沙尘模式的全球高分辨率土壤侵蚀因子数据集（2022年）

风蚀因子是沙尘模式中决定起沙区域和沙尘排放量的关键参数。然而，当前模型所采用的风蚀性数据通常被假定为静态，未能充分体现沙尘源区高度异质且动态变化的特性，从而导致沙尘模拟结果存在显著误差与不确定性。为解决该问题，我们提出一种新方法，通过融合土壤湿度、植被覆盖、土壤质地及土地利用等多源数据，构建了一种基于物理过...

The wind erosion factor is a key parameter determining sand-dust emission areas and dust emission amounts in dust models. However, the wind erosion data adopted by current models is typically assumed to be static, failing to fully reflect the highly heterogeneous and dynamically changing characteristics of dust source regions, thereby leading to significant errors and uncertainties in dust simulation results. To resolve this issue, we propose a novel method that constructs a physical-process-based framework by integrating multi-source datasets including soil moisture, vegetation coverage, soil texture and land use.

搜集汇总

背景与挑战

背景概述

该数据集是一个全球高分辨率土壤侵蚀因子数据集，基于沙尘模式构建，分辨率为1公里，覆盖全球范围。通过整合多源数据，显著提高了沙尘过程模拟的性能，适用于WRF Chem等模式。