2020 | Climatology

Mean Biases
T2M PREC Z500

Pattern Correlation Coefficient (PCC)
& Root Mean Square Error (RMSE)
T2M PREC Z500

Relative Error (RMSE)
  compared to other models
    T2M PREC Z500
  compared to previous year
    T2M PREC Z500

Uncertainty
Singal-to-Noise Ratio (SNR)
T2M PREC Z500

Seasonality
  Tropospheric Summer Length (T2M)   | G T EA
                          ITCZ/SPCZ (PREC)
  Stratospheric Final Warming (U50)
  Arctic Sea Ice Temporal Variation within a Year
                     SIC | KMA Models
                     SIE | KMA Models-L1 Models-L3
             Sea Ice (Melt-freeze) Spatiotemporal Evolution
                     SIE |  KMA
             Sea Ice Reduction (Trend)
                     SIC | KMA Models-L1 Models-L3
                     SIE |  KMA

Last updated Apr 2022, (contact: dolkong400 at gmail)

* Terciles, anomalies and climate indices here are derived based on the reference period (2000-2010).
* Six verification metrics (MSSS, ACC, HSS, LEPS, ROC, CRPSS) are applied.
* Below figure and tables are DATA RESOURCES (models & observations), DOMAINS, OPERATIONAL CALENDAR/WEEKLY PERIODS applied.

DATA RESOURCES

● Variables: 2m temperature(T2M), Precipitation(PREC), Height at 500hPa(Z500)
● Observations: - ERA5 [https://cds.climate.copernicus.eu/cdsapp#!/search?text=ERA5%20back%20extension&type=dataset]; - GPCP [https://www.ncei.noaa.gov/data/global-precipitation-climatology-project-gpcp-daily/access/]

The S2S data [http://apps.ecmwf.int/datasets/data/s2s/]
* We are grateful to KMA, ECCC, ECMWF, NCEP, and UKMO as well as the S2S Prediction Project for their data and resources.

The SubX data [http://iridl.ldeo.columbia.edu/SOURCES/.Models/.SubX/]
* We acknowledge the agencies that support the SubX system, and we thank the climate modeling groups (Environment Canada, NASA, NOAA/NCEP, NRL and University of Miami) for producing and making available their model output. NOAA/MAPP, ONR, NASA, NOAA/NWS jointly provided coordinating support and led development of the SubX system.