Sökning: "weather forecasting"

Visar resultat 1 - 5 av 36 avhandlingar innehållade orden weather forecasting.

  1. 1. Sampling uncertainties in ensemble weather forecasting

    Författare :Linus Magnusson; Erland Källén; Jonas Nycander; Jan Barkmeijer; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Ensemble forecasting; Initial perturbation techniques; Meteorology; Meteorologi; meteorologi; Meteorology;

    Sammanfattning : The aim of ensemble weather forecasting is to provide probability forecasts for the occurrence of meteorological events. The ensembles are constructed by assembling several forecast realisations, each member of the ensemble being constructed to sample the uncertainties in the forecast. LÄS MER

  3. 2. Hydrological Seasonal Forecasting

    Författare :Kean Foster; Avdelningen för Teknisk vattenresurslära; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; hydrological seasonal forecasting; seasonal forecast; spring flood; multi-model ensembles; teleconnection patterns; modelling chain;

    Sammanfattning : In Sweden, almost half of the electricity produced comes from hydropower. However, the amount of water in the reservoir catchments is not evenly distributed throughout the year. During the colder months, precipitation usually falls as snow and accumulates into a snowpack. LÄS MER

  4. 3. Characterization and forecasting of wind conditions over the Baltic Sea

    Författare :Christoffer Hallgren; Erik Sahlée; Julie Lundquist; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Baltic Sea; forecasting; low-level jet; lidar; machine learning; mesoscale meteorology; numerical weather prediction; post-processing; reanalysis; sea breeze; turbulence; wind atlas; wind energy; wind power; Meteorologi; Meteorology;

    Sammanfattning : To meet the increasing demand of sustainably produced electricity, the total number of installed wind turbines is rapidly increasing globally. Although onshore installations are dominating, offshore wind power is taking a greater share of the market every year. LÄS MER

  5. 4. Spatiotemporal prediction of arbovirus outbreak risk : the role of weather and population mobility

    Författare :Aditya L. Ramadona; Joacim Rocklöv; Yesim Tozan; Hari Kusnanto; Lutfan Lazuardi; Paula Moraga; Umeå universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; arbovirus; dengue; temperature; rainfall; extreme weather; climate variability; population mobility; twitter data; social media; forecasting model; early warning; epidemic; big data; INLA; spatiotemporal model; climate services;

    Sammanfattning : Background: Arboviruses such as dengue and chikungunya have been a significant public health burden globally for several decades. In Indonesia, all four dengue serotypes are circulating. LÄS MER

  7. 5. Solar Wind and Geomagnetic Activity - Predictions Using Neural Networks

    Författare :Hans Gleisner; Astronomi - Genomgår omorganisation; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Geophysics; kosmisk kemi; rymdvetenskap; magnetosphere; solar wind; space weather; geomagnetic activity; geomagnetism; ring current; auroral electrojet; neural networks; forecasting; Astronomy; space research; Astronomi; cosmic chemistry; physical oceanography; meteorology; Geofysik; fysisk oceanografi; meteorologi; Fysicumarkivet A:2000:Gleisner;

    Sammanfattning : This thesis shows how artificial neural networks (ANNs) can be applied to predict geomagnetic activity from solar-wind data. It introduces and summarizes five papers where development of ANN models are reported, and where predictions of geomagnetic activity are discussed. LÄS MER