Doppler radar rainfall prediction and gauge data
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(2020) 13:482 Lansford et al. BMC Res Notes https://doi.org/10.1186/s13104-020-05311-y
Open Access
DATA NOTE
Doppler radar rainfall prediction and gauge data Jesse W. Lansford1*, Tyson H. Walsh1, T. V. Hromadka II1 and P. Rao2
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. Keywords: Hydrometeorology, Engineering, Floodplain management, Weather forecasting Objective Prediction of rainfall using Doppler technology relies on synthesizing the signal information that the radars receive back from the atmosphere. Processing this signal information yields a rainfall estimate relying on relationships between statistical regression equations and several other parameters. Herein we present the ordered data for both Doppler radar precipitation estimates with associated gauge precipitation estimates pulled from ten referenced publications. Researchers may use these rainfall estimates for study purposes by comparing the accuracy of the Doppler radar estimated precipitation with the actual comparative gauge data. An indication of the estimation error can be determined by comparing the frequency distribution of the source data against the regression equation predictors obtained from the Doppler radar estimates. This data is relevant to other researchers involved in investigating the association of Doppler radar data and gauge precipitation estimate relationships [1]. *Correspondence: [email protected] 1 Department of Mathematics, United States Military Academy, West Point, NY, USA Full list of author information is available at the end of the article
Data description Datasets generated and/or analyzed during the current study are available in the figshare repository: https://doi. org/10.6084/m9.figshare.11811675.v1 [2]. Published literature contains data in the form of scatter plots and tables [3–12]. The data compares Doppler radar derived rainfall estimates with observed local gauge values, spread across storms and geographical domains with the majority categorized via total storm accumulation. Pulling from each reference, digitizing software reads graphs and tabulates data for later concatenating. Specifically, the plot digitizer (http:// plotdigitizer.sourceforge.net/), is a Java tool that digitizes data points from scanned plots. Note that the data used for analysis is not raw data; it is the end
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