ABOUT ME

With academic training in agriculture, soil physics, and environmental engineering, I bring a multidisciplinary approach to solving complex environmental problems. I currently serve as a Senior Member of Technical Staff at Sandia National Laboratories, where I develop and apply computational models to simulate ecosystem dynamics, greenhouse gas fluxes, and land-climate interactions.

EDUCATION

PUBLICATIONS

Gautam, S. et al. (2024). "Big Data Integration for Sustainable Agriculture Modeling." Environmental Modelling & Software. [DOI]
Gautam, S. et al. (2023). "Machine Learning for Soil Organic Carbon Estimation at Scale." Soil Science Society of America Journal. [DOI]
Gautam, S. et al. (2022). "Modeling GHG Emissions from Agricultural Systems." GCB Bioenergy. [DOI]

View Full List on Google Scholar

RESEARCH TOPICS

Quantifying the environmental impacts of biomass removal on soil carbon and water cycle using field observations and agro-ecosystem model (DAYCENT)

Application of machine learning models to predict spatial heterogeneity of surface soil organic carbon stocks and crop yields

Assessing the soil carbon release under future warming in continental USA using ML and Earth system models

Representation of bioenergy crop in land model of Earth system model

Research to improve the methodology on implementation of lake and river eutrophication standards

Hydrologic modeling (field and watershed scale)

GCM downscaling and bias-correction (focus on statistical downscaling)

Drought analysis (meteorological, hydrological and agricultural droughts)

SAGAR GAUTAM

Research Scholar

contact me: Send email

Email: sgautam@sandia.gov

Senior Member of Technical Staff, Sandia National Laboratory, CA

DOWNLOAD MY RESUME

Quantifying the impacts of land use and climate change on soil carbon, water and nutirent cycle using simulation models (process, machine learning and Earth system models)

Sandia National Laboratory

Funding agency: Department of Energy (DOE)

Large scale prediction of GHG emissions from agricultural soil

Argonne National Laboratory

Funding agency: Department of Energy (DOE)

Methodological advancement on implementation of lake and river eutrophication standards to prevent the eutrophication of the lake and river located in the state of Minnesota

Minnesota Pollution Control Agency

Funding agency: State of Minnesota

Evaluation of hydrological and crop productivity changes at the watershed-scale given downscaled ESMs output

University of Missouri

Funding agency: United State Department of Agriculture (USDA)

Environmental Research Scientist | Systems Modeler | Data Enthusiast

"I specialize in leveraging simulation models and environmental data to evaluate the impacts of land use and climate change. My work integrates hydrology, biogeochemistry, climate science, and data analytics to inform sustainable ecosystem and policy solutions."