diag_norcpm:

NorCPM_V2a-hindcast


ENSO predictionskill

Correlation and RMSE of Nino3.4, compare with HadISST.



SST heterogeneous Anomaly Correlation(AC), 1-4 lead season

Following Becker et al. 2014 approach, 1-4 lead seasonal forecast correlation.  
The correlation is between HadISST and ensemble mean.



Prec heterogeneous Anomaly Correlation(AC), 1-4 lead season

Following Becker et al. 2014 approach, 1-4 lead seasonal forecast correlation.  
The correlation is between GPCP and ensemble mean.



Ocean Heat Content heterogeneous Anomaly Correlation(AC), 1-4 lead season

Following Becker et al. 2014 approach, 1-4 lead seasonal forecast correlation.  
The correlation is 100m OHC100 between EN4 4.2.1 and ensemble mean.



SST homogeneous Anomaly Correlation(AC), 1-4 lead season

Following Becker et al. 2014. approach, 1-4 lead seasonal forecast correlation.  
The correlation is between 1st member and ensemble mean of rest of members.



Prec. homogeneous Anomaly Correlation(AC), 1-4 lead season

Following Becker et al, 2014. approach, 1-4 lead seasonal forecast correlation.  
The correlation is between 1st member and ensemble mean of rest of members.



Tsfc heterogeneous Anomaly Correlation(AC), 1-4 lead season

Following Becker et al. 2014 approach, 1-4 lead seasonal forecast correlation.  
The correlation is between GISS and ensemble mean.



Z700 heterogeneous Anomaly Correlation(AC), 1-4 lead season

Following Becker et al. 2014 approach, 1-4 lead seasonal forecast correlation.  
The correlation is between ERA5 reanalysis and ensemble mean.



SST Rank histogram test. Use member 1 as proxy obs data.

This is a test for rank histogram. Use 1st member as proxy observation. 



SST regional Rank histogram

SST rank histogram. Use HadISST as  observation data. 



SST anomaly Rank histogram

SST anomaly prediction rank histogram. Use HadISST as  observation data. 



Tsfc anomaly Rank histogram

Tsfc anomaly prediction rank histogram. Use GISS as observation data. 



Z700 anomaly Rank histogram

Z700 anomaly prediction rank histogram. Use GISS as observation data. 



contact: pgchiu (Ping-Gin.Chiu_at_uib.no)