North America;
Atmospheric circulation;
Deep convection;
Mesoscale systems;
Precipitation;
Summer;
warm season;
WARM-SEASON PRECIPITATION;
SEVERE WEATHER OUTBREAKS;
SYNOPTIC CLIMATOLOGY;
UNITED-STATES;
CIRCULATION;
PERSISTENT;
COMPLEXES;
SOUTHERN;
EVENTS;
D O I:
10.1175/JCLI-D-18-0839.1
中图分类号:
P4 [大气科学(气象学)];
学科分类号:
0706 ;
070601 ;
摘要:
Mesoscale convective systems (MCSs) are frequently observed over the U.S. Great Plains during boreal spring and summer. Here, four types of synoptically favorable environments for spring MCSs and two types each of synoptically favorable and unfavorable environments for summer MCSs are identified using self-organizing maps (SOMs) with inputs from observational data. During spring, frontal systems providing a lifting mechanism and an enhanced Great Plains low-level jet (GPLLJ) providing anomalous moisture are important features identified by SOM analysis for creating favorable dynamical and thermodynamic environments for MCS development. During summer, the composite MCS environment shows small positive convective available potential energy (CAPE) and convective inhibition (CIN) anomalies, which are in stark contrast with the large positive CAPE and negative CIN anomalies in spring. This contrast suggests that summer convection may occur even with weak large-scale dynamical and thermodynamic perturbations so MCSs may be inherently less predictable in summer. The two synoptically favorable environments identified in summer have frontal characteristics and an enhanced GPLLJ, but both shift north compared to spring. The two synoptically unfavorable environments feature enhanced upper-level ridges, but differ in the strength of the GPLLJ. In both seasons, MCS precipitation amount, area, and rate are much larger in the frontal-related MCSs than in nonfrontal MCSs. A large-scale index constructed using pattern correlation between large-scale environments and the synoptically favorable SOM types is found to be skillful for estimating MCS number, precipitation rate, and area in spring, but its explanatory power decreases significantly in summer. The low predictability of summer MCSs deserves further investigation in the future.
机构:
Ocean Univ China, Frontier Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China
Ocean Univ China, Phys Oceanog Lab, Qingdao, Peoples R China
Qingdao Natl Lab Marine Sci & Technol QNLM, Qingdao, Peoples R ChinaOcean Univ China, Frontier Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China
Song, Fengfei
Leung, L. Ruby
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机构:
Pacific Northwest Natl Lab, Atmospher Sci & Global Change Div, Richland, WA 99354 USAOcean Univ China, Frontier Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China
Leung, L. Ruby
Feng, Zhe
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机构:
Pacific Northwest Natl Lab, Atmospher Sci & Global Change Div, Richland, WA 99354 USAOcean Univ China, Frontier Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China
Feng, Zhe
Chen, Xingchao
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机构:
Penn State Univ, Dept Meteorol & Atmospher Sci, University Pk, PA 16801 USA
Penn State Univ, Ctr Adv Data Assimilat & Predictabil Techn, University Pk, PA 16801 USAOcean Univ China, Frontier Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China
Chen, Xingchao
Yang, Qiu
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机构:
Pacific Northwest Natl Lab, Atmospher Sci & Global Change Div, Richland, WA 99354 USAOcean Univ China, Frontier Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China
机构:
George Mason Univ, Fairfax, VA 22030 USAGeorge Mason Univ, Fairfax, VA 22030 USA
Gaal, Rachel
Kinter, James L., III
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机构:
George Mason Univ, Fairfax, VA 22030 USA
George Mason Univ, Ctr Ocean Land Atmosphere Studies, Fairfax, VA 22030 USAGeorge Mason Univ, Fairfax, VA 22030 USA