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High Resolution Active Optical Remote Sensing Observations of Aerosols, Clouds and Aerosol-Cloud Interactions and Their Implication to Climate
High Resolution Active Optical Remote Sensing Observations of Aerosols, Clouds and Aerosol-Cloud Interactions and Their Implication to Climate
Autore Lolli Simone
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (242 p.)
Soggetto topico Research & information: general
Soggetto non controllato rainfall
lidar
disdrometer
evaporation
meteorology
climate change
latent heat
precipitation
MOD04
Dark-Target
Deep-Blue
AERONET
LiDAR
AOD
Beijing
China
CALIPSO
dust top height
frequency of dust occurrence
pure dust
polluted dust
extinction coefficient
above-cloud aerosol
low-level cloud
cloud base height
ground-based observations
relative humidity profile
threshold
Yunnan–Kweichow Plateau
low–latitude plateau monsoon climate
aerosol type and source
aerosol properties
monsoon index
seasonal variation
aerosol
aerosol–cloud interactions
MPLNET
image processing
network
infrastructure
virga
black carbon
Tibetan plateau
water vapor transport
South Asian summer monsoon
East Asian summer monsoon
PM2.5
radar wind profiler
wind shear
dual-field-of-view (FOV)
geometric overlap factor (GOF)
blind zone
transition zone
mass concentration
stereo-monitoring networks
Doppler LiDAR
spatial wind variability
air quality
turbulent mixing
cloud
Hong Kong
aerosols
remote sensing
wind lidar
air-pollution
radiative effects
ground based remote sensing
aerosols optical properties
lidar ratio
aerosol type
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557703303321
Lolli Simone  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Wind Turbine Aerodynamics
Wind Turbine Aerodynamics
Autore Shen Wen Zhong
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (410 p.)
Soggetto non controllato simplified free vortex wake
H-type VAWT
variable pitch
wind tunnel experiment
rotor blade optimization
Non-dominated Sorting Genetic Algorithm (NSGA-II)
wake effect
wind turbine noise propagation
RANS
axial steady condition
wind turbine blades
optimization
computational fluid dynamic
straight blade
typhoon
gradient-based
image processing
actuator line method
piezo-electric flow sensor
stall
turbulence
airfoil design
vortex ring
defects
DMST model
wind turbine design
S809 airfoil
dynamic fluid body interaction
Computational Fluid Dynamics
ABL stability
semi-submersible platform
random search
floating offshore wind turbine
blade length
adjoint approach
Fatigue Loads
wind turbine optimization
wind turbine airfoil
particle swarm optimization
rotational augmentation
NREL Phase VI
mechanical performance
coupling of aerodynamics and hydrodynamics
tip speed ratio
aerodynamics
oscillating freestream
super-statistics
blade element momentum theory
wind turbine
wind energy
boundary layer separation
wind turbine blade optimization
actuator disc
dynamic stall
complex terrain
laminar-turbulent transition
SCADA
OpenFOAM
atmospheric stability
computational fluid dynamics
economic analysis
OC5 DeepCWind
wind tunnel
actuator disk
meso/microscale
cost of energy
power coefficient
pitch oscillation
condition monitoring
aerodynamic characteristics
blade parametrization
wind turbine wakes
truss Spar floating foundation
wind resource assessment
wind shear
wind turbine noise source
design
low wind speed areas
aerodynamic
wind farm
met mast measurements
turbulent inflow
VAWTs (Vertical axis wind turbines)
thermography
wind speed extrapolation
MEXICO
wind turbine wake
aerodynamic force
layout optimization
H-type floating VAWT
LES
NACA0012
ISBN 3-03921-525-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367755203321
Shen Wen Zhong  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui