Browsing by Subject "Data assimilation"
Now showing items 1-5 of 5
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Analysis of environmental modifications by deep convection during the Mesoscale Predictability Experiment
(2017-05)The Mesoscale Predictability Experiment (MPEX) conducted during the spring of 2013 included frequent coordinated sampling of near-storm environments via upsondes. These unique observations were taken to better understand ... -
Improving the Prediction of Nocturnal Convection through the Assimilation of Novel Datasets: Observation Impacts and Error Treatment
(2021-03-01)Numerical weather prediction (NWP) models often fail to correctly forecast both the initiation and evolution of nocturnal convection. To improve our understanding of such events, researchers collected a unique dataset of ... -
A Multi-Resolution Ensemble Hybrid 4DEnVar with Variable Ensemble Sizes to Improve Global and Tropical Cyclone Track Numerical Prediction
(2022-05)One challenge associated with ensemble-based data assimilation (DA) is the quantitative estimation of the background error covariances. In the current global operational DA system, a reduced resolution background ensemble ... -
Reducing sampling errors of the background error covariance estimate in ensemble-based data assimilation
(2020-05-08)Ensemble-based data assimilation (DA) estimates forecast error in a flow-dependent fashion, in contrast to the traditional variational DA assuming static forecast error. Due to computational constraints, however, accuracy ... -
The Use of Polarimetric Radar Data for Informing Numerical Weather Prediction Models
(2018-05-11)The explicit prediction of convective storms using storm-scale models has recently become a reality. Radar data is a crucial source of information about the microphysical and kinematic properties of convection at the ...