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Using the NASA EOSDIS Common Metadata Repository

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  • CMS: Daily Gross Primary Productivity over CONUS from TROPOMI SIF, 2018-2021

    https://cmr.earthdata.nasa.gov/search/concepts/C2390701035-ORNL_CLOUD.xml
    Description:

    This dataset includes estimates of gross primary production (GPP) for the conterminous U.S., for 2018-02-15 to 2021-10-15, based on measurements of solar-induced chlorophyll fluorescence from the TROPOspheric Monitoring Instrument (TROPOMI) on the Sentinel-5P satellite platform. GPP was estimated from rates of photosynthesis inferred from SIF using a linear model and ecosystem scaling factors from 102 AmeriFlux sites. Knowledge of the spatiotemporal patterns of GPP is necessary for understanding regional and global carbon budgets. Broad-scale estimates of GPP have typically relied upon carbon cycle models linking spatial patterns of vegetation with remotely sensed environmental data. SIF provides a means to directly estimate photosynthetic activity, and therefore, GPP. Recent deployments of satellite platforms that measure SIF provide near-real-time measurements and represent a breakthrough in measuring GPP on a global scale. Regular SIF measurements can detect spatially explicit ecosystem-level responses to climate events such as drought and flooding. This dataset includes spatially explicit estimates of GPP (g m-2 d-1), uncertainty in GPP, and related TROPOMI SIF measurements (mW m-2 sr-1 nm-1) at 500-m resolution. The data are provided in NetCDF format.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 24 -125 50 -65

    ORNL_CLOUD Short Name: GPP_CONUS_TROPOMI_1875 Version ID: 1 Unique ID: C2390701035-ORNL_CLOUD

  • ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged methane from Sentinel-5P, generated with the WFM-DOAS algorithm, version 1.2

    https://cmr.earthdata.nasa.gov/search/concepts/C2548142898-FEDEO.xml
    Description:

    This product is the column-average dry-air mole fraction of atmospheric methane, denoted XCH4. It has been retrieved from radiance measurements from the TROPOspheric Monitoring Instrument (TROPOMI) on the Sentinel-5 Precursor satellite in the 2.3 µm spectral range of the solar spectral range, using the Weighting Function Modified Differential Optical Absorption Spectroscopy (WFM-DOAS or WFMD) retrieval algorithm. This dataset is also referred to as CH4_S5P_WFMD.The WFMD algorithm is based on iteratively fitting a simulated radiance spectrum to the measured spectrum using a least-squares method. The algorithm is very fast as it is based on a radiative transfer model based look-up table scheme. The product is limited to cloud-free scenes on the Earth's day side.This data was produced as part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project.

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

    FEDEO Short Name: 3534bbf43fa14e40bc61944eaf664511 Version ID: NA Unique ID: C2548142898-FEDEO

  • HAQAST Sentinel-5P TROPOMI Nitrogen Dioxide (NO2) CONUS Annual Level 3 0.01 x 0.01 Degree Gridded Data V2.4 (HAQ_TROPOMI_NO2_CONUS_A_L3) at GES DISC

    https://cmr.earthdata.nasa.gov/search/concepts/C2839237129-GES_DISC.xml
    Description:

    This product provides level 3 annual averages of tropospheric Nitrogen dioxide (NO2) vertical column density derived from the level 2 Tropospheric Monitoring Instrument (TROPOMI) across the Continental United States oversampled to a spatial resolution of 0.01˚ x 0.01˚ (~1 km2) using a consistent algorithm from the European Space Agency (ESA) version 2.4 that can be used for trend analysis of air pollution. The dataset record began in 2019 and continues to the present. This L3 product was developed by the George Washington University Air, Climate and Health Laboratory as part of the NASA Health Air Quality Applied Science Team (HAQAST) using Level 2 version 2.4 TROPOMI NO2 files from the ESA. The TROPOMI instrument on Sentinel-5 Precursor acquires tropospheric NO2 column contents from low Earth orbit (~824 km above ground level) once per day globally at approximately 13:30 local time. NO2 is an air pollutant that adversely affects the human respiratory system and leads to premature mortality. NO2 is also an important precursor for ozone and fine particulates, which also have severe health impacts. In urban areas, the majority of NO2 originates from anthropogenic NOx (=NO+NO2; most NOx is emitted as NO, which rapidly cycles to NO2) emissions during high-temperature fossil fuel combustion. Tropospheric NO2 vertical column contents are qualitatively representative of near-surface NO2 concentrations and NOx emissions in urban/polluted locations.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 24.5 -124.75 49.49 -66.76

