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

2019 ◽  
Vol 27 (1) ◽  
Author(s):  
G. China Satyanarayana ◽  
Venkata Bhaskar Rao Dodla ◽  
Desamsetti Srinivas
Keyword(s):  
Global Warming ◽  
Monsoon Rainfall ◽  
Southwest Monsoon ◽  
Southwest Monsoon Rainfall

scholarly journals YEAST IN SOUTHWEST MONSOON RAINWATER

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.

scholarly journals The Effect of Tropical Cyclones on Southwest Monsoon Rainfall in the Philippines

2011 ◽  
Vol 89A ◽  
pp. 123-139 ◽  
Author(s):  
Esperanza O. CAYANAN ◽  
Tsing-Chang CHEN ◽  
Josefina C. ARGETE ◽  
Ming-Cheng YEN ◽  
Prisco D. NILO
Keyword(s):  
Tropical Cyclones ◽  
Monsoon Rainfall ◽  
Southwest Monsoon ◽  
The Philippines ◽  
Southwest Monsoon Rainfall

A climatological analysis of the southwest monsoon rainfall in the Philippines

2013 ◽  
Vol 122 ◽  
pp. 609-616 ◽  
Author(s):  
F.T. Cruz ◽  
G.T. Narisma ◽  
M.Q. Villafuerte ◽  
K.U. Cheng Chua ◽  
L.M. Olaguera
Keyword(s):  
Monsoon Rainfall ◽  
Southwest Monsoon ◽  
The Philippines ◽  
Southwest Monsoon Rainfall

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

MAUSAM ◽  
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.  

scholarly journals Recent models for long range forecasting of Southwest monsoon rainfall in India

MAUSAM ◽  
2021 ◽  
Vol 43 (3) ◽  
pp. 239-248
Author(s):  
V. THAPLIYAL ◽  
S. M. KULSHRESTHA
Keyword(s):  
Long Range ◽  
Monsoon Rainfall ◽  
India Meteorological Department ◽  
Scientific Work ◽  
Southwest Monsoon ◽  
Scientific Basis ◽  
Seasonal Forecasts ◽  
Dynamic Stochastic ◽  
The Times ◽  
Southwest Monsoon Rainfall

India has a long tradition of scientific work or, long range forecasting of the southwest monsoon ever since the times of Blanford and Walker In the early Parts of this century, the recent decades have witnessed increased research in regard to the development of new long range forecast models in the India Meteorological Department which have, given correct long range (seasonal) forecasts of southwest monsoon rainfall, over the country as a whole, during, the successive four year~, 1988 to 1991, Presently, four models namely, Para-metric Power Regression, Dynamic Stochastic Transfer and Improved Multiple Regression models are being used for formulating the seasonal forecast of monsoon rainfall over the country as a whole, The forecast is issued in two stages, In the first stage a tentative inference which is qualitative in nature is issued before the middle of April based mainly on the Parametric model which utilizes signals from 16 regional and global parameters that are related to land, ocean and atmospheric forcing and show physical linkages with monsoon. In the second stage, a firm quantitative forecast is issued towards the end of the May and is based on the remaining three models mentioned above, although higher weight age is given to the Power Regression Model which has shown encouraging performance during the last four years. In this paper, these recently developed models and the scientific basis underlying these are discussed, Data on validation of these Operational models, used for the long range  forecast during the past four years (1988-91) are also presented.

scholarly journals Annual and monthly rainfall trend in plantation and spice farming Western Ghats districts

1970 ◽  
pp. 45
Author(s):  
K Kandiannan, K S Krishnamurthy, C K Thankamani, S J Ankegowda
Keyword(s):  
Coefficient Of Variation ◽  
Western Ghats ◽  
Monsoon Rainfall ◽  
Southwest Monsoon ◽  
Monthly Rainfall ◽  
Negative Trend ◽  
Annual Rainfall ◽  
Post Monsoon ◽  
The Nilgiris ◽  
Southwest Monsoon Rainfall

