The 2015 Plains Elevated Convection at Night Field ProjectSource: Bulletin of the American Meteorological Society:;2016:;volume( 098 ):;issue: 004::page 767Author:Geerts, Bart
,
Parsons, David
,
Ziegler, Conrad L.
,
Weckwerth, Tammy M.
,
Biggerstaff, Michael I.
,
Clark, Richard D.
,
Coniglio, Michael C.
,
Demoz, Belay B.
,
Ferrare, Richard A.
,
Gallus, William A.
,
Haghi, Kevin
,
Hanesiak, John M.
,
Klein, Petra M.
,
Knupp, Kevin R.
,
Kosiba, Karen
,
McFarquhar, Greg M.
,
Moore, James A.
,
Nehrir, Amin R.
,
Parker, Matthew D.
,
Pinto, James O.
,
Rauber, Robert M.
,
Schumacher, Russ S.
,
Turner, David D.
,
Wang, Qing
,
Wang, Xuguang
,
Wang, Zhien
,
Wurman, Joshua
DOI: 10.1175/BAMS-D-15-00257.1Publisher: American Meteorological Society
Abstract: he central Great Plains region in North America has a nocturnal maximum in warm-season precipitation. Much of this precipitation comes from organized mesoscale convective systems (MCSs). This nocturnal maximum is counterintuitive in the sense that convective activity over the Great Plains is out of phase with the local generation of CAPE by solar heating of the surface. The lower troposphere in this nocturnal environment is typically characterized by a low-level jet (LLJ) just above a stable boundary layer (SBL), and convective available potential energy (CAPE) values that peak above the SBL, resulting in convection that may be elevated, with source air decoupled from the surface. Nocturnal MCS-induced cold pools often trigger undular bores and solitary waves within the SBL. A full understanding of the nocturnal precipitation maximum remains elusive, although it appears that bore-induced lifting and the LLJ may be instrumental to convection initiation and the maintenance of MCSs at night.To gain insight into nocturnal MCSs, their essential ingredients, and paths toward improving the relatively poor predictive skill of nocturnal convection in weather and climate models, a large, multiagency field campaign called Plains Elevated Convection At Night (PECAN) was conducted in 2015. PECAN employed three research aircraft, an unprecedented coordinated array of nine mobile scanning radars, a fixed S-band radar, a unique mesoscale network of lower-tropospheric profiling systems called the PECAN Integrated Sounding Array (PISA), and numerous mobile-mesonet surface weather stations. The rich PECAN dataset is expected to improve our understanding and prediction of continental nocturnal warm-season precipitation. This article provides a summary of the PECAN field experiment and preliminary findings.
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contributor author | Geerts, Bart | |
contributor author | Parsons, David | |
contributor author | Ziegler, Conrad L. | |
contributor author | Weckwerth, Tammy M. | |
contributor author | Biggerstaff, Michael I. | |
contributor author | Clark, Richard D. | |
contributor author | Coniglio, Michael C. | |
contributor author | Demoz, Belay B. | |
contributor author | Ferrare, Richard A. | |
contributor author | Gallus, William A. | |
contributor author | Haghi, Kevin | |
contributor author | Hanesiak, John M. | |
contributor author | Klein, Petra M. | |
contributor author | Knupp, Kevin R. | |
contributor author | Kosiba, Karen | |
contributor author | McFarquhar, Greg M. | |
contributor author | Moore, James A. | |
contributor author | Nehrir, Amin R. | |
contributor author | Parker, Matthew D. | |
contributor author | Pinto, James O. | |
contributor author | Rauber, Robert M. | |
contributor author | Schumacher, Russ S. | |
contributor author | Turner, David D. | |
contributor author | Wang, Qing | |
contributor author | Wang, Xuguang | |
contributor author | Wang, Zhien | |
contributor author | Wurman, Joshua | |
date accessioned | 2017-06-09T16:46:17Z | |
date available | 2017-06-09T16:46:17Z | |
date copyright | 2017/04/01 | |
date issued | 2016 | |
identifier issn | 0003-0007 | |
identifier other | ams-73794.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4215947 | |
description abstract | he central Great Plains region in North America has a nocturnal maximum in warm-season precipitation. Much of this precipitation comes from organized mesoscale convective systems (MCSs). This nocturnal maximum is counterintuitive in the sense that convective activity over the Great Plains is out of phase with the local generation of CAPE by solar heating of the surface. The lower troposphere in this nocturnal environment is typically characterized by a low-level jet (LLJ) just above a stable boundary layer (SBL), and convective available potential energy (CAPE) values that peak above the SBL, resulting in convection that may be elevated, with source air decoupled from the surface. Nocturnal MCS-induced cold pools often trigger undular bores and solitary waves within the SBL. A full understanding of the nocturnal precipitation maximum remains elusive, although it appears that bore-induced lifting and the LLJ may be instrumental to convection initiation and the maintenance of MCSs at night.To gain insight into nocturnal MCSs, their essential ingredients, and paths toward improving the relatively poor predictive skill of nocturnal convection in weather and climate models, a large, multiagency field campaign called Plains Elevated Convection At Night (PECAN) was conducted in 2015. PECAN employed three research aircraft, an unprecedented coordinated array of nine mobile scanning radars, a fixed S-band radar, a unique mesoscale network of lower-tropospheric profiling systems called the PECAN Integrated Sounding Array (PISA), and numerous mobile-mesonet surface weather stations. The rich PECAN dataset is expected to improve our understanding and prediction of continental nocturnal warm-season precipitation. This article provides a summary of the PECAN field experiment and preliminary findings. | |
publisher | American Meteorological Society | |
title | The 2015 Plains Elevated Convection at Night Field Project | |
type | Journal Paper | |
journal volume | 98 | |
journal issue | 4 | |
journal title | Bulletin of the American Meteorological Society | |
identifier doi | 10.1175/BAMS-D-15-00257.1 | |
journal fristpage | 767 | |
journal lastpage | 786 | |
tree | Bulletin of the American Meteorological Society:;2016:;volume( 098 ):;issue: 004 | |
contenttype | Fulltext |