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Dataset results
16 results for “Fine aerosols”
A Pan-European, Quantile Machine learning (QML) based, Total, Fine-Mode and Coarse-Mode Aerosol Optical Depth dataset (QML AOD))
<p>The V 1.1.0 product is an improved Aerosol Optical Depth (AOD) product based on Gap-filled MAIAC AOD, which provide first full-coverage, high-resolution monitoring of fine-mode and coarse-mode aerosols in Europe from 2003-20. This dataset has successfully rectified the previously identified issue of weak associations between satellite AOD and PM2.5 in Europe, which was primarily attributable to current limitations of AOD data. Our innovative approach has yielded stronger correlations with PM10, PM2.5, and PMcoarse than previous AOD product, laying a critical groundwork for improving PM10, PM2.5, and PMcoarse predictions in further epidemiological studies or environmental monitoring.</p> <p>We have uploaded three QML AOD datasets in Geotiff format, covering the region from -27° to 72° latitude and from -25° to 45° longitude. These datasets will be useful for researchers and policymakers to better understand the impacts of aerosols on the environment and human health.</p> <p> Note: v1.0.0 product do not include MAIAC AOD in their models.</p> <p>Please read more details in our paper </p> <h1><span>Estimation of pan-European, daily total, fine-mode and coarse-mode Aerosol Optical Depth at 0.1° resolution to facilitate air quality assessments</span></h1> <p><a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.scitotenv.2024.170593" target="_blank" rel="noreferrer noopener"><span>https://doi.org/10.1016/j.scitotenv.2024.170593</span></a></p>
Datasets for: AERO-MAP: A data compilation and modelling approach to understand the fine and coarse mode aerosol composition
<p>This repository contains the data compilation, gridded datasets, model output, model source code changes and model inputs for the paper: “AERO-MAP: A data compilation and modelling approach to understand the fine and coarse mode aerosol composition “.</p> <p>The only change from the December 20, 2024 version is that a new variable "Distinct" is added which indicates whether the dataset is also included in the GHOST dataset by Bowdalo et al., 2024: https://essd.copernicus.org/articles/16/4417/2024/essd-16-4417-2024.pdf. All PM2.5 and PM10 datasets from GHOST are included in this dataset, but GHOST will be regularly updated.</p> <p> </p> <p>There are two subdirectories as tar files:</p> <p>collectoutputfiles.zip: which contains the detailed data descriptions in a csv files, gridded data in netcdf and model output in netcdf format. More details in the README file in that zipped directory.</p> <p>modelfiles.zip: which contains the Source code changes and input files needed to reproduce the simulations in the paper. More details in the README file in that zipped directory.</p>
ModIs Dust AeroSol (MIDAS): A global fine resolution dust optical depth dataset
<p>Monitoring and describing the spatiotemporal variability of dust aerosols is crucial to understand their multiple effects, related feedbacks and impacts within the Earth system. This study describes the development of the MIDAS (ModIs Dust AeroSol) dataset. MIDAS provides columnar daily dust optical depth (DOD) at 550 nm at global scale and fine spatial resolution (0.1° x 0.1°) over a 15-year period (2003-2017). This new dataset combines quality filtered satellite aerosol optical depth (AOD) retrievals from MODIS-Aqua at swath level (Collection 6.1, Level 2), along with DOD-to-AOD ratios provided by MERRA-2 reanalysis to derive DOD on the MODIS native grid. The uncertainties of MODIS AOD and MERRA-2 dust fraction with respect to AERONET and LIVAS, respectively, are taken into account for the estimation of the total DOD uncertainty. MERRA-2 dust fractions are in very good agreement with those of LIVAS across the “dust belt”, in the Tropical Atlantic Ocean and the Arabian Sea; the agreement degrades in North America and the Southern Hemisphere where dust sources are smaller. MIDAS, MERRA-2 and LIVAS DODs strongly agree when it comes to annual and seasonal spatial patterns, with collocated global DOD averages of 0.033, 0.031 and 0.029, respectively; however, deviations in dust loading are evident and regionally dependent. Overall, MIDAS is well correlated with AERONET-derived DODs (R=0.89), only showing a small positive bias (0.004 or 2.7%). Among the major dust areas of the planet, the highest R values (> 0.9) are found at sites of N. Africa, Middle East and Asia. MIDAS expands, complements and upgrades existing observational capabilities of dust aerosols and it is suitable for dust climatological studies, model evaluation and data assimilation.</p>
A year-round observation of δ13C of dicarboxylic acids and related compounds in fine aerosols: Implications from Central European background site
