De Petrillo Elena, Monaco Luca, Tuninetti Marta, Staal Arie, Laio Francesco
Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Turin, Italy.
Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, Netherlands.
Sci Data. 2025 Apr 15;12(1):629. doi: 10.1038/s41597-025-04964-3.
Water vapour flows in the atmosphere are fundamental to the hydrological cycle, linking evaporation sources to precipitation sinks. Recent atmospheric tracking models have provided valuable insights, allowing one to trace the sources of precipitation and determine where evaporated water from specific regions will eventually precipitate. Despite improvements in model accuracy, there remain significant discrepancies between reconstructed and observed evaporation and precipitation data from reanalysis. To address these discrepancies and enhance the reliability of tracking models' estimates, we propose a procedure based on Iterative Proportional Fitting (IPF). Using this approach, we reconcile atmospheric moisture flows reconstructed by the Lagrangian model UTrack with ERA5 reanalysis data. This ensures that the traced atmospheric water matches the total evaporation and the precipitation annually. The reconciled bilateral connections provide a new dataset (RECON) centred on the period 2008-2017 that facilitates the exploration of atmospheric vapour flows between evaporation and precipitation basins at the global scale with a spatial resolution of 0.5°. Further, the proposed framework applies to any cell-scale dataset of atmospheric moisture tracking.
大气中的水汽流动是水文循环的基础，它将蒸发源与降水汇联系起来。最近的大气追踪模型提供了有价值的见解，使人们能够追踪降水的来源，并确定特定区域蒸发的水最终将在哪里降水。尽管模型精度有所提高，但再分析得到的重建蒸发和降水数据与观测数据之间仍存在显著差异。为了解决这些差异并提高追踪模型估计的可靠性，我们提出了一种基于迭代比例拟合（IPF）的方法。使用这种方法，我们将拉格朗日模型UTrack重建的大气水分流动与ERA5再分析数据进行了协调。这确保了追踪到的大气水与每年的总蒸发量和降水量相匹配。协调后的双边联系提供了一个以2008 - 2017年为中心的新数据集（RECON），该数据集有助于在全球尺度上以0.5°的空间分辨率探索蒸发和降水盆地之间的大气水汽流动。此外，所提出的框架适用于任何大气水分追踪的单元格尺度数据集。
