World’s first wind-mapping satellite set to launch

Nature ◽  
2018 ◽  
Vol 560 (7719) ◽  
pp. 420-421
Author(s):  
Alexandra Witze
Keyword(s):  
Wind Mapping

Wind-mapping satellite finally launches after 19 years in the works

Nature ◽  
2018 ◽  
Author(s):  
Alexandra Witze
Keyword(s):  
Wind Mapping

scholarly journals Wind mapping in Venus’ upper mesosphere with the IRAM-Plateau de Bure interferometer

2012 ◽  
Vol 546 ◽  
pp. A102 ◽  
Author(s):  
A. Moullet ◽  
E. Lellouch ◽  
R. Moreno ◽  
M. Gurwell ◽  
H. Sagawa
Keyword(s):  
Wind Mapping

3D-conductive pathway written on leather for highly sensitive and durable electronic whisker

2020 ◽  
Vol 8 (28) ◽  
pp. 9748-9754
Author(s):  
Ruijie Xie ◽  
Jingyu Zhu ◽  
Haibo Wu ◽  
Kang Zhang ◽  
Binghua Zou ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Surface Texture ◽  
Conductive Ink ◽  
Height Difference ◽  
Conductive Pathway ◽  
Highly Sensitive ◽  
Distribution Mapping ◽  
Texture Detection ◽  
Wind Mapping

A leather-based e-whisker with 3D conductive pathway was assembled by writing conductive ink on leather. The sensor possessed good durability, and was sensitive enough to detect a height difference of 50 μm, making it capable of surface texture detection, spatial distribution mapping, wind mapping, etc.

A High Altitude Airborne Wind Mapping Radar

2008 ◽  
Author(s):  
James R Carswell ◽  
Gerald Heymsfield ◽  
Lihua Li ◽  
Dan Schaubert ◽  
Justin Creticos
Keyword(s):  
High Altitude ◽  
Wind Mapping

scholarly journals Combined estimates improve high-resolution coastal wind mapping

Eos ◽  
2001 ◽  
Vol 82 (41) ◽  
pp. 469-469 ◽  
Author(s):  
D. R. Thompson ◽  
F. M. Monaldo ◽  
R. C. Beal ◽  
N. S. Winstead ◽  
W. G. Pichel ◽  
...  
Keyword(s):  
High Resolution ◽  
Wind Mapping

Simulation Research about HJ-1C SAR Wind Mapping Capability

2012 ◽  
Vol 500 ◽  
pp. 550-555
Author(s):  
Feng Feng Chen ◽  
Wei Gen Huang ◽  
Jing Song Yang
Keyword(s):  
Wave Spectrum ◽  
Surface Wind ◽  
Coastal Region ◽  
Sea Surface ◽  
Surface Model ◽  
Composite Surface ◽  
Envisat Asar ◽  
Wind Speeds ◽  
Sea Surface Wind ◽  
Wind Mapping

Synthetic aperture radar (SAR) on aboard Chinese Huan Jing (HJ)-1C satellite has been planed to be launched in 2010. The satellite will fly in a sun-synchronous polar orbit of about 500-km altitude. SAR will operate in S band with HH polarization. Its image mode has the incidence angles 25°and 47°at the near and far sides of the swath respectively. SAR image has a spatial resolution of 20 m with a swath of 100 km. Here, the sea surface wind mapping capability of the SAR in the Chinese Coastal Region has been examined using M4S radar imaging model developed by Romeiser et al. The model is based on Bragg scattering theory in a composite surface model expansion. It accounts for contributions of the full ocean wave spectrum to the radar backscatter from ocean surface. The model reproduces absolute normalized radar cross section (NRCS) values for wide ranges of wind speeds. The model results of HJ-1C SAR have been compared with the model results of Envisat and Radarsat SAR signals. It shows that HJ-1C SAR is as good as both Envisat ASAR and Radarsat SAR at sea surface wind mapping Capability.

Wind mapping of a region in the north-east of Algeria

1996 ◽  
Vol 9 (1-4) ◽  
pp. 789-793 ◽  
Author(s):  
K. Abdeladim ◽  
R. Romeo ◽  
S. Magrì
Keyword(s):  
North East ◽  
The North ◽  
Wind Mapping

Australian wind mapping technology

Refocus ◽  
2003 ◽  
Vol 4 (6) ◽  
pp. 15
Keyword(s):  
Mapping Technology ◽  
Wind Mapping

scholarly journals Wind Mapping of Singapore Using WindSim

2011 ◽  
Vol 20 (7) ◽  
pp. 839-843 ◽  
Author(s):  
Hyun-Goo Kim ◽  
Jia-Hua Lee
Keyword(s):  
Wind Mapping

Microscale Computational Fluid Dynamics Simulation for Wind Mapping Over Complex Topographic Terrains

2013 ◽  
Vol 135 (4) ◽  
Author(s):  
Ashkan Rasouli ◽  
Horia Hangan
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Spatial Resolution ◽  
Three Dimensional ◽  
Dynamics Simulation ◽  
Scale Model ◽  
Cfd Model ◽  
Cfd Simulations ◽  
Wide Range ◽  
Wind Mapping

Wind mapping is of utmost importance in various wind energy and wind engineering applications. The available wind atlases usually provide wind data with low spatial resolution relative to the wind turbine height and usually neglect the effect of topographic features with relatively large or sudden changes in elevation. Two benchmark cases are studied for computational fluid dynamics (CFD) model evaluation on smooth two-dimensional (2D) and three-dimensional (3D) hills. Thereafter, a procedure is introduced to build CFD model of a complex terrain with high terrain roughness heights (dense urban area with skyscrapers) starting from existing topography maps in order to properly extend the wind atlas data over complex terrains. CFD simulations are carried out on a 1:3000 scale model of complex topographic area using Reynolds averaged Navier–Stokes (RANS) equations along with shear stress transport (SST) k-ω turbulence model and the results are compared with the wind tunnel measurements on the same model. The study shows that CFD simulations can be successfully used in qualifying and quantifying the flow over complex topography consisting of a wide range of roughness heights, enabling to map the flow structure with very high spatial resolution.

Sign in / Sign up

Export Citation Format

Share Document