Input data for Improved Regional Scale Dynamic Evapotranspiration Estimation Under Changing Vegetation and Climate

Vegetation change can significantly alter evapotranspiration (ET), an important component of the terrestrial water balance, and consequently influences other hydrological processes. With no direct measurement techniques available at large spatial scales, the accurate estimation of ET under changing forest landscapes and climate is challenging. In this study, we used an improved method based on Fuh’s equation (a functional form of the Budyko framework) to investigate ET responses to cumulative forest disturbance and climate in the snow-dominated interior of British Columbia, Canada. First, we divided the study region into three distinct climate groups, and then related the watershed parameter m in Fuh’s equation to vegetation change and watershed properties, with independent calibration and validation watersheds. The validated relationships were used to examine regional ET variations (~380,000 km2). These datasets include the input calibration and validation data by watershed and by 10km x 10km gridcell used to carry out the regional trend analysis. Input data includes: watershed name, calibration/validation indicator, climate group (wet, moderate, or dry), number of years averaged, average year in group, forest disturbance indicator - cumulative clearcut area (CECA), annual precipitation (mm), potential evapotranspiration (mm), mean annual streamflow (mm), and watershed property parameter from Fuh’s equation m. Results from this analysis are published in the article "Improved Regional Scale Dynamic Evapotranspiration Estimation Under Changing Vegetation and Climate" in Water Resources Research.

植被变化可显著改变蒸散发（evapotranspiration, ET）——陆地水平衡的核心组成部分，并进而影响其他水文过程。由于大空间尺度下缺乏直接测量技术，在森林景观与气候动态变化的背景下精准估算ET颇具挑战。本研究基于Fuh方程（布迪科框架的一种函数形式）提出改进方法，针对加拿大不列颠哥伦比亚省内陆积雪主导区域，探究ET对森林累积扰动与气候的响应。首先，将研究区划分为三个独立气候组；随后借助独立的率定与验证流域，将Fuh方程中的流域参数m与植被变化及流域属性建立关联。经验证的关联关系被用于分析研究区（约38万平方千米）的ET时空变化。本数据集包含用于区域趋势分析的两类输入数据：按流域划分的率定与验证数据，以及按10千米×10千米网格单元划分的对应数据。输入数据涵盖：流域名称、率定/验证标识、气候组（湿润、中等或干旱）、平均年数、组内平均年份、森林扰动指标——累积皆伐面积（cumulative clearcut area, CECA）、年降水量（单位：毫米）、潜在蒸散发量（单位：毫米）、多年平均径流量（单位：毫米），以及Fuh方程中的流域属性参数m。本分析的相关成果已发表于《Water Resources Research》期刊的论文《Improved Regional Scale Dynamic Evapotranspiration Estimation Under Changing Vegetation and Climate》中。