Adam Schneider

Image of Adam Schneider


Reanalysis and Reforecast Associate Scientist


Modeling and Data Assimilation




(720) 248-7291


Dr. Schneider earned graduate degrees in Atmospheric, Oceanic and Space Sciences from the University of Michigan and received postdoctoral training in Earth System Science from the University of California, Irvine. His research has involved development of snow radiative transfer models and an instrument designed to infer snow grain size from bidirectional reflectance measurements. He also designed the firn layering implementation and density parameterization in the United States Department of Energy (DOE) Energy Exascale Earth System Model and has conducted evaluations of cryosphere-climate processes in Earth system models and in reanalysis data sets. He currently works on production and evaluation of a coupled Unified Forecast System reanalysis and initial conditions for "reforecasts," which enable diagnostic verification and model calibration.

Research Interests

  • Earth system models
  • reanalysis
  • snow


Selected Publications

  • Schneider, A., Flanner, M., & Perket, J. (2018). Multidecadal variability in surface albedo feedback across CMIP5 models. Geophysical Research Letters, 45, 1972–1980.
  • Smith, B. E., Gardner, A., Schneider, A., & Flanner, M. (2018). Modeling biases in laser- altimetry measurements caused by scattering of green light in snow. Remote Sensing of Environment, 215, 398–410.
  • Schneider, A., Flanner, M., De Roo, R., & Adolph, A. (2019). Monitoring of snow surface near- infrared bidirectional reflectance factors with added light-absorbing particles. The Cryosphere, 13(6), 1753–1766.
  • Schneider, A. M., Zender, C. S., & Price, S. F. (2022). More realistic intermediate depth dry firn densification in the Energy Exascale Earth System Model (E3SM). Journal of Advances in Modeling Earth Systems, 14, e2021MS002542.
  • Schneider, A., Zender, C., Loeb, N., & Price, S. (2023). Use of shallow ice core measurements to evaluate and constrain 1980–1990 global reanalyses of ice sheet precipitation rates. Geophysical Research Letters, 50, e2023GL103943.