Wednesday, May 29, 2019

DOI: 10.5067/GHG16-3UO27

The PO.DAAC is pleased to announce the public release of the NOAA GHRSST GOES-16 (“G16”) ABI L2P/L3C v2.70 Sea Surface Temperature (SST) Datasets.

The G16 (aka GOES-R, prior to launch) is a first satellite in the NOAA new generation geostationary satellites of “GOES-R series”. It was launched on 19 Nov 2016 and declared NOAA operational GOES-East satellite (positioned at 75oW) on 18 Dec 2017. G16 replaced the prior NOAA operational GOES-East satellite, GOES-13. G16 covers a domain from 15o - 135oW and 60oS - 60oN. The current record covers from 6 May 2019 onward. NOAA has provided L2P/3C records back to 15 Dec 2017, and PO.DAAC started working to ingest those.

The G16 SSTs are produced operationally by the Center for Satellite Applications and Research (STAR), with the NOAA Advanced Clear Sky Processor for Ocean (ACSPO) system. The datasets are formatted as netCDF, in compliance with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2.0 (GDS2). Detailed information regarding the GHRSST Level 2P/3C products are available from the GHRSST website and also via PO.DAAC’s GHRSST mission webpage.

The ACSPO L2P dataset is reported on the instrument native swath grid with spatial resolution 2 km at nadir (degrading to ~15 km at view zenith angle, 67o), 5,424×5,424 pixels per full-disk image. The L3C datasets represents a gridded (at 0.02 o equiangular projection) version of L2P. Both are produced using the collation-in-time algorithm, which utilizes all 10-min data and collates them into 1-hr granules, 24 granules per day. The daily data volumes are 0.6 GB for L2P and 0.2 GB for L3C.

The datasets are described and discoverable via the PO.DAAC dataset information pages.  The dataset information pages also provide access to the technical documentation and guidance on how to cite the data.

Citation: Petrenko, B., A. Ignatov, Y. Kihai, M. Pennybacker, 2019, Optimization of Sensitivity of GOES-16 ABI Sea Surface Temperature by Matching Satellite Observations with L4 Analysis, Remote Sensing, 11(2), doi: 10.3390/rs11020206, 16pp.

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