Journal ArticleDOI
Prediction of Rain Occurrence and Accumulation Using Multifrequency Radiometric Observations
Animesh Maitra,Rohit Chakraborty +1 more
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TLDR
A nowcasting technique has been proposed to estimate the impending rain accumulation using ground-based radiometric measurements at Kolkata, a tropical location, and a prediction model is developed and tested on several intense rain events during the period 2014–2015.Abstract:
A nowcasting technique has been proposed to estimate the impending rain accumulation using ground-based radiometric measurements at Kolkata (22.65°N, 88.45°E), a tropical location. It has been observed that the normalized variation of brightness temperature (BT) at 31 GHz along with the standard deviation of BT at 22 GHz and instability indices, namely, lifting index, have shown definite changes before rain events. A combination of these three parameters can be effective in predicting rain events both qualitatively and quantitatively. Accordingly, a prediction model is developed and tested on several intense rain events during the period 2014–2015. The model is found to perform reasonably well in predicting intense rain about 70–75 min in advance with an efficiency of 80%.read more
Citations
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Journal ArticleDOI
Electric Field Variation in Clear and Convective Conditions at a Tropical Urban Location
Soumyajyoti Jana,Animesh Maitra +1 more
Climatology of lightning activities across the Equatorial African region
TL;DR: In this article , the role of various factors such as orography, moisture availability, aerosol nucleation, and atmospheric instability behind the spatio-temporal distribution of lightning properties over the Equatorial Central African region which experiences the most frequent lightning activity globally was investigated.
Journal ArticleDOI
Lightning Prediction Using Electric Field Measurements Associated with Convective Events at a Tropical Location
TL;DR: In this article , the authors used an electric field monitor (EFM) at a tropical urban location, Kolkata (22.65°N, 88.45°E).
Book ChapterDOI
Rainfall Prediction Using Logistic Regression and Support Vector Regression Algorithms
TL;DR: In this paper, the authors distinguish the issues of rainfall prediction and fixing them using the machine learning algorithms like Logistic Regression method and Support Vector Regression, which is best suitable for prediction of rainfall with accuracy 96% when compare to the support vector regression algorithm.
Proceedings ArticleDOI
Microphysical impact of aerosols on cloud electrification efficiencies over the Indian region
TL;DR: In this article, an attempted has been done to explain the non-linear interrelationships between lightning and its various controlling factors, and this relationship has been utilized on global model simulations to reveal a further intensification of lightning radiance efficiencies in the marine environments and a relative dimming in land regions based on prevalent aerosol concentrations in future decades which may be alarming for policy makers.
References
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Journal ArticleDOI
The Relationship between Large-Scale Convective Rainfall and Cold Cloud over the Western Hemisphere during 1982-84
TL;DR: In this article, the authors presented estimates of areal and time-averaged convective precipitation derived from geostationary satellite imagery using a simple thresholding technique, which is based on measurements of the monthly mean fraction of 2.5° × 2. 5° areas covered by clouds whose equivalent blackbody temperature in infrared imagery is below 235 K.
Journal ArticleDOI
Tropospheric water vapor, convection, and climate
TL;DR: In this article, a theory appears to be in place to predict humidity in the free troposphere if winds are known at large scales, providing a crucial link between small-scale behavior and large-scale mass and energy constraints.
Journal ArticleDOI
The Relationship between Fractional Coverage of High Cloud and Rainfall Accumulations during GATE over the B-Scale Array
TL;DR: In this article, a description of the relationship between 6 h averages of fractional coverage of cloud above various height and temperature thresholds, derived from infrared data from the Synchronous Meteorological Satellite 1 (SMS 1), and accumulated rainfall was given.
Journal ArticleDOI
Nowcasting severe convective activity over southeast India using ground‐based microwave radiometer observations
TL;DR: In this article, the feasibility of nowcasting convective activity is examined by using thermodynamic indices derived from the ground-based microwave radiometer (MWR) observations located at a tropical station, Gadanki (13.5°N, 79.2°E).
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