NRTI/L3_AER_AI This dataset provides near real-time high-resolution imagery of the UV Aerosol Index (UVAI), also called the Absorbing Aerosol Index (AAI). The AAI is based on wavelength-dependent changes in Rayleigh scattering in the UV spectral range for a pair of wavelengths. The difference between observed …
NRTI/L3_AER_LH This dataset provides offline high-resolution imagery of the UV Aerosol Index (UVAI), also called the Absorbing Layer Height (ALH). The ALH is very sensitive to cloud contamination. However, aerosols and clouds can be difficult to distinguish, and ALH is computed for all FRESCO effective …
OFFL/L3_AER_AI This dataset provides offline high-resolution imagery of the UV Aerosol Index (UVAI), also called the Absorbing Aerosol Index (AAI). The AAI is based on wavelength-dependent changes in Rayleigh scattering in the UV spectral range for a pair of wavelengths. The difference between observed and …
OFFL/L3_AER_LH This dataset provides offline high-resolution imagery of the UV Aerosol Index (UVAI), also called the Absorbing Layer Height (ALH). The ALH is very sensitive to cloud contamination. However, aerosols and clouds can be difficult to distinguish, and ALH is computed for all FRESCO effective …
The Copernicus Atmosphere Monitoring Service provides the capacity to continuously monitor the composition of the Earth's atmosphere at global and regional scales. The main global near-real-time production system is a data assimilation and forecasting suite providing two 5-day forecasts per day for aerosols and chemical …
The MCD19A1 Version 6.1 data product is a Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined Land Surface Bidirectional Reflectance Factor (BRF) gridded Level 2 product produced daily at 500 meter and 1 kilometer resolution. For more information see the MAIAC user guide.
The MCD19A2 V6.1 data product is a MODIS Terra and Aqua combined Multi-angle Implementation of Atmospheric Correction (MAIAC) Land Aerosol Optical Depth (AOD) gridded Level 2 product produced daily at 1 km resolution. For more information see the MAIAC user guide. NOTE: This product has …
M2T1NXAER (or tavg1_2d_aer_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated aerosol diagnostics, such as column mass density of aerosol components (black carbon, dust, sea-salt, sulfate, and organic carbon), surface …
M2I3NVAER (or inst3_3d_aer_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of aerosol mixing ratio parameters at 72 model layers, such as dust, sulphur dioxide, sea salt, black carbon, and …
The NOAA Climate Data Record (CDR) of Aerosol Optical Thickness (AOT) is a collection of global daily 0.1 degree derived data from the PATMOS-x AVHRR level-2b channel 1 (0.63 micron) orbital clear-sky radiance. The aerosol product is generated from AVHRR imagery in cloud-free conditions during …
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],[],[[["This page showcases a variety of datasets related to aerosol monitoring and analysis, including aerosol optical depth, layer height, and index."],["The datasets originate from various sources, including Copernicus Sentinel-5P, MODIS, MERRA-2, and NOAA AVHRR."],["They offer diverse temporal and spatial resolutions, ranging from near real-time to daily and offline data, at resolutions of 500m, 1km, and global scales."],["These datasets provide valuable insights into aerosol properties, distribution, and their impact on air quality, climate, and atmospheric composition."],["Users can leverage these datasets to study aerosol-related phenomena, conduct research on atmospheric processes, and assess environmental conditions."]]],[]]