This paper deals with the statistical characterization of the wind velocity in complex terrains based on the measured data from unevenly spaced long-term anemometric stations. Three crucial issues are considered: (1) the incompleteness or discontinuity of the long-term datasets and its effects on the statistical analysis; (2) the consistency of the data transfer procedure from a reference site to a target site based on numerical simulations of the wind fields; and, (3) the techniques to transfer and interpolate data from concurrent anemometric datasets to a target site. These aspects are discussed considering, as a reference pilot test case, the wind climate of five port areas in the High Tyrrhenian Sea, namely Genoa, Savona, La Spezia, Liv...
The growth of new wind projects continues to be hampered by the lack of wind resource data. Such dat...
Applying and extending some previous researches, this paper proposes a map of Italian extreme winds ...
Windstorms result in significant damage and economic loss and are a major recurring threat in many c...
The paper investigates a selected data base acquired by anemometric stations spread on the Italian c...
Knowledge of weather dynamics is very important, because it controls the climate. These processes ar...
Knowledge of weather dynamics is very important, because it controls the climate. These processes ar...
The aim of this work is the analysis of anemometric data recorded by weather stations along the Cala...
Strong downslope windstorms often occur in the Liguria Region. This part of North-Western Italy is c...
In the last decade wind energy has proven to be one of the most competitive and fastest growing sour...
Site-specific wind potential assessment shows difficulties mainly because it needs very long on-site...
We present an algorithm that allows us to analyze the cross-correlation of wind velocity measured in...
The separation and classification of intense wind events into homogeneous families is a key topic to...
www.al-pro.de In the last few years the focus on more complex methods to model wind fields with thre...
Prediction of mean and extreme wind climate at a site from historical data contains intrinsic errors...
[1] The performance of the Weather Research and Forecasting (WRF) model to reproduce the surface win...
The growth of new wind projects continues to be hampered by the lack of wind resource data. Such dat...
Applying and extending some previous researches, this paper proposes a map of Italian extreme winds ...
Windstorms result in significant damage and economic loss and are a major recurring threat in many c...
The paper investigates a selected data base acquired by anemometric stations spread on the Italian c...
Knowledge of weather dynamics is very important, because it controls the climate. These processes ar...
Knowledge of weather dynamics is very important, because it controls the climate. These processes ar...
The aim of this work is the analysis of anemometric data recorded by weather stations along the Cala...
Strong downslope windstorms often occur in the Liguria Region. This part of North-Western Italy is c...
In the last decade wind energy has proven to be one of the most competitive and fastest growing sour...
Site-specific wind potential assessment shows difficulties mainly because it needs very long on-site...
We present an algorithm that allows us to analyze the cross-correlation of wind velocity measured in...
The separation and classification of intense wind events into homogeneous families is a key topic to...
www.al-pro.de In the last few years the focus on more complex methods to model wind fields with thre...
Prediction of mean and extreme wind climate at a site from historical data contains intrinsic errors...
[1] The performance of the Weather Research and Forecasting (WRF) model to reproduce the surface win...
The growth of new wind projects continues to be hampered by the lack of wind resource data. Such dat...
Applying and extending some previous researches, this paper proposes a map of Italian extreme winds ...
Windstorms result in significant damage and economic loss and are a major recurring threat in many c...