Abstract

Photosynthetically active radiation data can be widely used in ecology, agriculture, resources and environment, climatology and other fields. It holds significant value in ecosystem productivity assessment, agricultural production layout optimization and food security, atmospheric carbon dioxide (CO2) dynamics and its change patterns, as well as the estimation of regional CO2 sources and sinks. However, there is a scarcity of long-term, continuous observation data of photosynthetically active radiation, particularly in China. Consequently, accurate large-scale photosynthetically active radiation data will offer valuable scientific data support for related research efforts. In this paper, we used the data from the China Meteorological Administration and the China Ecosystem Research Network, and constructed the total radiation data of national scale long time series on the basis of the “mixed model”. By integrating the constructed photosynthetically active radiation scheme for diverse climatic regions, which was estimated using total radiation data, we successfully obtained reconstructed photosynthetically active radiation data that exhibited high accuracy and passed stringent testing. The time range of this dataset is 2015–2020.

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