monet.util.stats

Functions

`AC`(obs, mod[, axis])	Anomaly Correlation
`CSI`(obs, mod, minval, maxval)	Critical Success Index (1 is perfect - Range 0 -> 1)
`E1`(obs, mod[, axis])	Modified Coefficient of Efficiency, E1
`ETS`(obs, mod, minval, maxval)	Equitable Threat Score (1 is perfect - Range -1/3 -> 1)
`FB`(obs, mod[, axis])	Fractional Bias (%)
`FE`(obs, mod[, axis])	Fractional Error (%)
`HSS`(obs, mod, minval, maxval)	Heidke Skill Score (1 is perfect - below zero means no confidence)
`IOA`(obs, mod[, axis])	Index of Agreement, IOA
`IOA_m`(obs, mod[, axis])	Index of Agreement, IOA (avoid single block error in np.ma)
`MB`(obs, mod[, axis])	Mean Bias
`ME`(obs, mod[, axis])	Mean Gross Error (model and obs unit)
`MNB`(obs, mod[, axis])	Mean Normalized Bias (%)
`MNE`(obs, mod[, axis])	Mean Normalized Gross Error (%)
`MNPB`(obs, mod, paxis[, axis])	Mean Normalized Peak Bias (%)
`MNPE`(obs, mod, paxis[, axis])	Mean Normalized Peak Error (%)
`MO`(obs, mod[, axis])	Mean Observations (obs unit)
`MP`(obs, mod[, axis])	Mean Predictions (model unit)
`MdnB`(obs, mod[, axis])	Median Bias
`MdnE`(obs, mod[, axis])	Median Gross Error (model and obs unit)
`MdnNB`(obs, mod[, axis])	Median Normalized Bias (%)
`MdnNE`(obs, mod[, axis])	Median Normalized Gross Error (%)
`MdnNPB`(obs, mod, paxis[, axis])	Median Normalized Peak Bias (%)
`MdnNPE`(obs, mod, paxis[, axis])	Median Normalized Peak Bias (%)
`MdnO`(obs, mod[, axis])	Median Observations (obs unit)
`MdnP`(obs, mod[, axis])	Median Predictions (model unit)
`NMB`(obs, mod[, axis])	Normalized Mean Bias (%)
`NMB_ABS`(obs, mod[, axis])	Normalized Mean Bias - Absolute of the denominator (%)
`NME`(obs, mod[, axis])	Normalized Mean Error (%)
`NME_m`(obs, mod[, axis])	Normalized Mean Error (%) (avoid single block error in np.ma)
`NME_m_ABS`(obs, mod[, axis])	Normalized Mean Error (%) - Absolute of the denominator (avoid single block error in np.ma)
`NMPB`(obs, mod, paxis[, axis])	Normalized Mean Peak Bias (%)
`NMPE`(obs, mod, paxis[, axis])	Normalized Mean Peak Error (%)
`NMdnB`(obs, mod[, axis])	Normalized Median Bias (%)
`NMdnE`(obs, mod[, axis])	Normalized Median Error (%)
`NMdnGE`(obs, mod[, axis])	Normalized Median Gross Error (%)
`NMdnPB`(obs, mod, paxis[, axis])	Normalized Median Peak Bias (%)
`NMdnPE`(obs, mod, paxis[, axis])	Normalized Median Peak Bias (%)
`NO`(obs, mod[, axis])	N Observations (#)
`NOP`(obs, mod[, axis])	N Observations/Prediction Pairs (#)
`NP`(obs, mod[, axis])	N Predictions (#)
`PSUTMNPB`(obs, mod[, axis])	Paired Space/Unpaired Time Mean Normalized Peak Bias (%)
