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.