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  • DSCOVR EPIC Level 2 GLINT

    https://cmr.earthdata.nasa.gov/search/concepts/C2091727220-LARC_ASDC.xml
    Description:

    DSCOVR_EPIC_L2_GLINT_01 is Version 1 of the Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC) Level 2 glint data product. This product indicates the presence of glint caused by the single scattering specular reflection of sunlight either from horizontally oriented ice crystals floating in clouds, or from smooth, highly reflective water surfaces. Such glints can prevent accurate retrievals of atmospheric and surface properties using existing algorithms but can also be used to learn more about the glint-causing objects. The glint detection algorithm relies on the fact that EPIC takes images at different wavelengths at slightly different times. For example, red images are taken about 4 minutes after blue images. During these few minutes, the Earth’s rotation changes the orientation of the scene by one degree, which can affect whether EPIC observations at a specific wavelength will capture or miss the narrowly focused specular reflection from ice clouds or smooth water surfaces. As a result, sharp brightness differences between EPIC images taken a few minutes apart can identify glint signals. The glint product includes three parameters for each pixel in the part of EPIC images where the alignment of solar and viewing directions is suitable for sun glint observations: (1) The surface type flag shows whether the area of a pixel is covered mainly by water, desert, or non-desert land; (2) The glint angle—the angle between the actual EPIC view direction and the direction of looking straight into the specular reflection from a perfectly horizontal surface—tells how favorable the EPIC view direction is for glint detection and can help in estimating the distribution of ice crystal orientation; (3) The glint mask indicates whether or not glint has been detected.

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    LARC_ASDC Short Name: DSCOVR_EPIC_L2_GLINT Version ID: 01 Unique ID: C2091727220-LARC_ASDC

  • DSCOVR EPIC Level 2 Sulfur dioxide (SO2) Product with EPIC Version 3 Input Version 2

    https://cmr.earthdata.nasa.gov/search/concepts/C1725575876-LARC_ASDC.xml
    Description:

    DSCOVR_EPIC_L2_SO2_v03 is the Deep Space Climate Observatory (DSCOVR) Enhanced Polychromatic Imaging Camera (EPIC) Level 2 Sulfur Dioxide (SO2) product with EPIC version 03 inputs. It has key UV channels suitable for retrievals of volcanic sulfur dioxide (SO2) and ash, enabling timely tracking and forecasting of volcanic plumes and enhancing our ability to mitigate aviation hazard. EPIC measurements will also be co-located with all satellite UV and infrared sensors, offering ample opportunities for data inter-comparisons and for demonstrating advanced retrievals of volcanic ash mass through a synergistic approach. We propose to implement our mature algorithms previously developed for Total Ozone Mapping Spectrometer (TOMS) and Ozone Monitoring Instrument (OMI) to enable SO2 and Ash Index (AI) products from EPIC UV observations to demonstrate improved estimates of volcanic SO2 and ash mass, height and sulfate aerosol loading.

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    LARC_ASDC Short Name: DSCOVR_EPIC_L2_SO2 Version ID: 02 Unique ID: C1725575876-LARC_ASDC

  • DSCOVR EPIC Level 2 Total Ozone, Version 3

    https://cmr.earthdata.nasa.gov/search/concepts/C1990753071-LARC_ASDC.xml
    Description:

