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Schoenmaker, Karlijn (author)
Disasters like inland floods and landslides are a cause of extreme rainfall. To increase the time to take early measures against such disasters it is of great importance to have access to accurate prediction of the rainfall. For the prediction of floods, Quantitative Precipitation Forecasts (QPFs) are used as input for hydrologic models....
master thesis 2022
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Dekker, Diewertje (author)
This additional thesis project is performed as preliminary research for a bigger project that they are going to start at Lund University, to investigate whether the use of a different interpolation methods, to link the precipitation data to the sub-basins centers of the HYPE model, lead to improved model performance. In this report, previously...
student report 2022
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van den Brule, Yannick (author)
The knowledge of the raindrop size distribution is key for characterizing precipitation. It is however still a challenge to retrieve it with radars. Several polarimetric and spectral techniques are proposed for cm-wavelength radars (weather radars). What about the mm-wavelength radars (cloud radars), which have a better spatial and time...
master thesis 2022
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Gur, Daniƫlla (author)
master thesis 2021
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Bentvelsen, Falco (author)
It is well understood that precipitation extremes will increase in a warming climate. On (sub-)hourly timescales, the apparent scaling of precipitation extremes is stronger than expected from the Clausius-Clapeyron relation. Here, we focus on a common hypothesis which states that feedbacks from the local dynamics of clouds are responsible.<br/>...
master thesis 2021
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de Kat, Ileen (author)
The validation of satellite retrieved soil moisture over a tropical region (Bago, Myanmar) has been conducted in this research. The downscaled soil moisture products of VanderSat using the Land Parameter Retrieval Model, were compared with an in-situ soil moisture network that operated between 2017 and 2018 and a newly placed network installed...
master thesis 2021
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Blokhuijsen, Thies (author)
The construction of drinking-water reservoirs in previously free-flowing river basins introduces challenges in operational water management, especially in data scarce environments. Often resulting in effectively un- gauged basins. In order to be able to estimate the expected increase in water supply, the hydrology of the ungauged sub-basins must...
master thesis 2020
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Lacoa Arends, Eric (author)
The increasing penetration of weather-dependent energy sources brings additional challenges to the operation of the power system. Wind power forecasting is a valuable resource for these power operators: a tool that aids the decision-making process and facilitates risk management. On the other hand, the progress of machine learning and their...
master thesis 2020
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Magura, bart (author)
This report describes the development of an early warning model for thunderstorm occurrence around Lake Victoria. It is the first model to use the TAHMO lightning sensor data to predict thunderstorms. This study hopes to contribute to the TWIGA focus area of increasing disaster resilience through forecasting and early warnings and could be used...
master thesis 2020
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Teruel Cano, David (author)
Due to global warming, temperatures are expected to rise and, with it, the increase in moisture holding capacity of the atmosphere. Changes in precipitation extremes with temperature are governed by the Clausius-Clapeyron relationship (CC), which states that precipitation increases 7% per degree of warming. While global models and observations...
master thesis 2020
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Schoester, Jeroen (author)
Urban pluvial flooding occurs when the run-off converted rainfall exceeds the capacity of the sewer or stormwater system (Houston et al., 2011). This can result in damage to ecology, infrastructure, disruption to human activities, injuries and in the worst-case scenario, loss of life (Biniyam et al., 2017). With the expected increase in the...
master thesis 2019
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