Articles | Volume 22, issue 6
https://doi.org/10.5194/hess-22-3375-2018
https://doi.org/10.5194/hess-22-3375-2018
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

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (27 Oct 2017) by Remko Uijlenhoet
AR by Micheal Simpson on behalf of the Authors (06 Dec 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (04 Jan 2018) by Remko Uijlenhoet
RR by Edouard Goudenhoofdt (05 Feb 2018)
RR by Anonymous Referee #2 (12 Feb 2018)
ED: Publish subject to revisions (further review by editor and referees) (21 Feb 2018) by Remko Uijlenhoet
AR by Anna Mirena Feist-Polner on behalf of the Authors (06 Apr 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 Apr 2018) by Remko Uijlenhoet
RR by Anonymous Referee #2 (01 Jun 2018)
ED: Publish subject to technical corrections (01 Jun 2018) by Remko Uijlenhoet
AR by Micheal Simpson on behalf of the Authors (02 Jun 2018)  Author's response    Manuscript
Download
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.