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Publications

Published

 

  • M Zarekarizi. "Ensemble Data Assimilation for Flood Forecasting in Operational Settings: From Noah-MP to WRF-Hydro and the National Water Model". 2018. Dissertations and Theses. Paper 4651.
    https://pdxscholar.library.pdx.edu/open_access_etds/4651 

 

 

 

 

  • H Yan, M Zarekarizi, H Moradkhani. "Toward improving drought monitoring using the remotely sensed soil moisture assimilation: A parallel particle filtering framework" Remote Sensing of Environment. 2018. doi: https://doi.org/10.1016/j.rse.2018.07.017

 

  • M Zarekarizi, A Rana, H Moradkhani. “Precipitation extremes and their relation to climatic indices in the Pacific Northwest USA” Climate Dynamics. 2017. doi: 10.1007/s00382-017-3888-2

 

  • H Yan, H Moradkhani, M Zarekarizi. “A Probabilistic Drought Forecasting Framework: A Combined Dynamical and Statis-tical Approach” Journal of Hydrology. 2017

 

  • A Ahmadalipour, H Moradkhani, H Yan, M Zarekarizi. "Remote Sensing of Drought: Vegetation, Soil Moisture, and Data Assimilation." Remote Sensing of Hydrological Extremes. Springer International Publishing, 2017. 121-149

 

Posters

 

  • M Zarekarizi, H Moradkhani. “Enhanced National Water Model predictions based on ensemble data assimilation and high performance computing”. 2018 American Geophysical Union, Washington DC.

 

  • M Zarekarizi, H Moradkhani. “Towards Operational Probabilistic Drought Forecasting over the CONUS”. 2018 Water Policy Summit, University of Alabama, AL.

 

  • M Zarekarizi, H Moradkhani, H Yan. “An online tool for Operational Probabilistic Drought Forecasting System (OPDFS): a Statistical-Dynamical Framework”. 2017 AGU Fall meeting

 

  • B Ahmadi, M Zarekarizi, H Moradkhani. “Comprehensive Analysis of Drought Persistence, Hazard, and Recovery across the CONUS” 2017 AGU Fall Meeting

 

  • M Zarekarizi, A Rana, H Moradkhani. “Precipitation extremes and their relation to climatic indices in the Pacific Northwest, USA”. 2016. EGU General Assembly Conference Abstracts

 

  • M Zarekarizi, H Moradkhani. “Influence of Climate Change on Flood Hazard using Climate Informed Bayesian Hierarchical Model in Johnson Creek River”. 2015. AGU Fall Meeting

 

  • M Zarekarizi, SS Mousavi Nodushan, MRM Tabatabaee. “Comparison of Annual Maximum Flood (AMF) and Peaks Over Threshold (POT) approaches to design discharge estimation in Dez river”. 2012. 11th Iranian Hydraulic Conference

 

Talks

 

  • M Zarekarizi, H Moradkhani, H Yan, “PDMF: An online tool for Probabilistic Drought Monitoring and Forecasting across the CONUS based on satellite data assimilation”, on NASA Hyperwall, NASA Booth, AMS 2018

 

  • M Zarekarizi, H Moradkhani, H Yan, “An online tool for Probabilistic Drought Monitoring and Forecasting across the Contiguous United States based on satellite data assimilation”, on NASA Hyperwall, NASA Booth, AGU 2017

 

  • M Zarekarizi, H Moradkhani, H Yan, “A Near Real-time Probabilistic Drought Forecasting Framework”. 2016. AGU Fall Meeting

 

  • M Zarekarizi, SS Mousavi Nodushan, MRM Tabatabaee, “Investigation of bankful discharge as a threshold in partial duration series analysis”. 2013. 9th International River Engineering Conference

 

  • H Moradkhani, H Yan, M Zarekarizi, C Bracken. “Towards a Unified Framework in Hydroclimate Extremes Prediction in Changing Climate (Invited)”. 2016. AGU Fall Meeting

 

  • H Moradkhani, M Zarekarizi, H Yan, P Abbaszadeh. “From Drought Monitoring to Forecasting: A Statistical-Dynamical Modeling Framework”. 2017. AMS 79th Annual Meeting

 

  • H Yan, H Moradkhani, M Zarekarizi, B Beal. “A Hybrid Framework for Drought Forecasting using Land Data Assimilation and Multivariate Copula Modeling”. 2016. AGU Fall Meeting

 

  • M Zarekarizi, H Moradkhani, “A non-stationary, climate-informed Bayesian modelling framework for flood hazard analysis”. 2016. PNW Water Research Symposium

 

  • M Zarekarizi, H Moradkhani, “Have Climate change and urbanization resulted in more floods?”. 2016. PSU Three minutes thesis competition

 

  • H Moradkhani, H Yan, M Zarekarizi, “An Effective Statistical-Dynamical Framework for Seasonal Drought Monitoring and Forecasting”. 2017. EGU General Assembly Conference Abstracts

 

 

  • H Moradkhani, H Yan, M Zarekarizi, “A Novel Dynamical-statistical Framework for Drought Monitoring and Forecasting”. 2017. World Environment and Water Resources Congress

 

 

 

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