This study comprised summer daytime data from July, August, and Height, and cloud transmittance from the combined use of a skycam, a pyranometer,Īnd a ceilometer, aiming to ultimately improve hyperlocal short-term weatherįorecasting. This thesis is to retrieve cloud cover, cloud type, cloud motion vectors, cloud base Models will require assimilation of high-resolution cloud data. Predict upcoming weather, I have hypothesized that the next generation of NWP Influence solar radiation, surface temperature, precipitation and are useful signs to Highly localized cloud-assimilation are still largely unknown. Most data-assimilation techniques omit cloud observations, thus the benefits of With the assimilation of high-resolution meteorological observations. It is well established that the accuracy of NWP models improves significantly Grids, cellular networks, road cameras, connected vehicles, and smartphones. CBAM initial conditions are fed with data from power Model (CBAM), which claims to be the world’s highest resolution weatherįorecasting model. One example is ClimaCell Bespoke Atmospheric Over the last years, higher resolution models However, satellite resolution remains impracticalįor hyperlocal cloudiness forecasting, which is relevant for many industries such as Times per day, thus spatial and temporal limited for accurate cloud forecasting.ĭata extrapolation techniques have emerged to forecast cloud cover using deep Models operate at scales between 1 to 20 km resolution and run between 2 to 8 Occur at wide scales, from sub-micrometer to few kilometers. The reason is twofold: first, clouds are constantly changing sizeĪnd shape over short periods of time, and second, cloud formation processes
One of the largest challenges in Numerical Weather Prediction (NWP) is cloudįorecasting.
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