A5054026606- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Meteorological Phenomena and Simulations
- Soil Moisture and Remote Sensing
- Hydrological Forecasting Using AI
- Tropical and Extratropical Cyclones Research
- Climate variability and models
- Climate change and permafrost
- Plant Water Relations and Carbon Dynamics
- Precipitation Measurement and Analysis
- Remote Sensing in Agriculture
- Cryospheric studies and observations
- Landslides and related hazards
- Public Relations and Crisis Communication
- Groundwater and Isotope Geochemistry
- Advanced Computational Techniques and Applications
- Fire effects on ecosystems
- Disaster Management and Resilience
- Oceanographic and Atmospheric Processes
- Smart Agriculture and AI
- Soil and Unsaturated Flow
- Environmental Monitoring and Data Management
- Botanical Research and Applications
- Energy and Environment Impacts
Portland State University
2016-2025
Princeton University
2023-2025
University of Alabama
2018-2022
Goddard Space Flight Center
2021
Marshall Space Flight Center
2021
NOAA Center for Satellite Applications and Research
2021
NOAA National Environmental Satellite Data and Information Service
2021
Hohai University
2021
Amirkabir University of Technology
2013-2014
University of Tehran
2009
Abstract Soil moisture plays a critical role in improving the weather and climate forecast understanding terrestrial ecosystem processes. It is key hydrologic variable agricultural drought monitoring, flood forecasting, irrigation management as well. Satellite retrievals can provide unprecedented soil information at global scale; however, products are generally provided coarse resolutions (25–50 km 2 ). This often hampers their use regional or local studies. The National Aeronautics Space...
Abstract Over the past decades, scientific community has made significant efforts to simulate flooding conditions using a variety of complex physically based models. Despite all advances, these models still fall short in accuracy and reliability are often considered computationally intensive be fully operational. This could attributed insufficient comprehension causative mechanisms flood processes, assumptions model development inadequate consideration uncertainties. We suggest adopting an...
Abstract The recent bushfires (2019–2020) in New South Wales (NSW) Australia were catastrophic by claiming human and animal lives, affecting ecosystems, destroying infrastructure, more. Recent studies have investigated relationships between hydroclimatic signals past bushfires, very recently, a few commentary papers claimed drought fuel moisture content as the probable causes for widespread 2019–2020 bushfires. Therefore, this study, novel work of encompassing wide range factors attributing...
This article presents a novel approach to couple deterministic four-dimensional variational (4DVAR) assimilation method with the particle filter (PF) ensemble data system, produce robust for dual-state-parameter estimation. In our proposed method, Hybrid Ensemble and Variational Data Assimilation framework Environmental systems (HEAVEN), we characterize model structural uncertainty in addition parameter input uncertainties. The sequential PF is formulated within 4DVAR system design...
Abstract Flash flood is a recurrent natural hazard with substantial impacts in the Southeast US (SEUS) due to frequent torrential rainfalls that occur region, which are triggered by tropical storms, thunderstorms, and hurricanes. floods costly hazards, primarily their rapid onset. Therefore, predicting property damage of flash imperative for proactive disaster management. Here, we present systematic framework considers variety features explaining different components risk (i.e. hazard,...
Abstract. Real-time probabilistic flood inundation mapping is crucial for risk warning and decision-making during the emergency period before an upcoming event. Considering high uncertainties involved in modeling of a nonlinear complex event, providing deterministic map can be erroneous misleading reliable timely decision-making. The conventional hazard maps provided different return periods cannot also represent actual dynamics flooding rivers. Therefore, real-time framework that forecasts...
Abstract Soil moisture (SM) and evapotranspiration (ET) are key variables of the terrestrial water cycle with a strong relationship. This study examines remotely sensed soil data assimilation (DA) aim improving drought monitoring. Although numerous efforts have gone into assimilating satellite observations land surface models to improve their predictive skills, little attention has been given combined use better characterize hydrologic fluxes. In this study, we assimilate two datasets,...
To separate the contributions of climate changes and human activities to alterations in flow for Ahar Chay watershed Iran, change points Normalized Difference Vegetation Index (NDVI) evapotranspiration (ET) were distinguished before after significant alterations. The Budyko Soil Water Assessment Tool (SWAT) used find reduction runoff. Newly developed Penman-Monteith-Leuning (PML) ET data was consider plant types. Results revealed increase NDVI, coinciding with point 1998, as well 1999....
Abstract Understanding the interactions between atmosphere, land, and subsurface is fundamental to hydrology critical for a better assessment of impacts climate change human management on hydrological systems. However, many land surface models simplify thereby these interactions. In this study, we couple model Noah‐MP included in NASA Land Information System (LIS) with integrated hydrologic ParFlow (ParFlow‐LIS) using Earth Modeling Framework (ESMF) National United Operational Prediction...
© 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).CORRESPONDING AUTHOR: Peyman Abbaszadeh, pabbaszadeh@ua.edu