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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Cited articles

Adachi, Y., Kikuchi, R., Obata, K., and Yoshioka, H.: Relative Azimuthal-Angle Matching (RAM): A screening method for GEO-LEO reflectance comparison in middle latitude forests, Remote Sens.-Basel, 11, 1095, https://doi.org/10.3390/rs11091095, 2019. 
Badgley, G., Anderegg, L. D. L., Berry, J. A., and Field, C. B.: Terrestrial gross primary production: Using NIRv to scale from site to globe, Glob. Change Biol., 25, 3731–3740, https://doi.org/10.1111/gcb.14729, 2019. 
Baldocchi, D., Falge, E., Gu, L., Olson, R., Hollinger, D., Running, S., Anthoni, P., Bernhofer, C., Davis, K., Evans, R., Fuentes, J., Goldstein, A., Katul, G., Law, B., Lee, X., Malhi, Y., Meyers, T., Munger, W., Oechel, W., Paw, U. K. T., Pilegaard, K., Schmid, H. P., Valentini, R., Verma, S., Vesala, T., Wilson, K., and Wofsy, S.: FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities, B. Am. Meteorol. Soc., 82, 2415–2434, https://doi.org/10.1175/1520-0477(2001)082<2415:FANTTS>2.3.CO;2, 2001. 
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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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