    DSCOVR_EPIC_L2_TO3_v03 is Level2 Total Ozone derived from the Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC) using Level 1b version 3 inputs and version 3 ozone retrieval algorithm. The measurements from four EPIC UV channels are used to derive the global distributions of total ozone over the entire sunlit portion of the Earth. A new soft calibration technique developed based on scene matching with OMPS gives calibrated EPIC radiances. The calibrated EPIC radiances are used to derive science-quality total ozone products from EPIC that are consistent with those from other UV instruments. The retrieval algorithm uses wavelength triplets and assumes that the scene reflectivity changes linearly with wavelength. Version 3 algorithm includes several key modifications aimed to improve total ozone retrievals: a) switch to Version 3 Level 1b product with improved geolocation registration, flat field and dark counts corrections; b) replace OMI based cloud height climatology with the simultaneous EPIC A-Band cloud height; c) update absolute calibrations using polar orbiting SNPP OMPS; d) add corrections for ozone profile shape and temperature; e) update algorithm and error flags to filter data; f) add column weighting functions for each observation to facilitate error analysis. EPIC ozone retrievals accurately capture short term synoptic changes in total column ozone. With EPIC measurements from DSCOVR's vantage point synoptic ozone maps can be derived every 1-2 hours. Scene Reflectivity (clouds, aerosols, and surface) is derived as part of the ozone retrieval. The scene reflectivity in conjunction with ozone has been used to derive the amount of UV solar radiation reaching the ground, and surface UV Erythemal is also reported in these files.

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    LARC_ASDC Short Name: DSCOVR_EPIC_L2_TO3 Version ID: 03 Unique ID: C1990753071-LARC_ASDC

  • DSCOVR EPIC Level 2 UV Aerosol Version 3

    https://cmr.earthdata.nasa.gov/search/concepts/C1962643459-LARC_ASDC.xml
    Description:

    DSCOVR_EPIC_L2_AER_03 is the Deep Space Climate Observatory (DSCOVR) Enhanced Polychromatic Imaging Camera (EPIC) Level 2 UV Aerosol Version 3 data product. Observations for this data product are at 340 and 388 nm and are used to derive near UV aerosol properties. The EPIC aerosol retrieval algorithm (EPICAERUV) uses a set of aerosol models to account for the presence of carbonaceous aerosols from biomass burning and wild fires (BIO), desert dust (DST), and sulfate-based (SLF) aerosols. These aerosol models are identical to those assumed in the OMI algorithm (Torres et al., 2007; Jethva and Torres, 2011). Aerosol data products generated by the EPICAERUV algorithm are aerosol extinction optical depth (AOD) and single scattering albedo (SSA) at 340, 388 and 500 nm for clear sky conditions. AOD of absorbing aerosols above clouds is also reported (Jethva et al., 2018). In addition, the UV Aerosol Index (UVAI) is calculated from 340 and 388 nm radiances for all sky conditions. AOD is a dimensionless measure of the extinction of light y aerosols due to the combined effect of scattering and absorption. SSA represents the fraction of extinction solely due to aerosol scattering effects. The AI is simply a residual parameter that quantifies the difference in spectral dependence between measured and calculated near UV radiances assuming a purely molecular atmosphere. Because most of the observed positive residuals are associated with the presence of absorbing aerosols, this parameter is commonly known as the UV Absorbing Aerosol Index. EPIC-derived aerosol parameters are reported at a 10 km (nadir) resolution.

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    LARC_ASDC Short Name: DSCOVR_EPIC_L2_AER Version ID: 03 Unique ID: C1962643459-LARC_ASDC

  • DSCOVR EPIC Level 2 Vegetation Earth System Data Record (VESDR), Version 2

    https://cmr.earthdata.nasa.gov/search/concepts/C1990753227-LARC_ASDC.xml
    Description:

