Stability assessment of the (A)ATSR Sea Surface Temperature climate dataset from the European Space Agency Climate Change Initiative

Berry, David I.; Corlett, Gary; Embury, Owen; Merchant, Christopher. 2018 Stability assessment of the (A)ATSR Sea Surface Temperature climate dataset from the European Space Agency Climate Change Initiative. Remote Sensing, 10 (1). 126. https://doi.org/10.3390/rs10010126

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Official URL: http://dx.doi.org/10.3390/rs10010126

Abstract/Summary

Sea surface temperature is a key component of the climate record, with multiple independent records giving confidence in observed changes. As part of the European Space Agencies (ESA) Climate Change Initiative (CCI) the satellite archives have been reprocessed with the aim of creating a new dataset that is independent of the in situ observations, and stable with no artificial drift (<0.1 K decade-1 globally) or step changes. We present a method to assess the satellite sea surface temperature (SST) record for step changes using the Penalized Maximal t Test (PMT) applied to aggregate time series. We demonstrated the application of the method using data from version EXP1.8 of the ESA SST CCI dataset averaged on a 7 km grid and in situ observations from moored buoys, drifting buoys and Argo floats. The CCI dataset was shown to be stable after ~1994, with minimal divergence (~0.01 K decade-1) between the CCI data and in situ observations. Two steps were identified due to the failure of a gyroscope on the ERS-2 satellite, and subsequent correction mechanisms applied. These had minimal impact on the stability due to having equal magnitudes but opposite signs. The statistical power and false alarm rate of the method were assessed. © 2018 by the authors.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.3390/rs10010126
ISSN:	2072-4292
Date made live:	12 Feb 2018 14:21 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/519272

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.3390/rs10010126

ISSN:

2072-4292

Date made live:

12 Feb 2018 14:21 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/519272