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

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.