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Title: Contributions of different bias-correction methods and reference meteorological forcing data sets to uncertainty in projected temperature and precipitation extremes

Authors:
ORCiD logo [1];  [2]; ORCiD logo [3]; ORCiD logo [4];  [1]
  1. Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, Tsukuba Japan
  2. KOZO KEIKAKU ENGINEERING Inc., Tokyo Japan
  3. Institute of Industrial Science, University of Tokyo, Tokyo Japan
  4. National Institute for Environmental Studies, Tsukuba Japan
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1374078
Grant/Contract Number:
FG02-04ER63917; FG02-04ER63911
Resource Type:
Journal Article: Published Article
Journal Name:
Journal of Geophysical Research: Atmospheres
Additional Journal Information:
Related Information: CHORUS Timestamp: 2018-01-30 12:11:29; Journal ID: ISSN 2169-897X
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English

Citation Formats

Iizumi, Toshichika, Takikawa, Hiroki, Hirabayashi, Yukiko, Hanasaki, Naota, and Nishimori, Motoki. Contributions of different bias-correction methods and reference meteorological forcing data sets to uncertainty in projected temperature and precipitation extremes. United States: N. p., 2017. Web. doi:10.1002/2017JD026613.
Iizumi, Toshichika, Takikawa, Hiroki, Hirabayashi, Yukiko, Hanasaki, Naota, & Nishimori, Motoki. Contributions of different bias-correction methods and reference meteorological forcing data sets to uncertainty in projected temperature and precipitation extremes. United States. doi:10.1002/2017JD026613.
Iizumi, Toshichika, Takikawa, Hiroki, Hirabayashi, Yukiko, Hanasaki, Naota, and Nishimori, Motoki. 2017. "Contributions of different bias-correction methods and reference meteorological forcing data sets to uncertainty in projected temperature and precipitation extremes". United States. doi:10.1002/2017JD026613.
@article{osti_1374078,
title = {Contributions of different bias-correction methods and reference meteorological forcing data sets to uncertainty in projected temperature and precipitation extremes},
author = {Iizumi, Toshichika and Takikawa, Hiroki and Hirabayashi, Yukiko and Hanasaki, Naota and Nishimori, Motoki},
abstractNote = {},
doi = {10.1002/2017JD026613},
journal = {Journal of Geophysical Research: Atmospheres},
number = ,
volume = ,
place = {United States},
year = 2017,
month = 8
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1002/2017JD026613

Citation Metrics:
Cited by: 1work
Citation information provided by
Web of Science

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