The following 6 new parameters become operational with model cycle 46r1:

- Probability of temperature standardized anomaly greater than 1 standard deviation
- Probability of temperature standardized anomaly greater than 1.5 standard deviations
- Probability of temperature standardized anomaly greater than 2 standard deviations
- Probability of temperature standardized anomaly less than -1 standard deviation
- Probability of temperature standardized anomaly less than -1.5 standard deviations
- Probability of temperature standardized anomaly less than -2 standard deviations

These parameters refer to temperature anomalies at 850hPa. They are available from T+12h to T+360h at 12-hour intervals. For the computation of anomalies a climatology derived from ECMWF's re-forecasts is used consisting of the closest single re-forecast run (11 members, 20 years back) preceding the real-time forecast date. The same climatology also replaces the outdated fixed climatology that had been used for the following (pre-existing) parameters (also for the 850hPa level):

- Probability of temperature anomaly less than -2 K
- Probability of temperature anomaly greater than +2 K
- Probability of temperature anomaly less than -8 K
- Probability of temperature anomaly less than -4 K
- Probability of temperature anomaly greater than +4 K
- Probability of temperature anomaly greater than +8 K.

The first two of the aforementioned parameters, namely probability of temperature anomalies less than -2K and greater than +2K, are available only for the following forecast ranges: T+120-240h, T+120-168h, T+168-240 and T+240-360h. The other 4 parameters are available from T+12h to T+360h at 12-hour intervals.

__An example of temperature anomaly probabilities in a case of cold snap over North America at the end of January 2019.__

On the plot below comparison of products is shown between the old and new climatology. There are some significant differences. Anomalies with respect to old fixed climatology look more pronounced partly due to the climate change. Warm anomalies in the Arctic for example have diminished significantly when applying new reforecast-based climatology which is updated on the fly using always data in the past 20 years.

__Comparison of temperature anomaly probabilities between the new and old climatology.__