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

Stability assessment of the (A)ATSR Sea Surface Temperature climate dataset from the European Space Agency Climate Change Initiative
Stability assessment of the (A)ATSR Sea Surface Temperature climate dataset from the European Space Agency Climate Change Initiative
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.
2072-4292
Berry, David I.
55ffc590-f459-49c8-aecf-842d65aeb0fb
Corlett, Gary K.
eb9d0168-9234-4177-b3cb-f892583e26f9
Embury, Owen
7b31110b-7a2b-4f33-824b-1e885caa481f
Merchant, Christopher J.
46703345-636f-4554-ac40-2307fb19ca2c
Berry, David I.
55ffc590-f459-49c8-aecf-842d65aeb0fb
Corlett, Gary K.
eb9d0168-9234-4177-b3cb-f892583e26f9
Embury, Owen
7b31110b-7a2b-4f33-824b-1e885caa481f
Merchant, Christopher J.
46703345-636f-4554-ac40-2307fb19ca2c

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

Record type: Article

Abstract

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.

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Accepted/In Press date: 15 January 2018
e-pub ahead of print date: 18 January 2018

Identifiers

Local EPrints ID: 417690
URI: https://eprints.soton.ac.uk/id/eprint/417690
ISSN: 2072-4292
PURE UUID: a64a5f93-f84f-4874-b85e-02a32875fefc

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Date deposited: 12 Feb 2018 17:30
Last modified: 08 Mar 2018 17:30

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Contributors

Author: David I. Berry
Author: Gary K. Corlett
Author: Owen Embury
Author: Christopher J. Merchant

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