goes_24h_composite eng UTF8 dataset service John Kerfoot Rutgers University DMCS 848-932-3344 71 Dudley Road New Brunswick NJ 08901 USA kerfoot@marine.rutgers.edu pointOfContact 2026-04-27 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) 4 column 667 0.018 row 492 0.01810000000000001 vertical 1 temporal 5832 21744.46921625793 area GOES 24-Hour Spike Filter and UD Declouding Composite 2026-04-27 creation ruwrf-archive.marine.rutgers.edu goes_24h_composite Laura Nazzaro Rutgers University, University of Delaware nazzaro@marine.rutgers.edu https://rucool.marine.rutgers.edu/; information web browser Background Information Background information from the source information originator Scott Glenn, Travis Miles, Michael Crowley, Matthew Oliver, Matthew Shatley, Laura Nazzaro, Lori Garzio contributor This daily product is a combination of Geostationary Operational Environmental Satellite (GOES)-16 composites designed specifically for ingestion in the the RU-Weather Research and Forecasting Model (WRF) wind model. The specific products and methodology used throughout the time-series will vary; check individual file attributes and/or included_images variable for details on specific composites (products included, time period included, etc). A 24-hour GOES composite using traditional declouding will always be included if available. When relevant, particularly during summer (upwelling) and fall (storm mixing), composites based on spike-filter declouding following Murphy et al. (2021), or gap-filled DinEOF reconstructions based on the spike-filtered data, will also be included in this product. The spike filter method of declouding relies on detection of fast-moving clouds and is more likely to preserve anomalously cold water (e.g. due to upwelling or storm mixing events) than traditional declouding methods. This product supported by the Board of Public Utilities. Laura Nazzaro Rutgers University, University of Delaware nazzaro@marine.rutgers.edu https://rucool.marine.rutgers.edu/; information web browser Background Information Background information from the source information pointOfContact cold cold-water cold-water-preserving composite control data delaware earth environmental flag forecasting geostationary goes goes-16 model ocean oceans operational preserving quality research rutgers satellite science sea seawater sst status surface temperature university water weather wrf theme Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature theme GCMD Science Keywords Rutgers University, University of Delaware project time depth latitude longitude sea_surface_temperature sea_surface_temperature_status_flag theme CF Standard Name Table v52 The data may be used and redistributed for free but is not intended for legal use, since it may contain inaccuracies. Neither the data Contributor, ERD, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information. Rutgers University, University of Delaware largerWorkCitation project Unidata Common Data Model Grid largerWorkCitation project eng geoscientificInformation 1 -80.49615 -68.50815 34.30193 43.18903 seconds 2022-01-01T00:00:00Z 2026-01-07T12:00:00Z -0.0 -0.0 GOES 24-Hour Spike Filter and UD Declouding Composite 2026-04-27 creation Laura Nazzaro Rutgers University, University of Delaware nazzaro@marine.rutgers.edu https://rucool.marine.rutgers.edu/; information web browser Background Information Background information from the source information originator Scott Glenn, Travis Miles, Michael Crowley, Matthew Oliver, Matthew Shatley, Laura Nazzaro, Lori Garzio contributor This daily product is a combination of Geostationary Operational Environmental Satellite (GOES)-16 composites designed specifically for ingestion in the the RU-Weather Research and Forecasting Model (WRF) wind model. The specific products and methodology used throughout the time-series will vary; check individual file attributes and/or included_images variable for details on specific composites (products included, time period included, etc). A 24-hour GOES composite using traditional declouding will always be included if available. When relevant, particularly during summer (upwelling) and fall (storm mixing), composites based on spike-filter declouding following Murphy et al. (2021), or gap-filled DinEOF reconstructions based on the spike-filtered data, will also be included in this product. The spike filter method of declouding relies on detection of fast-moving clouds and is more likely to preserve anomalously cold water (e.g. due to upwelling or storm mixing events) than traditional declouding methods. ERDDAP griddap 1 -80.49615 -68.50815 34.30193 43.18903 seconds 2022-01-01T00:00:00Z 