Sensitive study of the climatological SST by using ATSR global SST data sets

Yong Xue; Sean P. Lawrence; David T. Llewellyn-Jones

doi:10.1117/12.228630

18 December 1995 Sensitive study of the climatological SST by using ATSR global SST data sets

Yong Xue, Sean P. Lawrence, David T. Llewellyn-Jones

Proceedings Volume 2586, Global Process Monitoring and Remote Sensing of the Ocean and Sea Ice; (1995) https://doi.org/10.1117/12.228630
Event: Satellite Remote Sensing II, 1995, Paris, France

Abstract

Climatological sea surface temperature (SST) is an initial step for global climate processing monitoring. A comparison has been made by using Oberhuber's SST data set and two years monthly averaged SST from ATSR thermal band data to force the OGCM. In the eastern Pacific Ocean, these make only a small difference to model SST. In the western Pacific Ocean, the use of Oberhuber's data set gives higher climatological SST than that using ATSR data. The SSTs were also simulated for 1992 using climatological SSTs from two years monthly averaged ATSR data and Oberhuber data. The forcing with SST from ATSR data was found to give better SST simulation than that from Oberhuber's data. Our study has confirmed that ATSR can provide accurate monthly averaged global SST for global climate processing monitoring.

Citation Download Citation

Yong Xue, Sean P. Lawrence, and David T. Llewellyn-Jones "Sensitive study of the climatological SST by using ATSR global SST data sets", Proc. SPIE 2586, Global Process Monitoring and Remote Sensing of the Ocean and Sea Ice, (18 December 1995); https://doi.org/10.1117/12.228630

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available