Determination of Stratospheric Wind Profiles by Digital Analysis.

1984 ◽  
Author(s):  
C. A. Trowbridge
Keyword(s):  
Digital Analysis ◽  
Stratospheric Wind ◽  
Wind Profiles

scholarly journals Analogue and digital analysis of the effects of some parameters in determination of the best experimental energy resolution

2014 ◽  
Vol 38 ◽  
pp. 203-213 ◽  
Author(s):  
Elif Ebru ERMİŞ ◽  
Gözde TEKTAŞ ◽  
Ercan PİLİÇER ◽  
Cüneyt ÇELİKTAŞ ◽  
Jiri PECHOUSEK
Keyword(s):  
Energy Resolution ◽  
Digital Analysis ◽  
Experimental Energy

scholarly journals Exploring fine-scale variability of stratospheric wind above the tropical la reunion island using rayleigh-mie doppler lidar

2018 ◽  
Vol 176 ◽  
pp. 03004 ◽  
Author(s):  
S. M. Khaykin ◽  
A. Hauchecorne ◽  
J.-P. Cammas ◽  
N. Marqestaut ◽  
J.-F. Mariscal ◽  
...  
Keyword(s):  
Reunion Island ◽  
Doppler Lidar ◽  
La Réunion ◽  
Temporal And Spatial Variability ◽  
Stratospheric Wind ◽  
Réunion Island ◽  
Wind Measurements ◽  
Fine Structures ◽  
Wind Profiles ◽  
La Réunion Island

A unique Rayleigh-Mie Doppler lidar capable of wind measurements in the 5-50 km altitude range is operated routinely at La Reunion island (21° S, 55° E) since 2015. We evaluate instrument’s capacities in capturing fine structures in stratospheric wind profiles and their temporal and spatial variability through comparison with collocated radiosoundings and ECMWF analysis. Perturbations in the wind velocity are used to retrieve gravity wave frequency spectrum.

Simultaneous kinetic determination of mixtures of ions by digital analysis of amperometric or potentiometric data

The Analyst ◽  
1978 ◽  
Vol 103 (1224) ◽  
pp. 227 ◽  
Author(s):  
Anne-Marie Albrecht-Gary ◽  
Jean-Paul Collin ◽  
Pierre Jost ◽  
Philippe Lagrange ◽  
Jean-Paul Schwing
Keyword(s):  
Digital Analysis ◽  
Kinetic Determination ◽  
Simultaneous Kinetic Determination ◽  
Potentiometric Data

scholarly journals Automatic Determination of Wind Profiles with Generalized SCIDAR

2004 ◽  
Vol 116 (822) ◽  
pp. 778-789 ◽  
Author(s):  
J.‐L. Prieur ◽  
R. Avila ◽  
G. Daigne ◽  
J. Vernin
Keyword(s):  
Automatic Determination ◽  
Wind Profiles

Determination of launch-vehicle response to detailed wind profiles

1965 ◽  
Vol 2 (1) ◽  
pp. 62-67 ◽  
Author(s):  
HAROLD C. LESTER ◽  
HOMER G. MORGAN
Keyword(s):  
Launch Vehicle ◽  
Vehicle Response ◽  
Wind Profiles

Determination of the vertical neutral temperature and wind profiles using EISCAT and HF Doppler radar

1984 ◽  
Vol 46 (6-7) ◽  
pp. 501-507 ◽  
Author(s):  
G. Crowley ◽  
T.B. Jones ◽  
T.R. Robinson ◽  
N.M. Wade ◽  
O. Holt
Keyword(s):  
Doppler Radar ◽  
Neutral Temperature ◽  
Wind Profiles

scholarly journals Determination of the Surface Roughness Parameter and Wind Shear Exponent of Kisii Region from the On-Site Measurement of Wind Profiles

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Ongaki N. Laban ◽  
Christopher M. Maghanga ◽  
Kerongo Joash
Keyword(s):  
Surface Roughness ◽  
Wind Shear ◽  
Roughness Parameter ◽  
Surface Roughness Parameter ◽  
Wind Speeds ◽  
Display Board ◽  
Mean Wind Speed ◽  
Wind Profiles ◽  
Monthly Variations

The research sought to investigate the surface roughness parameter (Zo) and wind shear exponent (α) of Kisii region (elevation 1710m above sea level, 0.68°S, 34.79°E). A six-month experiment was set at three sites of Kisii region. Two PRO AcuRite 01036 Wireless Weather Stations with pro+ 5-in-1 Sensors were placed at different hub heights above the ground and data were sent and received by a display board set at a room through remote sensing at an interval of 12 minutes. Data was collected from the display board through the pc connect software, grouped into discrete data and then calculated to represent mean wind speed, diurnal variation, daily variation, and monthly variations. The calculated averages of wind speeds at hub heights of 10m and 13m were then used to determine the wind shear exponent and surface roughness parameter of the sites. The wind shear exponents were found to be 0.92, 0.41, and 0.54 for Nyamecheo, Kisii University, and Ikobe stations, respectively, with an average of 0.64. The roughness parameter was also calculated and found to be 3.75, 1.32, and 1.96 for Nyamecheo, Kisii University (KSU), and Ikobe, respectively, with an average of 2.35.

Validation of ESA Aeolus wind observations using French ground-based Rayleigh Doppler lidars at midlatitude and tropical sites

2020 ◽  
Author(s):  
Alain Hauchecorne ◽  
Sergey Khaykin ◽  
Robin Wing ◽  
Jean-François Mariscal ◽  
Jacques Porteneuve ◽  
...  
Keyword(s):  
Wind Field ◽  
Tropical Indian Ocean ◽  
Horizontal Wind ◽  
Daily Routine ◽  
Horizontal Line ◽  
Double Edge ◽  
Orbital Configuration ◽  
Stratospheric Wind ◽  
Wind Profiles ◽  
La Réunion Island

<p>French ground-based Rayleigh Doppler lidars deployed at Observatoire de Haute Provence (OHP) in southern France (44° N, 6° E) and Observatoire du Maido (La Reunion island, tropical Indian Ocean, 21° S, 55° E) are among the primary instruments within ESA Aeolus Cal/Val programme.  The ground-based lidars are designed to measure vertical profiles of wind velocity in the altitude range 5 - 70 km with an accuracy better than 1 m/s up to 30 km. The horizontal wind components are obtained by measuring Doppler shift between emitted and backscattered light by means of double-edge Fabry-Perot interferometer. This technique, pioneered by French Service d’Aeronomie in 1989, is implemented in Aeolus ALADIN instrument.</p><p>We present the results of validation of Aeolus L2B horizontal line-of-sight wind profiles using the French Doppler lidars and regular radiosoundings. The point-by-point validation exercise relies on the dedicated validation campaigns at OHP in January and Maido in September-October 2019 involving simultaneous lidar acquisitions and collocated radiosonde ascents coincident with the nearest Aeolus overpasses. For evaluation of the long-term variation of the bias in Aeolus wind product, we use twice-daily routine radiosoundings performed by MeteoFrance and regular wind lidar observations at both sites.</p><p>The orbital configuration of Aeolus satellite enables 2 overpasses per week above OHP within 100 km range and 2 overpasses in the vicinity of Maido observatory, of which one being within 10 km range. Evaluation of Aeolus wind profiles is done in consideration of the expected mesoscale variability of wind field inferred from numerous lidar-radiosonde intercomparisons at both stations. In addition to the quantitative validation of Aeolus wind profiles, we attempt to evaluate the capacity of Aeolus observations in resolving fluctuations of stratospheric wind field induced by atmospheric gravity waves.</p>

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