2026-01-07T12:00:00Z -0.0 -0.0 tight ERDDAPgriddapDatasetQueryAndAccess http://ruwrf-archive.marine.rutgers.edu/erddap/griddap/goes_24h_composite ERDDAP:griddap ERDDAP-griddap ERDDAP's griddap service (a flavor of OPeNDAP) for gridded data. Add different extensions (e.g., .html, .graph, .das, .dds) to the base URL for different purposes. download GOES 24-Hour Spike Filter and UD Declouding Composite 2026-04-27 creation Laura Nazzaro Rutgers University, University of Delaware nazzaro@marine.rutgers.edu https://rucool.marine.rutgers.edu/; information web browser Background Information Background information from the source information originator Scott Glenn, Travis Miles, Michael Crowley, Matthew Oliver, Matthew Shatley, Laura Nazzaro, Lori Garzio contributor This daily product is a combination of Geostationary Operational Environmental Satellite (GOES)-16 composites designed specifically for ingestion in the the RU-Weather Research and Forecasting Model (WRF) wind model. The specific products and methodology used throughout the time-series will vary; check individual file attributes and/or included_images variable for details on specific composites (products included, time period included, etc). A 24-hour GOES composite using traditional declouding will always be included if available. When relevant, particularly during summer (upwelling) and fall (storm mixing), composites based on spike-filter declouding following Murphy et al. (2021), or gap-filled DinEOF reconstructions based on the spike-filtered data, will also be included in this product. The spike filter method of declouding relies on detection of fast-moving clouds and is more likely to preserve anomalously cold water (e.g. due to upwelling or storm mixing events) than traditional declouding methods. OPeNDAP 1 -80.49615 -68.50815 34.30193 43.18903 seconds 2022-01-01T00:00:00Z 2026-01-07T12:00:00Z -0.0 -0.0 tight OPeNDAPDatasetQueryAndAccess http://ruwrf-archive.marine.rutgers.edu/erddap/griddap/goes_24h_composite OPeNDAP:OPeNDAP OPeNDAP An OPeNDAP service for gridded data. Add different extensions (e.g., .html, .das, .dds) to the base URL for different purposes. download GOES 24-Hour Spike Filter and UD Declouding Composite 2026-04-27 creation Laura Nazzaro Rutgers University, University of Delaware nazzaro@marine.rutgers.edu https://rucool.marine.rutgers.edu/; information web browser Background Information Background information from the source information originator Scott Glenn, Travis Miles, Michael Crowley, Matthew Oliver, Matthew Shatley, Laura Nazzaro, Lori Garzio contributor This daily product is a combination of Geostationary Operational Environmental Satellite (GOES)-16 composites designed specifically for ingestion in the the RU-Weather Research and Forecasting Model (WRF) wind model. The specific products and methodology used throughout the time-series will vary; check individual file attributes and/or included_images variable for details on specific composites (products included, time period included, etc). A 24-hour GOES composite using traditional declouding will always be included if available. When relevant, particularly during summer (upwelling) and fall (storm mixing), composites based on spike-filter declouding following Murphy et al. (2021), or gap-filled DinEOF reconstructions based on the spike-filtered data, will also be included in this product. The spike filter method of declouding relies on detection of fast-moving clouds and is more likely to preserve anomalously cold water (e.g. due to upwelling or storm mixing events) than traditional declouding methods. Open Geospatial Consortium Web Map Service (WMS) 1 -80.49615 -68.50815 34.30193 43.18903 seconds 2022-01-01T00:00:00Z 2026-01-07T12:00:00Z -0.0 -0.0 tight GetCapabilities http://ruwrf-archive.marine.rutgers.edu/erddap/wms/goes_24h_composite/request?service=WMS&version=1.3.0&request=GetCapabilities OGC:WMS OGC-WMS Open Geospatial Consortium Web Map Service (WMS) download physicalMeasurement sst float cold-water preserving sea surface temperature sst_qc_flag int sea surface temperature quality control flag John Kerfoot Rutgers University DMCS 848-932-3344 71 Dudley Road New Brunswick NJ 08901 USA kerfoot@marine.rutgers.edu distributor OPeNDAP DAP/2.0 http://ruwrf-archive.marine.rutgers.edu/erddap/griddap/goes_24h_composite.html order Data Subset Form ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types. download http://ruwrf-archive.marine.rutgers.edu/erddap/griddap/goes_24h_composite.graph order Make-A-Graph Form ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data. mapDigital This record was created from dataset metadata by ERDDAP Version 2.30.0