OpenSearch

Using the NASA EOSDIS Common Metadata Repository

  1. Home
  2. Collection search

Collection Search

Displaying 1 to 10 of 36 (took 0 seconds)

  • THANGS Combined GEOLEO Aerosol 30-Min average L3 Global 0.25x0.25 degree grid

    https://cmr.earthdata.nasa.gov/search/concepts/C3903710663-LAADS.xml
    Description:

    This THANGS Combined GEOLEO Aerosol 30-Min average L3 Global 0.25x0.25 degree grid product, short-name XAERDT_L3_MEASURES_QD_HH represents the merge of the Level 2 (L2) XAERDT_L2 retrievals from the eight sensors, reported at half hour (HH) intervals and on a quarter degree (QD) latitude/longitude grid, where HH = 00 includes data from each hours :00 to :29 and HH = 30 between :30 and :59. First, each sensor’s observations are independently aggregated onto the HH and QD grid, noting that, there may be more than one GEO full disk image or LEO granule per HH period. This results in up to 7 sets of statistics (MODIS-Terra, MODIS-Aqua, VIIRS-SNPP, VIIRS-NOAA20, ABI-G16/East, ABI-G17/West, and AHI-H08 or AHI-H09 (depending on whether before or after 13 Dec 2022)). Second, the mean values for each sensor are merged to become a single value for each HH and QD grid box. The Level 3 (L3) XAERDT_L3 collection record spans from January 2019 through December 2022. The XAERDT_L3_MEASURES_QD_HH product is a part of the Geostationary Earth Orbit (GEO)-Low-Earth Orbit (LEO) Dark Target Aerosol project under NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, led by Robert Levy, uses a special version of the MODIS Dark Target (DT) aerosol retrieval algorithm to produce Aerosol Optical Depth (AOD) and other aerosol parameters derived independently from eight sensor/platform combinations, where four are in GEO and four are in LEO. The four GEO sensors include Advanced Baseline Imagers (ABI) on both GOES-16 (GOES-East) and GOES-17 (GOES-West), and Advanced Himawari Imager (AHI) on Himawari-8 and Himawari-9. The four LEO sensors include MODIS on both Terra and Aqua, and VIIRS on both Suomi-NPP and NOAA-20. Adding the LEO sensors reinforces a major goal of this project, which is to render a consistent science maturity level across DT aerosol products derived from both types and sources of orbital satellites. Only a handful of Level 2 variables are currently populated into the L3 product. These include the QA-filtered and non-filtered AOD at 0.55 mm, sensor zenith and scattering angles, and diagnostics such as the number of pixels used per sensor, and number of sensors used per merge. These files are presented in NetCDF4 format, and the data record is provided every half hour, from 2019 to 2022. The L3 contains 81 2-dimensional Scientific Data Sets (SDSs), which represent statistics for each sensor (e.g. mean, standard deviation) and statistics for the merge (mean, standard deviation, sensor weighting). Currently the sensor weighting is set as 1 if the sensor has data being used, and 0 otherwise. For more information consult [Dark Target aerosol team Page](https://darktarget.gsfc.nasa.gov/).

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -90 -180 90 180

    LAADS Short Name: XAERDT_L3_MEASURES_QD_HH Version ID: 1 Unique ID: C3903710663-LAADS

  • GHRSST Level 4 OSTIA Global Historical Reprocessed Foundation Sea Surface Temperature Analysis produced by the UK Meteorological Office

    https://cmr.earthdata.nasa.gov/search/concepts/C2586786218-POCLOUD.xml
    Description:

    The Operational Sea Surface Temperature and Sea Ice Analysis Reprocessed (OSTIA-REP) is a GHRSST reprocessed Level-4 sea surface temperature and ice-concentration analysis produced by the UK Met Office (UKMO) using optimal interpolation (OI) on a global 0.05 degree grid. It is a sister product of the Near Real Time version (OSTIA-NRT), but incorporates satellite data from over 25 different SST sensors as well as in situ data from drifting and moored buoys. The OSTIA-REP is produced on a biannual frequency when more satellite and climatology observations are available from existing geostationary IR, and polar orbiting IR and MW satellites in addition to the data used in OSTIA-NRT. While OSTIA-NRT is produced to mainly serve as a lower boundary condition in Numerical Weather Prediction (NWP) models, this OSTIA-REP aims to provide a more accurate and consistent record of SST measurements over time, which is crucial for detecting long-term climate trends and variability. Both versions follow GHRSST Data Processing Specification (GDS) version 2 format guidelines. Data to June 2022 are also distributed through the E.U. Copernicus Marine Service Information (https://marine.copernicus.eu/, DOI: https://doi.org/10.48670/moi-00168 with the following license). Please refer to the user guide for more information.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -90 -180 90 180

