Dual-Polarization radar rainfall prediction and rain gauge data

Author:

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

Abstract

Abstract Objective Reported rainfall data from multiple rain gauges and its corresponding estimate from Dual-Polarization (Dual-Pol) radar is presented here. The ordered set of data pairs were collected from multiple peer reviewed publications spanning across the last decade. Data description Taken from multiple sources, the data set represents several radar sites and rain gauge sites combined for 12,734 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 precipitation estimates continues to increase, necessitating the incorporation of as much data as possible.

Publisher

Springer Science and Business Media LLC

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

Cited by 2 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. A long short term memory based weather forecast prediction using novel linear regression with neural network model over support vector machine;INTERNATIONAL CONFERENCE ON SCIENCE, ENGINEERING, AND TECHNOLOGY 2022: Conference Proceedings;2023

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

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