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Souvik Majumder

Bio: Souvik Majumder is an academic researcher from University of Calcutta. The author has contributed to research in topics: Disdrometer & Medicine. The author has an hindex of 3, co-authored 8 publications receiving 25 citations.

Papers
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Journal ArticleDOI
TL;DR: In this paper , the use of metal-based photocatalysts, organic photoredox catalysts, energy transfer photocatalyst, and electron-donor-acceptor complexes in the functionalization of indazole and pyrazole is discussed.

20 citations

Journal ArticleDOI
TL;DR: In this article , an efficient, mild, economically viable, and green method for the construction of Csp2-Csp3 bond via coupling between a saturated hydrocarbon [(Csp 3)-H] and a heteroarene is presented.

20 citations

Proceedings ArticleDOI
01 Aug 2014
TL;DR: In this paper, the effects of the convective rain on various atmospheric parameters have been investigated at Kolkata (22.57°N, 88.37°E), India, during pre-monsoon and monsoon period of 2013.
Abstract: The effects of the convective rain on various atmospheric parameters have been investigated at Kolkata (22.57°N, 88.37°E), India, during pre-monsoon and monsoon period of 2013. Various parameters like cloud base height and depth, liquid water content, rain rate and rain drop size distribution (DSD) are observed concurrently. The atmospheric electric field measured with an electric field monitor and the attenuation and depolarisation of satellite signals measured by a Ku-band receiving system are also studied during rain events. The instability indices obtained from radiometric measurements and the rain height profiles from micro rain radar are used to classify rain into two types, namely, convective and stratiform. The signatures of rain events on multi-technique observations are studied to indicate the various aspects of convective processes at a tropical location.

19 citations

Journal ArticleDOI
TL;DR: In this paper, a ground-based radiometer has been utilized to study the characteristics of tropospheric delay and compared it with the MODIS satellite observations over Kolkata (22.57°N, 88.37°E).

5 citations

Journal ArticleDOI
TL;DR: The authors show how the problem can be handled in a standalone dual-frequency GPS receiver in a relatively less complicated manner with reasonable accuracy and indicate that the proposed methodology can be implemented for PWV estimation using single GPS receiver with satisfactory performance.
Abstract: Precipitable water vapour (PWV) is an important input for numerical weather prediction model, meteorology and high-precision navigational applications. Conventional methods for the determination of PWV using radiosonde are not sufficient owing to poor temporal resolution, whereas radiometer-derived PWV is reliable only in fair weather conditions. Global positioning system (GPS) is a very useful and cost-effective tool to determine PWV continuously in all weather conditions. The processing of GPS data to extract the PWV information is, however, very complicated due to very small effect of the PWV (~0.5% of total delay) on GPS frequencies than other sources of delay and errors and requires a network of GPS in differential configuration for such purpose. The authors show how the problem can be handled in a standalone dual-frequency GPS receiver in a relatively less complicated manner with reasonable accuracy. The performances of different dry tropospheric delay models are also investigated. The methodology is tested with GPS measurements at Kolkata (22.57°N, 88.37°E) and Bangalore (13.01°N, 77.5°E). The results indicate that the proposed methodology can be implemented for PWV estimation using single GPS receiver with satisfactory performance.

3 citations


Cited by
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Journal ArticleDOI
Zhuxiao Shao1, Bingchen Liang1, Huajun Li1, Guoxiang Wu1, Zhaohui Wu 
TL;DR: Wang et al. as mentioned in this paper proposed a blended TC wind model combining two datasets, which shows good capacity of the TC wind simulation, and applied the blended wind model is applied in TC wave simulations in the South China Sea and East China Sea (ECS) of 4 years (2011-2014).

72 citations

Journal ArticleDOI
TL;DR: In this article, a random forest based machine learning algorithm is tested for nowcasting of convective rain with a ground-based radiometer and the results indicate that the proposed model is very sensitive to the boundary layer instability as indicated by the variable importance measure.

36 citations

Journal ArticleDOI
TL;DR: In this article, the effectiveness of nowcasting convective activities using a microwave radiometer has been examined for Kolkata (22.65° N, 88.45° E), a tropical location.

26 citations

Journal ArticleDOI
TL;DR: In this paper, three retrieval techniques have been used to obtain the temperature and relative humidity profiles from brightness temperatures, namely; piecewise linear regression, feed forward neural network and neural back propagation network.

21 citations

Journal ArticleDOI
TL;DR: In this article, Radiometric observations of relative humidity profile at Kolkata show a significant fall at around 1 to 2 km height during convective rain events, which is not seen during calm conditions but is strongly related to the characteristics of temperature lapse rate profiles.

16 citations