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contributor authorChan, Duo
contributor authorHuybers, Peter
date accessioned2019-10-05T06:41:54Z
date available2019-10-05T06:41:54Z
date copyright2/14/2019 12:00:00 AM
date issued2019
identifier otherJCLI-D-18-0562.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4263133
description abstractAbstractThe International Comprehensive Ocean?Atmosphere Dataset (ICOADS) is a cornerstone for estimating changes in sea surface temperatures (SST) over the instrumental era. Interest in determining SST changes to within 0.1°C makes detecting systematic offsets within ICOADS important. Previous studies have corrected for offsets among engine room intake, buoy, and wooden and canvas bucket measurements, as well as noted discrepancies among various other groupings of data. In this study, a systematic examination of differences in collocated bucket SST measurements from ICOADS3.0 is undertaken using a linear-mixed-effect model according to nations and more-resolved groupings. Six nations and a grouping for which nation metadata are missing, referred to as ?deck 156,? together contribute 91% of all bucket measurements and have systematic offsets among one another of as much as 0.22°C. Measurements from the Netherlands and deck 156 are colder than the global average by ?0.10° and ?0.13°C, respectively, both at p < 0.01, whereas Russian measurements are offset warm by 0.10°C at p < 0.1. Furthermore, of the 31 nations whose measurements are present in more than one grouping of data (i.e., deck), 14 contain decks that show significant offsets at p < 0.1, including all major collecting nations. Results are found to be robust to assumptions regarding the independence and distribution of errors as well as to influences from the diurnal cycle and spatially heterogeneous noise variance. Correction for systematic offsets among these groupings should improve the accuracy of estimated SSTs and their trends.
publisherAmerican Meteorological Society
titleSystematic Differences in Bucket Sea Surface Temperature Measurements among Nations Identified Using a Linear-Mixed-Effect Method
typeJournal Paper
journal volume32
journal issue9
journal titleJournal of Climate
identifier doi10.1175/JCLI-D-18-0562.1
journal fristpage2569
journal lastpage2589
treeJournal of Climate:;2019:;volume 032:;issue 009
contenttypeFulltext


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