Sentences with phrase «seasonal cycle predictor»

None of them gave as high a skill (as low a Spread ratio) as just using the OLR seasonal cycle predictor, but they all showed more skill than the use of all three predictors simultaneously, save to a marginal extent in one case.

For instance, although use of the OLR seasonal cycle predictor is clearly preferable to use of all predictors simultaneously, some combination of two predictors might provide higher skill.

Panel c shows that using just the OLR seasonal cycle predictor produces a much more skillful result than using all predictors simultaneously.

The RCP8.5 2090 Prediction ratio using the OLR seasonal cycle predictor is under half that using all predictors — it implies a 6 % uplift in projected warming, not «about 15 %».

Not exact matches

As I have shown, in CMIP5 models that relationship is considerably stronger for the OLR seasonal cycle than for any of the other predictors or any combination of predictors.

It is not fully clear to me why using all the predictors simultaneously results in much less skilful prediction than using just the OLR seasonal cycle.

Nic, if I understand correctly, you're saying the basic statistical intention of the paper was not achieved; the PLS method as applied apparently improperly weighted predictors as evidenced by the superior skill of a single predictor, OLR seasonal cycle, over their group of predictors.

[4] The aspects of each of these measures that are used as predictors are their climatology (the 2001 - 2015 mean), the magnitude (standard deviation) of their seasonal cycle, and monthly variability (standard deviation of their deseasonalized monthly values).

These are all cell mean values on a grid with 37 latitudes and 72 longitudes, giving nine predictor fields each with 2664 values for three aspects (climatology, seasonal cycle and monthly variability) for each of three variables (OLR, OSR and N).

I tested use of the OLR seasonal cycle over the 30S — 30N latitude zone only, thereby reducing the number of predictor variables to 936 — still a large number, but under 4 % of the 23,976 predictor variables used in BC17.

I accordingly tested all combinations of OLR seasonal cycle plus one of the other eight predictors.

In view of the general pattern of more predictors producing a less skilful result, I thought it worth investigating using just a cut down version of the OLR seasonal cycle spatial field.

Brown comments that I suggested that rather than focusing on the simultaneous use of all predictor fields, BC17 should have focused on the results associated with the single predictor field that showed the most skill: The magnitude of the seasonal cycle in OLR.