Bangladesh S2s skillscores for maximum temperature
The performance of the S2s forecasting system were evaluated for each parameter and each week. On this page you will find the performance for the predictions of maximum temperature of the ECMWF, ECCC, NCEP, and the multi model run. Other variables can be found on separate pages.
Topleft = ECMWF
Topright = ECCC
bottomleft = NCEP
bottomright = Multi-model
A spatial distribution of the following skill scores are visualised in the form of a map:
- Pearson: A Pearson correlation coefficient
- IOA: Index of agreement
- RPSS: Ranked Probabilistic Skill Score
- GROC: Generalised Relative Operating Characteristic
- BSS(BN): Brier Skill Score (Below Normal)
- BSS(NN): Brier Skill Score (Near Normal)
- BSS(NN): Brier Skill Score (Above Normal)
Week 1
Pearson
IOA
RPSS
GROC
BSS(BN)
BSS(NN)
BSS(AN)
Week 2
Pearson
IOA
RPSS
GROC
BSS(BN)
BSS(NN)
BSS(AN)
Week 3+4
Pearson
IOA
RPSS
GROC
BSS(BN)
BSS(NN)
BSS(AN)
Jointly prepared by BMD, DAE, Weather Impact-Netherlands, Wageningen Environmental Research and Digital Innovation for Impact (Dii-Dhaka) under BWCSRP (Component-C), supported by World Bank