`PSUTMNPE`(obs, mod[, axis])	Paired Space/Unpaired Time Mean Normalized Peak Error (%)
`PSUTMdnNPB`(obs, mod[, axis])	Paired Space/Unpaired Time Median Normalized Peak Bias (%)
`PSUTMdnNPE`(obs, mod[, axis])	Paired Space/Unpaired Time Median Normalized Peak Error (%)
`PSUTNMPB`(obs, mod[, axis])	Paired Space/Unpaired Time Normalized Mean Peak Bias (%)
`PSUTNMPE`(obs, mod[, axis])	Paired Space/Unpaired Time Normalized Mean Peak Error (%)
`PSUTNMdnPB`(obs, mod[, axis])	Paired Space/Unpaired Time Normalized Median Peak Bias (%)
`PSUTNMdnPE`(obs, mod[, axis])	Paired Space/Unpaired Time Normalized Median Peak Error (%)
`R2`(obs, mod[, axis])	Coefficient of Determination (unit squared)
`RM`(obs, mod[, axis])	Mean Ratio Observations/Predictions (none)
`RMSE`(obs, mod[, axis])	Root Mean Square Error (model unit)
`RMSEs`(obs, mod[, axis])	Root Mean Squared Error (obs, mod_hat)
`RMSEu`(obs, mod[, axis])	Root Mean Squared Error (mod_hat, mod)
`RMdn`(obs, mod[, axis])	Median Ratio Observations/Predictions (none)
`STDO`(obs, mod[, axis])	Standard deviation of Observations
`STDP`(obs, mod[, axis])	Standard deviation of Predictions
`USUTPB`(obs, mod[, axis])	Unpaired Space/Unpaired Time Peak Bias (%)
`USUTPE`(obs, mod[, axis])	Unpaired Space/Unpaired Time Peak Error (%)
`WDAC`(obs, mod[, axis])	Wind Direction Anomaly Correlation
`WDIOA`(obs, mod[, axis])	Wind Direction Index of Agreement, IOA
`WDIOA_m`(obs, mod[, axis])	Wind Direction Index of Agreement, IOA (avoid single block error in np.ma)
`WDMB`(obs, mod[, axis])	Wind Direction Mean Bias
`WDMB_m`(obs, mod[, axis])	Wind Direction Mean Bias (avoid single block error in np.ma)
`WDME`(obs, mod[, axis])	Wind Direction Mean Gross Error (model and obs unit)
`WDME_m`(obs, mod[, axis])	Wind Direction Mean Gross Error (model and obs unit) (avoid single block error in np.ma)
`WDMdnB`(obs, mod[, axis])	Wind Direction Median Bias
`WDMdnE`(obs, mod[, axis])	Wind Direction Median Gross Error (model and obs unit)
`WDNMB_m`(obs, mod[, axis])	Wind Direction Normalized Mean Bias (%) (avoid single block error in np.ma)
`WDRMSE`(obs, mod[, axis])	Wind Direction Root Mean Square Error (model unit)
`WDRMSE_m`(obs, mod[, axis])	Wind Direction Root Mean Square Error (model unit) (avoid single block error in np.ma)
`circlebias`(b)	Short summary.
`circlebias_m`(b)	avoid single block error in np.ma
`d1`(obs, mod[, axis])	Modified Index of Agreement, d1
`matchedcompressed`(a1, a2)	Short summary.
`matchmasks`(a1, a2)	Short summary.
`scores`(obs, mod, minval[, maxval])	Calculate scores.
`stats`(df, minval, maxval)	Short summary.

