Description:

A changing climate and growing population are leading to an increase in competition and demand for already limited water resources across the globe. These changing demands are creating a critical need for robust terrestrial water flux estimation, including the estimation of consumptive water use through evapotranspiration (ET) and atmospheric evaporative demand (Eo). Advances in the estimation of ET and Eo are made across a broad range of scales and techniques, from in-situ observations to remote sensing and modeling. Therefore, we seek specific topics including but not limited to: (1) estimating ET from various perspectives, including remote sensing platforms, ground-based point observations and parameterizations, plant-based experimentation, and water budgets; (2) operational ET estimation; (3) land surface-atmosphere feedbacks; (4) future remote-sensing missions and needs for ET; (5) Eo as an input to operational land-surface models to derive ET, and as a metric of hydoclimatic trends and variability. This year, in keeping with the AMS theme of “Data: Driving science. Informing Decisions. Enriching Humanity”, we are particularly seeking submissions related to the advancement of ET/Eo estimation through the utilization of unique datasets, novel machine learning and/or cloud computing methods, or innovative approaches designed to link research with applications.