along the Mei-Yu Front over the East China Plains
Publisher: American Meteorological Society
Abstract: onvection-permitting numerical experiments using the Weather Research and Forecasting (WRF) model are performed to examine the impact of a thermally driven mountain?plains solenoid (MPS) on the diurnal variations of ...
Adaptive Observation Error Inflation for Assimilating All-Sky Satellite Radiance
Publisher: American Meteorological Society
Abstract: n empirical flow-dependent adaptive observation error inflation (AOEI) method is proposed for assimilating all-sky satellite brightness temperatures through observing system simulation experiments with an ensemble Kalman ...
Limited-Area Ensemble-Based Data Assimilation
Publisher: American Meteorological Society
Abstract: nsemble-based data assimilation is a state estimation technique that uses short-term ensemble forecasts to estimate flow-dependent background error covariance and is best known by varying forms of ensemble Kalman filters ...
Impacts of Typhoon Track and Island Topography on the Heavy Rainfalls in Taiwan Associated with Morakot (2009)
Publisher: American Meteorological Society
Abstract: loud-resolving ensemble simulations and sensitivity experiments utilizing the Weather Research and Forecasting model (WRF) are performed to investigate the dynamics and predictability of the record-breaking rainfall and ...
Dynamics and Structure of Forecast Error Covariance in the Core of a Developing Hurricane
Publisher: American Meteorological Society
Abstract: n ensemble of cloud-resolving forecasts from the Weather Research and Forecasting model (WRF) was used to study error covariance for Hurricane Katrina (2005) during a 64-h period in which the storm progressed from a tropical ...
Predictability and Genesis of Hurricane Karl (2010) Examined through the EnKF Assimilation of Field Observations Collected during PREDICT
Publisher: American Meteorological Society
Abstract: he genesis of Hurricane Karl (2010) is explored using analyses and forecasts from a cycling ensemble Kalman filter (EnKF) that assimilates routinely collected observations as well as dropsonde measurements that were taken ...
Tracking Gravity Waves in Baroclinic Jet-Front Systems
Publisher: American Meteorological Society
Abstract: Using a two-dimensional Fourier decomposition and a four-dimensional ray-tracing technique, the propagating characteristics and source mechanisms of mesoscale gravity waves simulated in idealized baroclinic jet-front systems ...