نتایج جستجو برای: average wind speed

تعداد نتایج: 636632  

2003
A. C. Cummings E. C. Stone L. F. Burlaga N. F. Ness F. B. McDonald W. R. Webber

We report on the diffusive flow anisotropies observed in low-energy protons during intensity increases at Voyager 1 in 2001 and 2002. We propose that the unusual increased intensities after mid-2002 are due to particles accelerated by the solar wind termination shock or by the turbulent interface between the high-speed and low-speed solar wind flows. Fig. 1. (top) Three-day moving average inten...

Journal: :Journal of anatolian environmental and animal sciences 2022

In recent years, fuzzy inference systems have been used as an effective method for forecasting problems instead of classical time series methods. Fuzzy are based on sets and use membership values well the original data. The regression functions approach, which is one popular systems, has different importance from many with its features that it does not a rule base easier to apply, unlike in lit...

Wind is one of the important natural phenomena in arid and semi-arid ecosystems of the world. Although several studies have been conducted using the wind speed and direction to provide wind rose in each area, only a few of them investigated the possibility of wind speed at different return periods. Analysis of the maximum wind speed at different return periods, in a variety of projects such as ...

2000
A. Parvaresh

In this study we have analysed wind and wave time series data resulting from hourly measurements on the sea surface in Bushehr, the northern part of the Persian Gulf, from 15 July to 4 August 2000. Wind speed (U10) ranged from 0.34 to 10.38 m/s as alternating sea and land breezes. The lowest wind speed occurs at about midnight and the highest at around noon. The calculated autocorrelation of wi...

2004
Tilmann Gneiting Kristin Larson Kenneth Westrick Marc G. Genton Eric Aldrich

With the global proliferation of wind power, accurate short-term forecasts of wind resources at wind energy sites are becoming paramount. Regime-switching space-time (RST) models merge meteorological and statistical expertise to obtain accurate and calibrated, fully probabilistic forecasts of wind speed and wind power. The model formulation is parsimonious, yet takes account of all the salient ...

Journal: :پژوهش های جغرافیای طبیعی 0
قاسم عزیزی حسین علی قنبری

through this article, the distribution of air pollutants in tehran have been simulated based on wind patterns with and without the presence of synoptic by tapm (a meso-scale model). the simulation covers three horizontal resolution domains 30, 15 and 5 kilometers. the pollutants chosen for this are co and pm10 and wind data is 10 meter height level. the result has shown that the model simulated...

2011
Bing Dong Xiaoqian Jiang

In this paper, we developed a new method to forecast 10minutes ahead wind speed based on Heteroscdastic Gaussian Process and investigated the impacts of this predicting on a mix-mode operated building. The forecasting result shows the mean absolute percentage error (MAPE) of 9.2%. The indoor air temperature, infiltration air change rate and cooling energy consumption varied 25% in average compa...

1959
WEATHER BUREAU

On the basis of wind speeds and accelerations derived from U.S. Navy sponsored 300-mb. constant level balloon or transosonde flights made during 1953, 1955, and 1956, statistics are presented on the magnitude of the ageostrophic wind and its variation with latitude and wind speed. These qtatistics indicate that at 300 mb. the average angle between wind and geostrophic wind is 11 degrees ,and th...

Introduction: Climatic components are the vital factors influencing the dust event. It was believed that changes in climate parameters play a crucial role in the occurrence of dust events. Former studies have shown that temperature, rainfall, and wind speed contribute to poor vegetation, providing requirements of dust events. Long-term dust data indicated that climate has a profound effect on d...

2016
Erasmo Cadenas Wilfrido Rivera Christopher Heard Nicolas de Hidalgo Guido Carpinelli

Two on step ahead wind speed forecasting models were compared. A univariate model was developed using a linear autoregressive integrated moving average (ARIMA). This method’s performance is well studied for a large number of prediction problems. The other is a multivariate model developed using a nonlinear autoregressive exogenous artificial neural network (NARX). This uses the variables: barom...

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