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51 results for “Aerosol Optical Depth”
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>
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>
WRF-Chem simulation results of Aerosol Optical Depth and PM2.5 concentrations
<p>This is the data for the manuscript submitted to JGR-Atmosphere: Simulations and characteristics of extreme aerosol events over eastern North America. </p>
WORCC-PMOD/WRC quality assured aerosol optical depth and Ångström exponent for Ny-Ålesund GAW station (2002- present)
<p>WORCC-PMOD/WRC quality assured aerosol optical depth and Ångström exponent for Ny-Ålesund GAW station (2002- present)</p> <p>Aerosol optical depth (AOD) measurements have been performed within the frame of Global Atmospheric Watch Precision Filter Radiometer (GAW-PFR) network in Ny-Ålesund (79N,11E) since 2002. The measurements are performed from March to October, with PFR (PrecisionFilterRadiometer) instruments provided by Physikalisch-Meteorologisches Observatorium Davos, World Radiation Center (PMOD/WRC). The solar tracker and infrastructure are provided by provided by NILU(Norsk institutt for luftforskning) in collaboration with the Norwegian Polar Institute.</p> <p>PFR manufactured by PMOD/WRC is a temperature stabilized instrument at 20<sup>o</sup> C equipped with four narrow band interference filters with nominal centroid wavelengths 368 nm, 412 nm, 500 nm and 862 nm and bandpass (fullwidth half maximum) 4 nm for 368 nm channel and 5 nm for the rest. The instrument is calibrated in yearly bases against the WMO-AOD reference at PMOD/WRC during the polar winter. The operation is done remotely by PMOD/WRC with the installation and onsite maintenance (cleaning, alignment adjustments) done by personnel of Norwegian Polar Institute and NILU in collaboration with PMOD/WRC.</p> <p>The processing and quality assurance of the data is done following the protocols of World Optical depth Research and Calibration Center (WORCC, PMOD/WRC) (2018), and the data are submitted to the WDCA database (EBAS-NILU) as hourly mean AOD and AE values. This dataset contains the high-resolution data (1 min) cloud screened and quality assured since 2002. The provided Ångström exponent is retrieved from the 4 wavelengths.</p> <p> </p> <p> </p> <p>SUN_PFR_AOD_AE_V1.0.dat : AOD and AE for the period 2002-2021</p> <p>Lunar_PFR_AOD_AE_V1.0.dat : AOD and AE for the period 2018-2021</p> <p> </p> <p> </p> <p>KN: Calibration, operation, and processing since 2014, WORCC quality assurance protocols, quality assurance of the presented dataset</p> <p>KS: , WORCC quality assurance protocols, consulting on quality assurance of the presented dataset</p> <p>WC: calibration, operation, and processing 2002- 2014</p> <p>NS: operation and processing 2005- 2012</p> <p>HGH: principal investigator of hosting institute NILU</p> <p>SK: principal investigator of hosting institute NILU</p> <p>Acknowledgement: Special thanks the personnel of the Norwegian Polar Institute at Ny-Ålesund for all valuable the technical support for the solar and lunar measurements.</p> <p> </p> <p> </p> <p>1. Kazadzis, S., Kouremeti, N., Nyeki, S.<em>, et al.</em> (2018) The World Optical Depth Research and Calibration Center (WORCC) quality assurance and quality control of GAW-PFR AOD measurements 10.5194/gi-7-39-2018 <a href="https://gi.copernicus.org/articles/7/39/2018/">https://gi.copernicus.org/articles/7/39/2018/</a></p> <p> </p>
Aerosol Optical Depth (AOD) over the Nepalese cryosphere derived from an empirical model
<p>In this manuscript, we demonstrate the spatial and temporal variability of AOD over the Nepalese cryosphere may be reconstructed through empirical relationships developed from numerical weather model analysis fields and geographic variables. Our manuscript is novel, providing:<br> * a capability to extrapolate AOD over the cryospheric portion of Nepalese Himalayas<br> * an understanding of the relationships between ECMWF Reanalysis with observed AOD<br> * and a cross-validation of an empirical model using MODIS derived AOD and AERONET data.</p> <p>The empirical model that we present in this study, could potentially be applied to other mountains regions. We believe that the findings presented in our manuscript provide a novel approach to address the challenge of paucity of observations for aerosols in the cryospheric portion in Himalaya region. </p> <p> </p> <p> </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>
Animation of Sentinel-3 aerosol optical depth over Europe in 2019.
