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Leveraging machine learning for predicting flash flood damage in the Southeast US

Environmental research letters, 2020-02, Vol.15 (2), p.24011

2020

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High-Resolution SMAP Satellite Soil Moisture Product: Exploring the Opportunities

Bulletin of the American Meteorological Society, 2021-04, Vol.102 (4), p.309-315

2021

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A Review of the 21st Century Challenges in the Food-Energy-Water Security in the Middle East

Water (Basel), 2019-04, Vol.11 (4), p.682

2019

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The Quest for Model Uncertainty Quantification: A Hybrid Ensemble and Variational Data Assimilation Framework

Water resources research, 2019-03, Vol.55 (3), p.2407-2431

2019

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Perspective on uncertainty quantification and reduction in compound flood modeling and forecasting

iScience, 2022-10, Vol.25 (10), p.105201-105201, Article 105201

2022

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Downscaling SMAP Radiometer Soil Moisture Over the CONUS Using an Ensemble Learning Method

Water resources research, 2019-01, Vol.55 (1), p.324-344

2019

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DeepYield: A combined convolutional neural network with long short-term memory for crop yield forecasting

Expert systems with applications, 2021-12, Vol.184, p.115511, Article 115511

2021

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Improving Hydrological Process Modeling Using Optimized Threshold-Based Wavelet De-Noising Technique

Water resources management, 2016-03, Vol.30 (5), p.1701-1721

Abbaszadeh, Peyman

2016

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Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index

Remote sensing of environment, 2020-12, Vol.250, p.112028, Article 112028

2020

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Enhancing hydrologic data assimilation by evolutionary Particle Filter and Markov Chain Monte Carlo

Advances in water resources, 2018-01, Vol.111, p.192-204

2018

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Multivariate remotely sensed and in-situ data assimilation for enhancing community WRF-Hydro model forecasting

Advances in water resources, 2020-11, Vol.145, p.103721, Article 103721

2020

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An ensemble data assimilation approach to improve farm-scale actual evapotranspiration estimation

Agricultural and forest meteorology, 2022-06, Vol.321, p.108982, Article 108982

2022

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Bayesian Multi-modeling of Deep Neural Nets for Probabilistic Crop Yield Prediction

Agricultural and forest meteorology, 2022-03, Vol.314, p.108773, Article 108773

2022

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Assessing irrigation mitigating drought impacts on crop yields with an integrated modeling framework

Journal of hydrology (Amsterdam), 2022-06, Vol.609, p.127760, Article 127760

2022

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Multivariate Assimilation of Remotely Sensed Soil Moisture and Evapotranspiration for Drought Monitoring

Journal of hydrometeorology, 2020-10, Vol.21 (10), p.2293-2308

2020

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Hazard risk awareness and disaster management: Extracting the information content of twitter data

Sustainable cities and society, 2022-02, Vol.77, p.103577, Article 103577

2022

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Sequential data assimilation for real-time probabilistic flood inundation mapping

Hydrology and earth system sciences, 2021-09, Vol.25 (9), p.4995-5011

2021

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A new hybrid artificial neural networks for rainfall–runoff process modeling

Neurocomputing (Amsterdam), 2013-12, Vol.121, p.470-480

2013

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Accounting for uncertainties in compound flood hazard assessment: The value of data assimilation

Coastal engineering (Amsterdam), 2022-01, Vol.171, p.104057, Article 104057

2022

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Development of a coupled wavelet transform and evolutionary Levenberg‐Marquardt neural networks for hydrological process modeling

Computational intelligence, 2018-02, Vol.34 (1), p.175-199

2018

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A Combined Optimization‐Assimilation Framework to Enhance the Predictive Skill of Community Land Model

Water resources research, 2021-12, Vol.57 (12), p.n/a

2021

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Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling

Reviews of geophysics (1985), 2023-06, Vol.61 (2), p.n/a

2023

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Wildfires in the Arctic and tropical biomes: what is the relative role of climate?

Natural hazards (Dordrecht), 2022-11, Vol.114 (2), p.1901-1914

2022

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Causes of the Widespread 2019–2020 Australian Bushfire Season

Earth's future, 2020-11, Vol.8 (11), p.n/a

2020

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Development of a coupled wavelet transform and evolutionary L evenberg‐ M arquardt neural networks for hydrological process modeling

Computational intelligence, 2018-02, Vol.34 (1), p.175-199

2018

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Leveraging machine learning for predicting flash flood damage in the Southeast US

High-Resolution SMAP Satellite Soil Moisture Product: Exploring the Opportunities

A Review of the 21st Century Challenges in the Food-Energy-Water Security in the Middle East

The Quest for Model Uncertainty Quantification: A Hybrid Ensemble and Variational Data Assimilation Framework

Perspective on uncertainty quantification and reduction in compound flood modeling and forecasting

Downscaling SMAP Radiometer Soil Moisture Over the CONUS Using an Ensemble Learning Method

DeepYield: A combined convolutional neural network with long short-term memory for crop yield forecasting

Improving Hydrological Process Modeling Using Optimized Threshold-Based Wavelet De-Noising Technique

Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index

Enhancing hydrologic data assimilation by evolutionary Particle Filter and Markov Chain Monte Carlo

Multivariate remotely sensed and in-situ data assimilation for enhancing community WRF-Hydro model forecasting

An ensemble data assimilation approach to improve farm-scale actual evapotranspiration estimation

Bayesian Multi-modeling of Deep Neural Nets for Probabilistic Crop Yield Prediction

Assessing irrigation mitigating drought impacts on crop yields with an integrated modeling framework

Multivariate Assimilation of Remotely Sensed Soil Moisture and Evapotranspiration for Drought Monitoring

Hazard risk awareness and disaster management: Extracting the information content of twitter data

Sequential data assimilation for real-time probabilistic flood inundation mapping

A new hybrid artificial neural networks for rainfall–runoff process modeling

Accounting for uncertainties in compound flood hazard assessment: The value of data assimilation

Development of a coupled wavelet transform and evolutionary Levenberg‐Marquardt neural networks for hydrological process modeling

A Combined Optimization‐Assimilation Framework to Enhance the Predictive Skill of Community Land Model

Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling

Wildfires in the Arctic and tropical biomes: what is the relative role of climate?

Causes of the Widespread 2019–2020 Australian Bushfire Season

Development of a coupled wavelet transform and evolutionary L evenberg‐ M arquardt neural networks for hydrological process modeling

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