Title: Metrics for Model Skill Assessment
1Metrics for Model Skill Assessment
- Model Error time series (model-data misfit)
- ME(i) model - data
- Total Root-Mean-Square Error RMS_Total
- RMS_Total2 RMS_Bias2 RMS_Variability2
- RMS_Bias difference between means
- RMS_Variability (centered pattern RMS)
- mean difference of deviations from mean
- RMS_Variability Correlation, Amplitude --gt
Taylor diagram - Amplitude of deviations
- Correlation of deviations
2Taylor Plot Graphical relationship between time
series based on four statistics 1) Overall
Mean Bias 2) Seasonal Variance Standard
Deviation 3) Timing/Phase Correlation
Coefficient 4) Root Mean Square Error Centered
RMS Distance (RMS_V)
3Taylor Diagram Example
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7new Run 801
old Run 751
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9Target Diagram as Skill Assessment Tool
RMS_T2 RMS_B2 RMS_V2
SAB SST climatology
model-data misfit variability in data
model-data misfit error in data
10SST
11Chlorophyll
12Chlorophyll
13Summary
Taylor Target diagrams are two complimentary
ways of assessing model skill - Taylor
Correlation of variability Amplitude
of variability (Bias) - Target
Total RMS Relative bias and
variability components
14Summary (cont.)
- SST
- Correlation 0.9 always
- satellite, in situ, 2004, climatology
- Amplitude of variability good
- especially for satellite 2004 comparisons
- underestimate in FL, GA
- overestimate everywhere north of SC
- Bias low
- underestimate in SAB in climatology, better
using 2004 - RMS_bias RMS_variability
- MLD
- Correlation always positive
- Higher in MAB (.8) than SAB (.5)
- Higher in outer SAB (gt.6) than inner SAB (lt.4)
- Amplitude of variability overestimate
variability - Except for MAB Outer shelf
- Bias generally low
15Summary (cont.)
- Surface chlorophyll - much greater challenge!
- Correlation -0.6 to 0.9 (same for Clim and
2004) - lower off NC, SC, NY
- Higher off FL, DE, NJ
- Amplitude of variability so-so (worse for 2004
in SAB) - underestimate in SAB
- overestimate in MAB
- Bias large negative bias everywhere
- underestimate in GA, SC (benthic production?)
- underestimate on inner MAB shelf
- RMS_bias gtgt RMS_variability
- Little correlation between where MLD/SST is
modeled - well (poorly) and where chlorophyll is modeled
well (poorly)
16Future Work
- Use these Taylor/Target diagrams to compare runs
- With/without tides
- With/without DOM
- Plot other quantities
- kPAR, productivity, oxygen, salinity
- Examine other regions
- Gulf of Maine
- Gulf Stream/Sargasso
- Use these for the OCRT meeting?
- Use these for the Oceanography article?