    POCLOUD Short Name: OSTIA-UKMO-L4-GLOB-REP-v2.0 Version ID: 2.0 Unique ID: C2586786218-POCLOUD

  • GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis (GDS version 2)

    https://cmr.earthdata.nasa.gov/search/concepts/C2036877535-POCLOUD.xml
    Description:

    A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the UK Met Office using optimal interpolation (OI) on a global 0.05x0.05 degree grid. The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) analysis uses satellite data from over 10 unique sensors that include the Advanced Very High Resolution Radiometer (AVHRR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Geostationary Operational Environmental Satellite (GOES) imager, the Infrared Atmospheric Sounding Interferometer (IASI), the Tropical Rainfall Measuring Mission Microwave Imager (TMI) and in situ data from ships, drifting and moored buoys. This analysis was specifically produced to be used as a lower boundary condition in Numerical Weather Prediction (NWP) models. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications and is updated daily with 24-hours nominal latency in a Near Real Time (NRT) mode. UKMO also produces the higher quality reprocessed OSTIA L4 SST using more sensors and data with a biannual latency (https://podaac.jpl.nasa.gov/dataset/OSTIA-UKMO-L4-GLOB-REP-v2.0).

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -90 -180 90 180

    POCLOUD Short Name: OSTIA-UKMO-L4-GLOB-v2.0 Version ID: 2.0 Unique ID: C2036877535-POCLOUD

  • Geostationary Earth Orbit Land Surface Temperature Hourly North and South America 4 km V002

    https://cmr.earthdata.nasa.gov/search/concepts/C3261922508-LPCLOUD.xml
    Description:

    The NASA Making Earth System Data Records for Use in Research Environments ([MEaSUREs](https://www.earthdata.nasa.gov/about/competitive-programs/measures)) GEOLST4KHR version 2 swath product provides per-pixel Land Surface Temperature (LST) with a spatial resolution of 4,000 meters (m). The product is produced daily in hourly increments using data acquired from Geostationary Operational Environmental Satellite (GOES) 8 and 10 through 17 satellites for the years 2000 through 2023. The GEOLST4KHR product provides LST values for both North and South America. The GEOLST4KHR data product utilizes the Modern-Era Retrospective analysis for Research and Applications Version 2 / Radiative Transfer for TIROS Operational Vertical Sounder (MERRA-2/RTTOV) Single-Channel Emissivity-Combined ASTER and MODIS Emissivity over Land (CAMEL) algorithm. The GEOLST4KHR product provides layers for cloud mask, latitude, longitude, land surface temperature, and land surface temperature error. A low-resolution browse is also available showing land surface temperature as an RGB (red, green, blue) image in JPEG format.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -20.9590268 -180 71.8922429 3.4957049

    LPCLOUD Short Name: GEOLST4KHR Version ID: 002 Unique ID: C3261922508-LPCLOUD

  • GHRSST NOAA/STAR GOES-16 ABI L2P America Region SST v2.70 dataset in GDS2

    https://cmr.earthdata.nasa.gov/search/concepts/C2036877465-POCLOUD.xml
    Description:

