SSEBop

SSEBop (Surface Solar Energy Bibcode for the operational version) is a satellite-derived dataset that provides estimates of surface solar irradiance, primarily used for climate research, solar energy assessment, and environmental monitoring. Developed by the Center for Environmental Data Analysis (CEDA), SSEBop utilizes data from geostationary satellites combined with models to generate high-resolution, daily surface solar radiation estimates across various geographical regions.

The dataset is derived using the SSEB (Satellite Supply Energy Balance) algorithm, which interprets satellite observations in the context of the surface energy balance to produce accurate measurements of incoming solar radiation at the Earth's surface. It is designed to improve upon earlier satellite-based solar radiation datasets by providing higher temporal and spatial resolution data, with typical spatial resolutions ranging from 1 to 5 kilometers.

SSEBop has been extensively validated against ground-based measurements and is recognized for its reliability in regions where in-situ observations are sparse. It offers data on both direct and diffuse solar radiation, making it valuable for designing and optimizing solar energy systems, as well as for climate modeling and studies of solar resource variability.

The dataset is updated regularly and freely accessible through various online platforms, including the NASA Prediction of Worldwide Renewable Energy Resources (POWER) project and other scientific data repositories. Its integration with geographic information systems (GIS) and climate models makes it a versatile resource for researchers and policymakers interested in renewable energy development and climate impact assessments.

Overall, SSEBop is a critical tool in advancing understanding of solar resource distribution and aiding in the transition towards sustainable energy solutions worldwide.