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Doppler radar rainfall prediction and gauge data.

Jesse W Lansford1, Tyson H Walsh2, T V Hromadka2

  • 1Department of Mathematics, United States Military Academy, West Point, NY, USA. jesse.lansford@westpoint.edu.

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|October 15, 2020
PubMed
Summary
This summary is machine-generated.

This study combines Doppler radar and rain gauge data to improve precipitation estimates. Analyzing 8830 data points enhances accuracy for hydrometeorology and weather forecasting applications.

Keywords:
EngineeringFloodplain managementHydrometeorologyWeather forecasting

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Area of Science:

  • Hydrometeorology
  • Atmospheric Science
  • Radar Meteorology

Background:

  • Accurate precipitation estimation is crucial for various applications, including weather forecasting and hydrological modeling.
  • Existing research often relies on data from individual radar or gauge sites, potentially limiting the scope and accuracy of precipitation estimates.
  • Doppler radar technology offers advanced capabilities for measuring precipitation, but its integration with ground-based rain gauge data requires careful consideration.

Purpose of the Study:

  • To combine data from multiple Doppler radar sites and rain gauge networks to create comprehensive datasets.
  • To analyze the relationship between Doppler radar precipitation estimates and rain gauge precipitation readings across diverse geographical locations and time periods.
  • To enhance the accuracy and reliability of precipitation estimation by leveraging a larger, combined dataset.

Main Methods:

  • Data aggregation from multiple Doppler radar sites and rain gauge networks.
  • Creation of ordered pairs correlating radar-derived precipitation estimates with ground-truth rain gauge measurements.
  • Statistical analysis of the combined dataset comprising 8830 data points.

Main Results:

  • The study produced populations of ordered pairs representing combined Doppler radar and rain gauge precipitation data.
  • Analysis of these paired data demonstrates the potential for improved precipitation estimation accuracy.
  • The findings are applicable to a wide range of hydrometeorological and engineering applications.

Conclusions:

  • Combining data from multiple Doppler radar and rain gauge sites significantly enhances the dataset for precipitation estimation.
  • The integrated dataset provides a more robust foundation for hydrometeorological research, engineering applications, and weather forecasting.
  • Continued efforts to incorporate extensive data are essential for advancing the accuracy of radar and precipitation estimates.