Adnan Rajib

The University of Texas at Arlington

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Other Contributions (5)

Forecasting River Discharge and Runoff with a Python-based Statistical Machine Learning Tool part of Data and Model Driven Hydrology Education:Steps
In the face of an uncertain climate and increasing extreme weather events, it is challenging to predict river discharge and surface runoff. Efficient forecasting helps all aspects of watershed management, including ...

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RisingSeas: An Online Python Tool to Study Sea Level Rise Projections and Trend Analysis part of Data and Model Driven Hydrology Education:Steps
Icebergs melt, seas surge, cities drown. Around the world, from Venice's sinking streets to Bangladesh's desperate plight, sea level rise has significant implications on coastal communities, ecosystems, ...

Automatic Identification and Mapping of Global Floodplains in A Web Browser part of Data and Model Driven Hydrology Education:Steps
Floods have become more frequent worldwide throughout the years as human influence and climate change have increasingly altered the environment1,2. With increasing awareness against flood hazards, there has been a ...

Assess Climate Change Trends Anywhere in the World Using a Web-based Python Tool part of Data and Model Driven Hydrology Education:Steps
The world's climate is changing rapidly. Future projections suggest frequent large storms and prolonged dry spells, increasing human exposures to flooding and drought1. With the recent advances in weather and ...

Detection of Land Use Change in Floodplains Using Web-based Python Programming part of Data and Model Driven Hydrology Education:Steps
Human interventions are increasingly altering the world's floodplains. With the advances in remotely sensed earth observations and geoinformatics, we are now able to assess floodplain alterations by estimating ...