Vote for your favorite mineral in #MinCup25! - Stibnite vs. Perovskite
It's all about how minerals interact with humans as dramatic #stibnite faces off against futuristic #perovskite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Jiang, Yujing, Cooley, Daniel, Wehner, Michael F. (2020) Principal Component Analysis for Extremes and Application to U.S. Precipitation. Journal of Climate, 33 (15) 6441-6451 doi:10.1175/jcli-d-19-0413.1

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitlePrincipal Component Analysis for Extremes and Application to U.S. Precipitation
JournalJournal of Climate
AuthorsJiang, YujingAuthor
Cooley, DanielAuthor
Wehner, Michael F.Author
Year2020 (August 1)Volume33
Issue15
PublisherAmerican Meteorological Society
DOIdoi:10.1175/jcli-d-19-0413.1Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID13647590Long-form Identifiermindat:1:5:13647590:5
GUID0
Full ReferenceJiang, Yujing, Cooley, Daniel, Wehner, Michael F. (2020) Principal Component Analysis for Extremes and Application to U.S. Precipitation. Journal of Climate, 33 (15) 6441-6451 doi:10.1175/jcli-d-19-0413.1
Plain TextJiang, Yujing, Cooley, Daniel, Wehner, Michael F. (2020) Principal Component Analysis for Extremes and Application to U.S. Precipitation. Journal of Climate, 33 (15) 6441-6451 doi:10.1175/jcli-d-19-0413.1
In(2020, August) Journal of Climate Vol. 33 (15) American Meteorological Society

See Also

These are possibly similar items as determined by title/reference text matching only.

Li, Ziwei, O’Gorman, Paul A. (2020) Response of Vertical Velocities in Extratropical Precipitation Extremes to Climate Change. Journal of Climate, 33 (16) 7125-7139 doi:10.1175/jcli-d-19-0766.1
Risser, Mark D., Paciorek, Christopher J., O’Brien, Travis A., Wehner, Michael F., Collins, William D. (2019) Detected Changes in Precipitation Extremes at Their Native Scales Derived from In Situ Measurements. Journal of Climate, 32 (23). 8087-8109 doi:10.1175/jcli-d-19-0077.1
Li, Chao, Zwiers, Francis, Zhang, Xuebin, Li, Guilong, Sun, Ying, Wehner, Michael (2021) Changes in Annual Extremes of Daily Temperature and Precipitation in CMIP6 Models. Journal of Climate, 34 (9) 3441-3460 doi:10.1175/jcli-d-19-1013.1
Wilks, Daniel S. (2016) Modified “Rule N” Procedure for Principal Component (EOF) Truncation. Journal of Climate, 29 (8). 3049-3056 doi:10.1175/jcli-d-15-0812.1
Dong, Siyan, Sun, Ying, Li, Chao (2020) Detection of Human Influence on Precipitation Extremes in Asia. Journal of Climate, 33 (12) 5293-5304 doi:10.1175/jcli-d-19-0371.1
Zhan, Wang, He, Xiaogang, Sheffield, Justin, Wood, Eric F. (2020) Projected Seasonal Changes in Large-Scale Global Precipitation and Temperature Extremes Based on the CMIP5 Ensemble. Journal of Climate, 33 (13) 5651-5671 doi:10.1175/jcli-d-19-0311.1
Agel, Laurie, Barlow, Mathew (2020) How Well Do CMIP6 Historical Runs Match Observed Northeast U.S. Precipitation and Extreme Precipitation–Related Circulation?. Journal of Climate, 33 (22) 9835-9848 doi:10.1175/jcli-d-19-1025.1
Ben Alaya, M. A., Zwiers, F., Zhang, X. (2020) An Evaluation of Block-Maximum-Based Estimation of Very Long Return Period Precipitation Extremes with a Large Ensemble Climate Simulation. Journal of Climate, 33 (16) 6957-6970 doi:10.1175/jcli-d-19-0011.1
Pike, Maxwell, Lintner, Benjamin R. (2020) Application of Clustering Algorithms to TRMM Precipitation over the Tropical and South Pacific Ocean. Journal of Climate, 33 (13) 5767-5785 doi:10.1175/jcli-d-19-0537.1
Wang, Shuguang (2020) A Precipitation-Based Index for Tropical Intraseasonal Oscillations. Journal of Climate, 33 (3). 805-823 doi:10.1175/jcli-d-19-0019.1
Timmermans, Ben, Wehner, Michael, Cooley, Daniel, O’Brien, Travis, Krishnan, Harinarayan (2019) An evaluation of the consistency of extremes in gridded precipitation data sets. Climate Dynamics, 52 (11). 6651-6670 doi:10.1007/s00382-018-4537-0
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 18, 2025 19:45:38
Go to top of page