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

Masayuki Yokosawa, Shinkichi Goto, Yousay Hayashi, Hiroshi Seino

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)117-130
Number of pages14
JournalJournal of Agricultural Meteorology
Volume59
Issue number2
DOIs
Publication statusPublished - 2003
Externally publishedYes

Fingerprint

general circulation model
climate change
Japan
General Circulation Models
oceans
longitude
atmosphere
ocean
construction method
surface temperature
interpolation
global climate
air temperature
spatial resolution
Germany
spatial distribution
Canada
agriculture
climate
crop

Keywords

  • Downscaling
  • Global warming
  • Mesh climate change data
  • Transient climate change scenario

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Atmospheric Science

Cite this

Mesh Climate Change Data for Evaluating Climate Change Impacts in Japan under Gradually Increasing Atmospheric CO2 Concentration. / Yokosawa, Masayuki; Goto, Shinkichi; Hayashi, Yousay; Seino, Hiroshi.

In: Journal of Agricultural Meteorology, Vol. 59, No. 2, 2003, p. 117-130.

Research output: Contribution to journalArticle

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