1. A Multi-Model Ensemble Kalman Filter for Data Assimilation and Forecasting
    Bach, Eviatar, and Ghil, Michael
  2. Deep Learning-Enhanced Ensemble-Based Data Assimilation for High-Dimensional Nonlinear Dynamical Systems
    Chattopadhyay, Ashesh, Nabizadeh, Ebrahim,  Bach, Eviatar, and Hassanzadeh, Pedram


  1. Towards physics-inspired data-driven weather forecasting: integrating data assimilation with a deep spatial-transformer-based U-NET in a case study with ERA5
    Chattopadhyay, Ashesh, Mustafa, Mustafa, Hassanzadeh, PedramBach, Eviatar, and Kashinath, Karthik
    Geoscientific Model Development Mar 2022
  2. Impacts of 319 wind farms on surface temperature and vegetation in the United States
    Qin, Yingzuo, Li, Yan, Xu, Ru, Hou, Chengcheng, Armstrong, Alona,  Bach, Eviatar, Wang, Yang, and Fu, Bojie
    Environmental Research Letters Feb 2022


  1. Ensemble Oscillation Correction (EnOC): Leveraging Oscillatory Modes to Improve Forecasts of Chaotic Systems
    Bach, EviatarMote, Safa, Krishnamurthy, V., Sharma, A. Surjalal, Ghil, Michael, and Kalnay, Eugenia
    Journal of Climate Jul 2021
  2. parasweep: A template-based utility for generating, dispatching, and post-processing of parameter sweeps
    Bach, Eviatar
    SoftwareX Jan 2021


  1. Local Atmosphere–Ocean Predictability: Dynamical Origins, Lead Times, and Seasonality
    Bach, EviatarMotesharrei, SafaKalnay, Eugenia, and Ruiz-Barradas, Alfredo
    Journal of Climate Oct 2019


  1. How sensitive are mountain glaciers to climate change? Insights from a block model
    Bach, Eviatar, Radić, Valentina, and Schoof, Christian
    Journal of Glaciology Apr 2018
  2. Climate model shows large-scale wind and solar farms in the Sahara increase rain and vegetation
    Li, YanKalnay, EugeniaMotesharrei, Safa, Rivas, Jorge, Kucharski, Fred, Kirk-Davidoff, Daniel,  Bach, Eviatar, and Zeng, Ning
    Science Sep 2018