Research Grants Awarded as Principal Investigator at PSU

    1. Flow-Dependent Optimization of the Observation Performance in NASA GEOS Hybrid 4D-EnVar ADAS
      NASA - Weather and Atmospheric Dynamics, 2023 - 2026

    2. Robust and Efficient Adaptive Covariance Tuning for Hybrid Ensemble-Variational Atmospheric Data Assimilation
      Naval Research Laboratory, 2019 - 2022

    3. Error Covariance Diagnosis and Impact Estimation in NASA GEOS DAS
      NASA - Modeling, Analysis, and Prediction Program, 2013 - 2017

    4. Adaptive Optimization of Parametric Error Covariance Models in Variational Data Assimilation
      Naval Research Laboratory, 2013 - 2016

    5. Collaborative Research: A Computational Framework for Assessing the Observation Impact in Air Quality Forecasting
      NSF Division of Mathematical Sciences, Program in Computational Mathematics, 2009 - 2013

    6. Adjoint-based Data Assimilation System Sensitivity, Diagnostics, and Estimation of Input Error Statistics
      Naval Research Laboratory, 2010 - 2012

    7. Optimization of the Information Error Statistics in Multi-Sensor Atmospheric Data Assimilation
      2011 NASA Earth and Space Science Fellowship Program 2011 - 2012

    8. Development of a new methodology for adaptive observations in the framework of four-dimensional variational data assimilation
      NASA - Modeling, Analysis, and Prediction Program, 2005-2009

    9. High Performance Computing in Applied Mathematics at PSU
      2006 Intel Oregon Faculty Fellowship

    Research Grants Awarded as Co-Principal Investigator at PSU

    1. Cyber-Enabled Ensemble Data Assimilation for Drought Monitoring, Forecasting and Recovery
      NSF Office of Multidisciplinary AC, CyberSEES, Applied Mathematics 2015-2018
      PI: Hamid Moradkhani, Co-PI: Karen Karavanic, Portland State University

    2. Collaborative Research: IPY, the Next Generation: A Community Ice Sheet Model for
      scientists and educators with demonstration experiments in the Amundsen Sea Embayment
      NSF International Polar Year Program 2007-2008
      PI C. Hulbe, Portland State University

    3. CMG Collaborative Research: Ensemble data assimilation based on control theory
      NSF Collaborations in Mathematical Geosciences Program, 2003-2006
      PI I.M. Navon, Florida State University



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