publications
publications are in chronological order.
2024
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Unravelling the impact of climate change and anthropogenic activities on streamflow: The benefit of newly developed evapotranspiration dataHydrological Sciences Journal, 2024 -
Agricultural Drought Monitoring: A Comparative Review of Conventional and Satellite-Based IndicesAtmosphere, 2024
2023
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Recent Advances and New Frontiers in Riverine and Coastal Flood ModelingReviews of Geophysics, 2023
2022
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Perspective on uncertainty quantification and reduction in compound flood modeling and forecastingIscience, 2022 -
Bayesian Multi-modeling of Deep Neural Nets for Probabilistic Crop Yield PredictionAgricultural and Forest Meteorology, 2022 -
Accounting for uncertainties in compound flood hazard assessment: The value of data assimilationCoastal Engineering, 2022 -
Unraveling the relationship between tropical storms and agricultural droughtEarth’s Future, 2022 -
Hazard risk awareness and disaster management: Extracting the information content of twitter dataSustainable Cities and Society, 2022 - An ensemble data assimilation approach to improve farm-scale actual evapotranspiration estimationAgricultural and Forest Meteorology, 2022
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An ensemble data assimilation approach to improve farm-scale actual evapotranspiration estimationJournal of Hydrology, 2022 -
How does precipitation data influence the land surface data assimilation for drought monitoring?Science of The Total Environment, 2022 -
Wildfires in the Arctic and tropical biomes: what is the relative role of climate?Natural Hazards, 2022
2021
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High-resolution SMAP satellite soil moisture product: Exploring the opportunitiesBulletin of the American Meteorological Society, 2021 -
Sequential data assimilation for real-time probabilistic flood inundation mappingHydrology and Earth System Sciences, 2021 -
DeepYield: A combined convolutional neural network with long short-term memory for crop yield forecastingExpert Systems with Applications, 2021 -
A Combined Optimization-Assimilation Framework to Enhance the Predictive Skill of Community Land ModelWater Resources Research, 2021
2020
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Multivariate remotely sensed and in-situ data assimilation for enhancing community WRF-Hydro model forecastingAdvances in Water Resources, 2020 -
Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought indexRemote Sensing of Environment, 2020 -
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Leveraging machine learning for predicting flash flood damage in the Southeast USEnvironmental Research Letters, 2020 -
Multivariate Assimilation of Remotely Sensed Soil Moisture and Evapotranspiration for Drought MonitoringJournal of Hydrometeorology, 2020
2019
- Downscaling SMAP radiometer soil moisture over the CONUS using an ensemble learning methodWater Resources Research, 2019
- The Quest for Model Uncertainty Quantification: A Hybrid Ensemble and Variational Data Assimilation FrameworkWater Resources Research, 2019
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A review of the 21st century challenges in the food-energy-water security in the Middle EastWater, 2019
2018
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Fundamentals of Data Assimilation and Theoretical AdvancesHandbook of Hydrometeorological Ensemble Forecasting, 2018 - Enhancing hydrologic data assimilation by evolutionary particle filter and Markov chain Monte CarloAdvances in Water Resources, 2018
2017
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Development of a coupled wavelet transform and evolutionary Levenberg-Marquardt neural networks for hydrological process modelingComputational Intelligence, 2017
2016
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Improving Hydrological Process Modeling Using Optimized Threshold-Based Wavelet De-Noising TechniqueWater Resources Management, 2016
2014
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A new hybrid algorithm for rainfall–runoff process modeling based on the wavelet transform and genetic fuzzy systemJournal of Hydroinformatics, 2014
2013
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A new hybrid artificial neural networks for rainfall–runoff process modelingNeurocomputing, 2013
