Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.5283 |
Does applying quantile mapping to subsamples improve the bias correction of daily precipitation? | |
Reiter, Philipp1,2; Gutjahr, Oliver3,4; Schefczyk, Lukas4; Heinemann, Guenther4; Casper, Markus2 | |
2018-03-30 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
![]() |
ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2018 |
卷号 | 38期号:4页码:1623-1633 |
文章类型 | Article |
语种 | 英语 |
国家 | Germany |
英文摘要 | Quantile mapping (QM) is routinely applied in many climate change impact studies for the bias correction (BC) of daily precipitation data. It corrects the complete distribution, but does not correct for errors in the annual cycle. Therefore, QM is often applied separately to temporal subsamples of the data (e.g. each calendar month), which reduces the calibration sample size. The question arises whether this sample size reduction negates the benefit from applying QM to temporal subsamples. We applied four QM methods in a cross-validation approach to 40 years of daily precipitation data from 10 regional climate model (RCM) hindcast runs, without and with (semi-annual, seasonal, and monthly) subsampling. QM subsampling improved the BC of daily RCM precipitation; less distinct for independent data but considerably for the calibration data. The optimal subsampling timescale for the correction of independent data depended on the chosen QM method and ranged between semi-annual and monthly. Overall, a sub-annual QM improves the forcing for climate change impact studies and thus their reliability. |
英文关键词 | bias correction bias adjustment quantile mapping quantile matching sample size timescale annual cycle precipitation |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000427011700002 |
WOS关键词 | REGIONAL CLIMATE MODEL ; DOWNSCALING METHODS ; TEMPERATURE ; PROJECTIONS ; HYDROLOGY ; IMPACTS |
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/37158 |
专题 | 气候变化 |
作者单位 | 1.Rhineland Palatinate Ctr Excellence Climate Chang, Hauptstr 16, D-67705 Trippstadt, Germany; 2.Univ Trier, Dept Phys Geog, Trier, Germany; 3.Max Planck Inst Meteorol, Hamburg, Germany; 4.Univ Trier, Dept Environm Meteorol, Trier, Germany |
推荐引用方式 GB/T 7714 | Reiter, Philipp,Gutjahr, Oliver,Schefczyk, Lukas,et al. Does applying quantile mapping to subsamples improve the bias correction of daily precipitation?[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2018,38(4):1623-1633. |
APA | Reiter, Philipp,Gutjahr, Oliver,Schefczyk, Lukas,Heinemann, Guenther,&Casper, Markus.(2018).Does applying quantile mapping to subsamples improve the bias correction of daily precipitation?.INTERNATIONAL JOURNAL OF CLIMATOLOGY,38(4),1623-1633. |
MLA | Reiter, Philipp,et al."Does applying quantile mapping to subsamples improve the bias correction of daily precipitation?".INTERNATIONAL JOURNAL OF CLIMATOLOGY 38.4(2018):1623-1633. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论