    GES_DISC Short Name: HAQ_TROPOMI_NO2_CONUS_A_L3 Version ID: 2.4 Unique ID: C2839237129-GES_DISC

  • HAQAST Sentinel-5P TROPOMI Nitrogen Dioxide (NO2) CONUS Monthly Level 3 0.01 x 0.01 Degree Gridded Data V2.4 (HAQ_TROPOMI_NO2_CONUS_M_L3) at GES DISC

    https://cmr.earthdata.nasa.gov/search/concepts/C2839237275-GES_DISC.xml
    Description:

    This product provides level 3 annual averages of tropospheric Nitrogen dioxide (NO2) vertical column density derived from the level 2 Tropospheric Monitoring Instrument (TROPOMI) across the Continental United States oversampled to a spatial resolution of 0.01˚ x 0.01˚ (~1 km2) using a consistent algorithm from the European Space Agency (ESA) version 2.4 that can be used for trend analysis of air pollution. The dataset record began in May 2018 and continues to the present. This L3 product was developed by the George Washington University Air, Climate and Health Laboratory as part of the NASA Health Air Quality Applied Science Team (HAQAST) using Level 2 version 2.4 TROPOMI NO2 files from the ESA. The TROPOMI instrument on Sentinel-5 Precursor acquires tropospheric NO2 column contents from low Earth orbit (~824 km above ground level) once per day globally at approximately 13:30 local time. NO2 is an air pollutant that adversely affects the human respiratory system and leads to premature mortality. NO2 is also an important precursor for ozone and fine particulates, which also have severe health impacts. In urban areas, the majority of NO2 originates from anthropogenic NOx (=NO+NO2; most NOx is emitted as NO, which rapidly cycles to NO2) emissions during high-temperature fossil fuel combustion. Tropospheric NO2 vertical column contents are qualitatively representative of near-surface NO2 concentrations and NOx emissions in urban/polluted locations.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 24.5 -124.75 49.49 -66.76

    GES_DISC Short Name: HAQ_TROPOMI_NO2_CONUS_M_L3 Version ID: 2.4 Unique ID: C2839237275-GES_DISC

  • HAQAST Sentinel-5P TROPOMI Nitrogen Dioxide (NO2) CONUS Seasonal Level 3 0.01 x 0.01 Degree Gridded Data V2.4 (HAQ_TROPOMI_NO2_CONUS_S_L3) at GES DISC

    https://cmr.earthdata.nasa.gov/search/concepts/C2839237223-GES_DISC.xml
    Description:

    This product provides level 3 seasonal averages of tropospheric Nitrogen dioxide (NO2) vertical column density derived from the level 2 Tropospheric Monitoring Instrument (TROPOMI) across the Continental United States oversampled to a spatial resolution of 0.01˚ x 0.01˚ (~1 km2) using a consistent algorithm from the European Space Agency (ESA) version 2.4 that can be used for trend analysis of air pollution. The dataset record began in June-August 2018 and continues to the present. This L3 product was developed by the George Washington University Air, Climate and Health Laboratory as part of the NASA Health Air Quality Applied Science Team (HAQAST) using Level 2 version 2.4 TROPOMI NO2 files from the ESA. The TROPOMI instrument on Sentinel-5 Precursor acquires tropospheric NO2 column contents from low Earth orbit (~824 km above ground level) once per day globally at approximately 13:30 local time. NO2 is an air pollutant that adversely affects the human respiratory system and leads to premature mortality. NO2 is also an important precursor for ozone and fine particulates, which also have severe health impacts. In urban areas, the majority of NO2 originates from anthropogenic NOx (=NO+NO2; most NOx is emitted as NO, which rapidly cycles to NO2) emissions during high-temperature fossil fuel combustion. Tropospheric NO2 vertical column contents are qualitatively representative of near-surface NO2 concentrations and NOx emissions in urban/polluted locations.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 24.5 -124.75 49.49 -66.76

