Publications and Papers

Assimilating Radar and Lidar Observations to Improve the Prediction of Bore Waves during the 2015 PECAN Field Campaign

https://ui.adsabs.harvard.edu/abs/2021AGUFM.A25D1694Y/abstract

Investigation of Mid-Latitude MCSs Cloud and Precipitation Properties and Their Associated Environments Through an Integrative Analysis of Ground Radar, Satellite and Reanalysis Data and Machine Learning Techniques

https://repository.arizona.edu/handle/10150/660147

The Importance of Soil Moisture Content on Numerical Simulations and the Summertime Great Plains Low Level Jet

https://www.proquest.com/openview/6afd91273cc1e216bfe38f0ffb17ce6b/1?pq-origsite=gscholar&cbl=18750&diss=y

Development and Application of a Unified Framework for Meso to Synoptic Scale Error Growth Diagnosis and Weather Extremes in Global Numerical Weather Prediction

https://shareok.org/handle/11244/334410

Assimilation of ground-based remote sensors for improving the prediction of bore-generating nocturnal convection

https://shareok.org/handle/11244/330164

Understanding large-scale controls of nighttime elevated convections over the Great Plains during PECAN field experiment

https://ui.adsabs.harvard.edu/abs/2018AGUFM.A13O2698T/abstract

Improving the Prediction of Nocturnal Convection through the Assimilation of Novel Datasets: Observation Impacts and Error Treatment

https://shareok.org/handle/11244/329024

Diagnosis of Severe Wind Processes in Two Nocturnal MCSs Observed during PECAN

Diagnosis of Severe Wind Processes in Two Nocturnal MCSs Observed during PECAN

Kinematics, Thermodynamics, and Microphysics of the 25-26 June 2015 Kansas MCS during PECAN

https://shareok.org/handle/11244/299940

June 9-10, 2015: A case study of the Great Plains Low-Level Jet during PECAN (Plains Elevated Convection at Night)

https://ui.adsabs.harvard.edu/abs/2016MsT.........14S/abstract