Doppler radar rainfall prediction and gauge data

Author:

Lansford Jesse W.,Walsh Tyson H.,Hromadka T. V.,Rao P.

Abstract

Abstract Objective The data herein represents multiple gauge sets and multiple radar sites of like-type Doppler data sets combined to produce populations of ordered pairs. Publications spanning decades yet specific to Doppler radar sites contain graphs of data pairs of Doppler radar precipitation estimates versus rain gauge precipitation readings. Data description Taken from multiple sources, the data set represents several radar sites and rain gauge sites combined for 8830 data points. The data is relevant in various applications of hydrometeorology and engineering as well as weather forecasting. Further, the importance of accuracy in radar and precipitation estimates continues to increase, necessitating the incorporation of as much data as possible.

Funder

U.S. Military Academy

Publisher

Springer Science and Business Media LLC

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

Reference12 articles.

1. Hromadka TV II, Rao P, Walsh TH. Assessment of uncertainty in Doppler Radar estimated precipitation. Am Inst Hydrol. 2018;34(2):4–7.

2. Jesse, L., Walsh, T., Hromadka, T. & Rao, P. Doppler weather data. figshare 2020, https://doi.org/10.6084/m9.figshare.11811675.v1.

3. Baeck ML, Smith JA. Rainfall estimation by the WSR-88D for heavy rainfall events. Weather Forecast. 1998;13(2):416–36.

4. Gourley JJ, Maddox RA, Howard KW, Burgess DW. An exploratory multisensor technique for quantitative estimation of stratiform rainfall. J Hydrometeorol. 2002;3(2):166–80.

5. Fulton, R. (2000). Hydrometeorology Group’s Projects and Plans for Improving WSR-88D Rainfall Algorithms and Products, Retrieved from http://www.nws.noaa.gov/oh/hrl/papers/2000mou_pdf/chapter1.pdf.

Cited by 1 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. Development of ANN Based Models for Binary Classification of Rainfall;2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT);2022-10-07

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