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 language | English |
|---|---|
| Pages (from-to) | 117-130 |
| Number of pages | 14 |
| Journal | Journal of Agricultural Meteorology |
| Volume | 59 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2003 |
| Externally published | Yes |
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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 journal › Article
}
TY - JOUR
T1 - Mesh Climate Change Data for Evaluating Climate Change Impacts in Japan under Gradually Increasing Atmospheric CO2 Concentration
AU - Yokosawa, Masayuki
AU - Goto, Shinkichi
AU - Hayashi, Yousay
AU - Seino, Hiroshi
PY - 2003
Y1 - 2003
N2 - 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.
AB - 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.
KW - Downscaling
KW - Global warming
KW - Mesh climate change data
KW - Transient climate change scenario
UR - http://www.scopus.com/inward/record.url?scp=1342266410&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=1342266410&partnerID=8YFLogxK
U2 - 10.2480/agrmet.59.117
DO - 10.2480/agrmet.59.117
M3 - Article
AN - SCOPUS:1342266410
VL - 59
SP - 117
EP - 130
JO - J. AGRICULTURAL METEOROLOGY
JF - J. AGRICULTURAL METEOROLOGY
SN - 0021-8588
IS - 2
ER -