@article{,
title= {noaa-global-surface-temperature},
journal= {},
author= {Huang, B. and X. Yin and M. J. Menne and R. Vose and H. Zhang},
year= {},
url= {https://www.ncei.noaa.gov/metadata/geoportal/rest/metadata/item/gov.noaa.ncdc:C01704/html},
abstract= {The NOAA Merged Land Ocean Global Surface Temperature Analysis (NOAAGlobalTemp, formerly known as MLOST) combines long-term sea surface (water) temperature (SST) and land surface (air) temperature datasets to create a complete, accurate depiction of global temperature trends. The dataset is used to support climate monitoring activities such as the Monthly Global Climate Assessment, and also provides input data for a number of climate models.

Methodology

To achieve global temperature coverage, NOAAGlobalTemp combines the sea surface temperature (SST) with land surface air temperature (LSAT). Data is available as a series of temperature anomalies relative to a 1971–2000 monthly climatology. To compute anomalies relative to climatologies for other time periods (e.g. 1991–2020), calculate the average of the NOAAGlobalTemp anomalies for that time period (e.g. 1991–2020), and then subtract the average from the original anomalies.},
keywords= {NOAA, NCEI, MLOST, surface temperature, SST, LSAT,},
terms= {},
license= {},
superseded= {}
}