A meso-α-scale study of meiyu front heavy rain—Part II : The dynamical analysis of rain-band disturbance

1987 ◽  
Vol 4 (4) ◽  
pp. 485-495 ◽  
Author(s):  
Yang Guoxiang ◽  
Lu Hancheng ◽  
He Qiqiang
Keyword(s):  
Heavy Rain ◽  
Dynamical Analysis ◽  
Meiyu Front ◽  
Rain Band

Symbiotic Relationship between Meiyu Rainfall and the Morphology of Meiyu Front

2021 ◽  
Author(s):  
Xiaokang Wang ◽  
Renjun Zhou ◽  
Yi Deng ◽  
Chunguang Cui ◽  
Yang Hu ◽  
...  
Keyword(s):  
Convective Instability ◽  
Extreme Rainfall ◽  
Heavy Precipitation ◽  
Precipitation Event ◽  
Symbiotic Relationship ◽  
Atmospheric Layer ◽  
Band Shape ◽  
Meiyu Front ◽  
Rain Band ◽  
Lower Atmospheric Layer

Abstract Observational evidences from a heavy precipitation event of the 2020 extreme Meiyu season are presented here to reveal a symbiotic relationship between Meiyu rainfall and the morphology of Meiyu front. The two influence each other through dynamical and thermodynamic feedbacks and evolve in a coherent way to generate cyclic behaviors. Specifically, an intense and band-shaped Meiyu front leads to symmetrical instability in the lower atmospheric layer and convective instability in the middle atmospheric layer, forming a rain band along the front. The Meiyu front and its associated instability subsequently weakens as a result of rainfall and the front is bent by the process of tilting frontolysis. Deep convective instability in the middle and lower layers develops in the warm-humid prefrontal area, and triggers isolated heavy rainfall replacing the original rain band south of the bent front. This warm sector precipitation then strengthens the front through tilting and diabatic heating frontogenesis. A stronger front recovers its initial band shape and the associated rainfall also resumes the form of rain band along the front. Analyses of potential energy associated with instability, water vapor convergence, and cross-frontal circulation are carried out to illustrate key processes of this Meiyu front-rainfall cycle. The implications of this symbiotic relationship for simulating and predicting extreme rainfall associated with Meiyu fronts are presented.

A meso-α scale study of meiyu front heavy rain—Part I: Observational studies

1987 ◽  
Vol 4 (3) ◽  
pp. 264-277 ◽  
Author(s):  
Guoxiang Yang ◽  
Hancheng Lu ◽  
Qiqiang He
Keyword(s):  
Observational Studies ◽  
Heavy Rain ◽  
Meiyu Front

scholarly journals Evaluating the Forecast Performance of the Meiyu Front Rainbelt Position: A Case Study of the 30 June to 4 July 2016 Extreme Rainfall Event

Atmosphere ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 648 ◽  
Author(s):  
Jie Ma ◽  
Kevin A. Bowley ◽  
Fuqing Zhang
Keyword(s):  
Heavy Rainfall ◽  
Weather Prediction ◽  
Eastern China ◽  
Rainfall Event ◽  
Ensemble Prediction ◽  
Extreme Rainfall Event ◽  
Forecast Performance ◽  
Ensemble Prediction System ◽  
Meiyu Front ◽  
Rain Band

An impactful and poorly forecasted heavy rainfall event was observed in association with the Meiyu front over the Yangtze River valley of China from 30 June–4 July 2016. Operational global numerical weather prediction models for almost all forecast lead times beyond 24 h incorrectly forecasted the location and intensity of the precipitation associated with this event. This study presents the first examination of this poleward bias in the operational models for the Meiyu front, which has been frequently noted by meteorologists at the Chinese Meteorological Administration, and explores areas of forecast error and uncertainty in the prediction of the position of the primary frontal rainbelt that is crucial to the placement and intensity of the heavy rainfall. A new zonal mean maximum accumulated precipitation index is introduced and utilized to identify members in the European Centre for Medium-Range Forecasts (ECMWF) Ensemble Prediction System (EPS) that either perform well or perform poorly in forecasting the location of the Meiyu front. Using this new precipitation metric, five-member subgroups representing the EPS members that were most accurate and those that incorrectly displace the Meiyu front the furthest north were identified. An analysis of composite mean fields for the EPS subgroups and the correlation between the rain band placement and the 500 hPa heights was performed for several EPS model runs. We showed that a successful prediction of the location of the Meiyu front rainbelt position by the EPS is most sensitive to the intensity of the 500 hPa trough located over eastern China for the event. The ensemble members that had the largest northward error in the location of the rain band were found to have a more intense 500 hPa trough than the members that more accurately predicted the rainbelt. The more intense upper level trough was found to have enhanced the lower tropospheric southerly flow equatorward of the front and led to a less zonal-oriented Meiyu front, resulting in a northward displacement of both the rainbelt and the regions of more intense precipitation rates. Finally, an examination of the evolution of the differences between the subgroups shows that the primary differences in 500 hPa intensity propagate in-phase with the 500 hPa trough. We show that it is the intensity of the trough, rather than the rate of propagation, that is the most important source of forecast dissimilarities between the successful and failed forecasts.

