Dear Critical Zone Community,
The upcoming 2021 Geological Society of America annual meeting will be held in Portland, Oregon during October 10-13. The current form of the 2021 GSA meeting is in-person.
As you prepare your GSA abstracts, please consider submitting them to the session "T171. Data-Driven Approaches Deciphering Water and Carbon Cycles in Earth-Surface Systems". With this session, we look forward to fostering the discussions of the development and application of data-driven approaches to assess the interplay between water and carbon cycles in Earth-Surface systems, as well as to investigate the regulation of these cycles by human activities and natural processes. The detailed session description is listed below.
The abstract submission portal is accessible via this link: https://gsa.confex.com/gsa/2021AM/top/papers/index.cgi?sessionid=51562. The submission deadline is July 20, 2021.
All the best,
Tao Wen, Syracuse University
Shuang Zhang, Texas A&M University
Mingsong Li, Peking University
T171. Data-Driven Approaches Deciphering Water and Carbon Cycles in Earth-Surface Systems
Carbon and water cycles, particularly in terrestrial ecosystems, are closely coupled. Cycling of water and carbon is vital to all lives on earth. The persistent accumulation of carbon in the atmosphere drives global warming, which in turn profoundly impacts the patterns of hydrological cycles. The changes in the water cycle (e.g., increased or diminished availability of soil moisture), can also alter the efficacy of photosynthesis in green plants that is an important component in the carbon cycle. The presence of humans and our growing demand for food, energy, and clean water have unequivocally altered carbon and water cycles, and their interrelationships. The recent emergence of advanced data-driven analysis tools (e.g., machine learning and physics-informed deep learning), newly released large geoscience datasets (e.g., remote sensing, solute chemistry in surface water and groundwater), and improved access to powerful computational resources (e.g., Google Earth Engine and supercomputers) altogether provide valuable opportunities for researchers to assess the interplay between water and carbon cycles, as well as the regulation of these cycles by human activities and natural processes. This session welcomes submissions that utilize the data science to gain valuable insights in areas including but not limited to: 1) cross-disciplinary studies, e.g., the co-evolution of water and carbon cycles, adaptation to water stress and climate change in the past, present, and future; 2) hydrogeochemistry, e.g., studying the distribution, migration, transport, and cycling of geochemical substances in the critical zone and evaluating the impact from natural and anthropogenic factors; 3) soil and atmospheric science, and remote sensing, e.g., prediction of soil moisture using data-driven models; 4) theory and applications of statistical and clustering techniques to big datasets, and on geochemical and biogeochemical modeling at different scales, from molecular to global.