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

Home > Journals > Earth & Environmental Sciences >ACS

ISSN Print: 2160-0414
ISSN Online: 2160-0422

Website: https://www.scirp.org/journal/acs/
E-mail: acs@scirp.org

Citations h5-index & Ranking

Submission

"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):

Google Scholar
CrossRef

[1]	One, No One, and One Hundred Thousand: The Paradigm of the Z–R Relationship
	2020

[2]	Discernment of near-oceanic precipitating clouds into convective or stratiform based on Z–R model over an Asian monsoon tropical site
	2019

[3]	Machine Learning Approach to Classify Rain Type Based on Thies Disdrometers and Cloud Observations
	2019

[4]	Analysis of Rain Types and Their Z–R Relationships at Different Locations in the High Andes of Southern Ecuador
	2017

[5]	CHARACTERIZATION AND EFFECTS OF RADAR-MEASURED RAINFALL PARAMETERS IN TROPICAL CONVECTIVE AND STRATIFORM RAINS
	2017

[6]	Precipitation Type Specific Radar Reflectivity-Rain Rate Relationships for Warsaw, Poland
	Acta Geophysica, 2016

[7]	Improving radar rainfall estimation by merging point rainfall measurements within a model combination framework
	Advances in Water Resources, 2016

[8]	On the seasonal variability of raindrop size distribution and associated variations in reflectivity–Rainrate relations at Tirupati, a tropical station
	Journal of Atmospheric and Solar-Terrestrial Physics, 2016

[9]	Comparison of the TRMM Precipitation Radar rainfall estimation with ground-based disdrometer and radar measurements in South Greece
	Atmospheric Research, 2016

[10]	Radar rainfall estimation: consideration of input and structural uncertainty
	2016

[11]	Consistency in Z-R Relationship Variability Regardless Precipitating Systems, Climatic Zones Observed from Two Types of Disdrometer
	2014

[12]	Correcting bias in radar Z–R relationships due to uncertainty in point rain gauge networks
	Journal of Hydrology, 2014

[13]	Consistency in ZR Relationship Variability Regardless Precipitating Systems, Climatic Zones Observed from Two Types of Disdrometer
	Atmospheric and Climate Sciences, 2014

[14]	Correcting bias in radar Z– R relationships due to uncertainty in point rain gauge networks
	Journal of Hydrology, 2014

[15]	크리깅 방법을 기반으로 한 레이더 강우강도 오차 조정
	2013

[16]	The Adjustment of Radar Precipitation Estimation Based on the Kriging Method
	Journal of the Korean earth science society, 2013

[17]	Development and testing of the Active Temperature, Ozone and Moisture Microwave Spectrometer (ATOMMS) cm and mm wavelength occultation instrument
	Atmospheric Measurement Techniques, 2012

[18]	Seasonal variability of raindrop size distributions characteristics regarding to climatic parameters over coastal area of West Africa

[1]	One, No One, and One Hundred Thousand: The Paradigm of the Z–R Relationship Journal of Hydrometeorology, 2020 DOI:10.1175/JHM-D-19-0177.1

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

[3]	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

[4]	Correcting bias in radar Z – R relationships due to uncertainty in point rain gauge networks Journal of Hydrology, 2014 DOI:10.1016/j.jhydrol.2014.09.060

[5]	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

[6]	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

[7]	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