Sökning: "numerical weather prediction models"
Visar resultat 1 - 5 av 23 uppsatser innehållade orden numerical weather prediction models.
1. Improving Visibility Forecasts in Denmark Using Machine Learning Post-processing
Master-uppsats, Uppsala universitet/Luft-, vatten- och landskapsläraSammanfattning : Accurate fog prediction is an important task facing forecast centers since low visibility can affect anthropogenic systems, such as aviation. Therefore, this study investigates the use of Machine Learning classification algorithms for post-processing the output of the Danish Meteorological Institute’s operational Numerical Weather Prediction (NWP) model to improve visibility prediction. LÄS MER
2. Conform with the Wind : Processing short-term ensemble forecasts with conformal based methods for probabilistic wind-speed forecasting
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Forecasting wind has always been an interesting subject, and as large parts of the world are relying more on wind for power production it is becoming even more important to have reliable forecasts. Probabilistic forecasts, where distributions are predicted in contrast to deterministic forecasts, are impor- tant for informed decision making. LÄS MER
3. ASSESMENT OF WIND POWER FORECASTING ERROR FOR GOTLAND
Master-uppsats, Uppsala universitet/Institutionen för geovetenskaperSammanfattning : When the wind blows and wind turbine generators harvests the kinetic energy and trans- forms it to electrical power, there is a need for predicting how much power that will be dispatched from the turbines. Even the most perfect computer model with high computa- tional power could not model the beauty of the forces of nature and we must accept some degree of forecasting error in the predicted power output due to the inherently stochastic patterns in the atmosphere. LÄS MER
4. Preprocesserings påverkan på prediktiva modeller : En experimentell analys av tidsserier från fjärrvärme
Kandidat-uppsats,Sammanfattning : Värme står för det största energibehovet inom hushåll och andra byggnader i samhället och olika tekniker används för att kunna reducera mängden energi som går åt för att spara på både miljö och pengar. Ett angreppssätt på detta problem är genom informatiken, där maskininlärning kan användas för att analysera och förutspå värmebehovet. LÄS MER
5. Verification of HARMONIE-AROME, ECMWF-IFS and WRF: Visibility and Cloud Base Height
Master-uppsats, Uppsala universitet/Luft-, vatten- och landskapsläraSammanfattning : Visibility and cloud base height are two important parameters within aviation meteorology and verification of operational numerical weather prediction (NWP) models with regard to these two parameters is therefore important. Visibility is often parameterized through an extinction coefficient, which is dependent on for example liquid or ice water content, however it also depends on the humidity, precipitation intensity and particle concentration. LÄS MER