Articles | Volume 15, issue 1
Atmos. Meas. Tech., 15, 41–59, 2022
https://doi.org/10.5194/amt-15-41-2022
Atmos. Meas. Tech., 15, 41–59, 2022
https://doi.org/10.5194/amt-15-41-2022

Research article 04 Jan 2022

Research article | 04 Jan 2022

Dealing with spatial heterogeneity in pointwise-to-gridded- data comparisons

Amir H. Souri et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Review', Anonymous Referee #3, 13 Oct 2021
  • RC2: 'Comment on amt-2021-253', Anonymous Referee #2, 13 Oct 2021
  • RC3: 'Comment on amt-2021-253', Anonymous Referee #1, 18 Oct 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Amir Souri on behalf of the Authors (24 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (29 Nov 2021) by Can Li
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Short summary
The central component of satellite and model validation is pointwise measurements. A point is an element of space, whereas satellite (model) pixels represent an averaged area. These two datasets are inherently different. We leveraged some geostatistical tools to transform discrete points to gridded data with quantified uncertainty, comparable to satellite footprint (and response functions). This in part alleviated some complications concerning point–pixel comparisons.