Essays about: "Precipitation Forecast"
Showing result 6 - 10 of 23 essays containing the words Precipitation Forecast.
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6. Defining the avalanche conditions and the potential impacts of climate changeon avalanche danger in Jämtland, Sweden
University essay from Mittuniversitetet/Institutionen för ekoteknik- och hållbart byggandeAbstract : This study aimed to combine avalanche statistics with climate change models in orderto assess how a change in precipitation patterns, snow depth and snow density canimpact the avalanche danger in Jämtland, Sweden. Existing climate model reportsfrom SMHI and the Swedish county administration offices were used, and avalanchestatistics were compiled using data from SEPA from 2017 to 2020. READ MORE
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7. Optimisation of Run of River Production Forecasting Using Aiolos Forecast Studio
University essay from Lunds universitet/Avdelningen för Teknisk vattenresursläraAbstract : Hydropower is simply the largest source of renewable energy in the Nordic countries, where It compose around 90% of power production in Iceland, 70% in Norway, 40% in Sweden and 20% in Finland. Mountainous terrain and abundance in the surface water is a significant contributing factor in hydropower production. READ MORE
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8. Intelligent hydropower : Making hydropower more efficient by utilizing machine learning for inflow forecasting
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Inflow forecasting is important when planning the use of water in a hydropower plant. The process of making forecasts is characterized by using knowledge from previous events and occurrences to make predictions about the future. Traditionally, inflow is predicted using hydrological models. READ MORE
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9. Using X-band Radar with a Neural Network to Forecast Combined Sewer Flow - A case study in Lund
University essay from Lunds universitet/Avdelningen för Teknisk vattenresursläraAbstract : This study aimed to forecast combined sewer flow into a wastewater treatment plant in Lund, Sweden by using uncalibrated X-band radar data with a neural network. Neural networks have proved themselves useful in the field of forecasting as they can solve multiple kinds of problems and recognise patterns in the data (Alemu et al. READ MORE
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10. Verification of HARMONIE-AROME, ECMWF-IFS and WRF: Visibility and Cloud Base Height
University essay from Uppsala universitet/Luft-, vatten- och landskapsläraAbstract : 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. READ MORE