Mesh Climate Change Data for Evaluating Climate Change Impacts in Japan under Gradually Increasing Atmospheric CO2 Concentration

Masayuki Yokozawa, Shinkichi Goto, Yousay Hayashi, Hiroshi Seino

研究成果: Article査読

30 被引用数 (Scopus)

抄録

General circulation models (GCMs) that can simulate global climate are used to predict climate changes caused by an increase in atmospheric cO2 concentration. However, the spatial resolutions of currently running models are rough with a resolution of about 3° to 6° in latitude/longitude. Thus, reducing the relatively large-scale climatic states that the GCM provides to smaller-scale ones is required to evaluate impacts of climate changes on agriculture and natural ecosystems at local and regional scales. We constructed a dataset, namely the mesh climate change data of Japan, using the inverse distance weighted interpolation against coupled atmosphere-ocean GCMs' (A-O GCMs) experiment results under gradually increasing atmospheric cO2 concentration. The A-O GCMs used in this article are ECHAM4/OPYC3 (Germany), CGCM1 (Canada), CSIRO-Mk2 (Australia), and CCSR/NIES (Japan). The dataset gives the average climate change scenarios in Japan for every 10-year period over the next 100 years with a resolution of 7.5' in longitude and 5' in latitude (approximately 10 by 10 km). This article describes the construction method and contents of the dataset. In order to demonstrate the characteristics of the dataset, we examined the transient changes in spatial distribution of accumulated surface air temperature, accumulated precipitation, and mean short wave radiation during the months of May through September, corresponding with the major crop cultivation period in Japan.

本文言語English
ページ(範囲)117-130
ページ数14
ジャーナルjournal of agricultural meteorology
59
2
DOI
出版ステータスPublished - 2003
外部発表はい

ASJC Scopus subject areas

  • 農業および作物学
  • 大気科学

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