The presentation outlines methods for extending streamflow records, the reasons behind doing so, and the process of using the results. It includes examples of using data from long-term sites to estimate records at short-term sites. The importance of extending records is highlighted, emphasizing the

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This content delves into the methods and assumptions involved in studying hydrologic time-series data for flood frequency analysis. It covers topics such as different types of assumptions, including independence and persistence, and highlights how streamflow data can be analyzed to find annual maxim

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Explore the U.S. Geological Survey's flood capabilities in Connecticut, including real-time streamflow data, precipitation monitoring, groundwater levels, and more. Access tools for flood documentation, peakflow analysis, and national water monitoring through interactive dashboards. Stay informed an

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Enhanced flood monitoring and forecast assumptions for East Africa and Yemen for the season of March 2023, including specific details on flooding conditions in South Sudan, streamflow forecasts for the Blue Nile, Victoria Nile, Rwanda, Burundi, and Yemen. The analysis also predicts seasonal flooding

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This study focuses on detecting and attributing climate change impacts using a multi-basin, multi-model approach. It utilizes the CAMELS dataset, including observed data from 671 gauges across the USA, to analyze streamflow changes and seasonality shifts. The methodology involves updating datasets,

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Explore the implementation of sensors, cyberinfrastructure, and continuous monitoring networks in the Little Bear River to improve water quality predictions. Discover the challenges and solutions related to designing monitoring networks, integrating optical measurements with water quality data, and

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Joint project by USBR, USACE, and NCAR focusing on improving streamflow forecasting using automated over-the-loop approaches. Key challenges include model calibration, data assimilation, and real-time forcings. Objectives involve building an automated system for short- to long-term flow predictions

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Explore the calibration of a conceptual rainfall-runoff model in Alpine catchments, focusing on the importance of incorporating snow data. The study assesses the benefits of using multi-objective approaches and additional datasets for model performance. Various aspects such as snow cover, groundwate

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The Scott Valley Groundwater Study identifies flow enhancement opportunities to improve water management and increase stream flows. Initiatives include developing an integrated hydrologic model, exploring water management strategies, and implementing groundwater recharge projects since 2008. The stu

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