The PO.DAAC is pleased to announce the public release of the NOAA/STAR GHRSST global 0.02-deg L3S-LEO_PM v2.80 dataset produced from Low Earth Orbiting (LEO) JPSS satellites (currently, NPP and N20) with VIIRS sensor onboard, replacing NOAA POES system with AVHRR GAC (4km/nadir).

The L3S LEO_PM (L3S: Level 3 “super-collated”) aggregates two individual global L3U SST datasets (10.5067/GHVRS-3UO61 and 10.5067/GHV20-3UO61). The dataset consists of two daily files, one daytime and one nighttime, corresponding to nominal JPSS local equator crossing times around 01:30/13:30, respectively, in netCDF-4 format compliant with the GHRSST Data Specification version 2 (GDS2). The L3S-LEO_PM data are validated against quality controlled in situ data, provided by the NOAA in situ SST Quality Monitor system (iQuam; Xu and Ignatov, 2014), and monitored in another NOAA system, SST Quality Monitor (SQUAM; Dash et al, 2010). The entire data record extends from Feb 2012 to present with an approximate 6-hour latency for the Near Real Time (NRT) product, which is replaced by the Re-Analysis (RAN) SST product two months later. The RAN data are characterized by improved stability, accurate retrieval performance and improved coverage over the ocean.

More information on the Group for High-Resolution Sea Surface Temperature (GHRSST) Project, as well as other GHRSST datasets, can be found here. The GHRSST L3S LEO-PM v2.80 dataset is accessible in NASA’s Earthdata Cloud infrastructure through AWS, including both HTTPS access and direct S3 access in the “us-west-2” AWS region and is further described and discoverable via the PO.DAAC and NASA Earthdata Search dataset information pages with the following DOI (Digital Object Identifier).

DOI:

10.5067/GHLPM-3SS28

Citation:

NOAA/STAR. 2021. GHRSST NOAA/STAR ACSPO v2.80 0.02 degree L3S Dataset from Afternoon LEO Satellites (GDS v2). Ver. v2.80. PO.DAAC,    CA, USA. https://doi.org/10.5067/GHLPM-3SS28

References:

O. Jonasson, I. Gladkova, A. Ignatov, Y. Kihai, 2019: Algorithmic improvements and consistency checks of the NOAA global gridded super-collated SSTs from low Earth orbiting satellites ACSPO L3S-LEO. SPIE Defense + Commercial Sensing 2021, 11752, doi.org/10.1117/12.2585819

O. Jonasson, I. Gladkova; A. Ignatov, Y. Kihai. Progress with development of global gridded super-collated SST products from low Earth orbiting satellites (L3S-LEO) at NOAA. SPIE Defense + Commercial Sensing 2020, 11420, doi.org/10.1117/12.2551819

I. Gladkova, A. Ignatov, Y. Kihai, M. Pennybacker. Towards high-resolution multi-sensor gridded ACSPO SST product: reducing residual cloud contamination. SPIE Defense + Commercial Sensing 2019, 11014, doi:10.1117/12.2518462

A. Ignatov, I. Gladkova, Y. Ding, F. Shahriar, Y. Kihai and X. Zhou, 2017: JPSS VIIRS level 3 uncollated SST product at NOAA, J. Appl. Remote Sens., 3, 1-17, doi:10.1117/1.JRS.11.032405.

Dash, P., A. Ignatov, Y. Kihai & J. Sapper, 2010: The SST Quality Monitor (SQUAM). JTECH, 27, 1899-1917, doi:10.1175/2010JTECHO756.1, www.star.nesdis.noaa.gov/sod/sst/squam/ 

Xu, F. and A. Ignatov, 2014: In situ SST Quality Monitor (iQuam). JTECH, 31, 164-180, doi:10.1175/JTECH-D-13-00121.1, www.star.nesdis.noaa.gov/sod/sst/iquam/