Dual-Polarization radar rainfall prediction and rain gauge data.

Tyson H Walsh, Jesse W Lansford, T V Hromadka, Prasada Rao
Author Information
  1. Tyson H Walsh: Department of Mathematics, United States Military Academy, West Point, NY, USA. tyson.walsh@westpoint.edu.
  2. Jesse W Lansford: Department of Mathematics, United States Military Academy, West Point, NY, USA.
  3. T V Hromadka: Department of Mathematics, United States Military Academy, West Point, NY, USA.
  4. Prasada Rao: Department of Civil and Environmental Engineering, California State University, Fullerton, CA, USA.

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.

Keywords

References

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MeSH Term

Forecasting
Radar
Rain

Word Cloud

Created with Highcharts 10.0.0dataradarmultiplerainrainfallDual-PolarizationsetsitesgaugeforecastingOBJECTIVE:ReportedgaugescorrespondingestimateDual-PolpresentedorderedpairscollectedpeerreviewedpublicationsspanningacrosslastdecadeDATADESCRIPTION:Takensourcesrepresentsseveralcombined12734pointsrelevantvariousapplicationshydrometeorologyengineeringwellweatherimportanceaccuracyprecipitationestimatescontinuesincreasenecessitatingincorporationmuchpossiblepredictionEngineeringFloodplainmanagementHydrometeorologyWeather

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