Some characteristics of southwest monsoon rainfall over  urban entres in Andhra Pradesh and Telangana

In the present study daily rainfall data for 46 years (1969-2014) was selected for the urban stations and surrounding stations for coastal areas of Coastal Andhra Pradesh (CAP) and inland areas of Telanagana (TEL) and Rayalaseema (RSM). The statistics such as regression, standard deviation and coefficient of variance, significance test using t-test, Mann-Kandell test were worked out for the entire period for the stations. The stations were selected on the basis where the period of data is same. The t-test thus performed for all stations showed significance (p < 0.001) in seasonal rainfall (JJAS) for all the stations. Further z-statistics using Mann-Kandell test was performed that showed significant increase at 95% confidence level for Gannavaram, Machilipatnam and Visakhapatnam along the coast of Andhra Pradesh state. Over Telengana, Hyderabad (Urban centre) an inland station, showed significant increase at 90% level of confidence for extreme heavy rainfall events. Henceforth, seperate studies for each urban centre (Visakhapatnam, Gannavaram, Machilipatnam and Hyderabad) were done and results showed significant increase in rainfall over urban centres compared to other surrounding stations and the significant increase in rainfall was observed for the coastal stations along Andhra Pradesh coast when compared to inland stations of Telanagana and Rayalaseema.

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DAKSHIN BHARTIYA PADHAR PAR HONE WALI MONSOON WARSHA KA PRADHAN AVYAV VISHLESHAN

MAUSAM ◽

10.54302/mausam.v48i1.3939 ◽

2021 ◽

Vol 48 (1) ◽

pp. 77-82

Author(s):

O.P. SINGH

Keyword(s):

Principal Components ◽

Andhra Pradesh ◽

Monsoon Rainfall ◽

Principal Component ◽

Southwest Monsoon ◽

Northeast Monsoon ◽

Northeast Monsoon Rainfall ◽

Total Variability ◽

Southwest Monsoon Rainfall ◽

The Impact

The result of the Principal Component Analysis of southwest and northeast monsoon rainfall on the southern India plateau have been discussed. Monsoon rainfall data of five meteorological sub-divisions, i.e., Coastal Andhra Pradesh, Rayalseema, Tamilnadu, Interior parts of South Karnataka & Kerala, for a period of 33 years (1960-92), have been utilized. The results indicate that the rainfall of Coastal Andhra Pradesh and Rayalseema has maximum impact on first principal component of southwest monsoon rainfall of five meteorological sub-divisions. The study of only first principal component is sufficient in order to understand the 49% of total variability of southwest monsoon rainfall. Analysis of first three principal components is important to understand 85% of total variability of the rainfall of this season. On the first principal component of northeast monsoon rainfall of aforesaid five meteorological sub-divisions the impact of the rainfall of Kerala and south interior Karnataka has been found maximum. In order to understand the 56% of total variability the analysis of first principal component is sufficient. The special negative relation is found between northeast monsoon rainfall on the Coastal Andhra Pradesh and southwest monsoon rainfall of previous year on this very sub-division and Rayalseema. The principal components of southwest monsoon rainfall may prove useful for forecasting the northeast monsoon rainfall of southern Indian plateau.

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Mesoscale Analysis of Heavy Rainfall Episodes from SoWMEX/TiMREX

Journal of the Atmospheric Sciences ◽

10.1175/jas-d-11-0120.1 ◽

2012 ◽

Vol 69 (2) ◽

pp. 521-537 ◽

Cited By ~ 33

Author(s):

Christopher A. Davis ◽

Wen-Chau Lee

Keyword(s):

Heavy Rainfall ◽

Southwest Monsoon ◽

Rainfall Events ◽

Mesoscale Analysis ◽

Mesoscale Structure ◽

Profound Influence ◽

Moist Condition ◽

Virtual Temperature ◽

Convection Initiation ◽

Heavy Rainfall Events

Abstract The authors analyze the mesoscale structure accompanying two multiday periods of heavy rainfall during the Southwest Monsoon Experiment and the Terrain-Induced Mesoscale Rainfall Experiment conducted over and near Taiwan during May and June 2008. Each period is about 5–6 days long with episodic heavy rainfall events within. These events are shown to correspond primarily to periods when well-defined frontal boundaries are established near the coast. The boundaries are typically 1 km deep or less and feature contrasts of virtual temperature of only 2°–3°C. Yet, owing to the extremely moist condition of the upstream conditionally unstable air, these boundaries appear to exert a profound influence on convection initiation or intensification near the coast. Furthermore, the boundaries, once established, are long lived, possibly reinforced through cool downdrafts and prolonged by the absence of diurnal heating over land in generally cloudy conditions. These boundaries are linked phenomenologically with coastal fronts that occur at higher latitudes.

