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Assimilation of near-surface temperature using extended Kalman filter
Praveen Kumar
, Amy L. Kaleita
Prairie Research Institute
Civil and Environmental Engineering
Climate, Meteorology and Atmospheric Sciences
National Center for Supercomputing Applications (NCSA)
Institute for Sustainability, Energy, and Environment
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Keyphrases
Predictive Ability
100%
Extended Kalman Filter
100%
Near-surface Temperature
100%
Error Covariance
100%
Lower Layer
100%
Discretized
33%
Diffusion Equation
33%
Heat Transfer
33%
Model Prediction
33%
Model Uncertainty
33%
Temperature Observations
33%
Soil Temperature
33%
Land Surface Model
33%
Soil Column
33%
Layer Soil
33%
Profile Prediction
33%
Model Drift
33%
Soil Temperature Profile
33%
Engineering
Extended Kalman Filter
100%
Predictive Capability
100%
Error Covariance
100%
Diffusion Equation
33%
Model Prediction
33%
Model Uncertainty
33%
Surface Model
33%
Initial Value
33%
Land Surface
33%
Soil Layer
33%
Temperature Profile
33%
Mathematics
Kalman Filtering
100%
Error Covariance
100%
Predictive Capability
100%
Diffusion Equation
33%
Observed Value
33%
Initial Value
33%