A5018790142- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Water resources management and optimization
- Geophysics and Gravity Measurements
- Precipitation Measurement and Analysis
- Meteorological Phenomena and Simulations
- Soil Moisture and Remote Sensing
- Fire effects on ecosystems
- Underwater Vehicles and Communication Systems
- Hydrological Forecasting Using AI
- Geology and Paleoclimatology Research
- Hydrology and Sediment Transport Processes
- Distributed and Parallel Computing Systems
- Reservoir Engineering and Simulation Methods
- Land Use and Ecosystem Services
- Radio Astronomy Observations and Technology
- ICT in Developing Communities
- Climate Change and Health Impacts
- Climate variability and models
- Oceanographic and Atmospheric Processes
- Groundwater flow and contamination studies
- Solar and Space Plasma Dynamics
- Geophysical and Geoelectrical Methods
- Landslides and related hazards
- Automated Road and Building Extraction
Goddard Space Flight Center
2022-2025
University of Maryland, Baltimore County
2022-2025
National Aeronautics and Space Administration
2024
Johns Hopkins University
2024
Earth System Science Interdisciplinary Center
2023
University of Washington
2017-2021
Seattle University
2017-2019
The Integrated Multisatellite Retrievals for Global Precipitation Measurement (GPM) (IMERG) Level 3 estimates rainfall from passive microwave sensors onboard satellites that are associated with several uncertainty sources such as sensor calibration, retrieval errors, and orographic effects. This study aims to provide a comprehensive investigation of multiple machine learning (ML) techniques (Random Forest, Neural Networks), stochastically generate an error-corrected improved IMERG...
Abstract Despite the potential of remote sensing for monitoring reservoir operation, few studies have investigated extent to which releases can be inferred across different spatial and temporal scales. Through evaluating 21 reservoirs in highly regulated Greater Mekong region, imagery was found useful estimating daily storage volumes within‐year over‐year (correlation coefficients [CC] ≥ 0.9, normalized root mean squared error [NRMSE] ≤ 31%), but not run‐of‐river (CC < 0.4, 40% NRMSE...
Abstract Ganges and Brahmaputra, two of Asia’s most prominent rivers, have a crucial role in Southeast geopolitics economy are home to one the world’s biggest marine ecosystems. Irrigation-driven groundwater depletion climate change affect Ganges-Brahmaputra’s hydrology, threatening stability Bay Bengal. Here, we quantify, using results from land reanalysis, impacts changing intensive irrigation on surface water flowing into The effects such activities mostly occurring basin, either...
Abstract As extreme precipitation intensifies under climate change, traditional risk models based on the ‘100-year return period’ concept are becoming inadequate in assessing real-world risks. In response, this nationwide study explores shifting extremes non-stationary warming using high-resolution data across contiguous United States. Results reveal pronounced variability 100-year levels, with Coastal and Southern regions displaying highest baseline projections, future spikes anticipated...
Abstract In a warming climate, wildfires are becoming increasingly common, especially in semi‐arid environments. Wildfires can disrupt forest ecosystems and induce changes to the land surface. Collectively, these impacts alter hydrologic response of catchment following fire, resulting increased potential for surface runoff, reduced evapotranspiration, and, ultimately, higher risk flash flooding mass wasting. The timescale post‐fire recovery hydrological processes return pre‐fire conditions...
Currently there are 30 large dams in the Mekong River Basin (MRB), three of which located on main stem China. Understanding impacts these altered water availability MRB is therefore timely and essential for management. In this article we present two critical aspects to management stakeholder community basin. These are: (1) identify if a widely used macroscale hydrologic model can represent hydrology river basin absence adequate in-situ data; (2) explore how well satellite remote sensing...
Abstract A computationally efficient early warning technique is developed for forecasting flash floods during the pre-monsoon season that are associated with a complex topography and transboundary runoff in northeastern Bangladesh. Locally conditioned topographic hydrometeorological observations key forcings to modeling system simulate hydrology hydraulic processes. The hydrologic model calibrated validated using satellite-based estimate correct amount of mountainous inflow into flood-prone...
The Lower Mekong region is one of the most landslide-prone areas world. Despite need for dynamic characterization landslide hazard zones within region, it largely understudied several reasons. Dynamic and integrated understanding processes requires inventories across which have not been available previously. Computational limitations also hamper regional assessment, including accessing processing remotely sensed information. Finally, open-source software modelling packages are required to...
Researchers from the University of Washington and Pakistan are using 21st century technology to revive farming as a profitable profession in Indus Valley.
Abstract Two software development hurdles to advancing real-world operationalization of satellite datasets for water management are addressed in this study. First, a simple, easy-to-build and open-source web portal connecting back-end complex model is developed resource-constrained developing nations. Second, enhance the skill satellite-based predictions, an innovative dynamic analytics-based correction system reduce uncertainty estimates. The comprises precipitation bias streamflow...
Abstract The limited amount of shared reservoir monitoring data around the world is insufficient to quantify dynamic nature operation with conventional ground-based methods. With emergence Reservoir Assessment Tool (RAT) driven by a multitude Earth-observing satellites and models, historical observation spanning 35 years was made using open-source techniques. Trends in storage change were compared trends four critical hydrologic variables (precipitation, runoff, evaporation, Palmer drought...
In this study, a method was developed for the baseline characterization of river bathymetry and time-varying heights using globally available datasets from Shuttle Radar Topography Mission (SRTM) elevation data Landsat visible imagery. Using independent on water elevations satellite altimetry, SRTM-Landsat approach verified as to how well it can work characterization. The technique demonstrated Chindwin River locations in Myanmar that were also independently sampled by Sentinel 3A Jason 3...
Abstract The rapid decline of groundwater resources in South Asia due to excessive irrigation during dry season requires awareness optimal on‐field water requirements. Such information is currently provided on farmer cellphones through an operational Irrigation Advisory System (IAS). To minimize the cost sending such advisory texts farmers while maximizing impact IAS sustainability, we integrated Gravity Recovery and Climate Experiment (GRACE) data with Landsat Thermal Infrared (TIR) Imagery...
<title>Abstract</title> Southern Asia benefits from groundwater pumping for dry-season irrigation by increasing both crop productivity and monsoon aquifer recharge rates in the region. Based on a data-driven integrated modeling system, we provide numerical evidence that impacts of unsustainable groundwater-fed surface freshwater availability go beyond what was previously understood. Our results confirm findings previous studies increased during wet seasons over 2002-2021, but they are...
Sea surface salinity ([Formula: see text]) is a key parameter in the thermohaline circulation of global oceans. Near megadeltas, inland streamflow through large catchments plays crucial role mediating salinity. While some regional studies have investigated how [Formula: text] impacted water cycle and climate components, scale quantification contribution on variability lacking. Here, we utilized remote sensing observation-driven datasets to quantify statistical associations between at 48...
With so many eyes in the sky, residents living downstream from dams now have ways to see—and prepare for—potential dangers.
Earth and Space Science Open Archive PosterOpen AccessYou are viewing the latest version by default [v1]A Global Reservoir Assessment Tool for Predicting Hydrologic Impact Operating Pattern of Existing Planned ReservoirsAuthorsNishan KumarBiswasiDFaisalHossainiDSee all authors Nishan Kumar BiswasiDCorresponding Author• Submitting AuthorUniversity WashingtoniDhttps://orcid.org/0000-0002-3568-281Xview email addressThe was not providedcopy addressFaisal HossainiDUniversity...