<p>Data for paper of following abstract:</p> <p>Isotopic analysis of specific compounds in aerosols can be a useful tool when studying atmospheric processes. Here, we present the results of stable carbon isotope ratio (δ<sup>13</sup>C) measurements performed on a one-year set (n = 96, Sep. 2013 - Aug. 2014) of dicarboxylic acids and related compounds in PM<sub>1</sub> at a rural Central European background site, Košetice (Czech Republic).</p> <p>The most <sup>13</sup>C enriched acid was oxalic (C<sub>2</sub>, annual average = -16.6±5.0‰) followed by malonic (C<sub>3</sub>, avg. = -19.9±6.6‰) and succinic (C<sub>4</sub>, avg. = -21.3±4.6‰) acids. Thus, δ<sup>13</sup>C values decreased with an increase in carbon numbers. Azelaic acid (C<sub>9</sub>, avg. = -27.2±3.6‰) was found to be the least <sup>13</sup>C enriched.</p> <p>A comparison of δ<sup>13</sup>C of dicarboxylic acids from other background sites, especially in Asia, shows similar values to those from the European site. This comparison also showed that C<sub>2</sub> is more <sup>13</sup>C enriched at background sites than at urban ones. In general, we did not observe significant seasonal differences in δ<sup>13</sup>C values of dicarboxylic acids at the Central European station. We observed statistically significant differences (p value < 0.05) between winter and summer δ<sup>13</sup>C values solely for C<sub>4</sub>, glyoxylic acid (ωC<sub>2</sub>), glutaric acid (C<sub>5</sub>) and suberic acid (C<sub>8</sub>).</p> <p>The only significant correlations between δ<sup>13</sup>C of C<sub>2</sub> and δ<sup>13</sup>C of C<sub>3</sub> were found in spring and summer, suggesting that the oxidation of C<sub>3</sub> to C<sub>2</sub> is significant in these months with a strong contribution from biogenic aerosols. The strongest season-independent annual correlation was observed in δ<sup>13</sup>C values between C<sub>2</sub> and C<sub>4</sub>, the two dominant dicarboxylic acids. Therefore, C<sub>4</sub> appears to be the main intermediate precursor of C<sub>2</sub> throughout the whole year.</p>
Year-round observations of stable carbon isotopic composition of diacids and related compounds in fine aerosols at Tianjin, North China – Data set
<p>To better understand the origins and photochemical processing of water-soluble organic aerosols in the Tianjin region, North China, we studied the stable isotopic composition (δ<sup>13</sup>C) of diacids, oxoacids, α-dicarbonyls, citric acid and fatty acids in fine aerosols (PM<sub>2.5</sub>) collected at an urban (Nankai District, ND; <em>n</em> = 121) and a suburban (Haihe Education Park, HEP; <em>n</em> = 40) sites in Tianjin from 5 July 2018 to 4 July 2019. The δ<sup>13</sup>C of diacids and related compounds were measured using a capillary gas chromatography (Agilent 7890B) coupled with isotope ratio mass spectrometry (GC-irMS) system. Based on seasonal variations in δ<sup>13</sup>C of selected species and linear relations with their concentrations and mass ratios, we found that the diacids and related compounds were mainly derived from fossil fuel including coal combustion and biomass burning and photochemical processing, preferably in gaseous- and aqueous-phases in warm (March-September) and cold (October-February) periods, respectively, in Tianjin, North China.</p>
Accurate observation of black and brown carbon in atmospheric fine particles via a versatile aerosol concentration enrichment system (VACES)
<p>The processed data used to prepare the paper.</p>
Towards improving short-term predictions of fine particulate matter over the United States via assimilation of satellite aerosol optical depth retrievals
<p>This dataset contains paired modeled and observed values of different trace gases and aerosol species over the CONUS for the period of 15 July to 14 August 2014 for the three different data assimilation experiments (BKG, MET_BE and MET+EMIS_BE) described in the paper. </p>
Predominance of Secondary Organic Aerosol to Particle-bound Reactive Oxygen Species Activity in Fine Ambient Aerosol
<p>Reactive oxygen species (ROS) are believed to contribute to the adverse health effects of aerosols. This may happen by inhaled particle-bound (exogenic) ROS (PB-ROS) or by ROS formed within the respiratory tract by certain aerosol components (endogenic ROS). We investigated the chemical composition of aerosols and their exogenic ROS content at the two contrasting locations Beijing (China) and Bern (Switzerland). We apportioned the ambient organic aerosol to different sources and attributed the observed water-soluble PB-ROS to them. The oxygenated organic aerosol (OOA, a proxy for secondary organic aerosol, SOA) explained the highest fraction of the exogenic ROS concentration variance at both locations. We also characterized primary and secondary aerosol emissions generated from different biogenic and anthropogenic sources in smog chamber experiments. The exogenic PB-ROS content in the OOA from these emission sources was comparable to that in the ambient measurements. Our results imply that SOA from gaseous precursors of different anthropogenic emission sources is a crucial source of water-soluble PB-ROS and should be additionally considered in toxicological and epidemiological studies in an adequate way besides primary emissions. The importance of PB-ROS may be connected to the seasonal trends in health effects of PM reported by epidemiological studies, with elevated incidences of adverse effects in warmer seasons, which are accompanied by more intense atmospheric oxidation processes.</p>
