Predicting Soil Organic Matter and Greenhouse Gas Emissions using State-of-art Biogeochemical and Machine Learning Models

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Event Details
  • Date/Time:
    • Thursday November 3, 2022
      11:00 am - 12:00 pm
  • Location: Hybrid seminar - Virtual & ES&T, L1205
  • Phone:
  • URL: Zoom
  • Email:
  • Fee(s):
    Free
  • Extras:
Contact

Dr. Jennifer Glass

Summaries

Summary Sentence: A seminar by Dr. Debjani Sihi, Earth and Atmospheric Sciences

Full Summary: No summary paragraph submitted.

Media
  • Debjani Sihi Debjani Sihi
    (image/jpeg)

The School of Earth and Atmospheric Sciences Presents Dr. Debjani Sihi, Emory University

Predicting Soil Organic Matter and Greenhouse Gas Emissions using State-of-art Biogeochemical and Machine Learning Models

I am a biogeochemist and ecosystem ecologist with a broad research interest in soil organic matter dynamics and greenhouse gas emissions from natural and managed ecosystems. The fate of land-atmosphere exchange of CO2, CH4, and N2O remains uncertain under current and future climate, partly due to our limited understanding of belowground processes. I address these critical knowledge gaps by coupling subsurface soil process measurements with surface chamber fluxes and landscape-scale fluxes to allow the scaling-up of process-based (and data-driven) models and soil-flux measurements to the ecosystem scale.

In this talk, I will explore existing theories of biology, physics, chemistry, and mathematics to advance understanding and prediction of biogeochemical feedbacks in terrestrial systems using case studies ranging from the tropics to sub-boreal ecosystems.

Additional Information

In Campus Calendar
Yes
Groups

EAS

Invited Audience
Faculty/Staff, Postdoc, Graduate students, Undergraduate students
Categories
Seminar/Lecture/Colloquium
Keywords
EAS Seminar
Status
  • Created By: nlawson3
  • Workflow Status: Published
  • Created On: May 19, 2022 - 7:18am
  • Last Updated: Oct 14, 2022 - 2:17pm