遇见数据集

High-resolution (250 m) historical and future climate dataset for Bhutan downscaled from 16 CMIP6 general circulation models

收藏
Zenodo2026-06-02 更新2026-06-05 收录
官方服务:

资源简介:

This dataset provides high-resolution monthly climate data for Bhutan derived from 16 general circulation models (GCMs) of the Coupled Model Intercomparison Project Phase 6 (CMIP6) . The dataset was developed by downscaling historical and future climate simulations to a spatial resolution of 250 m using a modified delta change approach that combines GCM-derived climate change signals with a high-resolution observational climatology for Bhutan. The dataset includes four climate variables: precipitation (pr, mm/month), maximum temperature (tasmax, °C), minimum temperature (tasmin, °C), and vapour pressure (vp, kPa). Historical data cover the period 1980–2014, while future projections cover 2015–2100 under four shared socioeconomic pathway (SSP) scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. Data are provided as monthly GeoTIFF files in DRUKREF 03 / Bhutan National Grid (EPSG:5266). Files are organized by variable, climate scenario, and GCM to facilitate efficient data access and analysis. To reduce storage requirements while preserving precision, climate variables are stored as compressed 16-bit signed integer GeoTIFFs (INT2S). Original values can be recovered using the following scale factors: Precipitation (pr): divide stored values by 1 Maximum temperature (tasmax): divide stored values by 10 Minimum temperature (tasmin): divide stored values by 10 Vapour pressure (vp): divide stored values by 10 The dataset supports applications in climate change impact assessment, agriculture, biodiversity conservation, hydrology, ecological modelling, species distribution modelling, disaster risk assessment, and environmental planning.

本数据集提供不丹地区的高分辨率月度气候数据,其数据源自耦合模式比较计划第六阶段(CMIP6)的16个通用环流模式(GCM)。本数据集通过修正的增量变化法,将历史与未来气候模拟结果降尺度至250米的空间分辨率,该方法将GCM衍生的气候变化信号与不丹高分辨率观测气候数据集相结合。 本数据集包含四类气候变量:降水量(pr,mm/月)、最高气温(tasmax,℃)、最低气温(tasmin,℃)以及水汽压(vp,kPa)。历史数据的时间覆盖范围为1980–2014年,未来气候预估数据则涵盖2015–2100年,共包含四种共享社会经济路径(SSP)情景:SSP1-2.6、SSP2-4.5、SSP3-7.0及SSP5-8.5。 数据以DRUKREF 03 / 不丹国家网格(EPSG:5266)坐标系下的月度GeoTIFF文件形式提供。文件按变量、气候情景及GCM进行分类组织,以提升数据访问与分析的效率。 为在保留数据精度的前提下降低存储需求,所有气候变量均以压缩的16位有符号整型GeoTIFF(INT2S)格式存储。原始数值可通过以下缩放因子还原: 降水量(pr):将存储值除以1 最高气温(tasmax):将存储值除以10 最低气温(tasmin):将存储值除以10 水汽压(vp):将存储值除以10 本数据集可应用于气候变化影响评估、农业、生物多样性保护、水文学、生态建模、物种分布建模、灾害风险评估以及环境规划等诸多领域。

提供机构:
Zenodo
创建时间:
2026-06-02
二维码
社区交流群
二维码
科研交流群
商业服务