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Dataset results
7 results for “desert dust”
Dataset associated with Banks et al.: "Dust aerosol from the Aralkum Desert influences the radiation budget and atmospheric dynamics of Central Asia"
<p>This dataset contains the COSMO-MUSCAT simulation output for the 'Dustbelt' (DUBLT) scenarios of Central Asian dust aerosol and associated radiative effects described by the paper "Radiative cooling and atmospheric perturbation effects of dust aerosol from the Aralkum Desert in Central Asia", written by Banks et al. and submitted to ACP in 2023. The paper was renamed "Dust aerosol from the Aralkum Desert influences the radiation budget and atmospheric dynamics of Central Asia" in 2024.</p>
Vertical profiling of the electrical properties of charged desert dust during the pre-ASKOS campaign: Dataset
<p>The zipped files contain the datasets used to produce Figure 1 of the following conference proceedings paper:</p> <p>Vasiliki Daskalopoulou, George Hloupis, Sotirios A. Mallios, Ilias Makrakis, Evangelos Skoubris, Maria Kezoudi, Zbigniew Ulanowski, & Vassilis Amiridis. (2021, July 6). <em>Vertical profiling of the electrical properties of charged desert dust during the pre-ASKOS campaign</em>. 15th International Conference on Meteorology, Climatology and Atmospheric Physics (COMECAP 2021), Ioannina, Greece. https://doi.org/10.5281/zenodo.5076042</p> <p>The repository contains overall:</p> <ol> <li>the ground-based JCI 131 Fieldmill Electrometer data that were acquired during the campaign (<a href="https://zenodo.org/api/files/b9a97eac-3bc2-4468-a43d-efa270ce8d95/Fieldmill_Ion_counter_Cyprus_campaign.rar">Fieldmill_Ion_counter_Cyprus_campaign.rar</a>)</li> <li>Data from an Alphalab Air Ion counter co-located with the fieldmill (<a href="https://zenodo.org/api/files/b9a97eac-3bc2-4468-a43d-efa270ce8d95/Fieldmill_Ion_counter_Cyprus_campaign.rar">Fieldmill_Ion_counter_Cyprus_campaign.rar</a>)</li> <li>Data from the five MiniMill electrometers that were launched (<a href="https://zenodo.org/api/files/b9a97eac-3bc2-4468-a43d-efa270ce8d95/MiniMills_Cyprus_campaign.rar">MiniMills_Cyprus_campaign.rar</a>)</li> <li>Data from the two of the charge sensors that were launched (<a href="https://zenodo.org/api/files/b9a97eac-3bc2-4468-a43d-efa270ce8d95/Charge_sensors_Cyprus_campaign.rar">Charge_sensors_Cyprus_campaign.rar</a>)</li> <li>Data from the eleven ion counters that were launched, tethered together with the MiniMills or the charge sensors (<a href="https://zenodo.org/api/files/b9a97eac-3bc2-4468-a43d-efa270ce8d95/Ion_counters_Cyprus_campaign.rar">Ion_counters_Cyprus_campaign.rar</a>)</li> <li>A campaign calendar with the launches schedule (<a href="https://zenodo.org/api/files/b9a97eac-3bc2-4468-a43d-efa270ce8d95/Cyprus_campaign_November2019_calendar.pdf">Cyprus_campaign_November2019_calendar.pdf</a>).</li> </ol>
Data from: Physical mechanisms of deep convective boundary layer leading to dust emission in the Taklimakan desert
<p>Deserts play an important role in the climate system, which is closely associated with the emission and transport of dust aerosols. Based on the intensive observation experiment in the Taklimakan Desert, the potential physical processes between the deep convective boundary layer (CBL) and dust emission are revealed in this study. Deep CBL enables the formation of clouds in the late afternoon, leading to significant cooling of surface. Large-scale buoyant coherent structures thereby transform into the mechanical coherent structures confined near the surface. The responses promote the earlier occurrence of low-level jet (LLJ) than in cloudless conditions, which allows the downward transport of LLJ momentum and substantially increases surface wind. Therefore, dust emission is initiated by strong wind at dusk and lasts for several hours. The results are useful to predict dust emissions and improve our understanding of distinctive boundary-layer processes in desert regions.</p>
Data from: Physical mechanisms of deep convective boundary layer leading to dust emission in the Taklimakan desert
Open the record for dataset details and reuse information.