monet.util.stats.AC(obs, mod, axis=None)

Anomaly Correlation

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.CSI(obs, mod, minval, maxval)

Critical Success Index (1 is perfect - Range 0 -> 1)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
minval (type) – Description of parameter minval.
maxval (type) – Description of parameter maxval.

Returns

Description of returned object.

Return type

type

monet.util.stats.E1(obs, mod, axis=None)

Modified Coefficient of Efficiency, E1

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.ETS(obs, mod, minval, maxval)

Equitable Threat Score (1 is perfect - Range -1/3 -> 1)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
minval (type) – Description of parameter minval.
maxval (type) – Description of parameter maxval.

Returns

Description of returned object.

Return type

type

monet.util.stats.FB(obs, mod, axis=None)

Fractional Bias (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.FE(obs, mod, axis=None)

Fractional Error (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.HSS(obs, mod, minval, maxval)

Heidke Skill Score (1 is perfect - below zero means no confidence)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
minval (type) – Description of parameter minval.
maxval (type) – Description of parameter maxval.

Returns

Description of returned object.

Return type

type

monet.util.stats.IOA(obs, mod, axis=None)

Index of Agreement, IOA

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.IOA_m(obs, mod, axis=None)

Index of Agreement, IOA (avoid single block error in np.ma)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.MB(obs, mod, axis=None)

Mean Bias

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.ME(obs, mod, axis=None)

Mean Gross Error (model and obs unit)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.MNB(obs, mod, axis=None)

Mean Normalized Bias (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.MNE(obs, mod, axis=None)

Mean Normalized Gross Error (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.MNPB(obs, mod, paxis, axis=None)

Mean Normalized Peak Bias (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
paxis (type) – Description of parameter paxis.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.MNPE(obs, mod, paxis, axis=None)

Mean Normalized Peak Error (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
paxis (type) – Description of parameter paxis.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.MO(obs, mod, axis=None)

Mean Observations (obs unit)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.MP(obs, mod, axis=None)

Mean Predictions (model unit)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.MdnB(obs, mod, axis=None)

Median Bias

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.MdnE(obs, mod, axis=None)

Median Gross Error (model and obs unit)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.MdnNB(obs, mod, axis=None)

Median Normalized Bias (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.MdnNE(obs, mod, axis=None)

Median Normalized Gross Error (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.MdnNPB(obs, mod, paxis, axis=None)

Median Normalized Peak Bias (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
paxis (type) – Description of parameter paxis.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.MdnNPE(obs, mod, paxis, axis=None)

Median Normalized Peak Bias (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
paxis (type) – Description of parameter paxis.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.MdnO(obs, mod, axis=None)

Median Observations (obs unit)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.MdnP(obs, mod, axis=None)

Median Predictions (model unit)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.NMB(obs, mod, axis=None)

Normalized Mean Bias (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.NMB_ABS(obs, mod, axis=None)

Normalized Mean Bias - Absolute of the denominator (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.NME(obs, mod, axis=None)

Normalized Mean Error (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.NME_m(obs, mod, axis=None)

Normalized Mean Error (%) (avoid single block error in np.ma)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.NME_m_ABS(obs, mod, axis=None)

Normalized Mean Error (%) - Absolute of the denominator (avoid single block error in np.ma)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.NMPB(obs, mod, paxis, axis=None)

Normalized Mean Peak Bias (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
paxis (type) – Description of parameter paxis.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.NMPE(obs, mod, paxis, axis=None)

Normalized Mean Peak Error (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
paxis (type) – Description of parameter paxis.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.NMdnB(obs, mod, axis=None)

Normalized Median Bias (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.NMdnE(obs, mod, axis=None)

Normalized Median Error (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.NMdnGE(obs, mod, axis=None)

Normalized Median Gross Error (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.NMdnPB(obs, mod, paxis, axis=None)

Normalized Median Peak Bias (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
paxis (type) – Description of parameter paxis.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.NMdnPE(obs, mod, paxis, axis=None)

Normalized Median Peak Bias (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
paxis (type) – Description of parameter paxis.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.NO(obs, mod, axis=None)

N Observations (#)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.NOP(obs, mod, axis=None)

N Observations/Prediction Pairs (#)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.NP(obs, mod, axis=None)

N Predictions (#)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.PSUTMNPB(obs, mod, axis=None)

Paired Space/Unpaired Time Mean Normalized Peak Bias (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.PSUTMNPE(obs, mod, axis=None)

Paired Space/Unpaired Time Mean Normalized Peak Error (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.PSUTMdnNPB(obs, mod, axis=None)

Paired Space/Unpaired Time Median Normalized Peak Bias (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.PSUTMdnNPE(obs, mod, axis=None)

Paired Space/Unpaired Time Median Normalized Peak Error (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.PSUTNMPB(obs, mod, axis=None)

Paired Space/Unpaired Time Normalized Mean Peak Bias (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.PSUTNMPE(obs, mod, axis=None)

Paired Space/Unpaired Time Normalized Mean Peak Error (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.PSUTNMdnPB(obs, mod, axis=None)

