Evaluation of topographical and seasonal feature using GPM IMERG and TRMM 3B42 over Far-East Asia

K Kim, J Park, J Baik, M Choi - Atmospheric Research, 2017 - Elsevier
The acquisition of accurate precipitation data is essential for analyzing various hydrological
phenomena and climate change. Recently, the Global Precipitation Measurement (GPM) …

[HTML][HTML] Cloud-to-ground lightning and Mesoscale Convective Systems

EV Mattos, LAT Machado - Atmospheric Research, 2011 - Elsevier
This work analyzes some physical and microphysical properties of Mesoscale Convective
Systems (MCSs) and cloud-to-ground lightning. Satellite data from the GOES-10 infrared …

Non-parametric rain/no rain screening method for satellite-borne passive microwave radiometers at 19–85 GHz channels with the Random Forests algorithm

T Islam, MA Rico-Ramirez, PK Srivastava… - International journal of …, 2014 - Taylor & Francis
This paper presents a novel non-parametric pattern recognition method to screen rain/no
rain status for satellite-borne passive microwave radiometers in the 19–85 GHz channels …

Rain rate retrieval algorithm for conical-scanning microwave imagers aided by random forest, RReliefF, and multivariate adaptive regression splines (RAMARS)

T Islam, PK Srivastava, Q Dai, M Gupta… - IEEE Sensors …, 2015 - ieeexplore.ieee.org
This paper proposes a rain rate retrieval algorithm for conical-scanning microwave imagers
(RAMARS), as an alternative to the NASA Goddard profiling (GPROF) algorithm, that does …

Estimation of heavy rainfall during cyclonic storms from microwave observations using nonlinear approach over Indian Ocean

AK Mishra - Natural hazards, 2012 - Springer
In this study, an effort has been made to study heavy rainfall events during cyclonic storms
over Indian Ocean. This estimate is based on microwave observations from tropical rainfall …

Study of rainfall from TRMM Microwave Imager observation over India

AK Mishra, R Kumar - International Scholarly Research Notices, 2012 - Wiley Online Library
This paper presents a technique to estimate precipitation over Indian land (6–36° N, 65–99°
E) at 0.25∘× 0.25∘ spatial grid using tropical rainfall measuring mission (TRMM) microwave …

Rainfall screening methodology using TRMM data over a river basin

J Indu, DN Kumar - Hydrological Sciences Journal, 2016 - Taylor & Francis
ABSTRACT A regionalized rain/no-rain classification (RNC) based on scattering index
methodology is developed for detecting rainfall signatures over the land regions of the …

Rain/No‐Rain Classification Using Passive Microwave Radiometers

J Indu, DN Kumar - Remote Sensing of the Terrestrial Water …, 2014 - Wiley Online Library
This chapter describes the foundations of rain/no‐rain classification (RNC) based on
passive microwave brightness temperatures, outstanding issues, areas of future research …

Development of a regional rain retrieval algorithm for exclusive mesoscale convective systems over peninsular India

D Dutta, S Sharma, J Das, RM Gairola - Advances in space research, 2012 - Elsevier
The present study emphasize the development of a region specific rain retrieval algorithm by
taking into accounts the cloud features. Brightness temperatures (Tbs) from various TRMM …

[PDF][PDF] 1. Rain/No-Rain Classification Using Passive Microwave Radiometers

IP ScanSAR, E Altimetry, G Data - civil.iisc.ac.in
Venkat Lakshmi, Douglas Alsdorf, Martha Anderson, Sylvain Biancamaria, Michael H. Cosh,
Jared Entin, George J. Huffman, William Kustas, Peter van Oevelen, Thomas H. Painter …