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23 results for “Dust sources”
Atmospheric Dust Source Contributions and Synoptic Scale Adjustments in the East Asian Region in April of 2021
<p>The WRF-Chem simulations were conducted to assess the source contributions to the concentrations and ratios across the East Asian region in April 2021. The WRF-Chem baseline was compiled, and sensitivity simulations were conducted regarding the source contributions to the concentrations of PM10 BASE, PM10 Anthro, PM10 Dust, and PM10 Biomass. </p> <p>In our dataset, you can find PM10 concentrations of WRF-Chem baseline simulations and other sensitivity-simulated PM10 concentrations of multi-sources of anthropogenic, wind-blown dust, and biomass-burning emissions. Furthermore, model meteorological variables of air temperature, wind, surface level pressure, and geopotential height can be found here.</p> <p>If you have any difficulty downloading these datasets, please feel free to contact the first author, kimhsung@gmail.com. All references and acknowledgments can be found in our paper.</p> <p> </p>
Dust source activation frequency dataset
<p>The data set contains information on the frequency of dust emission events, named dust source activation (DSA), on a regular longitude-latitude grid of 1°x1° resolution. The frequency is defined as number of observed DSA during the period March 2006 to February 2010. </p> <p>Dust source activation events are inferred from 15-minute MSG SEVIRI IR dust index images as described in Schepanski et al. (2007, 2009) by back-tracing dust plumes to their place of origin. </p> <p>As discussed in Schepanski et al. (2007, 2009, 2012), the DSA data provides information on the location of dust sources and their relevance.</p>
The dust source points from the west coast of South Africa from 2000 to 2021
<p>This data set describes the location and land use of the dust source points from 2000 and 2021 on the west coast of South Africa from succulent Karoo shrubland, bare areas, and dry pans. The data has been derived daily from MODIS images and the land cover was determined by the South African National Land Cover (SANLC) provided by the Department of Forestry, Fisheries and the Environment.</p>
Spatial source contribution and interannual variation in deposition of dust aerosols over the Chinese Loess Plateau (Haugvaldstad et al 2024)
<h2>Spatial source contribution and interannual variation in deposition of dust aerosols over the Chinese Loess Plateau</h2> <h4>Description:</h4> <p>The data.zip file contains processed FLEXPART/FLEXDUST and ERA5 data. ERA5 is used for meteorological analysis. FLEXDUST is the dust emission inventory used for calculating the source contribution. Combined source contribution is separated for each receptor site. The "clay" suffix in the file name refers the fine dust size-bin, the "silt" suffix refers to the super-coarse size-bin. For more information look at the published manuscript. The MERRA2.zip contain the data used in the FLEXPART MERRA2 intercomparison.</p> <p>The complete 3hourly FLEXPART source contribution and Emissions sensitivity are available from the Norwegian research data archive (DOI: <a href="https://doi.org/10.11582/2023.00135">10.11582/2023.00135</a>). The simulated FLEXDUST 3 hourly dust emission are also available from the Norwegian research data archive (DOI: <a href="https://doi.org/10.11582/2023.00134">10.11582/2023.00134</a>)</p> <h4>Data Format:</h4> <p>NetCDF4, CSV</p> <h4>Usage Notes:</h4> <p>The content of the zip file is used to generate the figures shown in Haugvaldstad et al 2023. To processes and recreate the figures in the manuscript there is a provided docker image that can be pulled with the following command: <em>docker pull ovewh/thesisdocker:build1.1.8</em>. More info <a href="https://hub.docker.com/r/ovewh/thesisdocker">here. </a></p> <p>The following GitHub repositories are used to analyse and plot the data, if the docker image is used codes should be downloaded automatically. </p> <ul> <li>Snakemake workflow: <a href="https://github.com/MasterOnDust/AGU_JGR_CLP_SOURCE_WORKFLOW/tree/AGU-Haugvaldstad-et-al-2023">https://github.com/MasterOnDust/AGU_JGR_CLP_SOURCE_WORKFLOW/tree/AGU-Haugvaldstad-et-al-2023</a></li> <li>Python library with plotting functionality and analysis utilities: <a href="https://github.com/MasterOnDust/Thesis_toolbox/tree/AGU-Haugvaldstad-et-al-2023">https://github.com/MasterOnDust/Thesis_toolbox/tree/AGU-Haugvaldstad-et-al-2023</a></li> <li>Python library for trajectory analysis: <a href="https://github.com/MasterOnDust/flexpart_cluster/tree/AGU-Haugvaldstad-et-al-2023">https://github.com/MasterOnDust/flexpart_cluster/tree/AGU-Haugvaldstad-et-al-2023</a></li> <li>Python library for reading and post processing for FLEXPART and FLEXDUST raw output: <a href="https://github.com/MasterOnDust/DUST/tree/AGU-Haugvaldstad-et-al-2023">https://github.com/MasterOnDust/DUST/tree/AGU-Haugvaldstad-et-al-2023</a></li> </ul>
Data presented in Dupont et al. 2024 "Impact of dust source patchiness on the existence of a constant dust flux layer during aeolian erosion events"
<p>Meteorological and dust data used in Dupont et al. 2024. Data are based on measurements recorded above two erosive surfaces from two very different desert regions, one at a high-latitude location in Iceland and the other at a low-latitude location in Jordan. The Iceland campaign was co-organized by two projects: FRAGMENT (FRontiers in dust minerAloGical coMposition and its Effects upoN climaTe) and HiLDA (Iceland as a model for high-latitude dust sources – a combined experimental and <br>modeling approach for characterization of dust emission and transport processes); and the Jordan campaign (J-WADI: Jordan Wind erosion And Dust Investigation) was co-organized by the FRAGMENT and Helmholtz Young Investigator Group ``A big unknown in the climate impact of atmospheric aerosol: Mineral soil dust'' projects.</p>
FIGURE 11 in Plant diversity of Khuzestan and dust sources in the southwest of Iran, with a checklist of vascular plants
FIGURE 11. Selected several plants of Khuz in their habitats. a: Mandragora officinalis, a medicin species (recorded by the author for Iran); b: Heliotropium curassavicum (recorded by the author for Iran); c: Satureja khuzistanica, an endangered, endemic and medicinal species (recorded as new species by the author); d: Pluchea dioscoridis, an aromatic species (recorded by the author for Iran); e: Dionysia khuzistanica, an endangered and endemic species (recorded as new species by the author); f: Astragalus gypsocola, an endangered and endemic species; g: Echium khuzistanicum, an endangered and endemic species in its habitat in the southern part of Khuz; h: Azilia eryngioides, an endemic monotypic genus (Photos by M. Dinarvand).
