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Showing 1 to 8 of 8 for “"Satellite Precipitation"”.

  1. Improving Global Satellite Precipitation Products Utilizing Machine Learning

    … learning and deep learning to improve global satellite precipitation products. This includes providing practical guidance and analysis to determine which sensor or algorithm can provide the most effective precipitation input to the Integrated Multi-satellitE Retrievals for Global Precipitation

    arizona-thes Repository record for Improving Global Satellite Precipitation Products Utilizing Machine Learning (opens in a new tab)

  2. Assessment of the PMPs and Design Storms Estimated from the IMERG Satellite Precipitation Data

    … research is to leverage the Integrated Multi-satellite Retrievals for Global (IMERG) precipitation dataset to estimate probable maximum precipitation (PMP) at pixel and watershed levels, and to model design storms. The IMERG data provides an opportunity to extend PMPs and design storms in …

    ku Repository record for Assessment of the PMPs and Design Storms Estimated from the IMERG Satellite Precipitation Data (opens in a new tab)

  3. Integrative Analysis of Policy Changes for a Coastal Watershed: Implications for Agriculture and Ecosystem Health

    … chapter assesses the effectiveness of various satellite precipitation products and autocalibration techniques on river flow prediction, highlighting the superior performance of the Global Precipitation Measurement Integrated Multi-satellitE Retrievals (GPM IMERG) dataset when combined with the …

    ecu Repository record for Integrative Analysis of Policy Changes for a Coastal Watershed: Implications for Agriculture and Ecosystem Health (opens in a new tab)

  4. Precipitation analysis for a flood early warning system in the Manafwa River Basin, Uganda

    … (URCS) to design a hydrological model for a precipitation based flood forecasting system for the Manafwa River Basin. The hydrological model relates precipitation with flood risk and flood extent. The main input for the model is the basin precipitation. The rainfall data from satellite

    mit Repository record for Precipitation analysis for a flood early warning system in the Manafwa River Basin, Uganda (opens in a new tab)

  5. Data assimilation and dynamical downscaling of remotely-sensed precipitation and soil moisture from space

    … water and energy exchanges. However, the use of satellite observations in hydrologic applications is often limited by coarse space-time resolutions. This study aims to develop a data assimilation system that integrates remotely-sensed precipitation and soil moisture observations into …

    gatech Repository record for Data assimilation and dynamical downscaling of remotely-sensed precipitation and soil moisture from space (opens in a new tab)

  6. Remote Sensing For An Improved Geospatial Flash Flood Susceptibility Modeling Over An Arid Environment

    … of Oman as an example of the arid areas. Precipitation is a crucial variable for studying various climate-related research such as flash flood monitoring and prediction. The performance of five global satellite precipitation estimates (GSPEs) was evaluated using the available sub-daily and …

    calgary Repository record for Remote Sensing For An Improved Geospatial Flash Flood Susceptibility Modeling Over An Arid Environment (opens in a new tab)

  7. NON-PARAMETRIC STATISTICAL APPROACH TO CORRECT SATELLITE RAINFALL DATA IN NEAR-REAL-TIME FOR RAIN BASED FLOOD NOWCASTING

    … or early warning systems which run on real- time precipitation data are becoming more popular as they give reliable forecasts compared to traditional flood forecasting systems. However, these kinds of systems are often limited to developed countries as they need well distributed gauging station …

    poli-torino Repository record for NON-PARAMETRIC STATISTICAL APPROACH TO CORRECT SATELLITE RAINFALL DATA IN NEAR-REAL-TIME FOR RAIN BASED FLOOD NOWCASTING (opens in a new tab)

  8. A Scalable Open-source Web-analytic Framework to Improve Satellite-based Operational Water Management in Developing Countries

    Satellite based observations are becoming more widespread for operational and decision making activities in water resources due to their near real-time availability as well as minimization of difficulties related to ground based hydrological measurements. In this study, two crucial hurdles to …

    washington Repository record for A Scalable Open-source Web-analytic Framework to Improve Satellite-based Operational Water Management in Developing Countries (opens in a new tab)