    GOES-16 (G16) is the first satellite in the US NOAA third generation of Geostationary Operational Environmental Satellites (GOES), a.k.a. GOES-R series (which will also include -S, -T, and -U). G16 was launched on 19 Nov 2016 and initially placed in an interim position at 89.5-deg W, between GOES-East and -West. Upon completion of Cal/Val in Dec 2018, it was moved to its permanent position at 75.2-deg W, and declared NOAA operational GOES-East on 18 Dec 2018. NOAA is responsible for all GOES-R products, including Sea Surface Temperature (SST) from the Advanced Baseline Imager (ABI). The ABI offers vastly enhanced capabilities for SST retrievals, over the heritage GOES-I/P Imager, including five narrow bands (centered at 3.9, 8.4, 10.3, 11.2, and 12.3 um) out of 16 that can be used for SST, as well as accurate sensor calibration, image navigation and co-registration, spectral fidelity, and sophisticated pre-processing (geo-rectification, radiance equalization, and mapping). From altitude 35,800 km, G16/ABI can accurately map SST in a Full Disk (FD) area from 15-135-deg W and 60S-60N, with spatial resolution 2km at nadir (degrading to 15km at view zenith angle, 67-deg) and temporal sampling of 10min (15min prior to 2 Apr 2019). The Level 2 Preprocessed (L2P) SST product is derived at the native sensor resolution using NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) system. ACSPO first processes every 10min FD data SSTs are derived from BTs using the ACSPO clear-sky mask (ACSM; Petrenko et al., 2010) and Non-Linear SST (NLSST) algorithm (Petrenko et al., 2014). Currently, only 4 longwave bands centered at 8.4, 10.3, 11.2, and 12.3 um are used (the 3.9 microns was initially excluded, to minimize possible discontinuities in the diurnal cycle). The regression is tuned against quality controlled in situ SSTs from drifting and tropical mooring buoys in the NOAA iQuam system (Xu and Ignatov, 2014). The 10-min FD data are subsequently collated in time, to produce 1-hr L2P product, with improved coverage, and reduced cloud leakages and image noise, compared to each individual 10min image. In the collated L2P, SSTs and BTs are only reported in clear-sky water pixels (defined as ocean, sea, lake or river, and up to 5 km inland) and fill values elsewhere. The L2P is reported in netCDF4 GHRSST Data Specification version 2 (GDS2) format, 24 granules per day, with a total data volume of 0.6GB/day. In addition to SST, ACSPO files also include sun-sensor geometry, four BTs in ABI bands 11 (8.4um), 13 (10.3um), 14 (11.2um), and 15 (12.3um) and two reflectances in bands 2 and 3 (0.64um and 0.86um; used for cloud identification). The l2p_flags layer includes day/night, land, ice, twilight, and glint flags. Other variables include NCEP wind speed and ACSPO SST minus reference SST (Canadian Met Centre 0.1deg L4 SST; available at https://podaac.jpl.nasa.gov/dataset/CMC0.1deg-CMC-L4-GLOB-v3.0). Pixel-level earth locations are not reported in the granules, as they remain unchanged from granule to granule. To obtain those, user has a choice of using a flat lat-lon file, or a Python script, both available at ftp://ftp.star.nesdis.noaa.gov/pub/socd4/coastwatch/sst/nrt/abi/nav/. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel. The ACSPO VIIRS L2P product is monitored and validated against in situ data (Xu and Ignatov, 2014) using the Satellite Quality Monitor SQUAM (Dash et al, 2010), and BTs are validated against RTM simulation in MICROS (Liang and Ignatov, 2011). A reduced size (0.2GB/day), equal-angle gridded (0.02-deg resolution), ACSPO L3C product is also available at https://podaac.jpl.nasa.gov/dataset/ABI_G16-STAR-L3C-v2.70, where gridded L2P SSTs are reported, and BT layers omitted.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -59 -135 59 -15

    POCLOUD Short Name: ABI_G16-STAR-L2P-v2.70 Version ID: 2.70 Unique ID: C2036877465-POCLOUD

  • GHRSST NOAA/STAR GOES-16 ABI L3C America Region SST v2.70 dataset in GDS2

    https://cmr.earthdata.nasa.gov/search/concepts/C2036877612-POCLOUD.xml
    Description:

    The ACSPO G16/ABI L3C (Level 3 Collated) product is a gridded version of the ACSPO G16/ABI L2P product available at https://podaac.jpl.nasa.gov/dataset/ABI_G16-STAR-L2P-v2.70. The L3C output files are 1hr granules in netCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). There are 24 granules per 24hr interval, with a total data volume of 0.2GB/day. Fill values are reported at all invalid pixels, including pixels with 5 km inland. For each valid water pixel (defined as ocean, sea, lake or river, and up to 5 km inland), the following layers are reported: SSTs, ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags), NCEP wind speed, and ACSPO SST minus reference (Canadian Met Centre 0.1deg L4 SST; available at https://podaac.jpl.nasa.gov/dataset/CMC0.1deg-CMC-L4-GLOB-v3.0). All valid SSTs in L3C are recommended for users. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with valid SST. The ACSPO VIIRS L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in SQUAM (Dash et al, 2010).

