Data for "Global mineral constraints on dust shortwave radiative effects"
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1. Overview This archive includes processed model outputs, derived diagnostic variables, and observational datasets used in the analysis of mineral-resolved dust shortwave radiative effects and associated uncertainties. These data support Figures 2-6 in the main text of Li et al. (2026, Nature Geoscience). Raw observational datasets (e.g., EMIT products) are publicly available from their respective mission and data distribution centers and are not redistributed here. 2. Contents 2.1 Processed model outputs Multi-model simulations (e.g., CESM2, ModelE, MONARCH, AM4) Variables include: Airborne iron oxide (irox) mass fractions Dust shortwave (SW) radiative effect (DRE) Dust SW DRE efficiency (DREE) Associated uncertainty estimates 2.2 Pre-EMIT soil iron oxide Surface mineralogical datasets derived from pre-EMIT observations Soil mineral atlases used for dust source characterization Associated uncertainty estimates 2.3 EMIT-derived constraints Surface mineralogical datasets derived from EMIT observations Soil mineral atlases used for dust source characterization Associated uncertainty estimates 2.4 Figure-ready datasets Data files organized by figure number: LLi_NatGeosci2026_Fig02* LLi_NatGeosci2026_Fig03* LLi_NatGeosci2026_Fig04* LLi_NatGeosci2026_Fig05* LLi_NatGeosci2026_Fig06* Files contain processed arrays required to reproduce the corresponding figure(s)/panel(s). 3. Reproducibility Figures 2-6 in the article (Li et al., 2026, Nature Geoscience) can be reproduced using the processed datasets provided here. Figure 1 was generated by the first author, Longlei Li, using Adobe Illustrator. The soil mineralogy map was provided by co-author Roger N. Clark. 4. Notes All data provided here are processed (analysis-ready) and intended for reproduction of figures and key results. Minor differences may arise if raw model outputs are reprocessed independently due to numerical precision or interpolation choices. The dust DREE archived here has not been converted to full-day averages; this step is required to reproduce the dust DREE figure shown in Li et al. (2026, Nature Geoscience). EMIT and observational datasets should be obtained directly from official repositories for full fidelity use. 5. Contact For questions regarding the dataset, please contact:Longlei Li (ll859@cornell.edu or l.longlei@gmail.com)
1. 概述 本存档包含用于分析矿物组分解析的沙尘短波辐射效应及其相关不确定性的经处理模式输出结果、衍生诊断变量与观测数据集。这些数据可用于复现Li等人(2026年,《自然·地球科学(Nature Geoscience)》)正文中的图2至图6。 原始观测数据集(如EMIT产品)可从其所属任务与数据分发中心公开获取,本文档未对其进行二次分发。 2. 数据内容 2.1 经处理的模式输出结果 多模式模拟结果(如CESM2、ModelE、MONARCH、AM4)包含以下变量: - 大气中铁氧化物(iron oxide, irox)质量分数 - 沙尘短波(shortwave, SW)辐射效应(Dust Shortwave Radiative Effect, DRE) - 沙尘短波辐射效应效率(Dust SW DRE Efficiency, DREE) - 相关不确定性估算值 2.2 预EMIT土壤铁氧化物数据集 基于预EMIT观测得到的地表矿物学数据集 用于沙尘源区特征刻画的土壤矿物图集 相关不确定性估算值 2.3 基于EMIT的约束数据集 基于EMIT观测得到的地表矿物学数据集 用于沙尘源区特征刻画的土壤矿物图集 相关不确定性估算值 2.4 可直接用于绘图的数据集 按图号组织的数据文件: LLi_NatGeosci2026_Fig02* LLi_NatGeosci2026_Fig03* LLi_NatGeosci2026_Fig04* LLi_NatGeosci2026_Fig05* LLi_NatGeosci2026_Fig06* 文件包含复现对应图表/子图所需的经处理数组。 3. 可复现性 本文(Li等人,2026年,《自然·地球科学》)中的图2至图6可通过本文提供的经处理数据集复现。图1由第一作者Longlei Li使用Adobe Illustrator生成,土壤矿物学图件由共同作者Roger N. Clark提供。 4. 补充说明 本文提供的所有数据均为经处理的(可直接用于分析),旨在用于复现论文图表与关键结果。 若独立重新处理原始模式输出结果,可能会因数值精度或插值方案的差异出现细微偏差。 本文存档的沙尘DREE未转换为全日平均值,若要复现Li等人(2026年,《自然·地球科学》)中展示的沙尘DREE图表,需完成该步骤。 若要完整保真地使用EMIT与观测数据集,应直接从官方仓储库获取原始数据。 5. 联系方式 若对本数据集有疑问,请联系:Longlei Li(ll859@cornell.edu 或 l.longlei@gmail.com)