<p>Animation of Sentinel-3 aerosol optical depth over Europe in 2019. 14 day averages. Left: Sentinel-3 Synergy land product. Middle: Machine learning based retrieval. Right: POPCORN post-process corrected aerosol optical depth.</p>
Global daily Aerosol Optical Depth measurements from Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA's Aqua and Terra satellites
<p>This repository contains input MODIS AOD data prepared for “Subways and Urban Air Polution” by Gendron-Carrier, Gonzalez-Navarro, Polloni and Turner (American Economic Journal: Applied Economics, <a href="https://doi.org/10.1257/app.20180168">https://doi.org/10.1257/app.20180168</a>). The main replication archive is available at <a href="https://doi.org/10.3886/E126401V1">https://doi.org/10.3886/E126401V1</a> .</p> <p>Description of input MODIS AOD data</p> <p>The Moderate Resolution Imaging Spectroradiometers aboard the Terra and Aqua earth-observing satellites provide daily measures of the aerosol optical depth of the atmosphere at a 3km spatial resolution everywhere in the world. Data is available in ‘granules’ which describe five minutes of satellite time. These granules are available, more or less continuously, from February 24, 2000 for the Terra satellite and from July 4, 2002 for Aqua. During September of 2018, we downloaded all available granules for Terra and Aqua until August 31, 2018 and subsequently consolidated them into daily rasters describing global AOD. In August 2020, we processed additional Terra data. This archive therefore contains daily rasters for Aqua (from 2002-07-04 to 2018-08-31) and Terra (from 2000-02-24 to 2020-07-31). We note that February 2005 data are missing for the Aqua satellite.</p> <p> </p> <p>We use source products MOD04_3K (<a href="https://doi.org/10.5067/MODIS/MOD04_L2.006">https://doi.org/10.5067/MODIS/MOD04_L2.006</a>) and MYD04_3K (<a href="https://doi.org/10.5067/MODIS/MYD04_L2.006">https://doi.org/10.5067/MODIS/MYD04_L2.006</a>). The product files are stored in Hierarchical Data Format (HDF) and we use the "Optical Depth Land And Ocean" layer, which is stored as a Scientific Data Set (SDS) within the HDF file, as our measure of aerosol optical depth. The "Optical Depth Land And Ocean" dataset contains only the AOD retrievals of high quality. We convert all HDF formatted granules to GIS compatible formats using the HDF-EOS To GeoTIFF Conversion Tool (HEG) provided by NASA’s Earth Observing System Program. We consolidate GeoTIFF granules into a global raster for each day using ArcGIS. First, we keep only AOD values that do contain information. The missing value is -9999 in AOD retrievals. Second, we create a raster catalog with all the granules for a given day and calculate the average AOD value using the Raster Catalog to Raster Dataset tool. The code used to accomplish this is included for reference purposes in “dofiles/old_work” of the main replication archive at <a href="https://doi.org/10.3886/E126401V1">https://doi.org/10.3886/E126401V1</a>.</p>
Analysis of aerosol optical depth variation at Zhongshan Station in Antarctica
Open the record for dataset details and reuse information.
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>
Global daily 0.5 deg coarse mode aerosol optical depth (cAOD) from 2001 to 2021
<p>Coarse mode aerosol optical depth (cAOD) is critical for understanding the impact of coarse mode particles on climate, such as dust. Currently, the limited data length and high uncertainty of satellite products impair the applicability of cAOD for climate research. Here, we propose a spatiotemporal co-action deep learning model (SCAM) for the retrieval of global land cAOD (500 nm) from 2001 to 2021 at daily temporal resolution and 0.5° spatial resolution.</p> <p>The cAOD products are uploaded in Geotiff format, stretched from -89.5° to 89.5° latitude and from -179.5° to 179.5° longitude. On certain days the products might be unavailable, due to the missing MODIS satellite data used for calculating cAOD. </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>
Assimilation of aerosol optical depth into the Warn-on-Forecast System for Smoke (WoFS-Smoke)
<p>Model data and code for: <strong>Assimilation of aerosol optical depth into the Warn-on-Forecast System for Smoke (WoFS-Smoke)</strong></p>
TROPOMI/Sentinel-5P Near UV Aerosol Optical Depth and Single Scattering Albedo L2 1-Orbit Snapshot 7.5 km x 3 km
As part of the NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, this projects describes a multi-decadal Fundamental Climate Data Record (FCDR) of calibrated radiances as well as an Earth System Data Record (ESDR) of aerosol properties over the continents derived from a 32-year record of satellite near-UV observations by three sensors. The Corpenicus Sentinel-5P TROPOMI Near UV (version 1) Aerosol Optical Depth and Single Scattering Albedo data product consists of aerosol absorption optical depth, aerosol total optical depth, aerosol layer height, aerosol UV index, and aerosol single scattering albedo at approximately 7.5kmx3km. This product also contains ancillary data for ocean corrected surface albedo and terrain pressure.Data since July 19, 2022 (orbit 24688) has been processed with the most recent calibrated L1B radiance data (version 2.0.1). Data prior to July 19, 2022, data was processed with version 2.0.0 L1B radiances. Soon, the entire record will be reprocessed using version 2.0.1 L1B data. Any upgrades will be posted here. These Level-2 data are stored in the NetCDF-4 format and are available from the Goddard Earth Sciences (GES) Data and Information Services Center (DISC).
