Contributions of different bias‐correction methods and reference meteorological forcing data sets to uncertainty in projected temperature and precipitation extremes-Reference-Cited by-同舟云学术

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

Published:2017-08-05 Issue:15 Volume:122 Page:7800-7819
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Iizumi Toshichika¹^ORCID,Takikawa Hiroki²,Hirabayashi Yukiko³^ORCID,Hanasaki Naota⁴^ORCID,Nishimori Motoki¹

Affiliation:

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

Funder

National Science Foundation

U.S. Department of Energy

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2017JD026613

Reference62 articles.

1. Global observed long-term changes in temperature and precipitation extremes: A review of progress and limitations in IPCC assessments and beyond

2. Global observed changes in daily climate extremes of temperature and precipitation

3. Choice of baseline climate data impacts projected species' responses to climate change

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