Probabilistic Drought Monitoring and Forecasting
- Yan, H., M Zarekarizi, and H. Moradkhani (2018), Toward Improving Drought Monitoring using the Remotely Sensed Soil Moisture Assimilation: A Parallel Particle Filtering Framework, Remote Sensing of Environment, 216:456-471, doi: 10.1016/j.rse.2018.07.017
- Yan, H., H. Moradkhani, and M. Zarekarizi (2017), A Probabilistic Drought Forecasting Framework: A Combined Dynamical and Statistical Approach, Journal of Hydrology, 548, 291–304, doi: 0.1016/j.jhydrol.2017.03.004
- Ahmadalipour, A. and H. Moradkhani and M. Svoboda (2016), Centennial drought outlook over the CONUS using NASA-NEX downscaled climate ensemble, International Journal of Climatology, doi: 10.1002/joc.4859.
- Ahmadalipour, A., H. Moradkhani, H. Yan, M. Zarekarizi (2016), Remote Sensing of Drought: Vegetation, Soil Moisture and Data Assimilation, Remote Sensing of Hydrological Extremes, Springer International Publishing Switzerland 2017, DOI 10.1007/978-3-319-43744-6_7.
- Madadgar, S. and H. Moradkhani (2016), Copula Function and Drought, Handbook of Drought and Water Scarcity, Vol. 1: Principles of Drought and Water Scarcity, Francis and Taylor.
- DeChant C.M., and H. Moradkhani (2015), Analyzing the Sensitivity of Drought Recovery Forecasts to Land Surface Initial Conditions, Journal of Hydrology, special issue on Drought, 526, 89–100, DOI:10.1016/j.jhydrol.2014.10.021.
- Madadgar, S., and H. Moradkhani (2014), Spatio-temporal Drought Forecasting within Bayesian Networks, Journal of Hydrology, 512, 134-146, DOI: 10.1016/j.jhydrol.2014.02.039.
- DeChant C.M., and H. Moradkhani (2014), Toward a Reliable Prediction of Seasonal Forecast Uncertainty: Addressing Model and Initial Condition Uncertainty with Ensemble Data Assimilation and Sequential Bayesian Combination, Journal of Hydrology, special issue on Ensemble Forecasting and data assimilation, 519, 2967-2977, DOI: 10.1016/j.jhydrol.2014.05.045.
- Madadgar, S. and H. Moradkhani (2013), A Bayesian Framework for Probabilistic Drought Forecasting, Journal of Hydrometeorology, special issue of Advances in Drought Monitoring, 14, 1685–1705, DOI: 10.1175/JHM-D-13-010.1
- Madadgar, S., and H. Moradkhani, (2013), Drought Analysis under Climate Change using Copula, Journal of Hydrologic Engineering, 18 (7), doi:http://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0000532.