    GES_DISC Short Name: HAQ_TROPOMI_NO2_CONUS_S_L3 Version ID: 2.4 Unique ID: C2839237223-GES_DISC

  • High Resolution Land Cover-Specific Solar-Induced Fluorescence, Midwestern USA, 2018

    https://cmr.earthdata.nasa.gov/search/concepts/C2345900038-ORNL_CLOUD.xml
    Description:

    This dataset provides estimated solar-induced chlorophyll fluorescence (SIF) of specific vegetation types and total SIF under clear-sky and real/cloudy conditions at a resolution of 4 km for the Midwest USA. The estimates are 8-day averaged daily means over the 2018 crop growing season for the time period 2018-05-01 to 2018-09-29. SIF of a specific vegetation type (i.e., corn, soybean, grass/pasture, forest) was expressed as the product of photosynthetically active radiation (PAR), the fraction of photosynthetically active radiation absorbed by the canopy (fPAR), and canopy SIF yield (SIFyield) for each vegetation type. Uncertainty of each variable was also calculated and is provided. These components of the SIF model were derived using a TROPOspheric Monitoring Instrument (TROPOMI) dataset, the USDA National Agricultural Statistics Service Cropland Data Layer, and the MODIS MCD15A2H 8-day 500 m fPAR product. These data could be used to improve estimates of vegetation productivity and vegetation stress.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 34.98 -110.02 49.94 -77.98

    ORNL_CLOUD Short Name: SIF_PAR_fPAR_US_Midwest_2018_1813 Version ID: 1 Unique ID: C2345900038-ORNL_CLOUD

  • Multi-Satellite Air Quality Sulfur Dioxide (SO2) Database Long-Term L4 Global V2 (MSAQSO2L4) at GES DISC

    https://cmr.earthdata.nasa.gov/search/concepts/C2503251631-GES_DISC.xml
    Description:

    These data are a part of Multi-Decadal Sulfur Dioxide (SO2) Climatology from Satellite Instruments (MEaSUREs-12-0022 project). Version 2 of the global catalogue of emissions from large SO2 point sources combines data from the Ozone Monitoring Instrument (OMI) on NASA’s EOS Aura spacecraft, the Ozone Mapping and Profiler Suite (OMPS) on the NASA–NOAA Suomi National Polar-orbiting Partnership (SNPP), and the TROPOspheric Monitoring Instrument (TROPOMI) on the ESA/Copernicus Sentinel-5 Precursor (S-5P) spacecraft. The catalogue MSAQSO2L4 file contains the site coordinates, source type, country, source name, annual SO2 emissions, annual emission uncertainties, and the number of satellite pixels in the fitting area for three satellite instruments as well as for their weighted average. The emission estimates are based on operational version 2 OMI and OMPS Principal Component Analysis (PCA) retrieval algorithm SO2 slant column density (SCD) data (Li et al., 2020) as well as on new TROPOMI Covariance-Based Retrieval Algorithm (COBRA) SCD data (Theys et al., 2021). A single time-independent site-specific Air-Mass Factor (AMF) value for each site was calculated (McLinden et al., 2014) and applied consistently to each satellite SCD dataset to derive SO2 vertical column densities (VCDs=SCDs/AMFs). The emission estimate method is based on a fit of satellite VCDs to an empirical plume model developed to describe the SO2 spatial distribution near emission point sources. The plume model assumes that the SO2 concentrations emitted from a point source decline exponentially with distance and that they are affected by turbulent diffusion that can be described by a two-dimensional (2D) exponentially modified Gaussian function. The total SO2 mass is derived from the fit and the annual emission rate is calculated as the ratio between the total mass and the prescribed SO2 lifetime.