OMI/Aura Multi-wavelength Aerosol Optical Depth and Single Scattering Albedo L3 1 day Best Pixel in 0.25 degree x 0.25 degree V3 (OMAEROe) at GES DISC
The OMI science team produces this Level-3 Aura/OMI Global Aerosol Data Products OMAEROe (0.25deg Lat/Lon grids). The OMAEROe product selects best aerosol value from the Level2G good quality data that are reported in each grid, based on the multi-wavelength algorithm that uses up to 20 wavelength bands between 331 nm and 500 nm. The selection criteria is based on the shortest optical path length (secant of solar zenith angle + secant of viewing zenith angle).The OMAEROe files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMAEROe data product is about 7 Mbytes. (The shortname for this Level-3 Global Gridded Aerosol Product is OMAEROe)
OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 (OMAERUV) at GES DISC
The Aura Ozone Monitoring Instrument level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data are available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). The shortname for this Level-2 near-UV Aerosol Product is OMAERUV_V003. The OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km).The OMAERUV files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes.
OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo L3 1 day 1.0 degree x 1.0 degree V3 (OMAERUVd) at GES DISC
The OMI science team produces this Level-3 daily global gridded product OMAERUVd (1 deg Lat/Lon grids). The OMAERUVd product is produced with all data pixels that fall in a grid box with quality filtered and then averaged, based on the pixel level OMI Level-2 Aerosol data product OMAERUV. The OMAERUV data product is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data. The OMAERUVd data product contains extinction and absorption optical depths at three wavelenghts (355 nm, 388 nm and 500 nm). The OMAERUVd files are stored in version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMAERUVd data product is about 0.2 Mbytes.
OMI/Aura Near UV Aerosol Index, Optical Depth and Single Scattering Albedo 1-Orbit L2 13x24km
As part of the NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, this projects describes a multi-decadal Fundamental Climate Data Record (FCDR) of calibrated radiances as well as an Earth System Data Record (ESDR) of aerosol properties over the continents derived from a 32-year record of satellite near-UV observations by three sensors. The OMI/Aura Near UV (version 1) Aerosol Index, Optical Depth and Single Scattering Albedo data product consists of aerosol absorption optical depth, aerosol optical depth, aerosol single scattering albedo, cloud fraction, cloud optical depth, refractive index, radiance, reflectivity and residue at approximately 13x24km. This product also contains ancillary data for ocean corrected surface albedo and terrain pressure.These Level-2 data are stored in the Hierarchical Data Format 5 (HDF5) and are available from the Goddard Earth Sciences (GES) Data and Information Services Center (DISC).
SeaWiFS Deep Blue Aerosol Optical Depth and Angstrom Exponent Monthly Level 3 Data Gridded at 0.5 Degrees V004 (SWDB_L3M05) at GES DISC
The SeaWiFS Deep Blue Level 3 monthly product contains monthly global gridded (0.5 x 0.5 deg) Version 4 data derived from SeaWiFS Deep Blue Level 3 daily gridded data at the same spatial resolution. The primary data parameters are aerosol optical thickness, and Angstrom exponent.
OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V004 (OMAERUV) at GES DISC
The Aura Ozone Monitoring Instrument level-2 near UV Aerosol data product OMAERUV (Version 004) is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. The OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Optical Depth, Aerosol Single Scattering Albedo, Absorption Optical Depth, UV Aerosol Index, and Aerosol Optical Depth over clouds at three wavelengths (354, 388, and 500 nm), and other ancillary and geolocation parameters, in the OMI field of view (13x24 km).The OMAERUV files are stored in the version 4.0 Network Common Data Form (NetCDF). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 17 Mbytes.
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