Title
Stability Assessment of the (A)ATSR Sea Surface Temperature Climate Dataset from the European Space Agency Climate Change Initiative.
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 similar to 1994, with minimal divergence (similar to 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.
Year
DOI
Venue
2018
10.3390/rs10010126
REMOTE SENSING
Keywords
Field
DocType
Along Track Scanning Radiometer (ATSR),sea surface temperature,stability,homogeneity,drifting buoys,Argo,Global Tropical Moored buoy Array (GTMBA),Penalized Maximal t Test
Satellite,Climate change,Homogeneity (statistics),Sea surface temperature,Remote sensing,Stability assessment,Argo,Constant false alarm rate,Geology,Climatology,Statistical power
Journal
Volume
Issue
Citations 
10
1
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
David I. Berry100.34
gary k corlett201.35
Owen Embury302.37
Christopher J. Merchant414.08