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

    GES_DISC Short Name: MSAQSO2L4 Version ID: 2 Unique ID: C2503251631-GES_DISC

  • Multi-Satellite Volcanic Sulfur Dioxide L4 Long-Term Global Database V4 (MSVOLSO2L4) at GES DISC

    https://cmr.earthdata.nasa.gov/search/concepts/C2027429276-GES_DISC.xml
    Description:

    Version 4 is the current version of the data set. Older versions are no longer available and have been superseded by Version 4. These data are a part of MEaSUREs 2012 projects. The particular project, "Multi-Decadal Sulfur Dioxide Climatology from Satellite Instruments", is expected to produce SO2 Earth Science Data Record by means of combining measurements from backscatter Ultraviolet (BUV), thermal infrared (IR) and microwave (MLS) instruments on multiple satellites. The data represent best estimates of the volcanic and anthropogenic contribution to global atmospheric SO2 concentrations. Since SO2 is the major precursor of sulfate aerosol, which has climate and air quality impact, SO2 measurements will contribute to better understanding of the sulfate aerosol distributions and its atmospheric impact." The released data file is a long-term database of volcanic SO2 emission derived from ultraviolet satellite measurements from October 31, 1978, to present. Data are in a table format in simple ASCII format: Column Descriptions: Column 1 = Name of volcano. Column 2 = Latitude of volcano. Column 3 = Longitude of volcano. Column 4 = Altitude of volcano (km). Column 5 = Eruption year. Column 6 = Eruption month of year. Column 7 = Eruption day of month. Column 8 = Eruption style: exp = explosive, eff = effusive. Column 9 = Eruption volcanic explosivity index (nd = no data or undetermined). Column 10 = Observed plume altitude (km) where known. Column 11 = Estimated plume altitude (km) above vent: 10 km for explosive, 5 km for effusive. Column 12 = Measured SO2 mass in kilotons (= 1000 metric tons).

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

    GES_DISC Short Name: MSVOLSO2L4 Version ID: 4 Unique ID: C2027429276-GES_DISC

  • Sentinel-5P Level-3 CH4 Daily Product - V1

    https://cmr.earthdata.nasa.gov/search/concepts/C2655128911-FEDEO.xml
    Description:

    Contains binned Level-2 TROPOMI CH4 retrievals. The L3 binning algorithm weighs individual pixels with the overlap area of the pixel and the Level-3 grid cell. The weighing and count vectors are used to apply this weighted average consistently, see http://stcorp.github.io/harp/doc/html/libharp_product.html?

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -89 -180 89 180

    FEDEO Short Name: urn:eop:VITO:TERRASCOPE_S5P_L3_CH4_TD_V1 Version ID: V1 Unique ID: C2655128911-FEDEO

  • Sentinel-5P Level-3 CH4 Daily Product - V2

    https://cmr.earthdata.nasa.gov/search/concepts/C2734301859-FEDEO.xml
    Description:

    Contains binned Level-2 TROPOMI CH4 retrievals. The L3 binning algorithm weighs individual pixels with the overlap area of the pixel and the Level-3 grid cell. The weighing and count vectors are used to apply this weighted average consistently, see http://stcorp.github.io/harp/doc/html/libharp_product.html?

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -89 -180 89 180

    FEDEO Short Name: urn:eop:VITO:TERRASCOPE_S5P_L3_CH4_TD_V2 Version ID: V2 Unique ID: C2734301859-FEDEO