Modified shape of the Eiffel Tower determined for an atmospheric boundary-layer wind profile

2009 ◽  
Vol 21 (6) ◽  
pp. 067102 ◽  
Author(s):  
P. D. Weidman
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Wind Profile

scholarly journals Wind profile correction algorithm based on Atmospheric Boundary Layer stability profile

2021 ◽  
Author(s):  
Francisco Albuquerque Neto ◽  
Vinicius Almeida ◽  
Julia Carelli
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Wind Profile ◽  
Horizontal Wind ◽  
Boundary Layer Stability ◽  
Correction Algorithm ◽  
Horizontal Wind Speed ◽  
Study Region ◽  
Profile Correction ◽  
Wind Profiles

<p>In recent years, the use of radar wind profilers (RWP) at airports has grown significantly with the aim of supporting decision makers to maintain the safety of aircraft landings and takeoffs.</p><p>The RWP provide vertical profiles of averaged horizontal wind speed and direction and vertical wind velocity for the entire Atmospheric Boundary Layer (ABL) and beyond. In addition, RWP with Radio-Acoustic Sounding System (RASS) are able to retrieve virtual temperature profiles in the ABL.</p><p>RWP data evaluation is usually based on the so-called Doppler Beam Swinging method (DBS) which assumes homogeneity and stationarity of the wind field. Often, transient eddies violate this homogeneity and stationarity requirement. Hence, incorrect wind profiles can relate to transient eddies and present a problem for the forecast of high-impact weather phenomena in airports. This work intends to provide a method for removing outliers in such profiles based on historical data and other variables related to the Atmospheric Boundary Layer stability profile in the study region.</p><p>For this study, a dataset of almost one year retrieved from a RWP LAP3000 with RASS Extension is used for a wind profile correction algorithm development.</p><p>The algorithm consists of the detection of outliers in the wind profiles based on the thermodynamic structure of the ABL and the generation of the corrected profiles.</p><p>Results show that the algorithm is capable of identifying and correcting unrealistic variations in speed caused by transient eddies. The method can be applied as a complement to the RWP data processing for better data reliability.</p><p> </p><p>Keywords: atmospheric boundary layer; stability profile; wind profile</p>

An Idealized Mean Wind Profile for the Atmospheric Boundary Layer

2004 ◽  
Vol 110 (2) ◽  
pp. 281-299 ◽  
Author(s):  
John D. Wilson ◽  
Thomas K. Flesch
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Wind Profile

scholarly journals A universal wind profile for the inversion‐capped neutral atmospheric boundary layer

2019 ◽  
Vol 145 (720) ◽  
pp. 982-992 ◽  
Author(s):  
Mark Kelly ◽  
Roberto Alessio Cersosimo ◽  
Jacob Berg
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Wind Profile

scholarly journals UAV-borne coherent doppler lidar for marine atmospheric boundary layer observations

2018 ◽  
Vol 176 ◽  
pp. 02012
Author(s):  
Songhua Wu ◽  
Qichao Wang ◽  
Bingyi Liu ◽  
Jintao Liu ◽  
Kailin Zhang ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Motion Correction ◽  
Wind Profile ◽  
Layer Structure ◽  
Doppler Lidar ◽  
Marine Atmospheric Boundary Layer ◽  
Preliminary Results ◽  
Design Specifications ◽  
Coherent Doppler Lidar

A compact UAV-borne Coherent Doppler Lidar (UCDL) has been developed at the Ocean University of China for the observation of wind profile and boundary layer structure in Marine Atmospheric Boundary Layer (MABL). The design, specifications and motion-correction methodology of the UCDL are presented. Preliminary results of the first flight campaign in Hailing Island in December 2016 is discussed.

Doppler lidar experiences for the determination of the wind profile in the atmospheric boundary layer

1996 ◽  
Author(s):  
Christian Werner ◽  
Friedrich Koepp ◽  
Rolf Heilmann ◽  
Stephan Rahm ◽  
Juergen Streicher
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Wind Profile ◽  
Doppler Lidar

scholarly journals Atmospheric Boundary Layer Wind Profile Estimation Using Neural Networks Applied to Lidar Measurements

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3659
Author(s):  
Adrián García-Gutiérrez ◽  
Diego Domínguez ◽  
Deibi López ◽  
Jesús Gonzalo
Keyword(s):  
Neural Network ◽  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Wind Profile ◽  
Single Point ◽  
Near Surface ◽  
Cfd Models ◽  
The Neural Network ◽  
Ground Measurement ◽  
Wind Resource

This paper introduces a new methodology for estimating the wind profile within the ABL (Atmospheric Boundary Layer) using a neural network and a single-point near-ground measurement. An important advantage of this solution when compared with others available in the literature is that it only requires near surface measurements for the prognosis once the neural network is trained. Another advantage is that it can be used to study the wind profile temporal evolution. This work uses data collected by a lidar sensor located at the Universidad de León (Spain). The neural network best configuration was determined using sensibility analyses. The result is a multilayer perceptron with three layers for each altitude: the input layer has six nodes for the last three measurements, the second has 128 nodes and the third consists of two nodes that provide u and v. The proposed method has better performance than traditional methods. The obtained wind profile information obtained is useful for multiple applications, such as preliminary calculations of the wind resource or CFD models.

scholarly journals Seasonal Variations of the Near-Surface Atmospheric Boundary Layer Structure in China’s Gurbantünggüt Desert

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Ali Mamtimin ◽  
Yu Wang ◽  
Hajigul Sayit ◽  
XingHua Yang ◽  
Fan Yang ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Wind Profile ◽  
Lapse Rate ◽  
Vertical Temperature ◽  
Near Surface ◽  
Temperature Lapse Rate ◽  
Autumn And Winter ◽  
Transition Type ◽  
Radiation Type

As the largest fixed and semifixed desert in China, the Gurbantünggüt Desert has a longperiod of snow in winter and the rapid growth of ephemeral plants in spring, presentingthe obvious seasonal changes in the underlying desert surface type, which could lead to the significantvariety in the near-surface boundary layer over this desert. To clarify the influence of the underlying surface change on the near-surface atmospheric boundary layer, gradient tower data and Eddy covariance data in 2017 were analyzed. The results were as follows: the wind profile can be divided into the nocturnal stable boundary layer and the daytime unstable boundary in spring, summer, and autumn, while the wind profile dominating nighttime stability in winter. During the study period, the four-season temperature profiles can be divided into four types: night radiation type, morning transition type, daylight solar radiation type, and evening transition type, and the temperature difference between spring and summer is more than that of autumn and winter. The vertical temperature lapse rate can reach 4.5°C/100 m in spring and summer, while the vertical temperature lapse rate is 0.5°C/100 m in winter. The special humidity value in summer and spring is greater than autumn and winter. The profile is almost in the inverse humidity state at almost all periods in winter. The inverse humidity phenomenon occurred on the autumn night. Besides, the specific humidity is closely related to the temperature and the near-surface wind speed. The “rapid change” of the underlying surface of the spring desert region affects the surface energy budget, which affects the turbulent energy and the stability of the near-surface layer, thus affecting the changes in temperature, humidity, and wind profile.

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