    DSCOVR_EPIC_L2_VESDR_02 is the Deep Space Climate ObserVatoRy (DSCOVR) EPIC Level 2 Vegetation Earth System Data Record (VESDR), Version 2 data product. It provides Leaf Area Index (LAI) and diurnal courses of Normalized Difference Vegetation Index (NDVI), Sunlit Leaf Area Index (SLAI), Fraction of incident Photosynthetically Active Radiation (400-700 nm) absorbed by the vegetation (FPAR), Directional Area Scattering Function (DASF), Earth Reflector Type Index (ERTI) and Canopy Scattering Coefficient at 443 nm, 551 nm, 680 nm and 779 nm. The VESDR files also include Solar Zenith Angle (SZA), Solar Azimuthal Angle (SAA), View Zenith (VZA) and Azimuthal (VAA) angles at the same temporal and spatial resolutions. The parameters are projected on 8 regional 10 km SIN grids and available at 65 to 110 min temporal frequency. The version 2 VESDR product is being generated from the upstream DSCOVR EPIC L2 MAIAC (version 2) surface reflectance product. FPAR, LAI, SLAI are useful for monitoring variability and change in global vegetation due to climate and anthropogenic influences, modeling climate, carbon and water cycles, and improving forecasting of near surface weather. DASF provides information critical to accounting for structural contributions to measurements of leaf biochemistry from remote sensing. The canopy scattering coefficient is the fraction of intercepted radiation that has been reflected from, or diffusely transmitted through, the vegetation. This parameter is strongly correlated with leaf albedo which in turn depends on leaf biochemical constituents. We also provide two ancillary science data products, namely, “Version 2 10 km Land Cover Type” and “Version 2 Distribution of Land Cover Types within 10 km EPIC pixel.” The products were derived from 500m MODIS land cover type 3 product (MCDLCHKM), which was generated from 2008, 2009 and 2010 land cover products (MCD12Q1, v051). A detailed description of the VESDR and ancillary science data products can be found in “VESDR Science Data Product Guide, version 2”. Section “USER'S GUIDE” provides links to this document as well as to the two ancillary science data products.

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    LARC_ASDC Short Name: DSCOVR_EPIC_L2_VESDR Version ID: 02 Unique ID: C1990753227-LARC_ASDC

  • DSCOVR EPIC Level 3 PAR

    https://cmr.earthdata.nasa.gov/search/concepts/C2081907121-LARC_ASDC.xml
    Description:

    DSCOVR_EPIC_L3_PAR_01 is the Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC) Level 3 photosynthetically available radiation (PAR) version 1 data product. The EPIC observations of the Earth’s surface lit by the Sun made 13 times during the day in spectral bands centered on 443, 551, and 680 nm are used to estimate daily mean PAR at the ice-free ocean surface. PAR is defined as the quantum energy flux from the Sun in the 400-700 nm range. Daily mean PAR is the 24-hour averaged planar flux in that spectral range reaching the surface. It is expressed in E.m-2.d-1 (Einstein per meter squared per day). The factor required to convert E.m-2 d-1 units to mW.cm-2.µm-1 units is equal to 0.838 to an inaccuracy of a few percent regardless of meteorological conditions. The EPIC daily mean PAR product is generated on Plate Carrée (equal-angle) grid with 18.4 km resolution at the equator and on 18.4 km equal-area grid, i.e., the product is compatible with Ocean Biology Processing Group ocean color products. The EPIC PAR algorithm uses a budget approach, in which the solar irradiance reaching the surface is obtained by subtracting from the irradiance arriving at the top of the atmosphere (known), the irradiance reflected to space (estimated from the EPIC Level 1b radiance data), taking into account atmospheric transmission (modeled). Clear and cloudy regions within a pixel do not need to be distinguished, which dismisses the need for often-arbitrary assumptions about cloudiness distribution and is therefore adapted to the relatively large EPIC pixels. A daily mean PAR is estimated on the source grid for each EPIC instantaneous daytime observation, assuming no cloudiness change during the day, and the individual estimates are remapped and weight-averaged using the cosine of the Sun zenith angle. In the computations, wind speed, surface pressure, and water vapor amount are extracted from NECP Reanalysis 2 data, aerosol optical thickness and angstrom coefficient from MERRA-2 data, and ozone amount from EPIC Level 2 data. Areas contaminated by sun glint are excluded using a threshold on sun glint reflectance calculated using wind data. Ice masking is based on NSIDC near real time ice fraction data. Additional information about the EPIC ocean surface PAR products can be found at the NASA DSCOVR: EPIC website: https://epic.gsfc.nasa.gov/, under “Science -> Products -> Ocean Surface” (https://epic.gsfc.nasa.gov/science/products/ocean).

