PBL IMAGE 3.0 SSP scenarios — Group of land cover type, detailed (30 arcmin)

Image is an ecological-environmental model framework that simulates the environmental impact of human activities worldwide. It models the interactions between society, the biosphere and the climate system to evaluate sustainability issues such as climate change, biodiversity and quality of life. The IMAGE model (version 3.0, 2014) aims to explore the long-term dynamics and effects of global change resulting from the interaction between demographic, technological, economic, social, cultural and political factors. IMAGE 3.0 Image runs result in grid-level data with resolution of 30 by 30 arcminutes and 5 by 5 arcminutes for physical processes and in data at regional level with 26 regions for socio-economic data. Since version 3.0, the grid data is published in netcdf format via the KNMI data portal (KDC). This dataset is a grid dataset. The IMAGE indicators at grid level Eleven indicators are available: Annual precipitation, annual temperature, dryness index, biomass, fraction of land cover type, fraction of land cover type detailed, land cover, monthly rainfall, monthly temperature, net primary production (NPP) and population density. For each indicator, there is a data file per scenario. These data files can be viewed and downloaded. The SSP scenarios The first IMAGE 3.0 results are the SSP scenarios of the Shared Socioeconomic Pathways — SSP project. These are documented in the article: Energy, land-use and greenhouse gas emissions trajectories under a green growth paradigm. The data of the following scenarios are available via the KNMI portal: baseline (SSP2) and mitigation scenarios (SSP2_SPA0_RCP_1.9, SSP2_SPA2_RCP_2.6, SSP2_SPA2_RCP_3.4, SSP2_SPA2_RCP_4.5, SSP2_SPA2_RCP_6.0). SPA2 stands for fragmented and postponed policies, SPA0 stands for global uniform policy without delay, RCP stands for Representative Concentration Pathways. The results for the SSP1, SSP3, SSP4 and SSP5 scenarios are available on request. To do this, please contact the IMAGE team: [e-mail] Indicator — Group of land cover type, detailed (30 arcmin) This indicator shows the global fraction of land cover type: rain-fed crops, irrigated crops, rain-fed bioenergy crops, irrigated bioenergy crops, additional deforestation and protected areas for each land cell for the period 1970 to 2100 in increments of 5 years. Below you can download the entire indicator dataset as TAR file (in NetCDF 4.0 format) or per scenario as separate files (in.nc format). The data is available under CC-BY license. The IMAGE team would like to be involved in projects that use the data.IMAGE模型（IMAGE）是一款生态环境模型框架，用于模拟全球范围内人类活动对环境产生的影响。该模型通过刻画社会、生物圈与气候系统之间的相互作用，对气候变化、生物多样性、生活质量等可持续发展相关议题开展评估。IMAGE 3.0版本（2014年发布）旨在探究由人口、技术、经济、社会、文化及政治因素相互作用所引发的全球变化的长期动态与效应。 IMAGE 3.0 IMAGE模型的运行结果包含两类数据：针对物理过程的格点数据，分辨率为30角分×30角分与5角分×5角分；以及包含26个区域的社会经济数据的区域级数据。自3.0版本起，格点数据通过荷兰皇家气象研究所（KNMI）数据门户（KDC）以netCDF格式发布。本数据集属于格点数据集。 格点级IMAGE指标 本次共提供11项指标：年降水量、年平均气温、干燥度指数、生物量、土地覆被类型占比、细化土地覆被类型占比、土地覆被类型、月降水量、月平均气温、净初级生产力（NPP）以及人口密度。每项指标对应各情景的数据文件，用户可查看并下载这些文件。 共享社会经济路径（SSP）情景 IMAGE 3.0的首批结果来自共享社会经济路径（SSP）项目的SSP情景，相关研究已发表于论文《绿色增长范式下的能源、土地利用与温室气体排放轨迹》。通过KNMI数据门户可获取以下情景的数据：基准情景（SSP2）以及减缓情景（SSP2_SPA0_RCP_1.9、SSP2_SPA2_RCP_2.6、SSP2_SPA2_RCP_3.4、SSP2_SPA2_RCP_4.5、SSP2_SPA2_RCP_6.0）。其中SPA2代表碎片化且延迟实施的政策，SPA0代表无延迟的全球统一政策，RCP代表典型浓度路径（Representative Concentration Pathways）。SSP1、SSP3、SSP4及SSP5情景的结果需通过申请获取，申请人可联系IMAGE团队：[e-mail] 指标——细化土地覆被类型组（30角分） 该指标展示了1970年至2100年间（每5年为一个时间步长）全球每个陆地区块的土地覆被类型占比，涵盖雨养作物、灌溉作物、雨养生物能源作物、灌溉生物能源作物、额外砍伐林地以及保护区六大类型。用户可下载该指标数据集的完整TAR压缩包（格式为NetCDF 4.0），或按情景单独下载.nc格式的文件。 本数据集采用CC-BY许可协议进行发布。IMAGE团队期望参与使用该数据集的相关科研项目。