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Boonstra, Marchien (author)
Personal weather station (PWS) networks have the potential to supply precipitation data at high spatial and temporal resolution for urban hydrological modeling. Past research has shown promising results on the quality of PWS data, for example from Netatmo gauges, but studies on other PWS brands are limited. This thesis assesses the quality of...
master thesis 2024
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Wang, Peiyuan (author)
Mixed-phase clouds, which have a significant impact on the global climate, are complex systems where liquid water and various types of ice particles coexist at temperatures below the freezing point. A key process in mixed-phase clouds is riming which alters microphysical and scattering properties of ice particles. Cloud radar is a powerful...
master thesis 2024
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Kroese, Willem (author)
Uncertainty in the radiative forcing from anthropogenic activities since the Industrial Revolution is dominated by how clouds respond to aerosol. Climate projections are limited by this uncertainty. The cloud response to aerosol is influenced by the meteorological conditions of the atmosphere wherein the cloud is suspended. Understanding the...
master thesis 2023
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van Marrewijk, Josine (author)
In this research the possibilities of the application of machine learning models at ‘Hoogheemraadschap van Delfland’ are studied. A random forest (RF) and an LSTM model are used for the prediction of the sum of the discharge in the next 2, 8 and 12 hours from the polders to the boezem canals. This research has showed the potential of machine...
master thesis 2023
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Tiessen, Nadine (author)
In September 2022, Greenland experienced an extraordinary late-season melt event, characterized by temperatures exceeding the melting point at Summit Station for the first time on record and surface melt appearing across one-third of the ice-sheet. This thesis investigates extreme melt events at the Summit in Greenland, focusing on the...
master thesis 2023
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Sabade, Atharva (author)
The use of radars for remote sensing in atmospheric sciences has become increasingly popular over the past few decades. Weather radars play a crucial role in measuring, interpreting, and monitoring various atmospheric phenomena. However, accurate retrieval of vertical air velocities remains a challenging problem owing to certain deficiencies in...
master thesis 2023
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Lu, Wenyi (author)
This thesis project is centered around the retrieval of meteorological parameters using a fast-scanning phased array radar, specifically targeting precipitation-like objects such as raindrops. The main objective is to transform radar data into variables that accurately characterize precipitation. This endeavor involves addressing various...
master thesis 2023
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Mak, Ho Yi Lydia (author)
Lightning is a natural phenomena that can be dangerous to humans. It is however challenging to study thunderstorm clouds using direct observations since it can be dangerous to fly into thunderstorm clouds. In this study, cloud radar with millimeter wavelength is used to study the properties and dynamics of thunderstorm clouds. It is based on a...
master thesis 2023
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Trotereau, Jeremy (author)
The Greenland Ice Sheet (GrIS) is an ice sheet situated on the island of Greenland. It has a surface area of about 1.74 million km² and contains a volume of ice equivalent to 7.4 m of global mean sea level rise. The GrIS is vulnerable to climate disruptions such as anthropogenic climate change. As a result of increased greenhouse gas emissions,...
master thesis 2023
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Schuurman, Kevin (author)
The use of deep learning in global weather forecasting has shown significant promise in improving both forecasting accuracy and speed. Traditional numerical weather prediction models have gradually improved forecasting skills but at the cost of increased computational complexity. In contrast, new deep learning models, trained directly on...
master thesis 2023
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Arias Agudelo, Diana (author), Bulsing, Femke (author), Schrijver, Jelle (author), Luger, Maxine (author), Cahill, Linnaea (author)
This project is a consulting project for Community Cloud Forest Conservation (CCFC) on how to obtain and communicate to relevant stakeholders an understanding of the impact of land use change and climate change on the hydrological balance of the cloud forest ecosystem in the Sierra Yalijux. The outcomes of the project will be used by CCFC and...
student report 2023
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MENG, YUQI (author)
Traditionally, archaeological investigations, especially archaeological remains detection, mostly depend on human observation. In order to find the objects in large areas, a lot of fieldwork has to be done and it takes a long time for archaeologists to travel around. Nowadays, the development of LIDAR provides accurate 3D geometric information,...
master thesis 2023
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KONG, Fanhao (author)
This thesis developed a forward model for Sentinel-1 C-band co-pol and cross-pol backscatter and coherence using crop biophysical variables including leaf area index, tops weight, surface soil moisture and root zone soil moisture as inputs for sugarbeet. These input variables are simulated using a crop model called Decision Support System for...
master thesis 2023
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Kroese, Willem (author)
Cloud droplet number concentrations change due to perturbations in aerosol concentrations. The strength of this correlation covaries with meteorology. Using polarimetric aerosol estimates and MODIS-2 cloud retrievals we compute the interaction strength per meteorological regime, which we determined using clustering techniques on MERRA-2...
student report 2022
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Wierikx, Thomas (author)
Understanding the characteristics of photovoltaic system (PV) adopters can help policymakers realise energy transition more effectively. In this study, we developed a model that predicts PV adoption per building using geometric and socioeconomic variables. Seven geometric variables were created by processing building registration data, airborne...
master thesis 2022
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Lin, Steven (author)
Extreme rainfall brings substantial threats to lives, infrastructure, and the economy in cities. Radar rainfall nowcasting was proven able to provide forecasts up to 2 to 3 hours in advance on a catchment scale. However, an extensive evaluation of nowcasting skills for urban areas has not been performed yet. In this study, we selected 80 extreme...
master thesis 2022
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Usman, Nerine (author)
Thanks to increasing computational resources, the grid sizes of global climate and weather prediction models are decreasing to scales at which subgrid processes, especially the evolution of clouds, can become spatially too variable for traditional deterministic parameterization approaches. We propose a stochastic parameterization in which clouds...
master thesis 2022
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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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