Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts. Soil and airborne mineral fraction datasets.

These datasets correspond to soil and airbone mass mineral fractions as described and generated for "Modeling dust mineralogical composition: sensitivity to soil mineralogy" by Gonçalves Ageitos, M., Obiso, V., Miller, R.L., Jorba, O., Klose, M., Dawson, M., Balkanski, Y., Perlwitz, J., Basart, S., Di Tomaso, E., Escribano, J., Macchia, F., Montané, G., Mahowald, M.M., Green, R.O., Thompson, D.R. and Pérez García-Pando, C., ACP, 2023. There are 4 netCDF files that include the soil mass mineralogical fractions (0-1) in the clay (0-2 \(\mu\)m in diameter) and silt (2-63 \(\mu\)m in diameter) size classes as derived from the works of Claquin et al., (1999), and updated by Nickovic et al. (2012): <strong>C1999-SMA</strong>, and Journet et al. (2014): <strong>J2014-SMA</strong>. The data is mapped in a regular global grid with a horizontal resolution of 0.083º. Additional information on the FAO soil units, and soil texture data from HWSDv1.2 is provided in the J2014-SMA files. File details: C1999-SMA_CLAY_minfrac_0.083deg.nc - Claquin et al. (1999), Nickovic et al. (2012) soil mineralogy data for the clay fraction. C1999-SMA_SILT_minfrac_0.083deg.nc - Claquin et al. (1999), Nickovic et al. (2012) soil mineralogy data for the clay fraction. J2014-C2-SMA_CLAY_minfrac_0.083deg.nc - Journet et al. (2014) case 2 with the changes reported in Gonçalves Ageitos et al. (2023) soil mineralogy data for the clay fraction. J2014-C2-SMA_SILT_minfrac_0.083deg.nc - Journet et al. (2014) case 2 with the changes reported in Gonçalves Ageitos et al. (2023) soil mineralogy data for the clay fraction. There are 2 additional files that report the multiannual (2006-2010 period) monthly mean of the <strong>aerosol mass mineral fractions</strong> as obtained from the <strong>MONARCH model</strong> simulations described in Gonçalves Ageitos et al. (2023). The mass fractions are provided in each of the 8 size bins used in the model (ranging from 0.2 to 20 \(\mu\)m in diameter), and normalized so as to sum 1 (i.e., the sum of all minerals in all bins equals 1). Note that in order to reduce the size of these files, the variables have been compressed to short format and include an offset and scale factor as attributes. File details: 20062010_monarch_minfrac_C1999.nc - climatology (2006-2010 multiannual monthly mean) of size distributed mass mineral fractions as derived from the MONARCH C1999 experiment. 20062010_monarch_minfrac_J2014.nc - climatology (2006-2010 multiannual monthly mean) of size distributed mass mineral fractions as derived from the MONARCH J2014 experiment. <em>Legend for the minerals:</em> quar: quartz, feld: feldspars, calc: calcite, gyps: gypsum, illi: illite, mont: montmorillonite/smectite, kaol: kaolinite, verm:vermiculite, chlo: chlorite, mica: mica, hema: hematite, goet: goethite, irox:iron oxides (hematite and goethite). References: Claquin, T., Schulz, M., and Balkanski, Y. J.: Modeling the mineralogy of atmospheric dust sources, Journal of Geophysical Research<br> Atmospheres, https://doi.org/10.1029/1999JD900416, 1999. FAO-UNESCO: Soil Map of the World- Volume I Legend, Food and Agriculture Organization - United Nations Educational Scientific and Cultural Organization, Paris, http://www.fao.org/3/as360e/as360e.pdf, 1974. FAO-UNESCO: Food and Agriculture Organization - United Nations Educational Scientific and Cultural Organization. Digital Soil Map of the World and Derived Soil Properties, Food and Agriculture Organization - United Nations