The training course will focus on the following aspects of land carbon modeling: · New theory on land carbon storage dynamics · Matrix approach to land carbon, nitrogen, and phosphorus modeling · Data assimilation system with both flux- and pool-based observations · Deep learning and machine learning to enhance process-based research · Ecological forecasting
In support of the AmeriFlux “Year of Water Fluxes”, and in collaboration with community representation from the U.S. Department of Energy’s Atmospheric Radiation Measurement (ARM) User Facility and Atmospheric System Research (ASR) program, we are pleased to announce the Open and Virtual Workshop, “Improving understanding of land-atmosphere interactions through integration of surface flux and atmospheric... More