Diagnosis of the Heavy Rain near a Meiyu Front Using the Wet Q Vector Partitioning Method

2003 ◽  
Vol 20 (1) ◽  
pp. 37-44 ◽  
Author(s):  
Coijun Yue ◽  
Shaowen Shou ◽  
Kaiping Lin ◽  
Xiuping Yao
Keyword(s):  
Heavy Rain ◽  
Meiyu Front ◽  
Q Vector

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

Dynamical analysis of the programmed cell death pathway

2007 ◽  
Author(s):  
Luciano Carotenuto ◽  
Vincenza Pace ◽  
Dina Bellizzi ◽  
Giovanna De Benedictis
Keyword(s):  
Cell Death ◽  
Programmed Cell Death ◽  
Dynamical Analysis ◽  
Cell Death Pathway

DISTRIBUIÇÃO ESPAÇO-TEMPORAL DOS DESASTRES HIDROMETEOROLÓGICOS NA MICRORREGIÃO PLUVIOMÉTRICAMENTE HOMOGÊNEA DO LITORAL PARAIBANO

2019 ◽  
Vol 21 (2) ◽  
pp. 467-476
Author(s):  
Wanessa Janinne Eloy Da Silva ◽  
Maressa Oliveira Lopes Araújo ◽  
Marcelo De Oliveira Moura
Keyword(s):  
Flash Flood ◽  
Temporal Distribution ◽  
Heavy Rain ◽  
Emergency Situations

O presente trabalho tem por objetivo analisar a distribuição espaço-temporal dos reconhecimentos de Situação de Emergência associados à dinâmica hidrometeorológica na microrregião pluviometricamente homogênea do Litoral paraibano, durante o período de 2003 a 2016. Para isso, foram utilizados dados adquiridos no site do Ministério da Integração Nacional, encontrados na página da Secretaria Nacional de Proteção e Defesa Civil, conforme reconhecimentos disponibilizados através de portarias. Como resultados principais, constatou-se um total de 29 reconhecimentos, em que 51,7% corresponde a enchentes; 20,7% a chuvas intensas; 24,2% correspondente a enxurradas e 3,4% a inundações. Considera-se que os resultados obtidos tiveram um cunho mais descritivo, necessitando assim de estudos mais avançados sobre a temática.Palavras chave: Litoral Paraibano, desastres hidrometeorológicos, situação de emergência. ABSTRACTThe present work has for objective analyze the space-temporal distribution of the emergency situations recognizements associated to the hydrometeorological dynamic on the pluviometrically homogenius microregion of the coast of Paraíba, during the period of 2003 to 2016. For that, data were used acquired from the Ministério da Integração Nacional’s site, found on the Secretaria Nacional de Proteção e Defesa Civil’s page, conform available recognizements through ordinances. As main results, a total of 29 recognizements were found, in which 51,7% corresponds to floods; 20,7% to heavy rain; 24,2% corresponding to flash flood and 3,4% to inundations. It’s considered that the obtained results have a descriptive label, needing then advanced studies about the theme.Keywords: Coast of Paraiba, hydrometeorlogical disasters, emergency situations. RESUMENEste documento tiene como objetivo analizar la distribución espacio-temporal de los reconocimientos de situaciones de emergencia com la dinâmica hidrometeorológica em la microrregión de lluvia homogénea de la costa paraibana, de 2003 a 2016. Para este propósito, se utilizaron los datos adquiridos del sitio web del Ministerio de Salud. Integración nacional, que se encuentra en la página de la Secretaría Nacional de Protección y Defensa Civil, como agradecimientos disponibles a través de ordenanzas. Como resultados principales, hubo un total de 29 reconocimientos, de los cuales el 51.7% correspondió a inundaciones; 20.7% a fuertes lluvias; 24.2% correspondientes a enxurradas y 3.4% a inundaciones. Se considera que los resultados obtenidos tuvieron una naturaleza más descriptiva, por lo que requirieron estúdios más avanzados sobre el tema.Palabras clave: Costa de Paraiba, desastres hidrometeorológicos, situación de emergencia.

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