Enhancing Meteorological Insights: A Study of Uncertainty in CALMET DOI Creative Commons

Nina Miklavčič,

Rudi Vončina,

Maja Ivanovski

et al.

Meteorology, Journal Year: 2025, Volume and Issue: 4(2), P. 10 - 10

Published: April 7, 2025

Accurate weather forecasting is essential for various industries, particularly in sectors like energy, agriculture, and disaster management. In Slovenia, predictions are crucial estimating electrical current transmission efficiency through power lines ensuring the reliable supply of electricity to consumers. This study focuses on quantifying measurement uncertainty meteorological forecasts generated by CALMET model, specifically addressing its impact energy reliability. The research highlights those local factors, such as topography, that contribute significantly uncertainty, which affects accuracy forecasts. examines parameters temperature, wind speed, solar radiation, identifying how environmental variations lead fluctuations forecast Understanding these uncertainties critical improving precision forecasts, especially transmission, where even small errors can have substantial consequences. primary goal this enhance reliability uncertainty. By interpretation data, refining methods, integrating advanced models, proposes ways reduce These improvements could support better decision-making other rely accurate predictions. Ultimately, findings suggest key more dependable industries.

Language: Английский

Enhancing Meteorological Insights: A Study of Uncertainty in CALMET DOI Creative Commons

Nina Miklavčič,

Rudi Vončina,

Maja Ivanovski

et al.

Meteorology, Journal Year: 2025, Volume and Issue: 4(2), P. 10 - 10

Published: April 7, 2025

Accurate weather forecasting is essential for various industries, particularly in sectors like energy, agriculture, and disaster management. In Slovenia, predictions are crucial estimating electrical current transmission efficiency through power lines ensuring the reliable supply of electricity to consumers. This study focuses on quantifying measurement uncertainty meteorological forecasts generated by CALMET model, specifically addressing its impact energy reliability. The research highlights those local factors, such as topography, that contribute significantly uncertainty, which affects accuracy forecasts. examines parameters temperature, wind speed, solar radiation, identifying how environmental variations lead fluctuations forecast Understanding these uncertainties critical improving precision forecasts, especially transmission, where even small errors can have substantial consequences. primary goal this enhance reliability uncertainty. By interpretation data, refining methods, integrating advanced models, proposes ways reduce These improvements could support better decision-making other rely accurate predictions. Ultimately, findings suggest key more dependable industries.

Language: Английский

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