@article{ff3c313cf87847f8ba6e8d38fcad6caa,
title = "Vertical Motions in Orographic Cloud Systems over the Payette River Basin. Part I: Recovery of Vertical Motions and Their Uncertainty from Airborne Doppler Radial Velocity Measurements",
abstract = "Vertical motions over the complex terrain of Idaho{\textquoteright}s Payette River basin were observed by the Wyoming Cloud Radar (WCR) during 23 flights of the Wyoming King Air during the Seeded and Natural Orographic Wintertime Clouds: The Idaho Experiment (SNOWIE) field campaign. The WCR measured radial velocity Vr, which includes the re-flectivity-weighted terminal velocity of hydrometeors Vt, vertical air velocity w, horizontal wind contributions as a result of aircraft attitude deviations, and aircraft motion. Aircraft motion was removed through standard processing. To retrieve vertical radial velocity W, Vr was corrected using rawinsonde data and aircraft attitude measurements; w was then calculated by subtracting the mean W (W) at a given height along a flight leg long enough for W to equal the mean reflectivity-weighted terminal velocity Vt at that height. The accuracy of the w and Vt retrievals were dependent on satisfying assumptions along a given flight leg that the winds at a given altitude above/below the aircraft did not vary, the vertical air motions at a given altitude sum to 0 m s21, and Vt at a given altitude did not vary. The uncertainty in the w retrieval associated with each assumption is evaluated. Case studies and a projectwide summary show that this methodology can provide estimates of w that closely match gust probe measurements of w at the aircraft level. Flight legs with little variation in equivalent re-flectivity factor at a given height and large horizontal echo extent were associated with the least retrieval uncertainty. The greatest uncertainty occurred in regions with isolated convective turrets or at altitudes where split cloud layers were present.",
keywords = "Radars/radar observations, Updrafts/downdrafts, Vertical motion",
author = "Zaremba, {Troy J.} and Rauber, {Robert M.} and Samuel Haimov and Bart Geerts and French, {Jeffrey R.} and Coltin Grasmick and Kaylee Heimes and Tessendorf, {Sarah A.} and Katja Friedrich and Lulin Xue and Rasmussen, {Roy M.} and Kunkel, {Melvin L.} and Blestrud, {Derek R.}",
note = "Funding Information: Acknowledgments. We thank the crew from the University of Wyoming King Air (UWKA) as well as all students from the Universities of Colorado, Wyoming, and Illinois for their help in operating and deploying instruments during the campaign. Funding for the UWKA and WCR during SNOWIE was provided through the National Science Foundation (NSF) Award AGS-1441831. This research was supported under NSF Grants AGS-1547101, AGS-1546963, AGS-1546939, AGS-2016106, AGS-2015829, and AGS-2016077. The National Center for Atmospheric Research is sponsored by NSF. We also thank Dr. Scott Collis and two anonymous reviewers for comments that substantially helped to improve the quality of the paper. Funding Information: We thank the crew from the University of Wyoming King Air (UWKA) as well as all students from the Universities of Colorado, Wyoming, and Illinois for their help in operating and deploying instruments during the campaign. Funding for the UWKA and WCR during SNOWIE was provided through the National Science Foundation (NSF) Award AGS-1441831. This research was supported under NSF Grants AGS-1547101, AGS-1546963, AGS-1546939, AGS-2016106, AGS-2015829, and AGS-2016077. The National Center for Atmospheric Research is sponsored by NSF. We also thank Dr. Scott Collis and two anonymous reviewers for comments that substantially helped to improve the quality of the paper. Publisher Copyright: {\textcopyright} 2022 American Meteorological Society.",
year = "2022",
month = oct,
doi = "10.1175/JAMC-D-21-0228.1",
language = "English (US)",
volume = "61",
pages = "1707--1725",
journal = "Journal of Applied Meteorology and Climatology",
issn = "1558-8424",
publisher = "American Meteorological Society",
number = "11",
}