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Real-Time Mesoscale Analysis (RTMA): What is the NCEP RTMA and how can it be used?
Introduction
Outline
Learning Objectives
Why RTMA?
Applications of RTMA
Applications of RTMA
Applications of RTMA - Discussion
RTMA In Human Forecast Process
Inputs
Outputs
Feedback
All Together
RTMA Output Variables And Data Flow
RTMA Output Variables And Data Flow
Example - Isolated Dense Fog
Example - Subtropical Storm Andrea
RUC Downscaling
Terrain Differences
Method/Implications
Example
Observations Going Into RTMA
Observations Going Into RTMA
Quality Control
GSI Flow And Analysis Variables
Consequence Of Assuming Small Background Error For Velocity Potential
Inside GSI
How Close Draw To Obs
Obs Radius Of Influence
Terrain Effect On Obs Influence
Covariance Pictures
Example - Analysis Increment Shape Influence By Terrain
Analysis "Uncertainty"
Explanation
Example - Temperature
Example - Dewpoint
Example - Wind Speed
Limitations
Bad First Guess
RUC Can't Resolve a Feature
Bad Observations
Representativeness Issues
Terrain Variance
Terrain
Instrument Siting
Real Scenario
How GSI Handles It
Result
Assessment Over Complex Terrain
1
2
3
Precipitation Estimate
Input Data
Example
Limitations
Affected By Fire Smoke
Effective Cloud Amount
Background 1
Background 2
Example 1
Example 2
Summery
Overall
Limitations for GSI Fields
Limitations for Precip and Cloud Products
Conclusion
References
Contributors
Introduction
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