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  • 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 (GDS version 2)

    https://cmr.earthdata.nasa.gov/search/concepts/C2213637925-GHRSSTCWIC.xml
    Description:

    The ACSPO G16/ABI L3C (Level 3 Collated) product is a gridded version of the ACSPO G16/ABI L2P product. 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). 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

    GHRSSTCWIC Short Name: 10.25921/rtf0-q898 Version ID: 2.70 Unique ID: C2213637925-GHRSSTCWIC

    This collection does not contain any granules

  • GOES CPEX-CV

    https://cmr.earthdata.nasa.gov/search/concepts/C2738393375-GHRC_DAAC.xml
    Description:

    The GOES CPEX-CV dataset consists of single reflective band radiance products from the Advanced Baseline Imager (ABI) onboard the GOES-16 geostationary satellite. These data were gathered during the Convective Processes Experiment – Cabo Verde (CPEX-CV) field campaign. The NASA CPEX-CV field campaign will be based out of Sal Island, Cabo Verde during August-September 2022. The campaign is a continuation of CPEX – Aerosols and Winds (CPEX-AW) and will be conducted aboard the NASA DC-8 aircraft equipped with remote sensors and dropsonde-launch capability that will allow for the measurement of tropospheric aerosols, winds, temperature, water vapor, and precipitation. The overarching CPEX-CV goal was to investigate atmospheric dynamics, marine boundary layer properties, convection, the dust-laden Saharan Air Layer, and their interactions across various spatial scales to improve understanding and predictability of process-level lifecycles in the data-sparse tropical East Atlantic region. These data files are available from September 6-20, 2022 in netCDF-4 format, with associated browse imagery in MPEG-4 format.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 3.2196231 -84.0932388 67.0445328 5.6536155

    GHRC_DAAC Short Name: goescpexcv Version ID: 1 Unique ID: C2738393375-GHRC_DAAC

  • GOES IMPACTS

    https://cmr.earthdata.nasa.gov/search/concepts/C1995568158-GHRC_DAAC.xml
    Description:

    The GOES IMPACTS dataset consists of single reflective band radiance products from the Advanced Baseline Imager (ABI) onboard the GOES-16 geostationary satellite. These data were collected in support of the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The GOES IMPACTS dataset files are available in netCDF-4 format from January 1 through February 29, 2020. This dataset contains data from the GOES-16 CONUS and Mesoscale sectors, although IMPACTS uses a subset of the GOES-16 CONUS domain. The complete collection of GOES data is available from the NOAA Comprehensive Large Array-Data Stewardship System (CLASS). It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 8.2410402 -117.1143494 53.149292 -50.1258583

    GHRC_DAAC Short Name: goesimpacts Version ID: 1 Unique ID: C1995568158-GHRC_DAAC

  • GOES-16 Cloud & Moisture Imagery

    https://cmr.earthdata.nasa.gov/search/concepts/C3108204852-INPE.xml
    Description:

    The GOES-16 Advanced Baseline Imager (ABI) L2 Cloud and Moisture Imagery provides 16 spectral bands with high temporal resolution over the American continent. The significance of the GOES-16 satellite for Brazil and South America lies in its location at longitude -75°, allowing it to offer comprehensive coverage of the continent and the oceanic regions of the Pacific and Atlantic. The ABI captures 2 visible, 4 near-infrared, and 10 infrared channels at resolutions ranging from 500m to 2km. This collection encompasses images acquired by the GOES-16 satellite (GOES-East) in full-disk mode, depicting nearly full coverage of the Western Hemisphere in a circular image. Important: note that other modes, such as CONUS and MESOSCALE, are not included in this collection. Cloud and Moisture Imagery product (CMIP) files are generated for each of the 16 ABI reflective and emissive bands. The collection captures CMIP product files into individual STAC Items for each observation from the GOES-16 satellite. It includes the original and full-resolution CMIP NetCDF files generated by INPE's GOES-R receive station. There is also a version for band 02, which originally has a resolution of 500m, degraded to 1km. For more information, refer to the Beginner’s Guide to GOES-R Series Data (https://www.goesr.gov/downloads/resources/documents/Beginners_Guide_to_GOES-R_Series_Data.pdf), GOES-R Series Product Definition and Users Guide: Volume 5 (Level 2A+ Products) (https://www.goes-r.gov/products/docs/PUG-L2+-vol5.pdf) and the ABI Bands Quick Information Guides (https://www.goes-r.gov/mission/ABI-bands-quick-info.html).

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -81.3282 -156.2995 81.3282 6.2995

    INPE Short Name: GOES16-L2-CMI-1 Version ID: NA Unique ID: C3108204852-INPE

    This collection does not contain any granules

  • GOES-R Geostationary Lightning Mapper (GLM) Gridded Data Products

    https://cmr.earthdata.nasa.gov/search/concepts/C2278812167-GHRC_DAAC.xml
    Description:

    The GOES-R Geostationary Lightning Mapper (GLM) Gridded Data Products consist of full disk extent gridded lightning flash data collected by the Geostationary Lightning Mapper (GLM) onboard the Geostationary Operational Environmental Satellite 16 and 17 (GOES-16 and GOES-17). These satellites are a part of the GOES-R series program: a four satellite series within the National Aeronautics and Space Administration (NASA) and National Oceanic and Atmospheric Association (NOAA) GOES program. GLM is the first operational geostationary optical lightning detector that provides total lightning data (in-cloud, cloud-to-cloud, and cloud-to-ground flashes). While it detects each of these types of lightning, the GLM is unable to distinguish between each type. The GLM GOES L3 dataset files contain gridded lightning flash data over the Western Hemisphere in netCDF-4 format from December 31, 2017 to present as this is an ongoing dataset.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -57 162.9 57 -76.2

