Four new models were added to the LuckGrib server cluster in August 2018, the National Blend of Models
The four models are:
At the time these models were introduced the group responsible were in the final stages of testing the next version of the models, version 3.1. The update is now operational and the LuckGrib versions of the model have been updated to incorporate some of the new weather information that has been made available.
The first three of the models (CONUS, Alaska and Hawaii) are quite similar, while Oceanic is different from the others (these differences are described in the original announcement referenced above.)
Many new models have been added to the blend.
The list of model inputs, for version 3.0 of NBM, is:
The update to NBM, version 3.1, has added the following model inputs:
In addition to the new models that are available, there are other improvements
Read the official announcement for more details.
Several new parameters are now available. The CONUS and Alaska models now include:
The Hawaii model now includes rain
The NBM Oceanic model was previously updated twice a day (at 00Z and 12Z). The model is now updated six times a day, at: 00Z, 05Z, 07Z, 12Z, 17Z and 19Z
Several new parameters are now available in the Oceanic model:
Also, two parameters which were briefly not available (10% and 25% probability wind speeds) are now available again.
I believe the Oceanic version of the NBM is an interesting model for sailors. The model has a large domain, covering most of the Pacific and Atlantic oceans, down to 20° south at a 10km resolution.
As discussed in the announcement, NBM Oceanic is a weather forecast model which is able to express the degree of certainty it has in its results. This is a crucial difference between this model and all other models.
A short tutorial is available, describing the NBM Oceanic probabilistic data in some more detail.
This is an excellent update to this interesting suite of models. Thanks to the National Weather Service and the Meteorological Development Laboratory!
Feedback is welcome.