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    LARC_ASDC Short Name: DSCOVR_EPIC_L3_PAR Version ID: 01 Unique ID: C2081907121-LARC_ASDC

  • DSCOVR EPIC Level 3 PAR Image

    https://cmr.earthdata.nasa.gov/search/concepts/C2150640573-LARC_ASDC.xml
    Description:

    DSCOVR_EPIC_L3_PAR_01 is the Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC) Level 3 photosynthetically available radiation (PAR) version 1 data product. The EPIC observations of the Earth’s surface lit by the Sun made 13 times during the day in spectral bands centered on 443, 551, and 680 nm are used to estimate daily mean PAR at the ice-free ocean surface. PAR is defined as the quantum energy flux from the Sun in the 400-700 nm range. Daily mean PAR is the 24-hour averaged planar flux in that spectral range reaching the surface. It is expressed in E.m-2.d-1 (Einstein per meter squared per day). The factor required to convert E.m-2 d-1 units to mW.cm-2.µm-1 units is equal to 0.838 to an inaccuracy of a few percent regardless of meteorological conditions. The EPIC daily mean PAR product is generated on Plate Carrée (equal-angle) grid with 18.4 km resolution at the equator and on 18.4 km equal-area grid, i.e., the product is compatible with Ocean Biology Processing Group ocean color products. The EPIC PAR algorithm uses a budget approach, in which the solar irradiance reaching the surface is obtained by subtracting from the irradiance arriving at the top of the atmosphere (known), the irradiance reflected to space (estimated from the EPIC Level 1b radiance data), taking into account atmospheric transmission (modeled). Clear and cloudy regions within a pixel do not need to be distinguished, which dismisses the need for often-arbitrary assumptions about cloudiness distribution and is therefore adapted to the relatively large EPIC pixels. A daily mean PAR is estimated on the source grid for each EPIC instantaneous daytime observation, assuming no cloudiness change during the day, and the individual estimates are remapped and weight-averaged using the cosine of the Sun zenith angle. In the computations, wind speed, surface pressure, and water vapor amount are extracted from NECP Reanalysis 2 data, aerosol optical thickness and angstrom coefficient from MERRA-2 data, and ozone amount from EPIC Level 2 data. Areas contaminated by sun glint are excluded using a threshold on sun glint reflectance calculated using wind data. Ice masking is based on NSIDC near real time ice fraction data. Additional information about the EPIC ocean surface PAR products can be found at the NASA DSCOVR: EPIC website: https://epic.gsfc.nasa.gov/, under “Science -> Products -> Ocean Surface” (https://epic.gsfc.nasa.gov/science/products/ocean).

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    LARC_ASDC Short Name: DSCOVR_EPIC_L3_PAR-IMAGE Version ID: 01 Unique ID: C2150640573-LARC_ASDC

  • DSCOVR EPIC Level 4 Tropospheric Ozone

    https://cmr.earthdata.nasa.gov/search/concepts/C2150427123-LARC_ASDC.xml
    Description:

