2015～2020年中国光合有效辐射重构数据集

光合有效辐射数据可广泛应用于生态学、农学、资源与环境学、气候学等领域的研究，对生态系统的生产力评估、优化农业生产布局及粮食安全问题、大气二氧化碳(CO2)演变及其变化规律、区域CO2源汇的估算等方面都具有重要应用价值。但由于光合有效辐射长期连续的观测数据较少，特别是我国国家尺度的长期观测数据更较稀缺，所以获得准确且长时间、大范围的光合有效辐射数据将为相关研究提供科学数据支持。作者通过利用中国气象局及中国生态系统研究网络已有数据，基于“混合模型”重构得到国家尺度长时间序列的总辐射数据，然后结合已构建的通过总辐射估算的不同气候区光合有效辐射方案，最终获得了精度较好，且通过检验的重构光合有效辐射数据。本数据集时间范围为2015-2020年。

Photosynthetically Active Radiation (PAR) data is widely applicable to research in fields such as ecology, agronomy, resources and environmental science, climatology, etc. It holds significant application value in ecosystem productivity assessment, optimization of agricultural production layout and food security issues, evolution and variation rules of atmospheric carbon dioxide (CO₂), estimation of regional CO₂ sources and sinks, and other aspects. However, long-term continuous observation data of PAR is relatively scarce, especially national-scale long-term observation data in China. Therefore, obtaining accurate, long-time-span and large-scale PAR data can provide scientific data support for relevant research. The authors utilized existing data from the China Meteorological Administration (CMA) and the Chinese Ecosystem Research Network (CERN), and reconstructed national-scale long-time-series global radiation data based on the "hybrid model". Then, combined with the previously developed PAR estimation schemes for different climate regions using global radiation, they finally obtained reconstructed PAR data with good accuracy that passed validation. The time range of this dataset is from 2015 to 2020.

搜集汇总

背景与挑战

背景概述

该数据集提供了2015-2020年中国陆地范围内的光合有效辐射重构数据，适用于生态学、农学、气候学等领域的研究。数据基于中国气象局及中国生态系统研究网络的观测数据，通过混合模型重构得到，具有较好的精度和科学价值。