scholarly journals A 14‐year statistics‐based semi‐idealized modeling study on the formation of a type of heavy rain–producing southwest vortex

2019 ◽  
Vol 20 (5) ◽  
pp. e894
Author(s):  
Yuan‐Chun Zhang ◽  
Shen‐Ming Fu ◽  
Jian‐Hua Sun ◽  
Rui Fu ◽  
Shuang‐Long Jin ◽  
...  
Keyword(s):  
Heavy Rain ◽  
Idealized Modeling ◽  
Southwest Vortex ◽  
Modeling Study

Sill dynamics and fjord deep water renewal: Idealized modeling study

2009 ◽  
Vol 29 (1) ◽  
pp. 221-233 ◽  
Author(s):  
Dmitri Leonov ◽  
Mitsuhiro Kawase
Keyword(s):  
Deep Water ◽  
Water Renewal ◽  
Idealized Modeling ◽  
Modeling Study

An Analysis of Heavy Rain Caused by Southwest Vortex

2020 ◽  
Vol 09 (04) ◽  
pp. 310-317
Author(s):  
蔓 王
Keyword(s):  
Heavy Rain ◽  
Southwest Vortex

An idealized modeling study of nocturnal cooling processes inside a small enclosed basin

2011 ◽  
Vol 116 (D20) ◽  
Author(s):  
M. T. Kiefer ◽  
S. Zhong
Keyword(s):  
Idealized Modeling ◽  
Modeling Study

scholarly journals Seasonal Sensitivity of the Eddy-Driven Jet to Tropospheric Heating in an Idealized AGCM

2016 ◽  
Vol 29 (14) ◽  
pp. 5223-5240 ◽  
Author(s):  
Marie C. McGraw ◽  
Elizabeth A. Barnes
Keyword(s):  
Internal Variability ◽  
Reanalysis Data ◽  
Forced Response ◽  
Dynamical Core ◽  
Anthropogenic Forcing ◽  
Position Response ◽  
Idealized Modeling ◽  
Tropospheric Heating ◽  
Speed Response ◽  
Modeling Study

Abstract A dry dynamical core is used to investigate the seasonal sensitivity of the circulation to two idealized thermal forcings: a tropical upper-tropospheric heating and a polar lower-tropospheric heating. The thermal forcings are held constant, and the response of the circulation in each month of the year is explored. First, the circulation responses to tropical warming and polar warming are studied separately, and then the response to the simultaneously applied forcings is analyzed. Finally, the seasonality of the internal variability of the circulation is explored as a possible mechanism to explain the seasonality of the responses. The primary results of these experiments are as follows: 1) There is a seasonal sensitivity in the circulation response to both the tropical and polar forcings. 2) The jet position response to each forcing is greatest in the transition seasons, and the jet speed response exhibits a seasonal sensitivity to both forcings, although the seasonal sensitivities are not the same. 3) The circulation response is nonlinear in the transition seasons, but approximately linear in the winter months. 4) The internal variability of the unforced circulation exhibits a seasonal sensitivity that may partly explain the seasonal sensitivity of the forced response. The seasonality of the internal variability of daily MERRA reanalysis data is compared to that of the model, demonstrating that the broad conclusions drawn from this idealized modeling study may be useful for understanding the jet response to anthropogenic forcing.

An idealized modeling study of the effect of continental air mass aerosol parameters on marine stratocumulus

2008 ◽  
Vol 88 (2) ◽  
pp. 157-167 ◽  
Author(s):  
Lan Yi ◽  
Yefim L. Kogan ◽  
David B. Mechem
Keyword(s):  
Marine Stratocumulus ◽  
Air Mass ◽  
Idealized Modeling ◽  
Aerosol Parameters ◽  
Modeling Study

Allene oxidation in jet-stirred reactor : a kinetic modeling study

1990 ◽  
Vol 87 ◽  
pp. 1159-1172 ◽  
Author(s):  
P Dagaut ◽  
M Cathonnet ◽  
B Aboussi ◽  
JC Boettner
Keyword(s):  
Kinetic Modeling ◽  
Stirred Reactor ◽  
Allene Oxidation ◽  
Modeling Study

Forecasting Occurrence of Localized Heavy Rain and Tornado

2014 ◽  
Vol 134 (9) ◽  
pp. 604-607
Author(s):  
Shoji KAWASAKI ◽  
Masaaki KOYAMA ◽  
Shunsuke FUKAMI ◽  
Chisa KOBAYASHI
Keyword(s):  
Heavy Rain

1925-P: Apparent Plateau in Diabetes Diagnosis Explained by Misuse of Updated Diagnosis Criteria in Simulation Modeling Study of Macronutrient Consumption Trends in U.S.

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1925-P
Author(s):  
SMITA MOHANTY ◽  
COLLEEN M. CHELINI ◽  
PAUL D'ALESSANDRO ◽  
GAURAV DWIVEDI
Keyword(s):  
Simulation Modeling ◽  
Diabetes Diagnosis ◽  
Diagnosis Criteria ◽  
Modeling Study
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