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.

本数据集提供了全球范围内，以0.05度分辨率（约相当于赤道附近的5公里）的太阳诱导叶绿素荧光（SIF）估算数据，时间跨度从2003年1月至2017年12月。SIF数据（740纳米）通过搭载于MetOp-A卫星上的SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY（SCIAMACHY）和Global Ozone Monitoring Experiment 2（GOME-2）仪器获取。数据经过随机森林算法以及来自中等分辨率成像光谱仪（MODIS）和现代时代回顾性分析（MERRA-2）再分析预测因子的降尺度处理，并采用累积分布函数（CDF）匹配技术进行调和。同时，调和后的SIF估算的不确定性也得到了量化并提供了相关数据。对调和产品的验证表明，其与原始的SCIAMACHY和GOME-2 SIF提取数据在空间和时间上保持了高度一致性，并且与独立空基和地面SIF测量数据具有良好的相关性。该数据集能够揭示卫星SIF与光合作用的协同作用，并为干旱、产量估算和土地退化评估研究提供信息。数据以netCDF格式提供。