scholarly journals Interaction of an easterly system with a westerly system and its associated weather over southern Peninsula

MAUSAM ◽  
2021 ◽  
Vol 49 (4) ◽  
pp. 449-452
Author(s):  
R. LAKSHMINARAYANAN

During the week 11-17 April 1996 southern Peninsula received good rainfall especially with heavy rainfall on 13 and 15 April 1996 in Tamilnadu making the seasonal rainfall from 1 March to 17 April 1996 into large excess in south interior Kamataka and excess in Tamilnadu and north interior Kamataka. In this paper. an attempt is made to investigate in the synoptic situations leading to the large excess rainfall over these areas during the week 11- 17 April 1996.

2016 ◽  
Vol 8 (3) ◽  
pp. 412-422 ◽  
Author(s):  
Jong-Suk Kim ◽  
Chan-Young Son ◽  
Young-Il Moon ◽  
Joo-Heon Lee

This study aims to identify how different evolution patterns of the central Pacific (CP) El Niño influence seasonal rainfall and intense rainfall occurrence in Korea. The results suggest that changes in the CP El Niño can influence the spatiotemporal patterns of seasonal and heavy rainfall over East Asia. Specifically, for the Korean Peninsula, rainfall was typically lower during the years with the abrupt-decaying and prolonged-decaying CP El Niño evolution patterns. During the symmetric-decaying years, more rainfall occurred over the Korean Peninsula, and heavy rainfall events were concentrated in the central regions. Hence, flooding poses a risk to the Korean Peninsula and such risks may be heightened during symmetric-decaying CP El Niño years. Although this study relies on relatively short-term observation events and samples, the results provide a starting point for a more detailed examination of the large-scale and local factors for developing adaptive strategies to protect water resources and to plan for extreme weather events in a changing climate.


2016 ◽  
Vol 68 (2-3) ◽  
pp. 243-255 ◽  
Author(s):  
EM de Jesus ◽  
RP da Rocha ◽  
MS Reboita ◽  
M Llopart ◽  
LM Mosso Dutra ◽  
...  

2019 ◽  
Author(s):  
Antoine Maruani ◽  
Peter A. Szijj ◽  
Calise Bahou ◽  
João C. F. Nogueira ◽  
Stephen Caddick ◽  
...  

<p>Diseases are multifactorial, with redundancies and synergies between various pathways. However, most of the antibody-based therapeutics in clinical trials and on the market interact with only one target thus limiting their efficacy. The targeting of multiple epitopes could improve the therapeutic index of treatment and counteract mechanisms of resistance. To this effect, a new class of therapeutics emerged: bispecific antibodies.</p><p>Bispecific formation using chemical methods is rare and low yielding and/or requires a large excess of one of the two proteins to avoid homodimerisation. In order for chemically prepared bispecifics to deliver their full potential, high-yielding, modular and reliable cross-linking technologies are required. Herein, we describe a novel approach not only for the rapid and high-yielding chemical generation of bispecific antibodies from native antibody fragments, but also for the site-specific dual functionalisation of the resulting bioconjugates. Based on orthogonal clickable functional groups, this strategy enables the assembly of functionalised bispecifics with controlled loading in a modular and convergent manner.</p>


2002 ◽  
Vol 2 (3) ◽  
pp. 17-22
Author(s):  
A.P. Wyn-Jones ◽  
J. Watkins ◽  
C. Francis ◽  
M. Laverick ◽  
J. Sellwood

Two rural spring drinking water supplies were studied for their enteric virus levels. In one, serving about 30 dwellings, the water was chlorinated before distribution; in the other, which served a dairy and six dwellings the water was not treated. Samples of treated (40 l) and untreated (20 l) water were taken under normal and heavy rainfall conditions over a six weeks period and concentrated by adsorption/elution and organic flocculation. Infectious enterovirus in concentrates was detected in liquid culture and enumerated by plaque assay, both in BGM cells, and concentrates were also analysed by RT-PCR. Viruses were found in both raw water supplies. Rural supplies need to be analysed for viruses as well as bacterial and protozoan pathogens if the full microbial hazard is to be determined.


Author(s):  
Pundra Chandra Shaker Reddy ◽  
Alladi Sureshbabu

Aims & Background: India is a country which has exemplary climate circumstances comprising of different seasons and topographical conditions like high temperatures, cold atmosphere, and drought, heavy rainfall seasonal wise. These utmost varieties in climate make us exact weather prediction is a challenging task. Majority people of the country depend on agriculture. Farmers require climate information to decide the planting. Weather prediction turns into an orientation in farming sector to deciding the start of the planting season and furthermore quality and amount of their harvesting. One of the variables are influencing agriculture is rainfall. Objectives & Methods: The main goal of this project is early and proper rainfall forecasting, that helpful to people who live in regions which are inclined natural calamities such as floods and it helps agriculturists for decision making in their crop and water management using big data analytics which produces high in terms of profit and production for farmers. In this project, we proposed an advanced automated framework called Enhanced Multiple Linear Regression Model (EMLRM) with MapReduce algorithm and Hadoop file system. We used climate data from IMD (Indian Metrological Department, Hyderabad) in 1901 to 2002 period. Results: Our experimental outcomes demonstrate that the proposed model forecasting the rainfall with better accuracy compared with other existing models. Conclusion: The results of the analysis will help the farmers to adopt effective modeling approach by anticipating long-term seasonal rainfall.


2017 ◽  
Vol 2017 (4) ◽  
pp. 5684-5698
Author(s):  
Yuki Kuwahara ◽  
Yoshiharu Itaya ◽  
Yuji Itou

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