The Impact of Low-Level Moisture Errors on Model Forecasts of an MCS Observed during PECAN
John M Peters, Erik R Nielsen, Matthew D Parker, Stacey M Hitchcock, Russ S Schumacher
Monthly Weather Review | AMER METEOROLOGICAL SOC | Published : 2017
Awarded by NSF
The writing and publishing of this article was supported by NSF Awards AGS-PRF 1524435 and AGS-1359727. The mobile upsonde systems that collected the radiosonde data used in this article were supported by the NSF Award AGS-1359726. We thank the NOAA/National Severe Storms Laboratory (NSSL) for its role in providing and configuring the two NSSL mobile sounding vehicles and the NOAA/Office of Atmospheric Research (OAR) grant, which provided all mobile sounding expendables used by the CSU and two NSSL sounding vehicles during PECAN. Special thanks go out to Mike Coniglio, Conrad Ziegler, Clark Evans, Gregory Herman, Stan Trier, and two anonymous reviewers for helpful conversations and feedback. High-performance computing resources from Yellowstone (ark:/85065/d7wd3xhc) and the stage-IV analysis were provided by the National Center for Atmospheric Research's (NCAR) Computational and Information Systems Laboratory (NSSL), which is sponsored by the National Science Foundation. Finally, thanks to the NSSL, North Carolina State University, and Colorado State University mobile sounding teams for collecting the data used in this study.