4km NODC/RSMAS AVHRR Pathfinder v5.1 Data for 1983 (NCEI Accession 0051830)
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abstract: The 4 km Pathfinder effort at the National Oceanic and Atmospheric Administration (NOAA) National Oceanographic Data Center (NODC) and the University of Miami's Rosenstiel School of Marine and Atmospheric Science (RSMAS) is an extension of and improvement on the sea surface temperature (SST) fields from the NOAA/NASA AVHRR Oceans 9km Pathfinder dataset. In this 4 km Pathfinder project, some important shortcomings in the original 9 km data have been corrected, and the entire time series has been reprocessed at the 4 km Global Area Coverage (GAC) level, the highest resolution possible globally. Twice-daily SST and related parameters back to 1981 have been produced, as well as temporal averages for 5-day, 7-day, 8-day, monthly, and yearly periods. These data are the temporally averaged yearly SST data and related parameters available for 1983. Data for all other years and time periods are available as separate NCEI accessions. Data were collected through the operational period of the NOAA-7 Polar Operational Satellite (POES). The data are in NCSA Hierarchical Data Format (HDF 4), Scientific Data Set (HDF-SDS) with associated FGDC metadata and matching .JPG low resolution image (browse) graphics. The purpose of the NODC Pathfinder data collection is to provide sea surface temperature data and related parameters with good temporal consistency, high accuracy and spatial resolution, and for archive and distribution through the NOAA National Oceanographic Data Center (NODC). This SST dataset is intended primarily for climate related applications and studies and is being established to help form the basis for a Climate Data Record for SST.
purpose: This dataset is available to the public for a wide variety of uses including scientific research and analysis.
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useLimitation: Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
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title: AVHRR Pathfinder version 5.0, interim version 5.0, and version 5.1 global 4km sea surface temperature (SST) data for 1981-2009
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beginPosition: 1983-01-01
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supplementalInformation: The following information refers specifically to the Version 5.0 Pathfinder algorithm. The Version 5.1 Pathfinder algorithm, used to create the data in this accession, is different only in that it replaces the Reynolds Weekly Optimally Interpolated SST Version 2 (OISSTv2) with the Reynolds Optimum Interpolation 1/4-degree Daily SST Analysis Version 2 (DOISSTv2) as the first guess SST and in the quality control procedures. The primary effect of this change is to retain more data in the high gradient regions and in regions where meandering or feature advection is present; effect on the retrieved SST is minimal. The Version 5.0 Pathfinder algorithm was used to produce twice-daily, 5-day, 7-day, 8-day, monthly, and yearly global SST and related parameters (described below). This algorithm is an improved version of the previously most successful of many methods used to derive SST from AVHRR observations (see Barton (1995) for a review of earlier techniques), the University of Miami Pathfinder version v4.2 SST algorithm (described fully in Kilpatrick et al., 2001). The v4.2 algorithm offered marked improvement over operational retrieval algorithms such as MCSST and was applied to AVHRR data to maximize accuracy and to minimize artificial fluctuations arising from the sequence of AVHRR instruments flown on NOAA's polar-orbiting satellites during the past 2 decades. The 9 km v4.2 Pathfinder SSTs were shown to be the highest quality product then available for the construction of global climatologies (Casey and Cornillon, 1999) and longer-term SST trend determination (Casey and Cornillon, 2001), and have been demonstrated to be accurate within about 0.3 degrees C under optimal conditions (Kearns et al., 2000). Relative to the older 9 km v4.2 Pathfinder data, the new, ~ 4 km resolution Pathfinder Version 5.0 global SSTs increase detail roughly by a factor of four simply by virtue of the increased resolution. The increase in detail over widely used but relatively coarse SST datasets such as Optimally Interpolated SST Version 2 (OISSTv2; Reynolds et al., 2002) and the Hadley Centre's Global Sea Ice and SST (HadISST1; Rayner et al., 2003) is far greater. In addition to the increased resolution, significant improvements have been made in the Version 5.0 which enhance the usefulness of the SST fields. Currently, these enhancements include the use of sea ice in the quality level determination scheme, inclusion of many inland water bodies, and the use of a greatly improved land mask. The greatest improvements are seen in coastal zones, marginal seas, and boundary current regions where SST gradients are often large and their impact on operational or research products is greatest. Separate SST products for daytime and nighttime AVHRR retrievals are made to better understand the differences in skin and bulk temperatures, since mean differences