Lecture

Drones 4 Meteo: Mastering the Weather Challenge in New Space Economy

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Description

This lecture by the instructor focuses on the use of drones, specifically Meteodrones, to improve weather forecasting. It covers the current data situation, the impact of Meteodrones on cloud analysis, planned Meteobase setup, operational Meteodrone flights, and comparisons with radiosonde data. The lecture highlights the advantages of Meteodrones in providing accurate and localized weather data, showcasing their potential to revolutionize meteorological observations.

In MOOC

New Space Economy

The New Space sector is a fast-growing market, boosting the historical institutional space exploration economy. The roughly 366 billion USD global space industry in 2019 is estimated to surge to over $1 trillion by 2040. The current growth in the development of space infrastructures and production of data from space is opening a full range of new applications for new customers. New business models for space encompass launchers, satellite manufacturers, in-orbit servicing, telecommunication, cybersecurity, e

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Related concepts (6)

Meteorology

Meteorology is a branch of the atmospheric sciences (which include atmospheric chemistry and physics) with a major focus on weather forecasting. The study of meteorology dates back millennia, though significant progress in meteorology did not begin until the 18th century. The 19th century saw modest progress in the field after weather observation networks were formed across broad regions. Prior attempts at prediction of weather depended on historical data.

Weather forecasting

Weather forecasting is the application of science and technology to predict the conditions of the atmosphere for a given location and time. People have attempted to predict the weather informally for millennia and formally since the 19th century. Weather forecasts are made by collecting quantitative data about the current state of the atmosphere, land, and ocean and using meteorology to project how the atmosphere will change at a given place.

Numerical weather prediction

Numerical weather prediction (NWP) uses mathematical models of the atmosphere and oceans to predict the weather based on current weather conditions. Though first attempted in the 1920s, it was not until the advent of computer simulation in the 1950s that numerical weather predictions produced realistic results. A number of global and regional forecast models are run in different countries worldwide, using current weather observations relayed from radiosondes, weather satellites and other observing systems as inputs.

National Weather Service

The National Weather Service (NWS) is an agency of the United States federal government that is tasked with providing weather forecasts, warnings of hazardous weather, and other weather-related products to organizations and the public for the purposes of protection, safety, and general information. It is a part of the National Oceanic and Atmospheric Administration (NOAA) branch of the Department of Commerce, and is headquartered in Silver Spring, Maryland, within the Washington metropolitan area.

Ensemble forecasting

Ensemble forecasting is a method used in or within numerical weather prediction. Instead of making a single forecast of the most likely weather, a set (or ensemble) of forecasts is produced. This set of forecasts aims to give an indication of the range of possible future states of the atmosphere. Ensemble forecasting is a form of Monte Carlo analysis.

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