Earth Scientist
Earth Scientist


Gautam Bisht has extensive research experience in developing robust global terrestrial biophysical models that efficiently use high-performance computing. He is the principal investigator of the U.S. Department of Energy (DOE) Scientific Discovery through Advanced Computing project that is developing a terrestrial dynamical core for the Energy Exascale Earth System Model. Gautam also is a co-principal investigator of the Land Climate Process Team project, jointly funded by the National Science Foundation, National Oceanic and Atmospheric Administration, and DOE; its purpose is to improve land–atmosphere interactions by explicitly accounting for topographic attributes on the surface radiation budget. 

Research Interest

  • Subsurface hydrologic and thermal processes
  • Land-atmosphere interactions
  • High-performance computing

Disciplines and Skills

  • Earth system models
  • Ecohydrology
  • Hydrology
  • Numerical simulation


  • PhD in Civil and Environmental Engineering, Massachusetts Institute of Technology, 2010
  • MS in Civil and Environmental Engineering, University of Cincinnati, 2004
  • B Tech at Indian Institute of Technology, Kanpur, 2002

Affiliations and Professional Service

  • American Geophysical Union

Awards and Recognitions

  • ACME Outstanding Contribution, Department of Energy (2015)
  • Martin Family Foundation Fellowship, Massachusetts Institute of Technology (2006) 



  • Zhu B, M Huang, Y Cheng, X Xie, Y Liu, X Zhang, G Bisht, X Chen, J Missik, and H Liu. 2020. “Effects of irrigation on water, carbon, and nitrogen budgets in a semiarid watershed in the Pacific Northwest: A modelling study”. Journal of Advances in Modeling Earth Systems. p.e2019MS001953.


  • Bisht G and WJ Riley. 2019. “Development and verification of a numerical library for solv-ing global terrestrial multiphysics problems.” Journal of Advances in Modeling Earth Systems, 11.
  • Lawrence DM, RA Fisher, CD Koven, K Oleson, SC Swenson, G Bonan, N Collier, et al. 2019. "The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty." Journal of Advances in Modeling Earth Systems 11, no. 12:4245-4287. PNNL-SA-150848. doi:10.1029/2018MS001583
  • Cai X, WJ Riley, Q Zhu, J Tang, Z Zeng, G Bisht, and JT Randerson. 2019. “Improving Representation of Deforestation Effects on Evapotranspiration in the E3SM Land Model.” J. Adv. Model. Earth Syst., 11, 2412– 2427.
  • Zhu Q, WJ Riley, J Tang, N Collier, FM Hoffman, X Yang, and G Bisht. 2019. “Representing nitrogen, phosphorus, and carbon interactions in the E3SM land model: Devel-opment and global benchmarking.” Journal of Advances in Modeling Earth Systems, 11, 2238– 2258.
  • Golaz JC, PM Caldwell, LP Van Roekel, MR Petersen, Q Tang, JD Wolfe, et al 2019. “The DOE E3SM coupled model version 1: Overview and evaluation at standard resolution.” Journal of Advances in Modeling Earth Systems, 11.


  • Bisht G, WJ Riley, GE Hammond, and DM Lorenzetti. 2018. “Development and evaluation of a variably saturated flow model in the global E3SM Land Model (ELM) version 1.0, Geosci. Model Dev.,” 11, 4085-4102,
  • Bisht G, WJ Riley, HM Wainwright, B Dafflon, F Yuan, and VE Romanovsky. 2018. “Impacts of microtopographic snow redistribution and lateral subsurface processes on hydro-logic and thermal states in an Arctic polygonal ground ecosystem: a case study using ELM-3D v1.0.” Geosci. Model Dev., 11, 61-76,


  • Bisht G, M Huang, T Zhou, X Chen, H Dai, GE Hammond, WJ Riley, JL Downs, Y Liu, and JM Zachara. 2017. “Coupling a three-dimensional subsurface flow and transport model with a land surface model to simulate stream–aquifer–land interactions (CP v1.0).” Ge-osci. Model Dev., 10, 4539-4562,


  • Kumar J, N Collier, G Bisht, RT Mills, PE Thornton, CM Iversen, and V Romanovsky. 2016. "Modeling the spatiotemporal variability in subsurface thermal regimes across a low-relief polygonal tundra landscape." The Cryosphere, 10, 2241–2274; DOI: 10.5194/tc-10-2241-2016.
  • Tang G, F Yuan, G Bisht, GE Hammond, PC Lichtner, J Kumar, RT Mills, X Xu, B Andre, FM Hoffman, SL Painter, and PE Thornton. 2016. “Addressing numerical challenges in introducing a reactive transport code into a land surface model: a biogeochemical modeling proof-ofconcept with CLM-PFLOTRAN 1.0.” Geosci. Model Dev., 9, 927–946; DOI: 10.5194/gmd-9-927- 2016.
  • Liu Y, G Bisht, ZM Subin, WJ Riley, and GSH Pau. 2016 “A hybrid reduced-order model of fineresolution hydrologic simulations at a polygonal tundra site.” Vadose Zone Journal, 15; DOI: 10.2136/vzj2015.05.0068.


  • Pau GSH, G Bisht, and WJ Riley. 2014. "A reduced-order modeling approach to represent subgridscale hydrological dynamics for land-surface simulations: application in a polygonal tundra landscape." Geosci. Model Dev., 7, 2091–2105; DOI: 10.5194/gmd-7-2091-2014.


  • Bisht G and RL Bras. 2011. "Estimation of net radiation from the moderate resolution imaging spectroradiometer over the continental United States." IEEE Transactions on Geoscience and Remote Sensing, 49, 2448–2462; DOI: 10.1109/TGRS.2010.2096227.
  • Knox R, G Bisht, J Wang, and R Bras. 2011. "Precipitation variability over the forest-to-nonforest transition in Southwestern Amazonia." Journal of Climate, 24, 2368–2377; DOI: 10.1175/2010jcli3815.1.


  • Bisht G and RL Bras. 2010. "Estimation of net radiation from the MODIS data under all sky conditions: Southern Great Plains case study." Remote Sensing of Environment, 114, 1522–1534; DOI: 10.1016/j.rse.2010.02.007.


  • Wang J, FJF Changnon, ER Williams, AK Betts, NO Renno, LAT Machado, G Bisht, R Knox, and RL Bras. 2009. "The impact of deforestation in the Amazon basin on cloud climatology." PNAS, 106, 3670–3674. DOI: 10.1073/pnas.0810156106.


  • Vivoni ER, AJ Rinehart, LA Méndez-Barroso, CA Aragón, G Bisht, MG Cardenas, E Engle, BA Forman, MD Frisbee, HA Gutiérrez-Jurado, S-H Hong, TH Mahmood, K Tai, and RL Wyckoff. 2008. "Vegetation controls on soil moisture distribution in the Valles Caldera, New Mexico, during the North American monsoon." Ecohydrology, 1, 225–238; DOI: 10.1002/eco.11.


  • Batra N, S Islam, V Venturini, G Bisht, and L Jiang. 2006. "Estimation and comparison of evapotranspiration from MODIS and AVHRR sensors for clear sky days over the Southern Great Plains." Remote Sensing of Environment, 103, 1–15; DOI: 10.1016/j.rse.2006.02.019.


  • Bisht G, V Venturini, S Islam, and L Jiang. 2005. "Estimation of the net radiation using MODIS (Moderate Resolution Imaging Spectroradiometer) data for clear sky days." Remote Sensing of Environment, 97, 52–67; DOI: 10.1016/j.rse.2005.03.014.