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

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

doi:10.5194/essd-18-397-2026

Articles | Volume 18, issue 1

https://doi.org/10.5194/essd-18-397-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-18-397-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 1

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

Data sets

GeoNEX Coincident Ground Observations (GeCGO) Hirofumi Hashimoto, Weile Wang, Taejin Park, Alberto Guzman, Ian G. Brosnan https://doi.org/10.25966/y5pe-xp41

Model code and software

GeoNEXTools Hirofumi Hashimoto https://doi.org/10.5281/zenodo.17731754

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.