    EPIC Tropospheric Ozone Data Product The Earth Polychromatic Imaging Camera (EPIC) on the DSCOVR spacecraft provides measurements of Earth-reflected radiances from the entire sunlit portion of the Earth. The measurements from four EPIC UV channels are used to reconstruct global distributions of total ozone. The tropospheric ozone columns (TCO) are then derived by subtracting independently measured stratospheric ozone columns from the EPIC total ozone. TCO data product files report gridded synoptic maps of TCO measured over the sunlit portion of the Earth disk on a 1-2 hour basis. Sampling times for these hourly TCO data files are the same as for the EPIC L2 total ozone product. This Version 1.0 of the TCO product is based on Version 3 of the EPIC L1 product and the Version 3 Total Ozone Column Product. The stratospheric columns were derived from the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) ozone fields (Gelaro et al., 2017). In contrast to the EPIC total ozone maps that are reported at high spatial resolution of 18 × 18 km2 near the center of the image, the TCO maps are spatially averaged over several EPIC pixels and reported on a regular spatial grid (1 latitude x 1 longitude). Kramarova et al. (2021) provide a detailed description of the EPIC TCO product and its evaluation against independent sonde and satellite measurements. Table 1 lists all of the variables included in the TCO product files. Ozone arrays in the product files are integrated vertical columns in Dobson Units (DU; 1 DU = 2.69×1020 molecules m-2). Filename Convention The TCO product files are formatted HDF EOS5 and represent a Level-4 (L4) product. The filenames have the following naming convention: ”DSCOVR_EPIC_L4_TrO3_01_YYYYMMDDHHMMSS_03.h5” where “TrO3” means tropospheric column ozone, “01” means that this is version 01 for this product, “YYYYMMDDHHMMSS” is the UTC measurement time with “YYYY” for year (2015-present), “MM” for month (01-12), “DD” for day of the month (1-31), and “HHMMSS” denotes hours-minutes-seconds, and “03” signifies that v3 L1b measurements were used to derive the EPIC total ozone and consequently TCO. Column Weighting Function Adjustment There are two TCO gridded arrays in each hourly data file for the user to choose from; one is denoted TroposphericColumnOzone and the other is TroposphericColumnOzoneAdjusted. The latter TCO array includes an adjustment to correct for reduced sensitivity of the EPIC UV measurements in detecting ozone in the low troposphere/boundary layer. The adjustment depends on latitude and season and was derived using simulated tropospheric ozone from the GEOS-Replay model (Strode et al. 2020) constrained by the MERRA-2 meteorology through so-called replay method. Our analysis (Kramarova et al., 2021) indicated that the adjusted TCO array is more accurate and precise. Flagging Bad Data Kramarova et al. (2021) notes that the preferred EPIC total ozone measurements used for scientific study are those where the L2 “AlgorithmFlag” parameter is equal to 1, 101, or 111. In this TCO product we have included only L2 total ozone pixels with these algorithm flag values. A gridded version of the AlgorithmFlag parameter is provided in the TCO product files, as a comparison reference, but it is not needed by the user for applying data quality filtering. Another parameter in the EPIC L2 total ozone files for filtering questionable data is the “ErrorFlag”. The TCO product files include a gridded version of this ErrorFlag parameter that the user should apply. Only TCO gridded pixels with ErrorFlag value of zero should be used. TCO measurements at high satellite look angles and/or high solar zenith angles should also be filtered out for analysis. The TCO files include a gridded version of the satellite look angle and the solar zenith angle denoted as “SatelliteLookAngle” and “SolarZenithAngle”, respectivelly. For scientific applications, users should filter TCO array data and use only pixels with SatelliteLookAngle and SolarZenithAngle < 70o to avoid retrieval errors near the Earth view edge. In summary, filtering the TCO arrays is optional, but for scientific analysis we recommend to apply the following two filters: (1) filter out all gridded pixels where ErrorFlag ≠ 0; (2) filter out all pixels where SatelliteLookAngle or SolarZenithAngle > 70o. Summary of the Derivation of the tropospheric column ozone product We provide a short summary of the derivation of EPIC TCO, stratospheric column ozone, and tropopause pressure. To derive EPIC TCO, an independent measure of the stratospheric column ozone is needed. We use MERRA-2 ozone fields (Gelaro et al,. 