Extreme rainfall events over Rio de Janeiro State, Brazil: Characterization using probability distribution functions and clustering analysis-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Extreme rainfall events over Rio de Janeiro State, Brazil: Characterization using probability distribution functions and clustering analysis

Published:2021-01 Issue: Volume:247 Page:105221
ISSN:0169-8095
Container-title:Atmospheric Research
language:en
Short-container-title:Atmospheric Research

Author:

Lima Allana Oliveira,Lyra Gustavo Bastos,Abreu Marcel Carvalho,Oliveira-Júnior José Francisco,Zeri Marcelo,Cunha-Zeri Gisleine

Funder

National Institute of Meteorology

Brazilian Nacional Water Agency

Brazilian National Council for Scientific and Technological Development

Improvement of Higher Education Personnel

Publisher

Elsevier BV

Subject

Atmospheric Science

Reference79 articles.

1. Köppen’s climate classification map for Brazil;Alvares;Meteorol. Zeitschrift,2013

2. Hidroweb V3.1.1;ANA,2019

3. Critérios para Escolha de Distribuições de Probabilidades em Estudos de Eventos Extremos de Precipitação;Abreu;Rev. Bras. Meteorol.,2018

4. Variability of annual daily maximum rainfall of Dhaka;Ahammed;Bangladesh. Atmos. Res.,2014

5. Selection of the best fit probability distribution in rainfall frequency analysis for Qatar;Al Mamoon;Nat. Hazards,2017

Cited by 54 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Geostatistical modeling of the rainfall patterns and monthly multiscale characterization of drought in the South Coast of the Northeast Brazilian via Standardized Precipitation Index;Atmospheric Research;2024-12

2. Ancient wisdom: A new perspective on the past and future Chinese precipitation patterns based on the twenty-four solar terms;Journal of Hydrology;2024-09

3. Extreme rainfall forecasting using a hybrid model approach - A case study of the Ajay River basin;2024-08-16

4. Study of the Spatiotemporal Distribution Characteristics of Rainfall Using Hybrid Dimensionality Reduction-Clustering Model: A Case Study of Kunming City, China;Atmosphere;2024-04-26

5. Frequency analysis of annual maximum daily rainfall in Brazil with multiparameter probability density functions;2024-03-14

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3