Opportunities

Dear colleagues,

Does your research touch on greenhouse gas emissions? We are soliciting abstracts for the AGU Annual Meeting session GC096- Showcasing methodologies and datasets for tracking greenhouse gas emissions: a dialogue between fields. We are particularly interested in creating a program that highlights notable datasets and methodologies that cross-cut between the atmospheric sciences and other fields. Examples might include modeling techniques that can connect spatial or temporal scales, emissions datasets/inventories that can be used as priors for inverse modeling, instrument development, and computational techniques.

Session description:

Growth rates of carbon dioxide, methane, and nitrous oxide are at or near record highs. Measurement techniques, datasets, and modeling approaches for quantifying greenhouse gas emissions are rapidly proliferating. This session seeks to bring together researchers from the atmospheric sciences and fields specific to emissions sectors (e.g. ecology, biogeochemistry, oceanography, hydrology, energy resources, atmosphere/surface remote sensing, global change, machine learning) to find synergy in methodology and bring together disparate datasets. The primary goal will be to connect a community of practitioners to measurements, models, or inventories that complement their own work. A secondary goal will be to brainstorm ways to facilitate integrative science, for example, validating models when measurements are at vastly different spatial scales, or making use of tools developed for a different discipline. Presentations will showcase outstanding tools and products in their field for which they see interdisciplinary potential.

Sincerely,

Ethan Kyzivat (Harvard University) and Wu Sun (Carnegie Institution)