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DOI | 10.1002/joc.5203 |
Uncertainty in homogenized daily temperatures and derived indices of extremes illustrated using parallel observations in Canada | |
Vincent, Lucie A.; Milewska, Ewa J.; Wang, Xiaolan L.; Hartwell, Megan M. | |
2018-02-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
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ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2018 |
卷号 | 38期号:2页码:692-707 |
文章类型 | Article |
语种 | 英语 |
国家 | Canada |
英文摘要 | Parallel daily temperature observations at site pairs over a 5-year period at 88 locations across Canada were used to derive and validate adjustments required during homogenization process. The data was first aligned' for compatible observing times at 12 locations (other locations do not have this problem). Then the homogenization adjustments were obtained using three procedures (Seasonal Bias, Monthly Interpolation and Quantile Matching) and two approaches (using parallel and neighbours observations). The root mean squared error (RMSE) between the daily temperatures of site 1 and site 2, and the percentage of days within 0.5 degrees C (PD05) between site 1 and site 2 were used to assess the uncertainty in the mean and extreme values, respectively. The instruments were not necessarily collocated as the distance between the two observing sites varied from 0 to 30 km. The results confirm that it is necessary to apply adjustments for known issues first, such as a different observing time. They also show that when a shift between site 1 and site 2 (defined by the annual mean of the daily temperature differences) is small [<0.25 standard deviation (SD)], the adjustments do not reduce the error between site 1 and site 2. When the shift size is between 0.25 and 0.5 SD, the adjustments derived from parallel observations help to reduce the uncertainty. When the shift is large (>0.5 SD), both approaches reduce the error, although the adjustments derived from parallel observations provide better results as compared to those computed from neighbour observations. The results also indicate that Quantile Matching adjustments can provide a better estimate of the adjustments than the other methods evaluated to indices of extreme temperature computed from the adjusted daily values; however, highly correlated neighbours are needed when the adjustments are based on neighbours observations. |
英文关键词 | uncertainty homogenization daily temperature extremes parallel observations adjustments Quantile Matching Canada |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000423816900013 |
WOS关键词 | MINIMUM TEMPERATURE ; HOMOGENEOUS TEMPERATURE ; CLIMATOLOGICAL DAY ; DAILY MAXIMUM ; PRECIPITATION ; SERIES ; DISCONTINUITIES ; BENCHMARKING ; AUTOMATION ; CONTINUITY |
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/36857 |
专题 | 气候变化 |
作者单位 | Environm & Climate Change Canada, Div Climate Res, Sci & Technol Branch, 4905 Dufferin St, Toronto, ON M3H 5T4, Canada |
推荐引用方式 GB/T 7714 | Vincent, Lucie A.,Milewska, Ewa J.,Wang, Xiaolan L.,et al. Uncertainty in homogenized daily temperatures and derived indices of extremes illustrated using parallel observations in Canada[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2018,38(2):692-707. |
APA | Vincent, Lucie A.,Milewska, Ewa J.,Wang, Xiaolan L.,&Hartwell, Megan M..(2018).Uncertainty in homogenized daily temperatures and derived indices of extremes illustrated using parallel observations in Canada.INTERNATIONAL JOURNAL OF CLIMATOLOGY,38(2),692-707. |
MLA | Vincent, Lucie A.,et al."Uncertainty in homogenized daily temperatures and derived indices of extremes illustrated using parallel observations in Canada".INTERNATIONAL JOURNAL OF CLIMATOLOGY 38.2(2018):692-707. |
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