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INIS
machine learning
88%
meteorology
78%
weather
77%
prediction
77%
errors
63%
wind
59%
corrections
59%
speed
59%
humidity
59%
temperature range
44%
processing
44%
cloud cover
44%
information
44%
range
38%
data
23%
resolution
22%
comparative evaluations
16%
images
14%
production
14%
radar
14%
architecture
14%
clouds
14%
output
8%
accuracy
8%
roots
8%
implementation
8%
availability
8%
forecasting
7%
losses
7%
satellites
7%
power generation
7%
performance
7%
sensitivity
7%
agriculture
7%
neural networks
7%
Earth and Planetary Sciences
Nowcasting
100%
Machine Learning
88%
Weather Condition
81%
Wind Velocity
59%
Cloud Cover
44%
Information Source
29%
Relative Humidity
25%
Real Time
11%
Meteorological Parameter
11%
Systematic Error
11%
Root-Mean-Square Error
11%
Xgboost
11%
Machine Learning Model
11%
Solar Energy
7%
Satellite Data
7%
Energy Generation
7%
Public Sector
7%
Private Sector
7%
Solar Power
7%
U-Net
7%
Keyphrases
CloudCast
44%
Cloud Cover Nowcasting
44%
Machine Learning Bias
29%
2-m Temperature
14%
XGBoost Tree
14%
10-m Wind Speed
14%
Short-range Forecast
14%
Real-time Forecasting
14%
Extreme Gradient
14%
Total Cloud Cover
14%
Relative Wind
7%
High Resolution numerical Weather Prediction
7%
Forecast Production
7%
Forecaster
7%
Image Morphing
7%
Sensitivity Experiments
7%