青藏高原未来气候预估数据（2030-2050）

本数据集针对青藏高原地区未来2030-2050年的气候变化特征，提供了多变量、高分辨率的气候情景预估数据。以中国科学院区域气候-环境重点实验室研制的区域环境集成系统模式（RIEMS 2.0）为基础，采用中国科学院资源与环境数据中心提供的2005年高分辨率植被类型数据和北京师范大学提供的中国土壤质地数据，对区域气候模式中土壤水力热力参数方案进行筛选，以及对USGS提供的月植被覆盖度资料进行模式本地化，建成青藏高原对流解析区域气候模式。数据集涵盖SSP245（中等温室气体排放路径）和SSP585（高排放路径）两种典型共享社会经济路径，旨在支持区域气候变化影响评估及适应策略研究。青藏高原作为“亚洲水塔”和全球气候敏感区，其气候预估数据对下游水资源管理、生态系统保护及灾害风险防控具有重要价值。本数据集可为科研机构、政府部门提供基础数据支撑，服务于气候模型验证、区域可持续发展规划及碳中和路径设计。

This dataset provides multi-variable, high-resolution climate scenario projection data for the climate change characteristics of the Qinghai-Tibet Plateau during 2030-2050. Built upon the Regional Integrated Environmental Model System (RIEMS 2.0) developed by the Key Laboratory of Regional Climate and Environment of the Chinese Academy of Sciences, the convection-permitting regional climate model for the Qinghai-Tibet Plateau was constructed by screening soil hydrothermal parameter schemes in the regional climate model and localizing the monthly vegetation coverage data provided by the USGS, using 2005 high-resolution vegetation type data from the Resource and Environment Data Center of the Chinese Academy of Sciences and soil texture data of China provided by Beijing Normal University. The dataset covers two typical Shared Socioeconomic Pathways (SSPs): SSP245 (medium greenhouse gas emission pathway) and SSP585 (high-emission pathway), aiming to support regional climate change impact assessment and adaptation strategy research. As the "Asian Water Tower" and a globally climate-sensitive region, the Qinghai-Tibet Plateau's climate projection data holds significant value for downstream water resources management, ecosystem conservation, and disaster risk prevention and control. This dataset can provide basic data support for scientific research institutions and government departments, and serve applications including climate model validation, regional sustainable development planning, and carbon neutrality path design.