Arraylake is designed to make it easier to store multidimensional array data in cloud object storage. Arraylake is based on the Zarr data model, in which data are organized into groups, arrays, and metadata. Our organization wisc-alive currently holds the public repositories ALIVE_v1-2024, which contains GPP data for 2024 and is updated daily with new data and ALIVE_v1-1, which contains GPP data from 2022 and 2023.

The terrestrial carbon cycle varies dynamically over short periods that can be difficult to observe. Geostationary (“weather”) satellites like the Geostationary Environmental Operational Satellite - R Series (GOES-R) deliver near-hemispheric imagery at a ten-minute cadence, and new imagers onboard like the Advanced Baseline Imager (ABI) measure visible and near-infrared spectral bands often to estimate land surface properties and carbon dioxide flux. We compiled time-series of GOES-R land surface attributes including visible and near-infrared reflectances, land surface temperature, and downwelling shortwave radiation (DSR) at 318 ABI fixed grid pixels containing Ameriflux and NEON eddy covariance towers from 2020 through 2022. By connecting observation networks that infer rapid changes to the carbon cycle, we can gain a richer understanding of the processes that control it.