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -59 -135 59 -15

    POCLOUD Short Name: ABI_G16-STAR-L3C-v2.70 Version ID: 2.70 Unique ID: C2036877612-POCLOUD

  • ACTIVATE GOES-16 Supplementary Data Products

    https://cmr.earthdata.nasa.gov/search/concepts/C3880544757-LARC_CLOUD.xml
    Description:

    ACTIVATE-Satellite is the GOES-16 satellite data supporting the ACTIVATE suborbital campaign. ACTIVATE was a 5-year NASA Earth-Venture Sub-Orbital (EVS-3) field campaign. Marine boundary layer clouds play a critical role in Earth’s energy balance and water cycle. These clouds cover more than 45% of the ocean surface and exert a net cooling effect. The Aerosol Cloud meTeorology Interactions oVer the western Atlantic Experiment (ACTIVATE) project was a five-year project that provides important globally-relevant data about changes in marine boundary layer cloud systems, atmospheric aerosols and multiple feedbacks that warm or cool the climate. ACTIVATE studied the atmosphere over the western North Atlantic and sampled its broad range of aerosol, cloud and meteorological conditions using two aircraft, the UC-12 King Air and HU-25 Falcon. The UC-12 King Air was primarily used for remote sensing measurements while the HU-25 Falcon will contain a comprehensive instrument payload for detailed in-situ measurements of aerosol, cloud properties, and atmospheric state. A few trace gas measurements were also onboard the HU-25 Falcon for the measurements of pollution traces, which will contribute to airmass classification analysis. A total of 150 coordinated flights over the western North Atlantic occurred through 6 deployments from 2020-2022. The ACTIVATE science observing strategy intensively targets the shallow cumulus cloud regime and aims to collect sufficient statistics over a broad range of aerosol and weather conditions which enables robust characterization of aerosol-cloud-meteorology interactions. This strategy was implemented by two nominal flight patterns: Statistical Survey and Process Study. The statistical survey pattern involves close coordination between the remote sensing and in-situ aircraft to conduct near coincident sampling at and below cloud base as well as above and within cloud top. The process study pattern involves extensive vertical profiling to characterize the target cloud and surrounding aerosol and meteorological conditions.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 0 -95 60 -25

    LARC_CLOUD Short Name: ACTIVATE-Satellite Version ID: 1 Unique ID: C3880544757-LARC_CLOUD

  • ABI G16 Deep Blue L3 Daily Aerosol Data, 1 x 1 degree grid

    https://cmr.earthdata.nasa.gov/search/concepts/C3352252530-LAADS.xml
    Description:

    The Level-3 (L3) Advanced Baseline Imager (ABI) Geostationary Operational Environmental Satellite-16 (GOES-16) Deep Blue Daily Aerosol dataset is part of a 12-product suite produced by an Earth Science Research from Operational Geostationary Satellite Systems (ESROGSS)-funded project. The 12 products in this project include nine derived from three Geostationary Earth Observation (GEO) instruments and three from merged data from GEO and Low-Earth Orbit (LEO) instruments as summarized in the following table: | Platform | Instrument | Temporal Cadence | Spatial Res. | Product | | :-------: | :----------: | :------------------: | :-----------: | :-------: | | GOES-16 | Advanced Baseline Imager | 30 Min. | 10 km | AERDB_L2_ABI_G16 | | GOES-17 | Advanced Baseline Imager | 30 Min. | 10 km | AERDB_L2_ABI_G17 | | Himawari-8 | Advanced Himawari Imager | 30 Min. | 10 km | AERDB_L2_AHI_H08 | | **GOES-16** | **Advanced Baseline Imager** | **Daily** | **1˚ x 1˚** | **AERDB_D3_ABI_G16** | | GOES-17 | Advanced Baseline Imager | Daily | 1˚ x 1˚ | AERDB_D3_ABI_G17 | | Himawari-8 | Advanced Himawari Imager | Daily | 1˚ x 1˚ | AERDB_D3_AHI_H08 | | GOES-16 | Advanced Baseline Imager | Monthly | 1˚ x 1˚ | AERDB_M3_ABI_G16 | | GOES-17 | Advanced Baseline Imager | Monthly | 1˚ x 1˚ | AERDB_M3_ABI_G17 | | Himawari-8 | Advanced Himawari Imager | Monthly | 1˚ x 1˚ | AERDB_M3_AHI_H08 | | Multiple* | ABI, AHI, VIIRS, MODIS* | 30 Min. | 0.25˚ x 0.25˚ | AERDB_L2G_GEOLEO_Merged | | Multiple* | ABI, AHI, VIIRS, MODIS* | Daily | 1˚ x 1˚ | AERDB_D3_GEOLEO_Merged | | Multiple* | ABI, AHI, VIIRS, MODIS* | Monthly | 1˚ x 1˚ | AERDB_M3_GEOLEO_Merged | \* includes G16-ABI, G17-ABI, H08-AHI, SNPP-VIIRS, NOAA20-VIIRS, Terra MODIS & Aqua MODIS Derived from the L2 (AERDB_L2_ABI_G16) input data, each D3 ABI/GOES-16 product is produced daily at 1 x 1 degree horizontal resolution. In general, in this daily L3 (identified in the shortname as D3) aggregated product, each data field represents the arithmetic mean of all cells whose latitude and longitude places them within the bounds of each grid element. Another statistic like Standard Deviation is also provided in some cases. The final retrievals used in the aggregation process are QA-filtered best-estimate values for cells that are measured on the day of interest. Further, at least three such retrievals