2017) to derive stratospheric ozone columns that are subtracted from EPIC total ozone (TOZ) to obtain TCO. The MERRA-2 data assimilation system ingests Aura OMI v8.5 total ozone and MLS v4.2 stratospheric ozone profiles to produce global synoptic maps of profile ozone from the surface to the top of the atmosphere; for our analyses we use MERRA-2 ozone profiles reported every three hours (0, 3, 6, …, 21 UTC) at a resolution of 0.625° longitude × 0.5° latitude. MERRA-2 ozone profiles were integrated vertically from the top of the atmosphere down to tropopause pressure to derive maps of stratospheric column ozone. Tropopause pressure was determined from MERRA-2 re-analyses using standard PV-θ definition (2.5 PVU and 380K). The resulting maps of stratospheric column ozone at 3-hour intervals from MERRA-2 were then space-time collocated with EPIC footprints and subtracted from the EPIC total ozone, thus producing daily global maps of residual TCO sampled at the precise EPIC pixel times. These measurements of tropospheric ozone were further binned to 1o latitude × 1o longitude resolution. References Gelaro, R., W. McCarty, M.J. Suárez, R. Todling, A. Molod, L. Takacs, C.A. Randles, A. Darmenov, M.G. Bosilovich, R. Reichle, K. Wargan, L. Coy, R. Cullather, C. Draper, S. Akella, V. Buchard, A. Conaty, A.M. da Silva, W. Gu, G. Kim, R. Koster, R. Lucchesi, D. Merkova, J.E. Nielsen, G. Partyka, S. Pawson, W. Putman, M. Rienecker, S.D. Schubert, M. Sienkiewicz, and B. Zhao, The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2), J. Climate, 30, 5419–5454, https://doi.org/10.1175/JCLI-D-16-0758.1, 2017. Kramarova N. A., J. R. Ziemke, L.-K. Huang, J. R. Herman, K. Wargan, C. J. Seftor, G. J. Labow, and L. D. Oman, Evaluation of Version 3 total and tropospheric ozone columns from EPIC on DSCOVR for studying regional scale ozone variations, Front. Rem. Sens., in review, 2021. Table 1. List of parameters and data arrays in the EPIC tropospheric ozone hourly product files. The left column lists variable name, the second column lists the variable description and units, and the third column lists the variable data type and dimensions. Product Variable Name Description and units Data Type and Dimensions NadirLatitude Nadir latitude in degrees Real*4 number NadirLongitude Nadir longitude in degrees Real*4 number Latitude Center latitude of grid-point in degrees Real*4 array with 180 elements Longitude Center longitude of grid-point in degrees Real*4 array with 360 elements TroposphericColumnOzone Tropospheric column ozone in Dobson Units Real*4 array with dimensions 360 × 180 TroposphericColumnOzoneAdjusted Tropospheric column ozone with BL adjustment in Dobson Units Real*4 array with dimensions 360 × 180 StratosphericColumnOzone Stratospheric column ozone in Dobson Units Real*4 array with dimensions 360 × 180 TotalColumnOzone Total column ozone in Dobson Units Real*4 array with dimensions 360 × 180 Reflectivity Reflectivity (no units) Real*4 array with dimensions 360 × 180 RadiativeCloudFraction Radiative cloud fraction (no units) Real*4 array with dimensions 360 × 180 TropopausePressure Tropopause pressure in units hPa Real*4 array with dimensions 360 × 180 CWF1 Column weighting function for layer 1 (506.6-1013.3 hPa) Real*4 array with dimensions 360 × 180 ErrorFlag Error flag for TCO data Real*4 array with dimensions 360 × 180 AlgorithmFlag Algorithm flag for TCO data Real*4 array with dimensions 360 × 180 SatelliteLookAngle Satellite Look Angle in degrees Real*4 array with dimensions 360 × 180 SolarZenithAngle Solar Zenith Angle in degrees Real*4 array with dimensions 360 × 180

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    LARC_ASDC Short Name: DSCOVR_EPIC_L4_TrO3 Version ID: 01 Unique ID: C2150427123-LARC_ASDC

  • DSCOVR Faraday Cup Level 0

    https://cmr.earthdata.nasa.gov/search/concepts/C2106523994-NOAA_NCEI.xml
    Description:

    Solar wind observations collected from Faraday Cup on DSCOVR satellite - unprocessed, full resolution

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    NOAA_NCEI Short Name: spase://NOAA/NumericalData/DSCOVR/FC/fc0 Version ID: Not Applicable Unique ID: C2106523994-NOAA_NCEI

  • DSCOVR Magnetometer Level 0

    https://cmr.earthdata.nasa.gov/search/concepts/C2106523992-NOAA_NCEI.xml
    Description:

    Interplanetary magnetic field observations collected from magnetometer on DSCOVR satellite - unprocessed, full resolution

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    NOAA_NCEI Short Name: spase://NOAA/NumericalData/DSCOVR/MAG/mg0 Version ID: Not Applicable Unique ID: C2106523992-NOAA_NCEI