Preprints
https://doi.org/10.5194/essd-2025-33
https://doi.org/10.5194/essd-2025-33
17 Mar 2025
 | 17 Mar 2025
Status: this preprint is currently under review for the journal ESSD.

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 Michaelis, Alberto Guzman, Ramakrishna Nemani, Margaret Torn, Koong Yi, and Ian Brosnan

Abstract. The latest generation of geostationary satellites provide Earth observations similar to widely used polar orbiting sensors but at intervals as frequently as every 5–10 minutes, making them ideal for studying diurnal dynamics of land-atmosphere interactions. The NASA Earth Exchange (NEX) group created the GeoNEX datasets by collating data from several geostationary platforms, including GOES-16/17/18, Himawari-8/9, and GK-2A, and placing them on a common grid to facilitate use by the Earth science community. Here, we document the GeoNEX Coincident Ground Observations dataset (GeCGO) for terrestrial ecosystems studies, and provide examples for its use. Currently, GeCGO provides GOES-16 Advanced Baseline Imager (ABI) data over a 10 x 10 km area surrounding 1586 network sites across Americas. GeCGO make it easy to compare the time series of geostationary data with the diurnal ground observations including carbon/water fluxes and aerosol optical depth, and is extensible to other regions. We also developed GeoNEXTools to facilitate analyses that require both GeoNEX data and other NASA satellite data. The objectives of this paper are to introduce GeCGO and GeoNEXTools, and demonstrate their applications. First, we describe the details of GeCGO and GeoNEXTools. Second, we explain how GeCGO can be integrated with other satellite data. Finally, we showcase comparisons between GeCGO and observations from three ground-based networks.

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

Status: open (until 26 Apr 2025)

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

Data sets

GeoNEX Coincident Ground Observations (GeCGO) Hirofumi Hashimoto https://doi.org/10.25966/y5pe-xp41

Model code and software

GeoNEXTools Hirofumi Hashimoto https://github.com/nasa/GeoNEXTools

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

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Short summary
We create the GeoNEX Coincident Ground Observations dataset (GeCGO) by extracting point data at observational network sites across Americas from the gridded GeoNEX products. The GeoNEX dataset is the high temporal frequent dataset of the latest geostationary satellites observations. We also release the software, GeoNEXTools, that helps handling the GeCGO data. GeCGO data and GeoNEXTools could help scientists use geostationary satellite data at their interested ground observational sites.
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