Ensemble future climate daily data for Vellar river basin

This dataset comprises historical and projected climate variables, including precipitation, minimum temperature (Tmin), maximum temperature (Tmax), and reference evapotranspiration (ETo), developed to support climate change impact assessments, hydrological studies, and agro-climatological applications for Vellar river basin. The historical climate data represent observed or reanalysis-based records for the baseline period (1951–2024), while the future climate projections are derived from Coupled Model Intercomparison Project Phase 6 (CMIP6) General Circulation Models (GCMs). Future projections are provided under multiple Shared Socioeconomic Pathway (SSP) scenarios (e.g., SSP1-2.6, SSP2-4.5, SSP5-8.5) . Precipitation and temperature datasets were bias-corrected and downscaled to improve regional applicability. The reference evapotranspiration (ETo) was estimated using the Hargreaves–Samani method, employing temperature and other relevant climatic inputs. All variables are provided at a daily temporal scale, ensuring compatibility for integrated climate and impact analyses. The dataset is organized into clearly structured folders separating historical and future periods, with each variable stored in standard formats (.XLSX). This dataset is particularly useful for water resource planning, drought and climate extreme analysis, crop water requirement estimation, and climate vulnerability assessments.本数据集包含历史与预估气候变量，涵盖降水（precipitation）、最低气温（minimum temperature, Tmin）、最高气温（maximum temperature, Tmax）及参考蒸散量（reference evapotranspiration, ETo），旨在为韦拉尔（Vellar）河流域的气候变化影响评估、水文研究及农业气候学应用提供支撑。 历史气候数据为1951–2024年基准期的观测或再分析记录，而未来气候预估数据则源自耦合模式比较计划第六阶段（Coupled Model Intercomparison Project Phase 6, CMIP6）的全球环流模式（General Circulation Models, GCMs）。未来预估数据基于多种共享社会经济路径（Shared Socioeconomic Pathway, SSP）情景生成，例如SSP1-2.6、SSP2-4.5、SSP5-8.5。 降水与气温数据集已完成偏差校正与降尺度处理，以提升区域适用性。参考蒸散量（ETo）采用Hargreaves-Samani方法，结合气温及其他相关气候输入参数进行估算。所有变量均以日时间尺度提供，可兼容集成气候与影响分析工作。 本数据集通过结构清晰的文件夹分别存储历史与未来时段的数据，各变量均以标准格式（.XLSX）存储。该数据集可广泛应用于水资源规划、干旱与气候极端事件分析、作物需水量估算及气候脆弱性评估等场景。