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

Xu, Lianlian, Wang, Aihui (2019) Application of the Bias Correction and Spatial Downscaling Algorithm on the Temperature Extremes From CMIP5 Multimodel Ensembles in China. Earth and Space Science, 6 (12). 2508-2524 doi:10.1029/2019ea000995

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleApplication of the Bias Correction and Spatial Downscaling Algorithm on the Temperature Extremes From CMIP5 Multimodel Ensembles in China
JournalEarth and Space Science
AuthorsXu, LianlianAuthor
Wang, AihuiAuthor
Year2019 (December)Volume6
Issue12
PublisherAmerican Geophysical Union (AGU)
DOIdoi:10.1029/2019ea000995Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID3048587Long-form Identifiermindat:1:5:3048587:7
GUID0
Full ReferenceXu, Lianlian, Wang, Aihui (2019) Application of the Bias Correction and Spatial Downscaling Algorithm on the Temperature Extremes From CMIP5 Multimodel Ensembles in China. Earth and Space Science, 6 (12). 2508-2524 doi:10.1029/2019ea000995
Plain TextXu, Lianlian, Wang, Aihui (2019) Application of the Bias Correction and Spatial Downscaling Algorithm on the Temperature Extremes From CMIP5 Multimodel Ensembles in China. Earth and Space Science, 6 (12). 2508-2524 doi:10.1029/2019ea000995
In(2019, December) Earth and Space Science Vol. 6 (12) American Geophysical Union (AGU)

See Also

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

Yang, Yunfan, Zhang, Yuanjie, Gao, Zhiqiu, Pan, Zaitao, Zhang, Xuefen (2023) Historical and Projected Changes in Temperature Extremes Over China and the Inconsistency Between Multimodel Ensembles and Individual Models From CMIP5 and CMIP6. Earth and Space Science, 10 (2) doi:10.1029/2022ea002514
Xu, Lianlian, Wang, Aihui, Wang, Dan, Wang, Huijun (2019) Hot Spots of Climate Extremes in the Future. Journal of Geophysical Research: Atmospheres, 124 (6). 3035-3049 doi:10.1029/2018jd029980
Xu, Kai, Wu, Chuanhao, Hu, Bill X. (2019) Projected changes of temperature extremes over nine major basins in China based on the CMIP5 multimodel ensembles. Stochastic Environmental Research and Risk Assessment, 33 (1). 321-339 doi:10.1007/s00477-018-1569-2
Xu, Kai, Xu, Bingbo, Ju, Jiali, Wu, Chuanhao, Dai, Heng, Hu, Bill X. (2019) Projection and uncertainty of precipitation extremes in the CMIP5 multimodel ensembles over nine major basins in China. Atmospheric Research, 226. 122-137 doi:10.1016/j.atmosres.2019.04.018
Zhou, Botao, Wen, Qiuzi Han, Xu, Ying, Song, Lianchun, Zhang, Xuebin (2014) Projected Changes in Temperature and Precipitation Extremes in China by the CMIP5 Multimodel Ensembles. Journal of Climate, 27 (17). 6591-6611 doi:10.1175/jcli-d-13-00761.1
Seneviratne, Sonia I., Hauser, Mathias (2020) Regional Climate Sensitivity of Climate Extremes in CMIP6 Versus CMIP5 Multimodel Ensembles. Earth's Future, 8 (9) doi:10.1029/2019ef001474
Ji, Luying; Ji, Yan; Zhi, Xiefei; Luo, Qixiang; Zhu, Shoupeng (2025) Probabilistic Forecasting of Summer Wind Speed in China Using Multimodel Ensembles. Earth and Space Science, 12 (4). doi:10.1029/2024ea003850
Michalek, Alexander T., Villarini, Gabriele, Kim, Taereem (2024) Understanding the Impact of Precipitation Bias‐Correction and Statistical Downscaling Methods on Projected Changes in Flood Extremes. Earth's Future, 12 (3) doi:10.1029/2023ef004179
Jia, Kun, Ruan, Yunfeng, Yang, Yanzhao, You, Zhen (2019) Assessment of CMIP5 GCM Simulation Performance for Temperature Projection in the Tibetan Plateau. Earth and Space Science, 6 (12). 2362-2378 doi:10.1029/2019ea000962
Ma, Xin, Wang, Aihui (2024) Evaluation and Uncertainty Analysis of the Land Surface Hydrology in LS3MIP Models Over China. Earth and Space Science, 11 (7) doi:10.1029/2023ea003391
Chen, Qingqing, Miao, Fang, Wang, Hao, Xu, Zi‐Xin, Tang, Zhiya, Yang, Ling, Qi, Shengxiu (2020) Downscaling of Satellite Remote Sensing Soil Moisture Products Over the Tibetan Plateau Based on the Random Forest Algorithm: Preliminary Results. Earth and Space Science, 7 (6) doi:10.1029/2020ea001265
 
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: August 26, 2025 21:09:57
Go to top of page