a Sagar gautam:
Hello, I M SAGAR

Research Scholar | Environmental Engineer | Computational Scientist

"I use computer simulation models and observation of environmental fluxes to assess the impacts of climate and land use change at field to global scale. My work brings together the knowledge of hydrology, biogeochemistry, climate and land use to understand the impacts on environmental flux and its feedback, process representation in the models and utilization of new genera of big data."

I use computer simulation models and observation of environmental fluxes to assess the impacts of climate and land use change at field to global scale. My work brings together the knowledge of hydrology, biogeochemistry, climate and land use to understand the impacts on environmental flux and its feedback, process representation in the models and utilization of new genera of big data.

I completed my BS in Agriculture at Banaras Hindu University in 2012. I completed my MS in Soil Physics at the South Dakota State University and Ph.D in Bioengineering at the University of Missouri in 2018. After completing my Ph.D, I worked as research scientist at Minnesota Pollution Control Agency, working with the EPA regulatory models to implement river and lake eutrophication standards for the state of Minnesota.

I am currently a Senior Member of Technical Staff at Sandia National Laboratory, where I am working on computer simulation models (process models, machine learning models and Earth system models) to improve representation of different ecosystem processes in models and impact assessment of land use and climate change.

  • 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

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    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)


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