Paired Space/Unpaired Time Normalized Median Peak Bias (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.PSUTNMdnPE(obs, mod, axis=None)

Paired Space/Unpaired Time Normalized Median Peak Error (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.R2(obs, mod, axis=None)

Coefficient of Determination (unit squared)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.RM(obs, mod, axis=None)

Mean Ratio Observations/Predictions (none)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.RMSE(obs, mod, axis=None)

Root Mean Square Error (model unit)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.RMSEs(obs, mod, axis=None)

Root Mean Squared Error (obs, mod_hat)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.RMSEu(obs, mod, axis=None)

Root Mean Squared Error (mod_hat, mod)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.RMdn(obs, mod, axis=None)

Median Ratio Observations/Predictions (none)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.STDO(obs, mod, axis=None)

Standard deviation of Observations

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.STDP(obs, mod, axis=None)

Standard deviation of Predictions

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.USUTPB(obs, mod, axis=None)

Unpaired Space/Unpaired Time Peak Bias (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.USUTPE(obs, mod, axis=None)

Unpaired Space/Unpaired Time Peak Error (%)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.WDAC(obs, mod, axis=None)

Wind Direction Anomaly Correlation

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.WDIOA(obs, mod, axis=None)

Wind Direction Index of Agreement, IOA

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.WDIOA_m(obs, mod, axis=None)

Wind Direction Index of Agreement, IOA (avoid single block error in np.ma)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.WDMB(obs, mod, axis=None)

Wind Direction Mean Bias

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.WDMB_m(obs, mod, axis=None)

Wind Direction Mean Bias (avoid single block error in np.ma)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.WDME(obs, mod, axis=None)

Wind Direction Mean Gross Error (model and obs unit)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.WDME_m(obs, mod, axis=None)

Wind Direction Mean Gross Error (model and obs unit) (avoid single block error in np.ma)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.WDMdnB(obs, mod, axis=None)

Wind Direction Median Bias

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.WDMdnE(obs, mod, axis=None)

Wind Direction Median Gross Error (model and obs unit)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.WDNMB_m(obs, mod, axis=None)

Wind Direction Normalized Mean Bias (%) (avoid single block error in np.ma)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.WDRMSE(obs, mod, axis=None)

Wind Direction Root Mean Square Error (model unit)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.WDRMSE_m(obs, mod, axis=None)

Wind Direction Root Mean Square Error (model unit) (avoid single block error in np.ma)

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.circlebias(b)

Short summary.

Parameters: b (type) – Description of parameter b.
Returns: Description of returned object.
Return type: type

monet.util.stats.circlebias_m(b)

avoid single block error in np.ma

Parameters: b (type) – Description of parameter b.
Returns: Description of returned object.
Return type: type

monet.util.stats.d1(obs, mod, axis=None)

Modified Index of Agreement, d1

Parameters

obs (type) – Description of parameter obs.
mod (type) – Description of parameter mod.
axis (type) – Description of parameter axis.

Returns

Description of returned object.

Return type

type

monet.util.stats.matchedcompressed(a1, a2)

Short summary.

Parameters

a1 (type) – Description of parameter a1.
a2 (type) – Description of parameter a2.

Returns

Description of returned object.

Return type

type

monet.util.stats.matchmasks(a1, a2)

Short summary.

Parameters

a1 (type) – Description of parameter a1.
a2 (type) – Description of parameter a2.

Returns

Description of returned object.

Return type

type

monet.util.stats.scores(obs, mod, minval, maxval=100000.0)

Calculate scores.

Parameters

obs (array-like) – Observation values (“truth”).
mod (array-like) – Model values (“prediction”). Should be the same size as obs.
minval, minval (float) – Interval to test (exclusive on both sides).

Returns

a, b, c, d – Counts of hits, misses, false alarms, and correct negatives.

Return type

float

monet.util.stats.stats(df, minval, maxval)

Short summary.

Parameters

df (type) – Description of parameter df.
minval (type) – Description of parameter minval.
maxval (type) – Description of parameter maxval.

Returns

Description of returned object.

Return type

type