    GHRC_DAAC Short Name: glmgoesL3 Version ID: 1 Unique ID: C2278812167-GHRC_DAAC

  • INFRARED GLOBAL GEOSTATIONARY COMPOSITE V1

    https://cmr.earthdata.nasa.gov/search/concepts/C1996543397-GHRC_DAAC.xml
    Description:

    The Infrared Global Geostationary Composite dataset contains global composite images from the infrared channels of multiple weather satellites in geosynchronous orbit. These satellites include the Global Mobility Service (GMS) from Japan, the Geostationary Operational Environmental Satellite (GOES) from the United States, NOAA satellites, and the Meteorological Satellite (METEOSAT) from Europe spanning nearly the entire globe. The spatial resolution is 14 km before December 18, 2017, and 4 km after that with the data remapped into a Mercator projection. The data have not necessarily been cross-calibrated between sensors. The data are available in AREA McIDAS format from June 4, 1995, to January 24, 2024, and netCDF-4 format from January 25, 2024, to present.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -61 -180 66 180

    GHRC_DAAC Short Name: globalir Version ID: 1 Unique ID: C1996543397-GHRC_DAAC

  • Naval Research Laboratory Monterey Satellite Meteorology Products

    https://cmr.earthdata.nasa.gov/search/concepts/C1214597989-SCIOPS.xml
    Description:

    http://www.nrlmry.navy.mil/sat_products.html The Naval Research Laboratory in Monterey, California offers current satellite imagery from the GOES 10, GOES 12, METEOSAT, and GMS satellites. Most of the images cover the Pacific Ocean region and the western portions of North and South America. Below is a list of all satellite products currently available to the public from NRL Monterey. - West Coast EPAC - US CONUS - Global Imagery - Tropical Images Movies - Tropical Cyclones - Low Cloud Product - Cloud Classification - SSMI Composite2 - Experimental Rainrates - Images with NOGAPS Overlays - Long Period Satellite Movies - Cloud and Water Vapor Winds - Scatterometer Winds - GOES Color Composite Loops and Images - Cloud Tops

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

    SCIOPS Short Name: NRL_METEOROLOGY_MONTEREY Version ID: Not provided Unique ID: C1214597989-SCIOPS

    This collection does not contain any granules

  • NOAA Coral Reef Watch (CRW) Daily Global 5-km (0.05 degree) Satellite Coral Bleaching Heat Stress Monitoring Product Suite

    https://cmr.earthdata.nasa.gov/search/concepts/C2089386080-NOAA_NCEI.xml
    Description:

    The NOAA Coral Reef Watch (CRW) daily global 5-km (0.05 degree) satellite coral bleaching heat stress monitoring product suite (currently Version 3.1, released August 1, 2018) is a next-generation version of CRW's twice-weekly global 50-km (0.5 degree) satellite monitoring product suite. The 5-km suite currently includes sea surface temperature (SST, also known as "CoralTemp"), SST Anomaly, Coral Bleaching HotSpot (HS), Degree Heating Week (DHW), and Bleaching Alert Area (BAA) products, along with a 7-day maximum BAA and a 7-day SST Trend product. It also includes Year-to-date, Monthly, as well as Annual composite (maximum, minimum, and mean) products based on the daily products. This 5-km product suite provides service at or near reef-scales, allowing direct monitoring of the majority of coral reefs globally and significantly reducing data gaps (caused by cloud cover) that were present in the heritage 50-km products. The 5-km products now comprise the core of CRW's next-generation Decision Support System (DSS) for coral reef management. File formats provided are: netCDF and PNG.

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

    NOAA_NCEI Short Name: 10.25921/6jgr-pt28 Version ID: Not Applicable Unique ID: C2089386080-NOAA_NCEI

    This collection does not contain any granules

  • SatCORPS CERES GEO Edition 4 GOES-16 Northern Hemisphere Version 1.2

    https://cmr.earthdata.nasa.gov/search/concepts/C1584977034-LARC_ASDC.xml
    Description:

    CER_GEO_Ed4_GOE16_NH_V01.2 is the Satellite Cloud and Radiation Property retrieval System (SatCORPS) Clouds and the Earth's Radiant Energy System (CERES) Geostationary Satellite (GEO) Edition 4 Geostationary Operational Environmental Satellite 16 (GOES-16) over the Northern Hemisphere (NH) Version 1.2 data product. Data was collected using the GOES-16 Imager on the GOES-16 Platform. Note: Version 1.2 is identical to version 1.0. No changes have been made to the retrieval algorithm. This data set comprises cloud micro-physical and radiation properties derived hourly from GOES-16 geostationary satellite imager data using the Langley Research Center (LaRC) SATCORPS algorithms supporting the CERES project. Each active geostationary satellite's cloud microphysical and radiation properties are merged to create hourly global cloud properties that estimate fluxes between CERES instrument measurements to account for the changing diurnal cycle. The data set is arranged as files for each hour and in netCDF-4 format. The observations are at 4 km resolution (at nadir) and are sub-sampled to 8 km. CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.

    Links: Temporal Extent: Spatial Extent:
    Polygon: 0 -120 0 -30 60 -30 60 -120 0 -120

    LARC_ASDC Short Name: CER_GEO_Ed4_GOE16_NH Version ID: V01.2 Unique ID: C1584977034-LARC_ASDC