Articles | Volume 17, issue 1
https://doi.org/10.5194/amt-17-247-2024
https://doi.org/10.5194/amt-17-247-2024
Research article
 | 
15 Jan 2024
Research article |  | 15 Jan 2024

Assessing sampling and retrieval errors of GPROF precipitation estimates over the Netherlands

Linda Bogerd, Hidde Leijnse, Aart Overeem, and Remko Uijlenhoet

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-1258', Anonymous Referee #1, 20 Sep 2023
    • AC1: 'Reply on RC1', Linda Bogerd, 06 Nov 2023
  • RC2: 'Comment on egusphere-2023-1258', T.H.M. Rientjes, 23 Oct 2023
    • AC2: 'Reply on RC2', Linda Bogerd, 06 Nov 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Linda Bogerd on behalf of the Authors (10 Nov 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (20 Nov 2023) by Marloes Penning de Vries
AR by Linda Bogerd on behalf of the Authors (20 Nov 2023)  Author's response   Manuscript 

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Linda Bogerd on behalf of the Authors (05 Jan 2024)   Author's adjustment   Manuscript
EA: Adjustments approved (15 Jan 2024) by Marloes Penning de Vries
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Short summary
Algorithms merge satellite radiometer data from various frequency channels, each tied to a different footprint size. We studied the uncertainty associated with sampling (over the Netherlands using 4 years of data) as precipitation is highly variable in space and time by simulating ground-based data as satellite footprints. Though sampling affects precipitation estimates, it doesn’t explain all discrepancies. Overall, uncertainties in the algorithm seem more influential than how data is sampled.