Browsing by Subject "data assimilation"
Now showing items 1-8 of 8
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Assimilation of ground-based remote sensors for improving the prediction of bore-generating nocturnal convection
(2021-08)Advances in Numerical Weather Prediction (NWP) require a synchronous improvement in the structure of the underlying Global Observing System (GOS). However, recent progress toward high-resolution modeling has not been ... -
Constraint of Vegetation Photosynthesis and Respiration Model (VPRM) Parameter Uncertainty Using a Markov Chain Monte Carlo (MCMC) Technique
(2023-05-12)Modeling the changes to the carbon cycle and their effects on the atmosphere is a key area of research for understanding climate change. The Vegetation Photosynthesis and Respiration Model (VPRM) is a light-use efficiency ... -
Impact of Microphysics Parameterization Schemes on the Assimilation of GOES-16 All-Sky Infrared Radiances for a Bow Echo Analysis and Prediction
(2023-08-04)Assimilating infrared brightness temperature (BT) from the water vapor sensitive channels of the GOES-16 Advanced Baseline Imager (ABI) has been shown by past studies to improve the analysis and prediction of severe weather ... -
Model-data fusion in digital twins of large scale dynamical systems
(2022-07)Digital twins (DTs) are virtual entities that serve as the real-time digital counterparts of actual physical systems across their life-cycle. In a typical application of DTs, the physical system provides sensor measurements ... -
Physics-guided machine learning for turbulence closure and reduced-order modeling
(2022-07)A recent advance in scientific machine learning has started to show promising results in fluid mechanics. Despite their early success, the application of data-driven methods to turbulent flow simulation is non-trivial due ... -
THE PREDICTION AND ASSIMILATION OF POLARIMETRIC RADAR DATA USING ENSEMBLE-BASED METHODS
(2016-05-13)Accurately representing the microphysical state of precipitation using bulk microphysics schemes, including the hydrometeor particle size distributions (PSDs), is vital to improving convective-scale forecasts. In this ... -
Sensitivities of 1-km Forecasts of Tornadic Supercells to Microphysics Parameterizations, Assimilated Radar Data, and Assimilation Techniques
(2016-05-13)The aim of this study is to examine the impact of using five different microphysics parameterization schemes, including single-, double-, and triple-moment microphysics, in an efficient high-resolution data assimilation ... -
Understanding and Predicting Nocturnal Convection Initiation using an Ensemble-based Multi-scale Data Assimilation System
(2016-08-12)A nocturnal maximum in precipitation exists over the Great Plains during the summer. The initiation of nocturnal storms is notoriously difficult to forecast in numerical models due to the storms often involving interactions ...