Dual-polarized quantitative precipitation estimation as a function of range

Simpson, Micheal J.; Fox, Neil I.

doi:https://doi.org/10.5194/hess-22-3375-2018

Articles | Volume 22, issue 6

https://doi.org/10.5194/hess-22-3375-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-22-3375-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 22, issue 6

Research article

|

18 Jun 2018

Research article |

| 18 Jun 2018

Dual-polarized quantitative precipitation estimation as a function of range

Micheal J. Simpson and Neil I. Fox

Data sets

Missouri Mesonet AgEBB (Agricultural Electronic Bulletin Board) http://agebb.missouri.edu/weather/stations/

Hierarchical Data Storage System NOAA https://www.ncdc.noaa.gov/has/has.dsselect

Short summary

Many researchers have expressed that one of the main difficulties in modeling watershed hydrology is that of obtaining continuous, widespread weather input data, especially precipitation. The overarching objective of this study was to provide a comprehensive study of three weather radars as a function of range. We found that radar-estimated precipitation was best at ranges between 100 and 150 km from the radar, with different radar parameters being superior at varying distances from the radar.