从2001年到2020年,全球每小时的初级生产总值数据集
Yong Wang1, Zehuang He1,2, Wei Zhao1
1Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610299, China.
Scientific data
|December 4, 2025
概括
一个新的每小时的全球原始生产总值 (GPP) 数据集捕捉了生态系统的短期变化. 这些高分辨率数据有助于更好地了解碳循环动态和工厂生产率.
科学领域:
- 生态生态学 生态生态学
- 地球系统科学 地球系统科学
- 生物地质化学生物地质化学
背景情况:
- 准确估计全球初级生产总值 (GPP) 对于理解生态系统碳循环至关重要.
- 现有的GPP数据集往往缺乏捕捉短期生产力变化所需的精细时间分辨率.
研究的目的:
- 引入一个新的全球GPP数据集,每小时的时间分辨率和0.1°的空间分辨率.
- 改善对生态系统短期生产力动态的描述.
主要方法:
- 改进的辐射标量双叶光利用效率 (RTL-LUE) 模型的开发.
- 使用每小时的气候数据 (ERA5-土地),GLASS叶面积指数,MODIS土地覆盖面和NOAA二氧化碳度.
- 根据184个流量塔的数据进行验证.
主要成果:
- RTL-LUE GPP数据集以每小时的分辨率覆盖了2001-2020年.
- 全球总GPP略低于较粗的数据集,这是由于更好地捕捉了极端压力.
- 显著的每小时GPP变化 (高达0.10g C/m2/h) 被揭示出来.
结论:
- 新的每小时GPP数据集增强了对碳流的时间动态的洞察力.
- 这种高分辨率的数据集对于推进生态系统碳循环研究具有价值.
- RTL-LUE模型表现出强大的性能,并改善了对GPP可变性的理解.
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