Pan-GLASS 2026
Pan-GLASS 2026 will bring together experts on earth system, weather, and climate research, soil and vegetation processes, surface fluxes, planetary boundary layer transport processes, clouds and precipitation, and machine learning. At the conference, observationalists, theoreticians, and modelers will join to discuss the key issues of land-atmosphere science. The program will include all aspects and methods of modeling and observing land-atmosphere interactions across different temporal-spatial scales: e.g., from diurnal to decadal; from ground-based measurements to satellite data; from large-eddy simulations to global earth system models. The topical areas will cover a wide spectrum from process understanding to parameterization development such as surface fluxes and their driving variables, the effects of land surface heterogeneity, evapotranspiration and entrainment, cloud and precipitation feedbacks; advanced observations including data processing and quality control; and idealized modeling to operational forecasting from subseasonal to seasonal, and prediction from seasonal to decadal and century and even longer timescales. The key objectives of this conference are to connect the land-atmosphere interactions community as well as to achieve progress in the understanding and modeling of the land-atmosphere system, to coordinate current international initiatives and make plans for the future.