Educational Scientific and Cultural Organization, Rome, 1995. FAO/IIASA/ISRIC/ISSCAS/JRC: Harmonized World Soil Database (version 1.2), Food and Agriculture Organization, FAO, Rome, Italy and IIASA, Laxenburg, Austria, 2012. Journet, E., Balkanski, Y., and Harrison, S. P.: A new data set of soil mineralogy for dust-cycle modeling, Atmospheric Chemistry and<br> Physics, 14, 3801–3816, https://doi.org/10.5194/acp-14-3801-2014, 2014. Nickovic, S., Vukovic, A., Vujadinovic, M., Djurdjevic, V., and Pejanovic, G.: Technical Note: High-resolution mineralogical database of dust-productive soils for atmospheric dust modeling, Atmospheric Chemistry and Physics, 12, 845–855, https://doi.org/10.5194/acp-12-845-2012, 2012.本数据集对应土壤与大气粉尘的矿物质量分数，其基于Gonçalves Ageitos等人2023年发表于《大气化学与物理》（Atmospheric Chemistry and Physics，简称ACP）的论文《Modeling dust mineralogical composition: sensitivity to soil mineralogy》所生成并描述，作者包括Gonçalves Ageitos, M.、Obiso, V.、Miller, R.L.、Jorba, O.、Klose, M.、Dawson, M.、Balkanski, Y.、Perlwitz, J.、Basart, S.、Di Tomaso, E.、Escribano, J.、Macchia, F.、Montané, G.、Mahowald, M.M.、Green, R.O.、Thompson, D.R. 与 Pérez García-Pando, C.。 本数据集包含4个netCDF（网络通用数据格式）文件，涵盖黏粒（粒径0~2 μm）与粉粒（粒径2~63 μm）级分的土壤矿物质量分数（取值范围0~1），这些数据源自Claquin等人（1999）的研究，并经Nickovic等人（2012）更新，对应数据集标识为<strong>C1999-SMA</strong>；以及Journet等人（2014）的研究，对应标识为<strong>J2014-SMA</strong>。数据采用水平分辨率为0.083°的规则全球网格进行投影。J2014-SMA文件中额外提供了FAO（联合国粮食及农业组织，Food and Agriculture Organization）土壤单元信息，以及来自HWSDv1.2（Harmonized World Soil Database，世界土壤数据库版本1.2）的土壤质地数据。 各文件详情如下： 1. C1999-SMA_CLAY_minfrac_0.083deg.nc：基于Claquin等人（1999）与Nickovic等人（2012）的研究得到的黏粒级分土壤矿物学数据。 2. C1999-SMA_SILT_minfrac_0.083deg.nc：基于Claquin等人（1999）与Nickovic等人（2012）的研究得到的黏粒级分土壤矿物学数据。 3. J2014-C2-SMA_CLAY_minfrac_0.083deg.nc：基于Journet等人（2014）案例2，结合Gonçalves Ageitos等人（2023）报告的修正得到的黏粒级分土壤矿物学数据。 4. J2014-C2-SMA_SILT_minfrac_0.083deg.nc：基于Journet等人（2014）案例2，结合Gonçalves Ageitos等人（2023）报告的修正得到的黏粒级分土壤矿物学数据。 此外，本数据集还包含2个额外文件，记录了2006-2010年多年逐月平均的<strong>气溶胶矿物质量分数</strong>，该数据源自Gonçalves Ageitos等人（2023）描述的<strong>MONARCH模型</strong>模拟结果。质量分数分布于模型使用的8个粒径段（粒径范围0.2~20 μm）中，且经归一化处理以确保各粒径段内矿物总质量和为1（即所有粒径段内所有矿物的质量总和为1）。为压缩文件体积，数据变量已被压缩为短整型格式，并通过属性值设置偏移量与缩放因子。 各额外文件详情如下： 1. 20062010_monarch_minfrac_C1999.nc：基于MONARCH模型C1999实验得到的粒径分布矿物质量分数气候态数据（2006-2010年多年逐月平均）。 2. 20062010_monarch_minfrac_J2014.nc：基于MONARCH模型J2014实验得到的粒径分布矿物质量分数气候态数据（2006-2010年多年逐月平均）。 <em>矿物缩写说明：</em> quar：石英（quartz），feld：长石（feldspars），calc：方解石（calcite），gyps：石膏（gypsum），illi：伊利石（illite），mont：蒙脱石/绿脱石（montmorillonite/smectite），kaol：高岭石（kaolinite），verm：蛭石（vermiculite），chlo：绿泥石（chlorite），mica：云母（mica），hema：赤铁矿（hematite），goet：针铁矿（goethite），irox：铁氧化物（赤铁矿与针铁矿）。 参考文献： 1. Claquin, T.、Schulz, M. 与 Balkanski, Y. J.：《Modeling the mineralogy of atmospheric dust sources》，《地球物理学研究杂志（大气板块）》，https://doi.org/10.1029/1999JD900416，1999。 2. FAO-UNESCO：《Soil Map of the World- Volume I Legend》，联合国粮食及农业组织-联合国教育、科学及文化组织，巴黎，http://www.fao.org/3/as360e/as360e.pdf，1974。 3. FAO-UNESCO：《Digital Soil Map of the World and Derived Soil Properties》，联合国粮食及农业组织-联合国教育、科学及文化组织，罗马，1995。 4. FAO/IIASA/ISRIC/ISSCAS/JRC：《Harmonized World Soil Database (version 1.2)》，联合国粮食及农业组织（FAO）、意大利罗马国际应用系统分析研究所（IIASA）、奥地利拉兴堡，2012。 5. Journet, E.、Balkanski, Y. 与 Harrison, S. P.：《A new data set of soil mineralogy for dust-cycle modeling》，《大气化学与物理》，14，3801–3816，https://doi.org/10.5194/acp-14-3801-2014，2014。 6. Nickovic, S.、Vukovic, A.、Vujadinovic, M.、Djurdjevic, V. 与 Pejanovic, G.：《Technical Note: High-resolution mineralogical database of dust-productive soils for atmospheric dust modeling》，《大气化学与物理》，12，845–855，https://doi.org/10.5194/acp-12-845-2012，2012。