FIGURE 10 in Plant diversity of Khuzestan and dust sources in the southwest of Iran, with a checklist of vascular plants
FIGURE 10. Characteristic landscapes in the Zagros (Khuz territory). a: Open forests of Quercus brantii; b: Juniperus woodlands as small patches creeping on rocks; c: Open to semi-dense shrublands of Lonicera nummulariifolia in the Zagros; d: Open to semi-dense shrublands of Amygdalus haussknechtii; e: Colchicum wendelboi, as a subalpine vegetation; f: Subalpine vegetation dominated by thorncushion plants and aromatic species (Photos by M. Dinarvand).
FIGURE 9 in Plant diversity of Khuzestan and dust sources in the southwest of Iran, with a checklist of vascular plants
FIGURE 9. Characteristic landscapes in the plain area of Khuz. a: Salty soil places with halophytes; b: Salt marsh vegetation dominated by Halocnemum strobilaceum; c: Horalazim wetland; d: Dune area with Calligonum intertextum shrubs on top of hills; e: Dust source (in Mahshahr); f: Natural biologic fixation of soil with local plants (Capparis spinosa); g: Water pit in dust source area; h: Grazing pressure (Suaeda vermiculata and Halocnemum strobilaceum) in dust sources (Photos by M. Dinarvand).
FIGURE 8 in Plant diversity of Khuzestan and dust sources in the southwest of Iran, with a checklist of vascular plants
FIGURE 8. The life-form spectrum of the flora of dust areas of Khuz. Ch: chamaephytes; He: hemicryptophytes; Ph: phanerophytes; C: cryptophytes; Th: therophytes.
FIGURE 6 in Plant diversity of Khuzestan and dust sources in the southwest of Iran, with a checklist of vascular plants
FIGURE 6. The proportion of phytogeographical groups in the flora of Khuz. IT: Irano-Turanian, SS: Sahara-Sindian, Cosm: Cosmopolitan, Endemic.
FIGURE 3. Ombrothermic graphs prepared using 22 in Plant diversity of Khuzestan and dust sources in the southwest of Iran, with a checklist of vascular plants
FIGURE 3. Ombrothermic graphs prepared using 22-year (1996–2018) data from three synoptic stations close to the dust resources area (south, east, and center of Khuz).
FIGURE 5 in Plant diversity of Khuzestan and dust sources in the southwest of Iran, with a checklist of vascular plants
FIGURE 5. The life-form spectrum of the flora of Khuz. Ch: chamaephytes, He: hemicryptophytes, Ph: phanerophytes, C: cryptophytes, and Th: therophytes.
FIGURE 2 in Plant diversity of Khuzestan and dust sources in the southwest of Iran, with a checklist of vascular plants
FIGURE 2. Map of dust resources in Sub-Basin of Khuz rivers (prepared by Study section of dust resources-RIFR).
FIGURE 7 in Plant diversity of Khuzestan and dust sources in the southwest of Iran, with a checklist of vascular plants
FIGURE 7. sd: dune species; s: species of salty soil area; sd, s: species adapted to both climate and soil of Khuz.
FIGURE 1 in Plant diversity of Khuzestan and dust sources in the southwest of Iran, with a checklist of vascular plants
FIGURE 1. (Right): Map of Iran in the Middle East, the inset shows the position of Khuzestan province; (Left): Topographic map of Khuzestan province (prepared by F. Soozangar).
FIGURE 4. Ombrothermic graphs prepared using 22 in Plant diversity of Khuzestan and dust sources in the southwest of Iran, with a checklist of vascular plants
FIGURE 4. Ombrothermic graphs prepared using 22-year (1996–2018) data from three synoptic stations close to the mountain area in the north of Khuz.
Supporting data for the Eastern equatorial Pacific dust fertilization and source weathering influences on the Eocene to Miocene CO2 decline
<p>This is supporting data for Equatorial Pacific dust fertilization and source weathering influences on Eocene to Miocene global CO<sub>2 </sub>decline.</p>
dataset for "Anthropogenic dust as a significant source of ice-nucleating particles in the urban environment"
<p>These are data that correspond to the publication of "anthropogenic dust ice nucleating particles"</p>
Source contributions to two super dust storms over Northern China in March 2021 and the impact of soil moisture
Open the record for dataset details and reuse information.
The Yarlung Zangbo River valley in the Tibetan Plateau as the dust source to Greenland and the North Pacific
Open the record for dataset details and reuse information.
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