are required to render the validity of a grid cell on any given day. This first release of these products spans from May 2019 through April 2020 with a potential to generate additional temporal coverage in the future. Each L3 aggregated daily ABI/GOES-16 datafile contains 48 Science Data Sets (SDS) that include the following: 1. Aerosol_Optical_Thickness_550_Land_Count 2. Aerosol_Optical_Thickness_550_Land_Maximum 3. Aerosol_Optical_Thickness_550_Land_Mean 4. Aerosol_Optical_Thickness_550_Land_Mean_Hourly 5. Aerosol_Optical_Thickness_550_Land_Minimum 6. Aerosol_Optical_Thickness_550_Land_Ocean_Count 7. Aerosol_Optical_Thickness_550_Land_Ocean_Maximum 8. Aerosol_Optical_Thickness_550_Land_Ocean_Mean 9. Aerosol_Optical_Thickness_550_Land_Ocean_Mean_Hourly 10. Aerosol_Optical_Thickness_550_Land_Ocean_Minimum 11. Aerosol_Optical_Thickness_550_Land_Ocean_Standard_Deviation 12. Aerosol_Optical_Thickness_550_Land_Standard_Deviation 13. Aerosol_Optical_Thickness_550_Ocean_Count 14. Aerosol_Optical_Thickness_550_Ocean_Maximum 15. Aerosol_Optical_Thickness_550_Ocean_Mean 16. Aerosol_Optical_Thickness_550_Ocean_Mean_Hourly 17. Aerosol_Optical_Thickness_550_Ocean_Minimum 18. Aerosol_Optical_Thickness_550_Ocean_Standard_Deviation 19. Angstrom_Exponent_Land_Maximum 20. Angstrom_Exponent_Land_Mean 21. Angstrom_Exponent_Land_Mean_Hourly 22. Angstrom_Exponent_Land_Minimum 23. Angstrom_Exponent_Land_Ocean_Maximum 24. Angstrom_Exponent_Land_Ocean_Mean 25. Angstrom_Exponent_Land_Ocean_Mean_Hourly 26. Angstrom_Exponent_Land_Ocean_Minimum 27. Angstrom_Exponent_Land_Ocean_Standard_Deviation 28. Angstrom_Exponent_Land_Standard_Deviation 29. Angstrom_Exponent_Ocean_Maximum 30. Angstrom_Exponent_Ocean_Mean 31. Angstrom_Exponent_Ocean_Mean_Hourly 32. Angstrom_Exponent_Ocean_Minimum 33. Angstrom_Exponent_Ocean_Standard_Deviation 34. Fine_Mode_Fraction_550_Ocean_Mean 35. Fine_Mode_Fraction_550_Ocean_Standard_Deviation 36. Hours 37. Land_Bands 38. Latitude 39. Latitude_1D 40. Longitude 41. Longitude_1D 42. Ocean_Bands 43. Spectral_Aerosol_Optical_Thickness_Land_Count 44. Spectral_Aerosol_Optical_Thickness_Land_Mean 45. Spectral_Aerosol_Optical_Thickness_Land_Standard_Deviation 46. Spectral_Aerosol_Optical_Thickness_Ocean_Count 47. Spectral_Aerosol_Optical_Thickness_Ocean_Mean 48. Spectral_Aerosol_Optical_Thickness_Ocean_Standard_Deviation

