Das Subhankar, Jain Manoj Kumar, Gupta Vivek, McGehee Ryan P, Yin Shuiqing, de Mello Carlos Rogerio, Azari Mahmood, Borrelli Pasquale, Panagos Panos
Department of Hydrology, Indian Institute of Technology Roorkee, Roorkee, India.
School of Civil and Environmental Engineering, Indian Institute of Technology Mandi, Mandi, India.
Sci Data. 2024 Aug 27;11(1):926. doi: 10.1038/s41597-024-03756-5.
Numerous hydrological applications, such as soil erosion estimation, water resource management, and rain driven damage assessment, demand accurate and reliable rainfall erosivity data. However, the scarcity of gauge rainfall records and the inherent uncertainty in satellite and reanalysis-based rainfall datasets limit rainfall erosivity assessment globally. Here, we present a new global rainfall erosivity dataset (0.1° × 0.1° spatial resolution) integrating satellite (CMORPH and IMERG) and reanalysis (ERA5-Land) derived rainfall erosivity estimates with gauge rainfall erosivity observations collected from approximately 6,200 locations across the globe. We used a machine learning-based Gaussian Process Regression (GPR) model to assimilate multi-source rainfall erosivity estimates alongside geoclimatic covariates to prepare a unified high-resolution mean annual rainfall erosivity product. It has been shown that the proposed rainfall erosivity product performs well during cross-validation with gauge records and inter-comparison with the existing global rainfall erosivity datasets. Furthermore, this dataset offers a new global rainfall erosivity perspective, addressing the limitations of existing datasets and facilitating large-scale hydrological modelling and soil erosion assessments.
许多水文应用，如土壤侵蚀估算、水资源管理和降雨驱动的损害评估，都需要准确可靠的降雨侵蚀力数据。然而，雨量站降雨记录的稀缺以及基于卫星和再分析的降雨数据集固有的不确定性，限制了全球范围内的降雨侵蚀力评估。在此，我们展示了一个新的全球降雨侵蚀力数据集（空间分辨率为0.1°×0.1°），该数据集将卫星（CMORPH和IMERG）和再分析（ERA5-Land）得出的降雨侵蚀力估计值与从全球约6200个地点收集的雨量站降雨侵蚀力观测值相结合。我们使用基于机器学习的高斯过程回归（GPR）模型，将多源降雨侵蚀力估计值与地球气候协变量一同进行同化，以编制一个统一的高分辨率年均降雨侵蚀力产品。结果表明，所提出的降雨侵蚀力产品在与雨量站记录的交叉验证以及与现有全球降雨侵蚀力数据集的相互比较中表现良好。此外，该数据集提供了一个全新的全球降雨侵蚀力视角，克服了现有数据集的局限性，便于进行大规模水文建模和土壤侵蚀评估。
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