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aerocom:faq_aerocom [2015-06-22 16:12:57]
michaels |
aerocom:faq_aerocom [2022-05-31 09:29:31] (current)
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| | ATTENTION - THIS WIKI PAGE IS NO LONGER UPDATED - PLEASE GO TO [[http://aerocom.met.no/|aerocom.met.no]]FOR LATEST INFO |
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| ====== Frequently asked questions AeroCom Web Interface ====== | ====== Frequently asked questions AeroCom Web Interface ====== |
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| "NMB": Normalized mean bias, = (Mod-Obs)/Obs | "NMB": Normalized mean bias, = (Mod-Obs)/Obs |
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| "RMS": Root Mean Square Error: SQRT(Sum((y'-x')^2)/#) | "RMS": Root Mean Square Error: SQRT(Sum( (y'-x')^2)/#) |
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| "R": Pearson Correlation Coefficient | "R": Pearson Correlation Coefficient |
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| "RMSbc": Bias corrected RMS: SQRT(Sum((ybc'-x')^2)/#) ; ybc' contains all model/data values corrected for the NMB bias. ybc=y*(Sum(x)/Sum(y)) | "RMSbc": Bias corrected RMS: SQRT(Sum( (ybc'-x')^2)/#) ; ybc' contains all model/data values corrected for the NMB bias. ybc=y*(Sum(x)/Sum(y)) |
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| "RMSspatial": | "RMSspatial": RMS from yearly mean station vales in observations and models. Model values consistently chosen for times when observations are available. |
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| "RMStemporal": | "RMStemporal": Residual RMS after subtracting RMSspatial from RMS ( RMStemporal = SQRT( RMS^2 - RMSspatial^2 ), assuming error propagation and no covariance in temporal and spatial fields) |
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| | ...additional statistics in score tables |
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| | "Spearman Rank Correlation": https://en.wikipedia.org/wiki/Spearman%27s_rank_correlation_coefficient |
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| | "Spatial yearly Mean Corr Coeff": Pearson correlation coefficient from yearly mean values |
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| | "Seasonal Anomaly Corr Coeff": Correlation coefficient of local anomalies wrt to annual mean. |
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| | "Slope fit forced through zero": Regression of model on obs data, slope |
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| | "Regression coefficient": Regression of model on obs data, regression |
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| | "Regression constant, offset": Y intercept |
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| | "STDDEV(Model)/STDDEV(Data)". Ratio of standard deviations |
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| | "Score (mean relative bias )": sum(abs(tm-td))/# [ tm= model values, td= obs values ] |
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| For daily data analysis, RMS is split into the "spatial" RMS, calculated from monthly/seasonal/yearly averages and the "temporal" RMS, which is the residual (RMS^2temp=RMS^2-RMS^2spatial) | "Taylor score": 4*(1+r)/((1+0.9)*(sm/sd+sd/sm)*(sm/sd+sd/sm) ) [ sm= Stddev of model, sd=Stddev of observations ] |
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| ==== Known bugs/problems/wishes ==== | ==== Known bugs/problems/wishes ==== |
| -mountain sites are compared from surface level model output, use relative height\\ | -mountain sites are compared from surface level model output, use relative height\\ |