Dataset for "Physicochemical properties and bioreactivity of sub-10 µm geogenic particles: comparison of volcanic ash and desert dust" published in GeoHealth
<p>Data Repository for:</p> <h2><strong>Physicochemical properties and bioreactivity of sub-10 µm geogenic particles: comparison of volcanic ash and desert dust</strong></h2> <p>Ines Tomašek<sup>1,2,3*</sup>, Julia Eychenne<sup>1,2</sup>, David E. Damby<sup>4</sup>, Adrian Hornby<sup>5,6</sup>, Manolis N. Romanias<sup>7</sup>, Severine Moune<sup>1</sup>, Gaëlle Uzu<sup>8</sup>, Federica Schiavi<sup>1</sup>, Maeva Dole<sup>1</sup>, Emmanuel Gardès<sup>1</sup>, Mickael Laumonier<sup>1</sup>, Clara Gorce<sup>1</sup>, Régine Minet-Quinard<sup>2,9</sup>, Julie Durif<sup>9</sup>, Corinne Belville<sup>2</sup>, Ousmane Traoré<sup>10,11</sup>, Loïc Blanchon<sup>2</sup><sup>†</sup>, Vincent Sapin<sup>2,9</sup><sup>†</sup></p> <p><sup>1</sup>Laboratoire Magmas et Volcans (LMV), CNRS, IRD, OPGC, Université Clermont Auvergne, France.</p> <p><sup>2</sup>Institute of Genetic Reproduction and Development (iGReD), Translational Approach to Epithelial Injury and Repair Team, CNRS, INSERM, Université Clermont Auvergne, France.</p> <p><sup>3</sup>Istituto Nazionale di Geofisica e Vulcanologia (INGV), Osservatorio Etneo, Catania, Italy.</p> <p><sup>4</sup>Volcano Science Center, U.S. Geological Survey (USGS), USA.</p> <p><sup>5</sup>Department of Earth and Atmospheric Sciences, Cornell University, USA.</p> <p><sup>6</sup>Department of Cellular and Molecular Biology, School of Medicine, University of Texas at Tyler, USA.</p> <p><sup>7</sup>Institut Mines-Télécom (IMT) Nord Europe, Centre for Energy and Environment, Université Lille, France.</p> <p><sup>8</sup>Université Grenoble Alpes, IRD, CNRS, INRAE, INP-G, IGE (UMR 5001), France.</p> <p><sup>9</sup>Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, Biochemistry and Molecular Genetics Department, France.</p> <p><sup>10</sup>Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, Infection Control Department, France.</p> <p><sup>11</sup>Laboratoire Microorganismes: Génome Environnement (LMGE), UMR, CNRS, Université Clermont Auvergne, France.</p> <p><sup>†</sup>These authors share the last authorship.</p> <p><sup>*</sup>Correspondence.</p>
"A Comprehensive Global Modelling Assessment of Nitrate Heterogeneous Formation on Desert Dust": Column loads monthly means per species.
<p>Column load monthly means of the different species traced with the MONARCH model. <br>The period is 201707 - 201712 (spin-up) and 201801 - 201812 (study period). <br><br>Files are distributed by type of mechanism (fTEQ, HYB and DBCLL) and species in the structure: <br><br><mechanism>_outputs/<methodology>/monthly_means/<species>/<species>_<YYYYMM>.nc</p>
Mitigating the Health Effects of Desert Dust Storms Using Exposure-Reduction Approaches
ClinicalTrials.gov study NCT03503812. IPD Sharing: UNDECIDED. Countries: 3. Publications: 11.
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International Brain Laboratory public data
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OpenNeuro
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