between AVHRR-measured skin temperatures and bulk temperatures of 0.1 to 0.2 degrees C (Schluessel et al., 1990) and locally varying differences of up to 1.8 degrees C (Minnett et al., 2000) have been observed. In addition to SST values, the Pathfinder V5.0 Project makes six other parameters available, for a total of seven per time step: 1. All-pixel SST - The all-pixel SST files contain values for each pixel location, including those contaminated with clouds or other sources of error. The Overall Quality Flag values may be used to filter out these unwanted values. The SST value in each pixel location is an average of the highest quality AVHRR Global Area Coverage (GAC) observations available in each roughly 4 km bin. 2. First-guess SST - The Version 5.0 Pathfinder algorithm uses a first guess SST provided by the Reynolds Optimally Interpolated SST Version 2 (OISSTv2) product. The OISSTv2 is also used in the quality control procedures. Version 5.1 Pathfinder uses the Reynolds Optimum Interopolation 1/4-degree Daily SST Analysis Version 2 (DOISSTv2) both as a first guess SST and in the quality control procedures. 3. Number of observations - This parameter indicates the number of AVHRR GAC observations falling in each approximately 4 km bin. 4. Standard deviation - This is the standard deviation of the observations in each 4 km bin. 5. Overall quality flag - The overall quality flag is a relative assignment of SST quality based on a hierarchical suite of tests. The Quality Flag varies from 0 to 7, with 0 being the lowest quality and 7 the highest. For more information regarding the suite of tests, see the Kilpatrick et al. (2001) paper cited above. 6. Mask 1 - These files contain a mask code, which along with Mask 2, can be used to determine the tests in the hierarchical suite that were passed or failed, resulting in the Overall Quality Flag. 7. Mask 2 - These files contain a mask code, which along with Mask 1, can be used to determine the tests in the hierarchical suite that were passed or failed, resulting in the Overall Quality Flag. Note on Pathfinder Program: The Pathfinder program was jointly created by NASA and NOAA through the Earth Observing System (EOS) Program Office in 1990. The focus of the Pathfinder Program was to determine how existing satellite based datasets could be processed and used to study global change. The datasets were designed to be long time-series data processed with stable calibration and community consensus algorithms to better assist the research community. For more information, see: National Aeronautics and Space Administration (NASA). 1993. Earth Observing System (EOS) Reference Handbook, ed. G. Asrar and D. J. Dokken. Washington, D. C.: National Aeronautics and Space Administration, Earth Science Support Office, Document Resource Facility. The 4 km Pathfinder Project effort at the National Oceanic and Atmospheric Administration (NOAA) National Oceanographic Data Center (NODC) and the University of Miami's Rosenstiel School of Marine and Atmospheric Science (RSMAS) is an extension of and improvement on the sea surface temperature (SST) fields from that original NOAA/NASA AVHRR Oceans Pathfinder program.
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description: NCEI Accession 0051830 v1.1 was published.
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DateTime: 2009-03-10T21:07:44Z
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description: NCEI Accession 0051830 was revised and v1.2 was published.
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acquisitionInformation: (MI_AcquisitionInformation)
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identifier: (MD_Identifier)
code: AVHRR-2
type: AVHRR-2
description: Advanced Very High Resolution Radiometer-2 The AVHRR-2 is a multi purpose imaging instrument used for global measurement of cloud cover, sea surface temperature, ice, snow and vegetation cover and characteristics. This instrument was initially carried on NOAA-7 (launched June 1981) and was last flown on NOAA-14 which was decommissioned in 2005. This 5-channel radiometer covering 2 visible and 3 thermal infrared between 0.63 and 12.0 micrometers, has an instantaneous footprint of 1.1 km at the sub satellite point. Additional Information: https://nwpsaf.eu/deliverables/aapp/avhrr_2.html
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code: NOAA-7
description: Updated information from ICES for the platform NOAA-7 from UNITED STATES. Name NOAA-7 Country(s) US: UNITED STATES Platform Class 65: Orbiting satellite Commissioned Date 1981-06-23 Decommissioned Date 1986-06-07 Notes Selected global data available from NOAA. Significant contribution to Space weather and operational meteorology. Information source (URL) https://www.wmo-sat.info/oscar/satellites/view/329 All known Instruments flying on NOAA-7 Acronym - Full name Argos - Argos Data Collection System AVHRR/2 - Advanced Very High Resolution Radiometer / 2 HIRS/2 - High-resolution Infra Red Sounder / 2 MSU - Microwave Sounding Unit SSU - Stratospheric Sounding Unit SEM/MEPED - SEM / Medium energy proton detector SEM/TED - SEM / Total Energy Detector Submitted to ICES on 2018-07-17. Confirmed by NOAA on 2018-08-08.
instrument: #inst_be0e
