2011
DOI: 10.1016/j.jastp.2010.07.010
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Meso-γ-scale convective systems observed by a 443-MHz wind-profiling radar with RASS in the Okinawa subtropical region

Abstract: a b s t r a c tWe observed a meso-g-scale convective system in July 2007 using a 443-MHz wind profiler radar (WPR) with a radio acoustic sounding system (RASS) at the NICT Ogimi observatory in Okinawa, Japan. We analyzed the virtual temperature, T v , the Brunt-Vaisala frequency squared, N 2 , and three components of wind velocity profiles from the WPR-RASS data. We also employed a non-hydrostatic meso-scale (NHM) numerical model. Although the island of Okinawa was covered with a Pacific highpressure system fr… Show more

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Cited by 5 publications
(5 citation statements)
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“…According to back trajectory analysis at Cape Hedo [ Verma et al ., ], maritime air masses constituted about 80% of the air masses sampled at Cape Hedo. Summer precipitation over Okinawa Island is mainly associated with cloud systems developed by thermal convection [ Mikami et al ., ]. In summer and fall, typhoons and tropical cyclones frequently pass over the East China Sea (Figure c and Plate c), causing heavy precipitation [ Ueda et al ., ].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…According to back trajectory analysis at Cape Hedo [ Verma et al ., ], maritime air masses constituted about 80% of the air masses sampled at Cape Hedo. Summer precipitation over Okinawa Island is mainly associated with cloud systems developed by thermal convection [ Mikami et al ., ]. In summer and fall, typhoons and tropical cyclones frequently pass over the East China Sea (Figure c and Plate c), causing heavy precipitation [ Ueda et al ., ].…”
Section: Resultsmentioning
confidence: 99%
“…Summertime precipitation often comes from cloud systems developed by thermal convection [ Mikami et al ., ]. We therefore focused on data from summer.…”
Section: Processes Controlling Bc In Rainwatermentioning
confidence: 99%
“…2007) for thermal geometric controls on surface air temperature. In addition, many observational studies were conducted for TMA to analyze two mesocyclones with the surface network and weather radar during TOMACS ; the urban canopy and winds (Kondo et al 2008); wind profiles, static stability, and convergence leading to the development of thunderstorms (Mikami et al 2011); multilayer winds and sea breezes measurements with the Doppler weather radar (Tsunematsu et al 2009); aerosols and sea breeze studies with the Doppler LIDAR (Iwai et al 2011); thermal and geometric studies on surface air temperature (Tomita et al 2007); effects of the Tokyo Bay sea surface temperature on urban temperature (Oda and Kanda 2009); climatology of synoptic winds and surface temperatures (Yoshikado 2013); and lee winds and rainfall in TMA (Inamura et al 2011). Further, many numerical simulations were conducted to study the impacts of land use and alteration on Tokyo surface temperature and sea breeze (Kusaka et al 2000), increased precipitation , energy balance and heat modeling (Ooka et al 2011), local heavy rainfall , Tokyo morphology (Adachi et al, 2014), and advanced data assimilation systems (Saito et al, 2017;Saito et al 2016;Kawabata et al 2011Kawabata et al , 2013Kawabata et al , 2014.…”
Section: Introductionmentioning
confidence: 99%
“…They conducted impact tests with and without incorporating mountain effects and reported that similar MCSs were reproduced in both simulations; however, the sea-breeze circulation was somewhat stronger when the mountain effects were included. Mikami et al (2011) investigated the evolution of a small convective system over Okinawa by conducting a 1-km numerical simulation with wind profiler and radio acoustic sounding system (RASS) observations. They reported that the convective system developed when the sea-breeze circulation reduced the vertical atmospheric stability.…”
Section: Introductionmentioning
confidence: 99%
“…Although these various numerical simulations reproduced their target phenomena (MCS or convective system), Chang and Yoshizaki (1991) used a twodimensional model, whereas Minda et al (2010) and Mikami et al (2011) used high-performance numerical models but downscaled (so-called "cold start") initial conditions in their studies. From the viewpoint of weather forecasting, predicting the timing and location of an MCS or convective system is particularly important.…”
Section: Introductionmentioning
confidence: 99%