The Space Science and Engineering Center at the University of Wisconsin-Madison generates an infrared (~11.0 microns) Arctic satellite composite imagery. Using a mosaic of all satellite data available allows the benefits of both the timeliness and routine observations of geostationary satellites as well as the high latitude coverage of the polar orbiting satellites. The Arctic composites are made every three hours (synoptic hour) creating a total of eight images per day. More recently, Arctic composites are created every hour for a total of 24 images per day. Most input satellite observations included in the composite were procured within 15 minutes of the top of the synoptic hour. No image is more than +/- 50 minutes from the top of the synoptic hour. Geostationary and Polar orbiting satellites used to generate the composite can include: POES/NOAA, GOES -East and ?West, METOSAT, MTSAT, FY-2, Kalpana-1, and Terra/Aqua.

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• SSEC-ARCTIC-Composite-Infrared-ARC-0713843

SCIOPS Short Name: SSEC-ARCTIC-Composite-Infrared-ARC-0713843 Version ID: Not provided Unique ID: C1214598097-SCIOPS

The Space Science and Engineering Center at the University of Wisconsin-Madison generates a shortwave infrared (~3.8 microns) Arctic satellite composite imagery. Using a mosaic of all satellite data available allows the benefits of both the timeliness and routine observations of geostationary satellites as well as the high latitude coverage of the polar orbiting satellites. The Arctic composites are made every three hours (synoptic hour) creating a total of eight images per day. Most input satellite observations included in the composite were procured within 15 minutes of the top of the synoptic hour. No image is more than +/- 50 minutes from the top of the synoptic hour. Geostationary and Polar orbiting satellites used to generate the composite can include: POES/NOAA, GOES -East and ?West, METOSAT, MTSAT, FY-2, Kalpana-1, and Terra/Aqua.

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• SSEC-ARCTIC-Composite-ShortwaveInfrared-ARC-0713843

SCIOPS Short Name: SSEC-ARCTIC-Composite-ShortwaveInfrared-ARC-0713843 Version ID: Not provided Unique ID: C1214598142-SCIOPS

The Center for Analysis and Prediction of Storms (CAPS; "http://caps.ou.edu") was established at the University of Oklahoma in 1989 as one of the first 11 National Science Foundation Science and Technology Center. Its mission was, and remains the development of techniques for the computer-based prediction of high-impact local weather, such as individual spring and winter storms, with the NEXRAD (WSR-88D) Doppler radar serving as a key data source. Along the path toward fulfilling this mission, CAPS developed the Advanced Regional Prediction System (ARPS; "http://caps.ou.edu/ARPS"). The ARPS is a fully automated numerical prediction system designed for both research and operational application at scales ranging from continents down to cities. It includes a data ingest, quality control, and objective analysis package known as the ARPS Data Analysis System (ADAS; "http://www.caps.ou.edu/"); a single-Doppler radar parameter retrieval and 3DVAR/4DVAR data assimilation system; the prediction model itself; and a web-based data display and decision support system. The value of the ARPS was recognized in 1997, when CAPS received both the Discover Magazine Award for Technology Innovation as well as the Computerworld-Smithsonian Award. [Summary Entracted from the CAPS Home Page]

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• UOK_AA_CAPS_ARCHIVE

SCIOPS Short Name: UOK_AA_CAPS_ARCHIVE Version ID: Not provided Unique ID: C1214607136-SCIOPS

CER_ISCCP-D2like-Mrg_GEO-MODIS-DAY_Edition3A is the Clouds and the Earth's Radiant Energy System (CERES) Moderate Resolution Imaging Spectroradiometer (MODIS) and Geostationary Satellite (GEO) Cloud Retrievals in International Satellite Cloud Climatology Project (ISCCP) – Day 2like Format Daytime Edition3A data product. This product is a merge of data from the following platforms and instruments: Spinning Enhanced Visible and Infrared Imager (SEVIRI) on Meteosat Operational Programme 10 (METEOSAT-10); Japanese Advanced Meteorological Imager (JAMI) on The Multi-functional Transport Satellite 2 (MTSAT-2); SEVIRI on METEOSAT-9; Visible and Infrared Spin Scan Radiometer (GMS Series) on (VISSR-GMS) on Geostationary Meteorological Satellite-5 (GMS-5); SEVIRI on METEOSAT-8; Geostationary Operational Environmental Satellite (GOES) I-M IMAGER on Geostationary Operational Environmental Satellite 9 (GOES-9); GOES-11 IMAGER on GOES-11; GOES N-P IMAGER on GOES-13; GOES-8 IMAGER on GOES-8; GOES I-M IMAGER on GOES-10; SEVIRI on METEOSAT-7; MODIS on Terra; GOES N-P IMAGER on GOES-14; MVIRI on METEOSAT-5; GOES-12 IMAGER on GOES-12; GOES-15 IMAGER on GOES-15; MODIS on Aqua; JAMI on Multi-functional Transport Satellite 1 Replacement (MTSAT-1R). Data collection for this product is complete. The Monthly Gridded Cloud Averages (ISCCP-D2like-Mrg) data products contain monthly and monthly 3-hourly (GMT-based) gridded regional mean cloud properties as a function of 18 cloud types, similar to the ISCCP D2 product, where the cloud properties are stratified by pressure, optical depth, and phase. The merged (Mrg) product combines daytime cloud properties from Terra-MODIS (10:30 AM local equator crossing time LECT), Aqua-MODIS (1:30 PM LECT), and geostationary satellites (GEO) to provide the most diurnally complete daytime ISCCP-D2like product. The GEO cloud properties have been normalized with MODIS for diurnal consistency. The CERES MODIS-derived cloud properties are not the official NASA MODIS cloud retrievals but are based on the CERES cloud working group retrievals that are also available in other CERES products. The CERES MODIS-derived cloud properties provide coverage from pole to pole. The 3-hourly GMT-based GEO cloud properties come from five satellites at 8 km nominal resolution with limited coverage. The GEO daytime cloud retrievals incorporate only a visible and IR channel common to all geostationary satellites for spatial consistency. The geostationary calibration is normalized to Terra-MODIS. Each ISCCP-D2like file covers a single month. 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 protoflight 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 on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.

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LARC_ASDC Short Name: CER_ISCCP-D2like-Mrg_GEO-MODIS-DAY Version ID: Edition3A Unique ID: C7019527-LARC_ASDC

The Geostationary Operational Environmental Satellites (GOES) operated by the United States National Oceanic and Atmospheric Administration (NOAA) support weather forecasting, severe storm tracking, meteorology and oceanography research. Generally there are several GOES satellites in geosynchronous orbit at any one time viewing different earth locations including the GOES-12 launched 23 July 2001. The radiometer aboard the satellite, The GOES I-M Imager, is a five channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the earth. The multi-element spectral channels simultaneously sweep east-west and west-east along a north-to-south path by means of a two-axis mirror scan system retuning telemetry in 10-bit precision. For this Group for High Resolution Sea Surface Temperature (GHRSST) dataset, skin sea surface temperature (SST) measurements are calculated from the far IR channels of GOES-12 at full resolution on a half hourly basis. In native satellite projection, vertically adjacent pixels are averaged and read out at every pixel. L2P datasets including Single Sensor Error Statistics (SSES) are then derived following the GHRSST Data Processing Specification (GDS) version 1.5. The full disk image is subsetted into granules representing distinct northern and southern regions.

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GHRSSTCWIC Short Name: gov.noaa.nodc:GHRSST-OSDPD-L2P-GOES12 Version ID: 4.0 Unique ID: C2213642363-GHRSSTCWIC