Articles | Volume 18, issue 1
https://doi.org/10.5194/essd-18-397-2026
https://doi.org/10.5194/essd-18-397-2026
Data description paper
 | 
15 Jan 2026
Data description paper |  | 15 Jan 2026

Subsets of geostationary satellite data over international observing network sites for studying the diurnal dynamics of energy, carbon, and water cycles

Hirofumi Hashimoto, Weile Wang, Taejin Park, Sepideh Khajehei, Kazuhito Ichii, Andrew R. Michaelis, Alberto Guzman, Ramakrishna R. Nemani, Margaret S. Torn, Koong Yi, and Ian G. Brosnan

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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 essd-2025-33', Anonymous Referee #1, 02 Apr 2025
    • AC1: 'Reply on RC1', Hirofumi Hashimoto, 16 Jun 2025
  • RC2: 'Comment on essd-2025-33', Anonymous Referee #2, 20 Apr 2025
    • AC3: 'Reply on RC2', Hirofumi Hashimoto, 16 Jun 2025
  • RC3: 'Comment on essd-2025-33', Anonymous Referee #3, 16 May 2025
    • AC2: 'Reply on RC3', Hirofumi Hashimoto, 16 Jun 2025

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Hirofumi Hashimoto on behalf of the Authors (20 Jun 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (05 Jul 2025) by Kaiguang Zhao
AR by Hirofumi Hashimoto on behalf of the Authors (09 Jul 2025)  Manuscript 
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Short summary
We create the GeoNEX Coincident Ground Observations (GeCGO) dataset by extracting point data at observational network sites across the Americas from the gridded GeoNEX products. The GeoNEX dataset is a high-temporal-frequency dataset of the latest geostationary satellite observations. We also release the software GeoNEXTools, which helps with handling the GeCGO data. GeCGO and GeoNEXTools could help scientists use geostationary satellite data at ground observational sites of interest.
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