TY - JOUR
T1 - The Dynamical Coupling of Convective Updrafts, Downdrafts, and Cold Pools in Simulated Supercell Thunderstorms
AU - Marion, G. R.
AU - Trapp, R. J.
N1 - This research was supported by the Department of Energy through grant DE‐SC0014101. Analyses were performed using the open‐source Python libraries NumPy and SciPy. Data used in this article are available through the Illinois Digital Environment for Access to Learning and Scholarship (IDEALS; https%3A% 2F%2Fwww.ideals.illinois.edu%2F), a digital depository library at the University of Illinois at Urbana‐ Champaign. We greatly appreciate the availability of CM1, which was developed and is maintained by George Bryan of NCAR, and available at http% 3A%2F%2Fwww2.mmm.ucar.edu% 2Fpeople%2Fbryan%2Fcm1%2F. We additionally thank Bryan for making available his pressure decomposition code. The authors benefitted from numerous helpful conversations on this work by Sonia Lasher‐Trapp, Steve Nesbitt, and Paloma Borque. We are also grateful for the beneficial comments and suggestions made by the three anonymous reviewers.
This research was supported by the Department of Energy through grant DE-SC0014101. Analyses were performed using the open-source Python libraries NumPy and SciPy. Data used in this article are available through the Illinois Digital Environment for Access to Learning and Scholarship (IDEALS; https%3A%2F%2Fwww.ideals.illinois.edu%2F), a digital depository library at the University of Illinois at Urbana-Champaign. We greatly appreciate the availability of CM1, which was developed and is maintained by George Bryan of NCAR, and available at http%3A%2F%2Fwww2.mmm.ucar.edu%2Fpeople%2Fbryan%2Fcm1%2F. We additionally thank Bryan for making available his pressure decomposition code. The authors benefitted from numerous helpful conversations on this work by Sonia Lasher-Trapp, Steve Nesbitt, and Paloma Borque. We are also grateful for the beneficial comments and suggestions made by the three anonymous reviewers.
PY - 2019/1/27
Y1 - 2019/1/27
N2 - The initiation of second-generation convective storms by the cold pools of first-generation storms is known to depend on cold pool characteristics such as depth and speed. It is not clear, however, how these characteristics relate back to the convective storm components and, in turn, to the environment. Here we investigate the hypothesis that wider updraft cores result in wider downdraft cores, which subsequently lead to the development of deeper cold pools that are more likely to initiate new convection. This hypothesis is addressed using a large set of idealized numerical simulations of highly organized convective storms, specifically, supercells. Quantifications of the convective components show strong interrelationships between updraft area, downdraft area, and cold pool depth, thus supporting our primary hypothesis. These interrelationships are highly sensitive to the parcel buoyancy and vertical wind shear, with large convective available potential energy, strong wind shear, and a deep mixed layer ultimately contributing to the deepest (and strongest) cold pools. Diagnoses of the forcings of vertical accelerations show that draft width, and therefore cold pool depth, are initially influenced by the buoyancy and linear dynamic forcings, but thereafter are controlled mostly by the nonlinear dynamic forcings. These results, overall, have implications on the development (or improvement) of cold pool parameterizations in weather and climate models.
AB - The initiation of second-generation convective storms by the cold pools of first-generation storms is known to depend on cold pool characteristics such as depth and speed. It is not clear, however, how these characteristics relate back to the convective storm components and, in turn, to the environment. Here we investigate the hypothesis that wider updraft cores result in wider downdraft cores, which subsequently lead to the development of deeper cold pools that are more likely to initiate new convection. This hypothesis is addressed using a large set of idealized numerical simulations of highly organized convective storms, specifically, supercells. Quantifications of the convective components show strong interrelationships between updraft area, downdraft area, and cold pool depth, thus supporting our primary hypothesis. These interrelationships are highly sensitive to the parcel buoyancy and vertical wind shear, with large convective available potential energy, strong wind shear, and a deep mixed layer ultimately contributing to the deepest (and strongest) cold pools. Diagnoses of the forcings of vertical accelerations show that draft width, and therefore cold pool depth, are initially influenced by the buoyancy and linear dynamic forcings, but thereafter are controlled mostly by the nonlinear dynamic forcings. These results, overall, have implications on the development (or improvement) of cold pool parameterizations in weather and climate models.
KW - cold pool
KW - downdraft
KW - supercell
KW - updraft
UR - https://www.scopus.com/pages/publications/85060570985
UR - https://www.scopus.com/pages/publications/85060570985#tab=citedBy
U2 - 10.1029/2018JD029055
DO - 10.1029/2018JD029055
M3 - Article
AN - SCOPUS:85060570985
SN - 2169-897X
VL - 124
SP - 664
EP - 683
JO - Journal of Geophysical Research: Atmospheres
JF - Journal of Geophysical Research: Atmospheres
IS - 2
ER -