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -90 -180 90 180

    LAADS Short Name: AERDB_D3_ABI_G16 Version ID: 1 Unique ID: C3352252530-LAADS

  • GEO-LEO Merged Deep Blue Aerosol Daily 1 x 1 degree Gridded L3

    https://cmr.earthdata.nasa.gov/search/concepts/C3348072630-LAADS.xml
    Description:

    The Level-3 (L3) Geostationary Earth Orbit (GEO)-Low-Earth Orbit (LEO) Merged Deep Blue Aerosol Daily 1 x 1-degree Gridded dataset is part of a 12-product suite produced by an Earth Science Research from Operational Geostationary Satellite Systems (ESROGSS)-funded project. The 12 products in this project include nine derived from three Geostationary Earth Observation (GEO) instruments and three from merged data from GEO and Low-Earth Orbit (LEO) instruments as summarized in the following table: | Platform | Instrument | Temporal Cadence | Spatial Res. | Product | | :-------: | :----------: | :------------------: | :-----------: | :-------: | | GOES-16 | Advanced Baseline Imager | 30 Min. | 10 km | AERDB_L2_ABI_G16 | | GOES-17 | Advanced Baseline Imager | 30 Min. | 10 km | AERDB_L2_ABI_G17 | | Himawari-8 | Advanced Himawari Imager | 30 Min. | 10 km | AERDB_L2_AHI_H08 | | GOES-16 | Advanced Baseline Imager | Daily | 1˚ x 1˚ | AERDB_D3_ABI_G16 | | GOES-17 | Advanced Baseline Imager | Daily | 1˚ x 1˚ | AERDB_D3_ABI_G17 | | Himawari-8 | Advanced Himawari Imager | Daily | 1˚ x 1˚ | AERDB_D3_AHI_H08 | | GOES-16 | Advanced Baseline Imager | Monthly | 1˚ x 1˚ | AERDB_M3_ABI_G16 | | GOES-17 | Advanced Baseline Imager | Monthly | 1˚ x 1˚ | AERDB_M3_ABI_G17 | | Himawari-8 | Advanced Himawari Imager | Monthly | 1˚ x 1˚ | AERDB_M3_AHI_H08 | | Multiple* | ABI, AHI, VIIRS, MODIS* | 30 Min. | 0.25˚ x 0.25˚ | AERDB_L2G_GEOLEO_Merged | | **Multiple*** | **ABI, AHI, VIIRS, MODIS*** | **Daily** | **1˚ x 1˚** | **AERDB_D3_GEOLEO_Merged** | | Multiple* | ABI, AHI, VIIRS, MODIS* | Monthly | 1˚ x 1˚ | AERDB_M3_GEOLEO_Merged | \* includes G16-ABI, G17-ABI, H08-AHI, SNPP-VIIRS, NOAA20-VIIRS, Terra MODIS & Aqua MODIS The L3 GEO-LEO Merged Deep Blue Aerosol daily product contains gridded Aerosol Optical Thickness (AOT) at 550 nm reference wavelength that are composited from the L2G product (AERDB_L2G_GEOLEO_Merged) using best-estimate AOT values. Please note that while the individual standalone gridded data layer for each instrument is calculated as the arithmetic mean, the merged AOT layer is derived via an error-weighted average approach. The final retrievals used in the aggregation process are QA-filtered best-estimate values for cells that are measured on the day of interest. Further, at least three such retrievals are required to render the validity of a grid cell on any given day. Each L3 daily aggregated datafile is spatially comprised of a 1˚ x 1˚ horizontal grid that exists for every 30 minutes. This first release of these products spans from May 2019 through April 2020 with a potential to generate additional temporal coverage in the future. Each L3 GEO-LEO Merged Deep Blue Aerosol daily datafile contains the following Science Data Sets (SDS): **GEO-LEO Merged Group SDS** 1. Aerosol_Optical_Thickness_550_Count_Land 2. Aerosol_Optical_Thickness_550_Count_Land_Ocean 3. Aerosol_Optical_Thickness_550_Count_Ocean 4. Aerosol_Optical_Thickness_550_Land 5. Aerosol_Optical_Thickness_550_Land_Ocean 6. Aerosol_Optical_Thickness_550_Maximum_Land 7. Aerosol_Optical_Thickness_550_Maximum_Land_Ocean 8. Aerosol_Optical_Thickness_550_Maximum_Ocean 9. Aerosol_Optical_Thickness_550_Minimum_Land 10. Aerosol_Optical_Thickness_550_Minimum_Land_Ocean 11. Aerosol_Optical_Thickness_550_Minimum_Ocean 12. Aerosol_Optical_Thickness_550_Ocean 13. Aerosol_Optical_Thickness_550_Standard_Deviation_Land 14. Aerosol_Optical_Thickness_550_Standard_Deviation_Land_Ocean 15. Aerosol_Optical_Thickness_550_Standard_Deviation_Ocean 16. Solar_Zenith_Angletion **GEO SDSs (G16/ABI, G17/ABI, H08/AHI) & LEO SDSs (T/A: MODIS, SNPP/NOAA-20: VIIRS)** 1. Aerosol_Optical_Thickness_550_Count_Land 2. Aerosol_Optical_Thickness_550_Count_Land_Ocean 3. Aerosol_Optical_Thickness_550_Count_Ocean 4. Aerosol_Optical_Thickness_550_Expected_Uncertainty_Land 5. Aerosol_Optical_Thickness_550_Expected_Uncertainty_Land_Ocean 6. Aerosol_Optical_Thickness_550_Expected_Uncertainty_Ocean 7. Aerosol_Optical_Thickness_550_Land 8. Aerosol_Optical_Thickness_550_Land_Ocean 9. Aerosol_Optical_Thickness_550_Ocean 10. Aerosol_Optical_Thickness_550_Standard_Deviation_Land 11. Aerosol_Optical_Thickness_550_Standard_Deviation_Land_Ocean 12. Aerosol_Optical_Thickness_550_Standard_Deviation_Ocean 13. Relative_Azimuth_Angle 14. Solar_Zenith_Angle 15. Viewing_Zenith_Angle

