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Probabilistic empirical prediction of seasonal climate: evaluation and potential applications
Jonathan Eden
, Geert Jan van Oldenborgh
Royal Netherlands Meteorological Institute
Research output
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Contribution to conference
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Abstract
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Dive into the research topics of 'Probabilistic empirical prediction of seasonal climate: evaluation and potential applications'. Together they form a unique fingerprint.
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Earth and Planetary Sciences
Prediction
100%
Climate
44%
Information
33%
Ability
33%
Month
22%
Model
22%
Dynamical System
22%
Evaluation
22%
Utilization
22%
Availability
11%
Physical Process
11%
Bias
11%
Stakeholder
11%
Alternative
11%
Variability
11%
Good
11%
Product
11%
Government
11%
Weather Condition
11%
Risk
11%
Earth
11%
Sea Level Pressure
11%
Comparison
11%
Non-Governmental Organisation
11%
Regression
11%
Value
11%
Area
11%
Air Temperature
11%
Persistence
11%
Climatology
11%
Computer Science
Application
22%
Evaluation
22%
Dynamical System
22%
Availability
11%
Nongovernmental Organization
11%
Future Development
11%
Potential Application
11%
Regression
11%
Stakeholders
11%
Benchmark
11%
References
11%
Psychology
Multiple Linear Regression
22%
Evaluation
22%
Biases
11%
Temperature
11%
Social Sciences
Climatology
11%