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Journal ArticleDOI

Prediction of convective events using multi-frequency radiometric observations at Kolkata

TLDR
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.
About
This article is published in Atmospheric Research.The article was published on 2016-03-01. It has received 26 citations till now. The article focuses on the topics: Nowcasting.

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Citations
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A random forest algorithm for nowcasting of intense precipitation events

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.
Journal ArticleDOI

Nowcasting of deep convective clouds and heavy precipitation: Comparison study between NWP model simulation and extrapolation

TL;DR: In this article, an evaluation of convective cloud forecasts performed with the numerical weather prediction (NWP) model COSMO and extrapolation of cloud fields is presented using observed data derived from the geostationary satellite Meteosat Second Generation (MSG).
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East-west coastal asymmetry in the summertime near surface wind speed and its projected change in future climate over the Indian region

TL;DR: In this paper, the authors investigated the behavior of various meteorological parameters during 1981-2010 to obtain any asymmetric variability of summertime near surface wind over Indian coastal boundaries, and found that no significant changes were obtained in the trends of surface pressure, surface relative humidity, 2-metre temperature and surface precipitation.
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Evaluating the impact of climate change in threshold values of thermodynamic indices during pre-monsoon thunderstorm season over Eastern India

TL;DR: In this article, the authors analyzed thermodynamic indices variation over three sites of eastern Indian region: Bhubaneswar, Kolkata and Ranchi, associated with pre-monsoon thunderstorms for 20-year period (1987-2006) for Bhubaneh and Kolkatha and 15-years (1996-2010) for Ranchi.
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Retrieval of atmospheric properties with radiometric measurements using neural network

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.
References
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Journal ArticleDOI

Estimating Downburst-Related Maximum Surface Wind Speeds by Means of Proximity Soundings in New South Wales, Australia

TL;DR: In this article, a regional climatology of strong wind gusts associated with thunderstorms is presented, and the ability to estimate gust strength from ambient conditions is tested, and strong wind events were selected for 10 stations in New South Wales, Australia, from anemograph records and coincident thunderstorm reports.
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Effect of off-zenith observations on reducing the impact of precipitation on ground-based microwave radiometer measurement accuracy

TL;DR: In this paper, the authors investigated the impact of precipitation on the accuracy of MWR measurement accuracy as well as the effect of off-zenith neural network methods on it by using the MWR-retrieved temperature and humidity profiles with collocated radiosondes from June 2010 to September 2013 in Wuhan.
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Results of Year-Round Remotely Sensed Integrated Water Vapor by Ground-Based Microwave Radiometry

TL;DR: In this article, two years of measurements with a time resolution of 1 min, some climatological findings on precipitable water vapor and cloud liquid water (CLW) in central Europe are given.
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The Total Energy Environment of Severe Storms

TL;DR: In this article, the distribution in time and space of the total specific energy (cpT + gZ + Lq + V2/2) of the environment of severe storms is examined.
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Spatial distribution of thermodynamic conditions of severe storms in southwestern Europe

TL;DR: In this paper, the authors used a database of 100 days with severe storms (SSs) over a 13-year period between 2001 and 2013, and obtained vertical profiles predicted by the WRF mesoscale model.
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