Effects of meteorological and land surface modeling uncertainty on errors in winegrape ET calculated with SIMS.

ABSTRACT: Characterization of model errors is important when applying satellite-driven evapotranspiration (ET) models to water resource management problems. This study examines how uncertainty in meteorological forcing data and land surface modeling propagate through to errors in final ET data calculated using the Satellite Irrigation Management Support (SIMS) model, a computationally efficient ET model driven with satellite surface reflectance values. The model is applied to three instrumented winegrape vineyards over the 2017-2020 time period and the spatial and temporal variation in errors are analyzed. We illustrate how meteorological data inputs can introduce biases that vary in space and at seasonal timescales, but that can persist from year to year. We also observe that errors in SIMS estimat

SUBMITTER: Doherty CT 

PROVIDER: S-EPMC9509309 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature