Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Francesco Zanetta"'
Correctly representing surface wind is critical for applications such as renewable energy, snow modelling or warning systems. However, numerical weather prediction models with their limited resolution cannot fully represent the strong variability due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d3b071c55d7f1123facc9932c7a0fb8
https://doi.org/10.5194/egusphere-egu23-15152
https://doi.org/10.5194/egusphere-egu23-15152
Autor:
Daniele Nerini, Francesco Zanetta, Mathieu Schaer, Jonas Bhend, Christoph Spirig, Lionel Moret, Mark A. Liniger
Forecasting winds at the local scale can be challenging due to the highly variable and complex nature of wind patterns, particularly in the case of complex terrain. In such cases, the accuracy of numerical weather prediction models (NWPs) is often li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6241da2dd8da940e92f3019b02d81f47
https://doi.org/10.5194/egusphere-egu23-14973
https://doi.org/10.5194/egusphere-egu23-14973
Autor:
Francesco Zanetta, Daniele Nerini
Traditional post-processing methods aim at minimizing forecast error. This often leads to predictions that violate physical principles and disregard dependencies between variables. However, for various impact-based applications such as hydrological f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::263dd2caf4dc15ea735b485e5fd7f35e
https://doi.org/10.5194/egusphere-egu22-1201
https://doi.org/10.5194/egusphere-egu22-1201
Autor:
Francesco Zanetta, Daniele Nerini
Surface wind is an extremely difficult parameter to predict, particularly in the complex topography of the Alps. Due to several important processes happening at sub-kilometer scale, even high resolution Numerical Weather Prediction models such as COS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7d166ab336e3e04bc55be5653eaa491
https://doi.org/10.5194/ems2021-331
https://doi.org/10.5194/ems2021-331