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YEAST IN SOUTHWEST MONSOON RAINWATER

Fungal Territory ◽

10.36547/ft.2020.3.3.4-8 ◽

2020 ◽

Vol 3 (3) ◽

pp. 4-8

Author(s):

SHEELA PAL

Keyword(s):

Phase Contrast ◽

Monsoon Rainfall ◽

Southwest Monsoon ◽

Yeast Cells ◽

Successful Isolation ◽

Tentative Model ◽

Bacteria And Fungi ◽

Southwest Monsoon Rainfall ◽

Ascomycetous Yeasts ◽

Extreme Care

Strong evidence of the presence of bacteria and fungi in the tropospheric boundary layer is available in the literature. We report successful isolation of unique morphotypes of wild ascomycetous yeasts from rainwater samples collected directly in sterile containers, taking extreme care to avoid ambient contamination. Direct and quick visualization of fresh rainwater samples under a phase contrast microscope indicated the sporadic presence of yeast cells. Further confirmation of the presence of yeast was obtained by plating of rainwater on a medium with antibiotics to generate pure colonies. We described their characteristics while molecular identification revealed it as Candida tropicalis. Yeast species could contribute valuable knowledge about yeast transportation in the atmosphere. However, knowledge is insufficient about the yeast deposited from the atmosphere and its transportation across the atmosphere. We report and discuss these interesting and exciting results which are useful in understanding the microbiological dimension of meteorology and the southwest monsoon rainfall in the light of present discourse on global warming and climate change. We offer a tentative model for a possible source, role, and fate of the yeasts in rainwater.

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An empirical model for the seasonal prediction of southwest monsoon rainfall over Kerala, a meteorological subdivision of India

International Journal of Climatology ◽

10.1002/joc.1577 ◽

2008 ◽

Vol 28 (6) ◽

pp. 823-831 ◽

Cited By ~ 17

Author(s):

Lorna R. Nayagam ◽

Rajesh Janardanan ◽

H. S. Ram Mohan

Keyword(s):

Empirical Model ◽

Monsoon Rainfall ◽

Seasonal Prediction ◽

Southwest Monsoon ◽

Southwest Monsoon Rainfall

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The Effect of Urban Expansion in Metro Manila on the Southwest Monsoon Rainfall

Asia-Pacific Journal of Atmospheric Sciences ◽

10.1007/s13143-019-00140-x ◽

2019 ◽

Cited By ~ 1

Author(s):

Julie Mae Dado ◽

Gemma Teresa Narisma

Keyword(s):

Monsoon Rainfall ◽

Urban Expansion ◽

Southwest Monsoon ◽

Metro Manila ◽

Southwest Monsoon Rainfall

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Decreasing southwest monsoon rainfall over Myanmar in the prevailing global warming era

Meteorological Applications ◽

10.1002/met.1816 ◽

2019 ◽

Vol 27 (1) ◽

Cited By ~ 1

Author(s):

G. China Satyanarayana ◽

Venkata Bhaskar Rao Dodla ◽

Desamsetti Srinivas

Keyword(s):

Global Warming ◽

Monsoon Rainfall ◽

Southwest Monsoon ◽

Southwest Monsoon Rainfall

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Partial Beam Blockage Correction Using Polarimetric Radar Measurements

Journal of Atmospheric and Oceanic Technology ◽

10.1175/jtech-d-12-00075.1 ◽

2013 ◽

Vol 30 (5) ◽

pp. 861-872 ◽

Cited By ~ 12

Author(s):

P. Zhang ◽

D. Zrnić ◽

A. Ryzhkov

Keyword(s):

Monsoon Rainfall ◽

Radar Data ◽

Southwest Monsoon ◽

Rainfall Events ◽

Differential Phase ◽

High Rise ◽

Digital Elevation ◽

Radar Measurements ◽

Elevation Model ◽

Reflectivity Factor

Abstract A new method for mitigation of partial beam blockage that uses the consistency between reflectivity factor Z and specific differential phase KDP and their radial integrals in rain is presented. The immunity of differential phase ΦDP to partial beam blockage is utilized to estimate the bias of reflectivity factor caused by beam blockage. The algorithm is tested on dual-polarization radar data collected by the NCAR S-band polarimetric Dopper radar system (S-Pol) during the Southwest Monsoon Experiment/Terrain-Influenced Monsoon Rainfall Experiment (SoWMEX/TiMREX) in June 2008 in Taiwan. Corrected reflectivity factors in the blocked sectors are compared with corresponding values deduced from a digital elevation model (DEM) to show the advantage of the suggested method in areas where obstacles such as high-rise buildings cause additional blockage that is not accounted for by DEM. The accuracy and robustness of the method is quantitatively evaluated using a series of radar volume scans obtained in three rainfall events.

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