PNNL

Abstract

227 registered workshop participants gathered in person (43%) and online (57%) to discuss state-of-the-art scientific understanding and modeling of land-atmosphere interactions and related processes in the context of subseasonal-to-seasonal (S2S) predictability. Topics covered sources of S2S predictability, land initialization methods, diagnosis and evaluation metrics, AI/ML applications, and coordinated model experiments. To advance the science, this community workshop, organized by NSF NCAR, NOAA, NASA, and DOE, aimed to 1) identify process- and application-oriented metrics for assessing S2S prediction skills and 2) develop experimental protocols for coordinated experiments to understand and quantify the role of land-atmosphere interaction processes in S2S predictability.