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Assessing sensitivity of source term estimation
Kerrie J. Long
, Sue Ellen Haupt
, George S. Young
Meteorology and Atmospheric Science
Institute for Computational and Data Sciences (ICDS)
Research output
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Contribution to journal
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Article
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peer-review
54
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Scopus citations
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Dive into the research topics of 'Assessing sensitivity of source term estimation'. Together they form a unique fingerprint.
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Keyphrases
Source Term Estimation
100%
Source Term
50%
Atmospheric Dispersion Modelling
50%
Data Quality
25%
Temporal Resolution
25%
Number of Sensors
25%
Genetic Algorithm
25%
Best Matches
25%
Spatial Resolution
25%
Minimum number
25%
Sensitivity Analysis
25%
Wind Direction
25%
Concentration Field
25%
Uncertain Data
25%
Estimation Algorithms
25%
Numerical Experiments
25%
Puffing
25%
Additive Noise
25%
Source Strength
25%
Source Location
25%
Dispersion Model
25%
Meteorological Variables
25%
Grid Sensitivity
25%
Meteorological Data
25%
Identical Twins
25%
Synthetic Data
25%
Surface Wind
25%
Data Quantity
25%
Robust Optimization
25%
Inherent Uncertainty
25%
Minimum Requirements
25%
Multiplicative Noise
25%
Wind Field Data
25%
Sensor Observation
25%
Estimation System
25%
Surface Wind Speed
25%
Strength Surface
25%
Earth and Planetary Sciences
Surface Wind
100%
Atmospheric Transport
100%
Wind Direction
50%
Wind Velocity
50%
Wind Field
50%
Genetic Algorithm
50%
Engineering
Source Term
100%
Genetic Algorithm
16%
Spatial Resolution
16%
Gaussians
16%
Field Data
16%
Concentration Field
16%
Metrics
16%
Optimization Technique
16%
Additive Noise
16%
Source Strength
16%
Numerical Experiment
16%
Multiplicative Noise
16%
Temporal Resolution
16%