Understanding the Variability of Z-R Relationships Caused by Natural Variations in Raindrop Size Distributions (DSD): Implication of Drop Size and Number

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"Understanding the Variability of Z-R Relationships Caused by Natural Variations in Raindrop Size Distributions (DSD): Implication of Drop Size and Number"
written by Abé D Ochou, Eric-Pascal Zahiri, Bakary Bamba, Manlandon Koffi,
published by Atmospheric and Climate Sciences, Vol.1 No.3, 2011

has been cited by the following article(s):

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[1]	Machine Learning Approach to Classify Rain Type Based on Thies Disdrometers and Cloud Observations Atmosphere, 2019 DOI:10.3390/atmos10050251

[2]	Analysis of Rain Types and Their Z–R Relationships at Different Locations in the High Andes of Southern Ecuador Journal of Applied Meteorology and Climatology, 2017 DOI:10.1175/JAMC-D-17-0009.1

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[4]	Consistency in Z-R Relationship Variability Regardless Precipitating Systems, Climatic Zones Observed from Two Types of Disdrometer Atmospheric and Climate Sciences, 2014 DOI:10.4236/acs.2014.45083

[5]	The Adjustment of Radar Precipitation Estimation Based on the Kriging Method Journal of the Korean earth science society, 2013 DOI:10.5467/JKESS.2013.34.1.13

[6]	Development and testing of the Active Temperature, Ozone and Moisture Microwave Spectrometer (ATOMMS) cm and mm wavelength occultation instrument Atmospheric Measurement Techniques, 2012 DOI:10.5194/amt-5-439-2012