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -90 -180 90 180

    LAADS Short Name: AERDB_D3_GEOLEO_Merged Version ID: 1 Unique ID: C3348072630-LAADS

  • GEO-LEO Merged Deep Blue Aerosol 0.25x0.25 degree Gridded L2

    https://cmr.earthdata.nasa.gov/search/concepts/C3348093425-LAADS.xml
    Description:

    The Level-2G (L2G) Geostationary Earth Orbit (GEO)-Low-Earth Orbit (LEO) Merged Deep Blue Aerosol 0.25 x 0.25-degree Gridded dataset is part of a 12-product suite produced by an Earth Science Research from Operational Geostationary Satellite Systems (ESROGSS)-funded project. The 12 products in this project include nine derived from three Geostationary Earth Observation (GEO) instruments and three from merged data from GEO and Low-Earth Orbit (LEO) instruments as summarized in the following table: | Platform | Instrument | Temporal Cadence | Spatial Res. | Product | | :-------: | :----------: | :------------------: | :-----------: | :-------: | | GOES-16 | Advanced Baseline Imager | 30 Min. | 10 km | AERDB_L2_ABI_G16 | | GOES-17 | Advanced Baseline Imager | 30 Min. | 10 km | AERDB_L2_ABI_G17 | | Himawari-8 | Advanced Himawari Imager | 30 Min. | 10 km | AERDB_L2_AHI_H08 | | GOES-16 | Advanced Baseline Imager | Daily | 1˚ x 1˚ | AERDB_D3_ABI_G16 | | GOES-17 | Advanced Baseline Imager | Daily | 1˚ x 1˚ | AERDB_D3_ABI_G17 | | Himawari-8 | Advanced Himawari Imager | Daily | 1˚ x 1˚ | AERDB_D3_AHI_H08 | | GOES-16 | Advanced Baseline Imager | Monthly | 1˚ x 1˚ | AERDB_M3_ABI_G16 | | GOES-17 | Advanced Baseline Imager | Monthly | 1˚ x 1˚ | AERDB_M3_ABI_G17 | | Himawari-8 | Advanced Himawari Imager | Monthly | 1˚ x 1˚ | AERDB_M3_AHI_H08 | | **Multiple*** | **ABI, AHI, VIIRS, MODIS*** | **30 Min.** | **0.25˚ x 0.25˚** | **AERDB_L2G_GEOLEO_Merged** | | Multiple* | ABI, AHI, VIIRS, MODIS* | Daily | 1˚ x 1˚ | AERDB_D3_GEOLEO_Merged | | Multiple* | ABI, AHI, VIIRS, MODIS* | Monthly | 1˚ x 1˚ | AERDB_M3_GEOLEO_Merged | \* includes G16-ABI, G17-ABI, H08-AHI, SNPP-VIIRS, NOAA20-VIIRS, Terra MODIS & Aqua MODIS Each L2G GEO-LEO Merged Deep Blue Aerosol product contains gridded Aerosol Optical Thickness (AOT) at 550 nm reference wavelength, derived from seven merged GEO-LEO AOT layers (G16-ABI, G17-ABI, H08-AHI, SNPP-VIIRS, NOAA20-VIIRS, Terra MODIS and Aqua MODIS) and from each of the individual (three GEO and four LEO) instrument sources. Each L2G aggregated datafile is spatially comprised of a 0.25˚ x 0.25˚ horizontal grid that exists for every 30 minutes. This represents a 30-minute Deep Blue best-estimate AOT from each of the seven sources besides an error-weighted merged AOT layer. This first release of these products spans from May 2019 through April 2020 with a potential to generate additional temporal coverage in the future. Each L2G GEO-LEO Merged datafile contains the following Science Data Sets (SDS): **GEO-LEO Merged Group SDS** 1. Aerosol_Optical_Thickness_550_Count_Land 2. Aerosol_Optical_Thickness_550_Count_Land_Ocean 3. Aerosol_Optical_Thickness_550_Count_Ocean 4. Aerosol_Optical_Thickness_550_Land 5. Aerosol_Optical_Thickness_550_Land_Ocean 6. Aerosol_Optical_Thickness_550_Maximum_Land 7. Aerosol_Optical_Thickness_550_Maximum_Land_Ocean 8. Aerosol_Optical_Thickness_550_Maximum_Ocean 9. Aerosol_Optical_Thickness_550_Minimum_Land 10. Aerosol_Optical_Thickness_550_Minimum_Land_Ocean 11. Aerosol_Optical_Thickness_550_Minimum_Ocean 12. Aerosol_Optical_Thickness_550_Ocean 13. Aerosol_Optical_Thickness_550_Standard_Deviation_Land 14. Aerosol_Optical_Thickness_550_Standard_Deviation_Land_Ocean 15. Aerosol_Optical_Thickness_550_Standard_Deviation_Ocean 16. Solar_Zenith_Angletion **GEO SDSs (G16/ABI, G17/ABI, H08/AHI) & LEO SDSs (T/A: MODIS, SNPP/NOAA-20: VIIRS)** 1. Aerosol_Optical_Thickness_550_Count_Land 2. Aerosol_Optical_Thickness_550_Count_Land_Ocean 3. Aerosol_Optical_Thickness_550_Count_Ocean 4. Aerosol_Optical_Thickness_550_Expected_Uncertainty_Land 5. Aerosol_Optical_Thickness_550_Expected_Uncertainty_Land_Ocean 6. Aerosol_Optical_Thickness_550_Expected_Uncertainty_Ocean 7. Aerosol_Optical_Thickness_550_Land 8. Aerosol_Optical_Thickness_550_Land_Ocean 9. Aerosol_Optical_Thickness_550_Ocean 10. Aerosol_Optical_Thickness_550_Standard_Deviation_Land 11. Aerosol_Optical_Thickness_550_Standard_Deviation_Land_Ocean 12. Aerosol_Optical_Thickness_550_Standard_Deviation_Ocean 13. Relative_Azimuth_Angle 14. Solar_Zenith_Angle 15. Viewing_Zenith_Angle

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -90 -180 90 180

    LAADS Short Name: AERDB_L2G_GEOLEO_Merged Version ID: 1 Unique ID: C3348093425-LAADS