Data ⁄ Tools
AIM/SLCP (Scenario Lookup by Coalition for Protecting environment) is a simplified assessment tool which we search and examine scenarios to solve climate change issues and air pollutant issues simultaneously, focusing on Asia and the World, by evaluating emissions reductions of Long-Lived Greenhouse Gases (GHGs), Short-Lived Climate Pollutants (SLCPs) and air pollutants due to implementing several key mitigation measures, and consequently evaluating environmental impact changes.
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AIM-SSP/RCP Gridded Emissions and Land-use data
Downscaled SSP/RCP emissions and land-use data which are aggregated from regionally aggregated information. The downscaling methods are described in Fujimori et al. 2017 and Hasegawa et al. 2017
Fujimori S., Abe M., Kinoshita T., Hasegawa T., Kawase H., Kushida K., Masui T., Oka K., Shiogama H., Takahashi K., Tatebe H. , Yoshikawa M., PLOS ONE, 12 (1), e0169733-e0169733.(2017) "Downscaling Global Emissions and Its Implications Derived from Climate Model Experiments."
Hasegawa T., Fujimori S., Ito A., Takahashi K., Masui T., Science of The Total Environment , 580, 787-796.(2017) "Global land-use allocation model linked to an integrated assessment model."
IPCC SRES Scenario Database
This database was developed for IPCC Special Report on Emission Scenarios. The main sources of data are from the International Energy Workshop Poll, Energy Modeling Forum, and previous database for IPCC Supplement Report as well as direct individual contact.
Rana A.,Morita T., Environ.Econ.Policy Stud. ,3(2) 267-289(2000) "Scenarios for greenhouse gas emission mitigation: a review of modeling of strategies and policies in integrated assessment models"
IPCC-SRES Storyline Using the AIM/Emission-Linkage Model
To contribute to the IPCC SRES scenario quantification, AIM project team has constructed AIM/EMISSION-LINKAGE MODEL and used the model to produce IPCC SRES scenario quantification. The model was selected to be the A1B marker. Other scenarios were also quantified by the model. Detailed information is presented in a MS-WORD document and the results are saved in a EXCEL file. Click the line below (sres_aim.zip), and you will download one ZIP-ed file which archives the two files in it.
Jiang K.,Morita T.,Masui T.,Matsuoka Y., Environ.Econ.Policy Stud., 3(2) 239-254(2000) "Global long-term greenhouse gas mitigation emission scenarios based on AIM"
AIM/Enduse is a technology selection framework for analysis of policies related to greenhouse gas emissions mitigation and local air pollution control. It can also assist in energy policy analysis. It simulates flows of energy and materials in an economy, from supply of primary energy and materials, through conversion and supply of secondary energy and materials, to satisfaction of enduse services. AIM/Enduse models these flows of energy and materials through detailed representation of technologies. The model was distributed at the APEIS Capacity Building Workshop at Delhi, 2002. You will find it at APEIS Capacity Building page (http://www-iam.nies.go.jp/aim/india0210/index.html).
G.Hibino, R.Pandey, Y.Matsuoka, M.Kainuma, Climate Policy Assessment : Asia-Pacific Integrated Modeling, Springer, 2002 "A Guide to AIM/Enduse Model"
The model is developed for assessing the future environmental loads based on the past socio-economic trends. AIM/Trend model is built as a simple econometric model and written in ATPL (AIM/Trend Program Language) using VBA in Microsoft Excel. The user can change the model structure and make sensitivity analysis. Results of AIM/Trend model are used as Asia-Pacific scenario in UNEP/GEO-3.
J.Fujino, S.Matsui, Y.Matsuoka, M. Kainuma, Climate Policy Assessment : Asia-Pacific Integrated Modeling, Chapter 13.Springer, 2002 "AIM/Trend: Policy Interface" (PDF/316KB)
- AIM/Trend Model: A User's Manual (PDF/359KB)
- AIM/Trend Addin Manual (PDF/394KB)
- Zipped file of AIM Trend Program (ZIP/9,245KB)
AIM/Energy Snapshot Tool
The AIM/Energy Snapshot Tool is an accounting tool to calculate the energy balance table and the CO2 emission table immediately with keeping consistency among sectors, by giving service demand, share of energy and energy improvement by classification of service and energy in the base year and the target year.
Geographical Distribution Dataset
1. RCP6 data
- Crop (NC file/569MB)
- GDP total (NC file/569MB)
- Population rural (NC file/569MB)
- Population total (NC file/569MB)