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CNKI会议论文(1)
CNKI学位论文(37)
知网期刊论文(64)
在“
Elsevier电子期刊
”中,
命中:
95
条,耗时:0.0629681 秒
在所有数据库中总计命中:
102
条
1.
Novel SVM-based technique to improve rainfall estimation over the Mediterranean region (north of Algeria) using the multispectral MSG SEVIRI imagery
作者:
Mounir Sehad
;
Mourad Lazri
;
m_lazri@yahoo.fr
;
Soltane Ameur
关键词:
Meteosat
Second
Generation
(MSG)
;
Weather radar
;
Support vector machine (SVM)
;
Rainfall estimation
刊名:Advances in Space Research
出版年:2017
2.
Resource assessment of the renewable energy potential for a remote area: A review
作者:
Nima Izadyar
a
;
Hwai Chyuan Ong
a
;
onghc@um.edu.my" class="auth_mail" title="E-mail the corresponding author
;
ong1983@yahoo.com" class="auth_mail" title="E-mail the corresponding author
;
W.T. Chong
a
;
K.Y. Leong
b
关键词:
AGL
;
Above Ground Level
;
MCP
;
Measure Correlate Predict
;
CNT
;
Centralized
;
MDM
;
Metrological Department Malaysia
;
CSP
;
Concentrating Solar Power
;
MMD
;
Malaysian Meteorological Department
;
DCNT
;
Decentralized
;
MHP
;
Micro Hydropower
;
DEM
;
Digital Elevation Model
;
MSG
;
Meteosat
Second
Generation
;
DG
;
Diesel Generator
;
NCAR
;
National Center for Atmospheric Research
;
DNI
;
Direct Normal Irradiance
;
NCEP
;
National Center for Environmental Prediction
;
ECMWF
;
European Centre for Medium-Range Weather Fore
刊名:Renewable and Sustainable Energy Reviews
出版年:2016
3.
Application of high-resolution visible sharpening of partly cloudy pixels in
Meteosat
Second
Generation
infrared imagery
作者:
John R. Mecikalski
;
Marianne K?nig
;
Christopher P. Jewett
关键词:
Visible sharpening
;
Meteosat
Second
Generation
;
Cumulus cloud development
;
Convective initiation
;
High resolution visible
刊名:Atmospheric Research
出版年:2013
4.
Prediction of Cloudiness in Short Time Periods using Techniques of Remote Sensing and Image Processing
作者:
Joaquí
;
n Alonso
a
;
Antonio Ternero
b
;
Francisco J. Batlles
a
;
fbatlles@ual.es" class="auth_mail
;
Gabriel Ló
;
pez
c
;
Jorge Rodrí
;
guez
b
;
Juan I. Burgaleta
b
关键词:
forecast
;
cloudiness
;
remote sensing
;
Meteosat
Second
Generation
;
sky cameras
刊名:Energy Procedia
出版年:2014
5.
Calibration of solar radiation models for Europe using
Meteosat
Second
Generation
and weather station data
作者:
J?drzej S. Bojanowski
a
;
jedrzej.bojanowski@meteoswiss.ch
;
Anton Vrieling
b
;
Andrew K. Skidmore
b
关键词:
Solar radiation
;
Model calibration
;
MSG-SEVIRI
;
MARS Crop Yield Forecasting System
;
Remote sensing
;
Spatial interpolation
刊名:Agricultural and Forest Meteorology
出版年:2013
6.
A surface radiation climatology across two
Meteosat
satellite
generation
s
作者:
R. Posselt
;
R. Mueller
;
J. Trentmann
;
R. Stockli
;
M.A. Liniger
关键词:
Solar surface irradiance
;
Climate data records
;
Satellite remote sensing
刊名:Remote Sensing of Environment
出版年:25 February, 2014
7.
An innovative remote sensing based reference evapotranspiration method to support irrigation water management under semi-arid conditions
作者:
M. Cruz-Blanco
;
I.J. Lorite
;
C. Santos
关键词:
Reference evapotranspiration
;
Remote sensing
;
Meteosat
Second
Generation
;
Penman&ndash
;
Monteith FAO56
;
Irrigation water requirements
;
AquaCrop
刊名:Agricultural Water Management
出版年:1 January, 2014
8.
Angular dependence of the albedo estimated in models for solar radiation derived from geostationary satellites
作者:
J. Polo
a
;
jesus.polo@ciemat.es
;
J.M. Vindel
a
;
L. Martí
;
n
b
关键词:
Solar Radiation derived from satellite
;
Ground albedo
;
GOES
;
Meteosat
Second
Generation
;
Meteosat
IODC
刊名:Solar Energy
出版年:2013
9.
Monitoring and automatic detection of the cold-ring patterns atop deep convective clouds using
Meteosat
data
作者:
Mateja Ir&scaron
;
i? ?ibert
a
;
mateja.irsic@gov.si
;
Janez ?ibert
b
关键词:
Meteosat
second
generation
;
Deep convective storm
;
Cold ring shape
;
Cold U/V shape
;
Storm top
;
Automatic detection algorithm
刊名:Atmospheric Research
出版年:2013
10.
Improving the accuracy of rainfall rates from optical satellite sensors with machine learning 鈥?A random forests-based approach applied to MSG SEVIRI
作者:
Meike K眉hnlein
;
Tim Appelhans
;
Boris Thies
;
Thomas Nauss
关键词:
Rainfall rate
;
Rainfall retrieval
;
Random forests
;
Machine learning
;
MSG SEVIRI
;
Geostationary satellites
;
Optical sensors
刊名:Remote Sensing of Environment
出版年:5 February, 2014
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