Essays about: "Weather Research and Forecasting Model"
Showing result 16 - 20 of 21 essays containing the words Weather Research and Forecasting Model.
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16. Differences in consequences between peak arrivals and movement directions of an extreme rainfall in flood modeling
University essay from KTH/Hållbar utveckling, miljövetenskap och teknikAbstract : To avoid damages and costs for the society due to flooding is it important to be able to model accurate rain scenarios. Due to climate change is it thought that there will be more heavy rainfalls in the future which will increase the risk for flooding. READ MORE
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17. Quantifying the Shadow Effect between Offshore Wind Farms with Idealized Mesoscale Models and Observed Wind Data
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : Two post processing methods for quantifying the shadow effect of the offshore wind farm Princes Amalia (PA) onto Egmond aan Zee (OWEZ) wind farm are analyzed and benchmarked. The first method is the author’s proposed shadow effect determination method (SEDM), which quantifies an offshore wind farm’s shadow effect based on mesoscale WRF (Weather Research Forecast) idealized modeling and the observed frequency of the analyzed site’s wind conditions. READ MORE
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18. Numerical Simulation of Diurnal Planetary Boundary Layer Effects and Diurnal Mountain-Wind Effects
University essay from Uppsala universitet/Luft-, vatten- och landskapsläraAbstract : The Weather Research and Forecasting Model was used to study its accuracy and representation in modelling a study area within a complex wind system as well as the effects on the model when using different input data and physics schemes. The complex wind system consists of diurnal mesoscale effects from the nearby Pyrenees mountain range and diurnal effects from the planetary boundary layer. READ MORE
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19. Implementation of machine learning to model losses from icing of wind turbines
University essay from KTH/Kraft- och värmeteknologiAbstract : This thesis investigates the possibility to use machine learning algorithms to predict the losses due to icing in the Stor-Rotliten wind farm that is situated in the north of Sweden and operated by Vattenfall. The inputs for the machine learning are historical mesoscale modelled variables that are derived from a Weather Research and Forecasting Model code that is tuned for icing (WRF-model). READ MORE
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20. Study and implementation of mesoscale weather forecasting models in the wind industry
University essay from KTH/Kraft- och värmeteknologiAbstract : As the wind industry is developing, it is asking for more reliable short-term wind forecasts to better manage the wind farms’ operations and electricity production. Developing new wind farms also requires correct assessments of the long-term wind potentials to decide whether to install a wind farm at a specific location. READ MORE