Leaderboard#
We provide a leaderboard for both deterministic and probabilistic models/metrics. This interactive page is inspired by the WeatherBench 2 design.
We showcase select variables (t-850
, z-500
, q-700
) on select metrics e.g., RMSE
, ACC
for deterministic models or RMSE
, CRPSS
for ensemble models.
Learn more about the metrics here and access the complete metrics across variables here. Unless stated, all results are evaluated for the year 2022.
Deterministic Models#
Deterministic models make a single (control) forecast. This method is particularly sensitive to initial condition, and is therefore not recommended for long-term chaotic prediction, such as in the S2S case.
Ensemble Models#
Ensemble models make multiple forecasts (members) at a time to give us a collection of possible future outcomes. This (plus a well-dispersed ensemble) is particularly important for skillful S2S forecasting.