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Found 12 dataset(s) matching "NOAA-19 > National Oceanic & Atmospheric Administration-19".
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These quality monitoring data for Pathfinder Version 5.2 (PFV5.2) Sea Surface Temperature (SST) are based on the concept of a Rich Inventory developed by the Enterprise Data Systems Group at the...
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This package contains a set of 12 monthly mean (MM) climatologies, one for each calendar month, and the maximum monthly mean (MMM) climatology. Each climatology has global coverage at 0.05-degree...
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Ensemble Median Global sea surface temperature (EMSST) is a daily SST dataset constructed by Nagoya University from an ensemble of 18 global SST products for the period from January 1, 1988 to...
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AVHRR Pathfinder version 5.3 level 3 collated (L3C) global 4km sea surface temperature for 1981-2023
The AVHRR Pathfinder Version 5.3 (PFV53) L3C Sea Surface Temperature dataset is a collection of global, twice-daily (Day and Night) 4km sea surface temperature (SST) data produced by the NOAA...
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AVHRR Pathfinder version 5.2 level 3 collated (L3C) global 4km sea surface temperature for 1981-2012
The AVHRR Pathfinder Version 5.2 Sea Surface Temperature dataset (PFV52) is a collection of global, twice-daily 4km sea surface temperature data produced in a partnership by the NOAA National...
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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...
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Version 6 of the Coral Reef Temperature Anomaly Database (CoRTAD) is a global, 4 km, sea surface temperature (SST) and related thermal stress metrics dataset for 1982-01-02 to 2022-12-30. The...
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Advanced Clear Sky Processor for Ocean (ACSPO) is the NOAA Enterprise Sea Surface Temperature (SST) system. It is currently used to produce a consistent line of SST products from several VIIRS,...
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NOAA Coral Reef Watch program produces a suite of near-real-time global 50 km monitoring products, based on sea surface temperature (SST) observations from NOAA's Polar-orbiting Operational...