Rainfall analysis of important plantation and spices producing districts such as The Nilgiris (Tamil Nadu), Kodagu (Karnataka) Idukki (Kerala) and Wayanad (Kerala) with 100 years data (1901 to 2000) obtained from the India Meteorological Department (IMD), Pune indicated that mean annual rainfall were 1839.7mm, 2715.7mm, 2979.4mm and 3381.0mm with a coefficient of variation (CV) of 16.0%, 17.0%, 25.8% and 19.6%, respectively. The contribution of southwest monsoon(June-September) to the annual rainfall in these districts were 80.3% (Wayanad), 78.9% (Kodagu),  65.2% (Idukki) and 56.3%  (The Nilgiris) with corresponding CV of 24.1%, 20.6%, 32.5%, and 24.6%, respectively. The declining trend in mean annual rainfall was noticed for Idukki, Wayanad and The Nilgiris, whereas, for Kodagu, it was stable. The change was significant in Wayanad and The Nilgiris. Similar trend was also observed for the southwest monsoon rainfall. The maximum decline in annual and southwest monsoon rainfall was noticed in The Nilgiris followed by Wayanad. Pre and post monsoon rainfall receipts were comparatively less with high inter-annual variations. The pre-monsoon (March-May) receipt and its coefficient of variation (CV) was 252.4mm & 20.6% (Kodagu), 360.9mm & 36.5% (Idukki), 251.7mm & 36.6% (The Nilgiris) and 274.2mm & 54.2% (Wayanad). The post monsoon (October-December) rain was maximum in Idukki 548.1mm (CV 27.9%) followed by The Nilgiris 503.4mm(CV 31.3%), Wayanad, 333.1mm(CV 37.8%) and Kodagu 310.5mm (CV 32.7%). In all these districts there was a declining trend in the pre-monsoon rain with maximum decline in The Nilgiris. Similar declining trend was also observed in post-monsoon rain except for The Nilgiris, where the trend has been increasing. Overall, the study gives an indication that there was a spatial and temporal variation in rainfall amounts.  The maximum decline in annual rainfall and the southwest monsoon was observed in The Nilgiris and Wayanad. July was the rainiest month in all the districts studied. Significant negative trend was asscoaited with The Nilgiris for January, May, June, July and August months. Whereas, in Kodagu, no significant trend was observed for mean monthly rainfall, except for August. In Idukki, significant negative changes were noticed for January, March, October and December rainfall. Monthly rainfall of January, March, April and July monthly rainfall were showed significant negative trend in Wayanad,. These negative trends across important plantation and spices producing districts of the Western Ghats would affect not only the agricultural economy of this sector but also water resources.

scholarly journals A POWER REGRESSION MODEL FOR LONG RANGE FORECAST OF SOUTHWEST MONSOON RAINFALL OVER INDIA

MAUSAM ◽  
2021 ◽  
Vol 42 (2) ◽  
pp. 125-130
Author(s):  
VASANT GOWARIKER ◽  
V. THAPLIYAL ◽  
S. M. KULSHRESTHA ◽  
G. S. MANDAL ◽  
N. SEN ROY ◽  
...  
Keyword(s):  
Regression Model ◽  
Detailed Analysis ◽  
Long Range ◽  
Monsoon Rainfall ◽  
India Meteorological Department ◽  
Southwest Monsoon ◽  
Climatic Conditions ◽  
The Past ◽  
Interactive Nature ◽  
Southwest Monsoon Rainfall

A detailed analysis of southwest monsoon (June to September) rainfall over India of several decades vis-a-vis the regional and global antecedent signals in numerous permutations and combinations has led the authors to conclude that a long range forecast based on one, two, three or four parameters as attempted by several workers in the past, cannot be reliable on all occasions as indeed has proved to be the case. The parametric and power regression models utilizing 16 parameters, described in the present paper, suggest that it is a tapestry of several parameters and interactive nature of the regional and global climatic forcings that govern the quality and quantity of the monsoon. A detailed analysis of non-linear interactions among the antecedent climatic conditions and the monsoon has led the authors to introduce the concept of proportionate weightage to the signals of different parameters. This has led to the development of a power regression model, which is able to quantify the effect of each parameter. Details of the model are presented, Based on the model, the India Meteorological Department has been issuing the operational long range forecast of monsoon rainfall over India as a whole during the past 3 years, 1988 to 1990, and these forecasts have proved to be correct.

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