Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017GL074596 |
Uncertainty in regional temperatures inferred from sparse global observations: Application to a probabilistic classification of El Nino | |
Ilyas, Maryam1; Brierley, Christopher M.2; Guillas, Serge1 | |
2017-09-16 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS |
ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2017 |
卷号 | 44期号:17 |
文章类型 | Article |
语种 | 英语 |
国家 | England |
英文摘要 | Instrumental records showing increases in surface temperature are some of the robust and iconic evidence of climate change. But how much should we trust regional temperature estimates interpolated from sparse observations? Here we quantify the uncertainty in the instrumental record by applying multiresolution lattice kriging, a recently developed interpolation technique that leverages the multiple spatial scales of temperature anomalies. The probability of monthly anomalies across the globe is represented by an ensemble, based on HadCRUT4 and accounting for observational and coverage uncertainties. To demonstrate the potential of these new data, we investigate the area-averaged temperature anomalies over the Nino 3.4 region in the equatorial Pacific. Having developed a definition of the El Nino-Southern Oscillation (ENSO) able to cope with probability distribution functions, we classify the ENSO state for each year since 1851. We find that for many years it is ambiguous as to whether there was an El Nino or not from the Nino 3.4 region alone. These years are mainly before 1920, but also just after World War II. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000411702400045 |
WOS关键词 | SURFACE-TEMPERATURE |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
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/29142 |
专题 | 气候变化 |
作者单位 | 1.UCL, Dept Stat Sci, London, England; 2.UCL, Dept Geog, London, England |
推荐引用方式 GB/T 7714 | Ilyas, Maryam,Brierley, Christopher M.,Guillas, Serge. Uncertainty in regional temperatures inferred from sparse global observations: Application to a probabilistic classification of El Nino[J]. GEOPHYSICAL RESEARCH LETTERS,2017,44(17). |
APA | Ilyas, Maryam,Brierley, Christopher M.,&Guillas, Serge.(2017).Uncertainty in regional temperatures inferred from sparse global observations: Application to a probabilistic classification of El Nino.GEOPHYSICAL RESEARCH LETTERS,44(17). |
MLA | Ilyas, Maryam,et al."Uncertainty in regional temperatures inferred from sparse global observations: Application to a probabilistic classification of El Nino".GEOPHYSICAL RESEARCH LETTERS 44.17(2017). |
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