A global long-term (1981–2000) land surface temperature product for NOAA AVHRR

Ma, Jin; Zhou, Ji; Göttsche, Frank-Michael; Liang, Shunlin; Wang, Shaofei; Li, Mingsong

doi:https://doi.org/10.5194/essd-12-3247-2020

Articles | Volume 12, issue 4

https://doi.org/10.5194/essd-12-3247-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-12-3247-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 4

Data description paper

|

09 Dec 2020

Data description paper |

| 09 Dec 2020

A global long-term (1981–2000) land surface temperature product for NOAA AVHRR

Jin Ma, Ji Zhou, Frank-Michael Göttsche, Shunlin Liang, Shaofei Wang, and Mingsong Li

Data sets

GLASS Land Surface Temperature product (1981-2000): instantaneous LST Ma,Jin; Zhou, Ji; Göttsche, Frank-Michael; Liang, Shunlin; Wang, Shaofei https://doi.org/10.5281/zenodo.3934354

GLASS Land Surface Temperature product (1981-2000): Orbital Drift Corrected LST Ma, Jin; Zhou,Ji; Liang, Shunlin; Li, Mingsong https://doi.org/10.5281/zenodo.3936627

GLASS Land Surface Temperature product (1981-2000): monthly averaged LST Ma, Jin; Zhou, Ji; Liang, Shunlin https://doi.org/10.5281/zenodo.3936641

National Data Buoy Center National Oceanic & Atmospheric Administration (NOAA) https://www.ndbc.noaa.gov/historical_data.shtml

Short summary

Land surface temperature is an important parameter in the research of climate change and many land surface processes. This article describes the development and testing of an algorithm for generating a consistent global long-term land surface temperature product from 20 years of NOAA AVHRR radiance data. The preliminary validation results indicate good accuracy of this new long-term product, which has been designed to simplify applications and support the scientific research community.