On the optimal design of field significance tests for changes in climate extremes

Simple item page
dc.contributor.authorWang, Jianyu
dc.contributor.authorLi, Chao
dc.contributor.authorZwiers, Francis W.
dc.contributor.authorZhang, Xuebin
dc.contributor.authorLi, Guilong
dc.contributor.authorJiang, Zhihong
dc.contributor.authorZhai, Panmao
dc.contributor.authorSun, Ying
dc.contributor.authorLi, Zhen
dc.contributor.authorYue, Qun
dc.date.accessioned2025-04-10T20:27:30Z
dc.date.available2025-04-10T20:27:30Z
dc.date.issued2021
dc.description.abstractField significance tests have been widely used to detect climate change. In most cases, a local test is used to identify significant changes at individual locations, which is then followed by a field significance test that considers the number of locations in a region with locally significant changes. The choice of local test can affect the result, potentially leading to conflicting assessments of the impact of climate change on a region. We demonstrate that when considering changes in the annual extremes of daily precipitation, the simple Mannā€Kendall trend test is preferred as the local test over more complex likelihood ratio tests that compare the fits of stationary and nonstationary generalized extreme value distributions. This lesson allows us to report, with enhanced confidence, that the intensification of annual extremes of daily precipitation in China since 1961 became field significant much earlier than previously reported.
dc.description.reviewstatusReviewed
dc.description.scholarlevelFaculty
dc.description.sponsorshipThis study was supported by the National Key R&D Programs of China (2018YFC1507700). Jianyu Wang and Chao Li was also supported by the National Natural Science Foundation of China (42075026).
dc.identifier.citationWang, J., Li, C., Zwiers, F. W., Zhang, X., Li, G., Jiang, Z., Zhai, P., Sun, Y., Li, Z., & Yue, Q. (2021). On the Optimal Design of Field Significance Tests for Changes in Climate Extremes. Geophysical Research Letters, 48(9). https://doi.org/10.1029/2021GL092831
dc.identifier.urihttps://doi.org/10.1029/2021GL092831
dc.identifier.urihttps://hdl.handle.net/1828/21832
dc.language.isoen
dc.publisherGeophysical Research Letters
dc.subjectUN SDG 13: Climate Action
dc.subject#journal article
dc.subjectPacific Climate Impacts Consortium (PCIC)
dc.titleOn the optimal design of field significance tests for changes in climate extremes
dc.typeArticle

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
wang_jianyu_GeophysResLett_2021.pdf
Size:
1.52 MB
Format:
Adobe Portable Document Format
Download

Collections

PCIC Publications
 
University of Victoria Libraries

We acknowledge and respect the LəkĢ“Ź·É™Å‹É™n (Songhees and Esquimalt) Peoples on whose territory the university stands, and the LəkĢ“Ź·É™Å‹É™n and WĢ±SƁNEĆ Peoples whose historical relationships with the land continue to this day.