Global coarse and fine mode aerosol optical depth (cAOD, fAOD) from 2001 to 2020
<p>Coarse and fine mode aerosol optical depth (cAOD, fAOD) is critical for understanding the impact of different particle sizes on climate. Currently, the limited data length and high uncertainty of satellite products impair the applicability of cAOD and fAOD for climate research. Here, we propose a spatio-temporal co-action deep learning model (SCAM) for the retrieval of global land cAOD and fAOD (500 nm) from 2001 to 2020, at daily temporal resolution and 1° spatial resolution.</p> <p>The cAOD and fAOD products are uploaded as Geotiff format, stretched from -89.5° to 89.5° latitude and from -179.5° to 179.5° longitude. In some certain days the products might be inavailable, due to the missing MODIS satellite data used for calculating cAOD and fAOD. </p> <p> </p>
The field measured size-dependent volatility of ambient fine particles at different heating temperatures and the retrieval of aerosol chemical composition
<p>This is the data used in the paper of “Qiao, X, R., Chen, L., Ren, J, Y., et al. The field measured size-dependent volatility of ambient fine particles at different heating temperatures and the retrieval of aerosol chemical composition. Journal of Geophysical Research - Atmospheres”.</p>
Atmospheric evolutions and sources of chromophoric organic matters in fine aerosols over Xi'an, Northwest China
<p>From December 31, 2018 to January 21, 2019, semi-continuous atmospheric observations were carried out using the PILS-EEM-TOC and organic carbon (OC) / element carbon (EC) analyzer system, collected the hourly timeseries data and EEM components data. The timeseries data contains organic carbon (OC) /element carbon (EC) / water soluble organic carbon (WSOC), absorbance (Abs), air pollutants, wind speed, relative humidity, solar radiation, source appointment etc. data.</p>
Codes and Dataset for "Application of Low-Cost Fine Particulate Mass Monitors to Convert Satellite Aerosol Optical Depth to Surface Concentrations in North America and Africa"
<p>This file contains the codes and dataset pertaining to the manuscript "Application of Low-Cost Fine Particulate Mass Monitors to Convert Satellite Aerosol Optical Depth to Surface Concentrations in North America and Africa"</p>
Molecular distributions of diacids, oxoacids and -dicarbonyls in summer- and winter-time fine aerosols from Tianjin, North China: Emissions from combustion sources and aqueous phase secondary formation
<p>To understand the characteristics and sources of organic aerosols (OA) in North China, we studied diacids, oxoacids and <em>α</em>-dicarbonyls in summer- and winter-time fine aerosols (PM<sub>2.5</sub>) collected from Tianjin. Oxalic (C<sub>2</sub>) acid was found to be the most abundant diacid species, followed by succinic (C<sub>4</sub>), malonic (C<sub>3</sub>) and sebacic (C<sub>8</sub>) acids, respectively. Glyoxylic (wC<sub>2</sub>) was the most abundant oxoacids followed by pyruvic acid. Concentrations of total diacids, oxoacids and <em>α</em>-dicarbonyls in winter were 2~3 times higher than those in summer, but their mass fractions in PM<sub>2.5</sub> were exactly the opposite. On average, total diacids carbon accounted for 2.9% in total carbon and 3.3% in organic carbon (OC) in summer and 1.8% and 2.0%, respectively, in winter. Their contributions to water-soluble OC (WSOC) was almost the same in both seasons (5.5% and 5.3%, respectively). Molecular distributions, mass ratios of selected diacid (C<sub>3</sub>, C<sub>4</sub>, M, F C<sub>6</sub>, Ph and C<sub>9</sub>) species and the linear relations among the selected species (including åC<sub>2</sub>-C<sub>4</sub> and åC<sub>8</sub>-C<sub>12</sub>) and with inorganic markers (K<sup>+</sup> and SO<sub>4</sub><sup>2-</sup>) implied that the diacids and related compounds are mainly originated from coal combustion and biomass burning emissions and produced in the atmosphere by both <em>in-situ</em> photochemical reactions at local scale and aging during long-range transport in both summer and winter. This study revealed that diacids and related compounds and WSOC are increased with increasing SO<sub>4</sub><sup>2-</sup> and they are produced in aqueous phase, implying the need of reduction in oxidants (NO<em><sub>x</sub></em> and SO<sub>2</sub>) emissions to control the water-soluble OA loading over North China.</p>
Characteristics, Origins, and Atmospheric Processes of Amines in Fine Aerosol Particles in Winter in China
<p>data</p>
Proteinaceous Matter and Liquid Water in Fine Aerosols in Nanchang, Eastern China: Seasonal Variations, Sources, and Potential Connections
<p>DATA-JGR-A</p>
Major outputs for source apportionment of fine secondary inorganic aerosol over the Pearl River Delta region using a hybrid method
<p>The results for our work can be downloaded from this URL. The source impact estimates were simulated by CAMx (v6.4) with the module of PSAT in January, April, July, and October 2015. Matlab R2017b was used to perform spatial interpolation, optimization, and statistics calculations.</p>
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OpenNeuro
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