Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-18-0562.1 |
Systematic Differences in Bucket Sea Surface Temperature Measurements among Nations Identified Using a Linear-Mixed-Effect Method | |
Chan, Duo; Huybers, Peter | |
2019-05-01 | |
发表期刊 | JOURNAL OF CLIMATE
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ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2019 |
卷号 | 32期号:9页码:2569-2589 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | The 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 degrees 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 degrees C. Measurements from the Netherlands and deck 156 are colder than the global average by -0.10 degrees and -0.13 degrees C, respectively, both at p < 0.01, whereas Russian measurements are offset warm by 0.10 degrees 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. |
英文关键词 | Sea surface temperature Data mining Bias |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000465136000004 |
WOS关键词 | AIR-TEMPERATURE ; TRENDS ; UNCERTAINTIES ; BIASES |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/182991 |
专题 | 气候变化 |
作者单位 | Harvard Univ, Dept Earth & Planetary Sci, 20 Oxford St, Cambridge, MA 02138 USA |
推荐引用方式 GB/T 7714 | Chan, Duo,Huybers, Peter. Systematic Differences in Bucket Sea Surface Temperature Measurements among Nations Identified Using a Linear-Mixed-Effect Method[J]. JOURNAL OF CLIMATE,2019,32(9):2569-2589. |
APA | Chan, Duo,&Huybers, Peter.(2019).Systematic Differences in Bucket Sea Surface Temperature Measurements among Nations Identified Using a Linear-Mixed-Effect Method.JOURNAL OF CLIMATE,32(9),2569-2589. |
MLA | Chan, Duo,et al."Systematic Differences in Bucket Sea Surface Temperature Measurements among Nations Identified Using a Linear-Mixed-Effect Method".JOURNAL OF CLIMATE 32.9(2019):2569-2589. |
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