Global High-Resolution Estimates of SIF from Fused SCIAMACHY and GOME-2, V2

This dataset provides global solar-induced chlorophyll fluorescence (SIF) estimates at a 0.05-degree resolution (approximately 5 km at the equator) for each month from January 2003 through December 2017. SIF data (740 nm) was retrieved from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) and Global Ozone Monitoring Experiment 2 (GOME-2) instruments onboard the MetOp-A satellite. The data were downscaled to 0.05 degrees using the Random Forest algorithm and predictors from Moderate Resolution Imaging Spectroradiometer (MODIS) and Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis, and then harmonized with the cumulative distribution function (CDF) matching technique. The uncertainty of the harmonized SIF estimates was also quantified and provided. Validation of the harmonized product showed that it retained high spatial and temporal consistency with the original SCIAMACHY and GOME-2 SIF retrievals and had good correlations with independent airborne and ground-based SIF measurements. The dataset can inform on the synergy between satellite SIF and photosynthesis and research on drought, yield estimation, and land degradation evaluation. The data are provided in netCDF format.

本数据集提供自2003年1月至2017年12月每月的全球太阳诱导叶绿素荧光（SIF）估算，分辨率达到0.05度（在赤道附近约等于5公里）。SIF数据（740纳米）来源于搭载在MetOp-A卫星上的SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY（SCIAMACHY）和Global Ozone Monitoring Experiment 2（GOME-2）仪器。数据通过随机森林算法及中等分辨率成像光谱辐射计（MODIS）和现代大气再分析（MERRA-2）再分析中的预测因子进行了降尺度至0.05度，并利用累积分布函数（CDF）匹配技术进行校准。同时，对校准后的SIF估算的不确定性进行了量化并提供。对校准产品的验证表明，其保持了与原始SCIAMACHY和GOME-2 SIF获取结果的高度空间和时间一致性，并且与独立空基和地面SIF测量具有良好的相关性。本数据集可揭示卫星SIF与光合作用的协同效应，并对干旱研究、产量估算以及土地退化评估等领域的科研提供信息。数据以netCDF格式提供。