A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies

This paper describes a blended sea-surface temperature (SST) data set that is part of the National Oceanic and Atmospheric Administration (NOAA) Climate Data Record (CDR) program product suite. Using optimum interpolation (OI), in situ and satellite observations are combined on a daily and 0.25° spa...

Full description

Saved in:
Bibliographic Details
Published inEarth system science data Vol. 8; no. 1; pp. 165 - 176
Main Authors Banzon, Viva, Smith, Thomas M., Chin, Toshio Mike, Liu, Chunying, Hankins, William
Format Journal Article
LanguageEnglish
Published Katlenburg-Lindau Copernicus GmbH 28.04.2016
Copernicus Publications
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:This paper describes a blended sea-surface temperature (SST) data set that is part of the National Oceanic and Atmospheric Administration (NOAA) Climate Data Record (CDR) program product suite. Using optimum interpolation (OI), in situ and satellite observations are combined on a daily and 0.25° spatial grid to form an SST analysis, i.e., a spatially complete field. A large-scale bias adjustment of the input infrared SSTs is made using buoy and ship observations as a reference. This is particularly important for the time periods when volcanic aerosols from the El Chichón and Mt. Pinatubo eruptions are widespread globally. The main source of SSTs is the Advanced Very High Resolution Radiometer (AVHRR), available from late 1981 to the present, which is also the temporal span of this CDR. The input and processing choices made to ensure a consistent data set that meets the CDR requirements are summarized. A brief history and an explanation of the forward production schedule for the preliminary and science-quality final product are also provided. The data set is produced and archived at the newly formed National Centers for Environmental Information (NCEI) in Network Common Data Form (netCDF) at doi:10.7289/V5SQ8XB5.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1866-3516
1866-3508
1866-3516
DOI:10.5194/essd-8-165-2016