NDLI: Comparison of regional climate scenario data by a spatial resolution for the impact assessment of the uncertainty associated with meteorological inputs data on crop yield simulations in Korea

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Comparison of regional climate scenario data by a spatial resolution for the impact assessment of the uncertainty associated with meteorological inputs data on crop yield simulations in Korea

Evaluation of regional climate scenario data for impact assessment of climate change on rice productivity in Korea

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Journal of Crop Science and Biotechnology : Volume 18, Issue 3, September 2015

Journal of Crop Science and Biotechnology : Volume 18, Issue 2, June 2015

Journal of Crop Science and Biotechnology : Volume 18, Issue 1, March 2015

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Journal of Crop Science and Biotechnology : Volume 16

Journal of Crop Science and Biotechnology : Volume 15

Journal of Crop Science and Biotechnology : Volume 14

Journal of Crop Science and Biotechnology : Volume 13

Journal of Crop Science and Biotechnology : Volume 12

Comparison of regional climate scenario data by a spatial resolution for the impact assessment of the uncertainty associated with meteorological inputs data on crop yield simulations in Korea

Content Provider	Springer Nature Link
Author	Kim, Kwang Soo Yoo, Byounghyun
Copyright Year	2015
Abstract	Uncertainty of crop yield simulation would be affected by weather input data prepared from different sources of climate datasets. Although regional climate data at a high spatial resolution would be useful for the impact assessment of climate change on crop production, little effort has been made to characterize the uncertainty associated with such climate data in terms of crop yield simulations. The objectives of this study were to compare climate scenario data products obtained from a series of downscaling processes and to identify an overall pattern of uncertainty in these climate data in terms of crop yield simulation. Regional climate scenario data from 2011 to 2014 had a spatiotemporal pattern of uncertainty, which differed by meteorological variables and spatial resolution. Overall, the uncertainty of daily minimum temperature was greater than that of maximum temperature. Daily minimum temperature also had relatively greater uncertainty in an early season of crop production, which could result in the cumulative impact on the uncertainty of crop yield simulations. For the uncertainty of climate data at different spatial resolution, climate data at higher spatial resolution, e.g. 1 km, tended to have lower uncertainty than data at resolution of 12.5 km did. Still, the uncertainty of regional climate data was relatively similar between data at resolution of 12.5 km and 1 km in major rice production areas in Korea except in areas near Seosan. This merits further studies to examine actual differences in projected crop yields using regional climate scenario data in the future and to assess the impact of uncertainty associated with regional climate data on crop yield simulation.
Starting Page	249
Ending Page	255
Page Count	7
File Format	PDF
ISSN	19759479
Journal	Journal of Crop Science and Biotechnology
Volume Number	18
Issue Number	4
e-ISSN	20058276
Language	English
Publisher	The Korean Society of Crop Science
Publisher Date	2016-01-09
Publisher Place	Suwon
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	crop yield simulation complex terrain downscaling spatial resolution uncertainty Plant Sciences Plant Genetics & Genomics Plant Pathology Plant Physiology Biotechnology
Content Type	Text
Resource Type	Article
Subject	Plant Science Biotechnology Agronomy and Crop Science

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