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Compare different cycles of the same model and see what has changed Navigate through the different models with hot keys Compare different model systems e.

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Rivers and Lakes. Climate and Past Weather. Beyond that is of academic interest only. The US NWS runs its computer model 4 times a day using data at 00, 06, 12 and 18 hours UTC.

A note concerning the output issued by Saildocs is on another page.. The procedure described using Saildocs may seem somewhat cumbersome but is extremely flexible.

The easiest way to show is by example. To request a GRIB file send an eail to query saildocs. That will result in an email with a GRIb file attached that Wnd and Pressure values for the area selected, on a 0.

Grid spacing can be multiples of 0. Usually it takes lots of hours and experience with each of the models to identify their idiosyncrasies.

So, what specific guidelines or rules for each of the models should people keep in mind? I find it particularly interesting that everyone agrees that the off hour model runs are trash.

That kind of suck factor is good to keep in mind. Are things manually adjusted, or are the numbers left as is, and forecasters just expected to know this bias?

Jeff Duda Resident meteorological expert Staff member. Oct 7, 3, 2, 21 Broomfield, CO www. This is one of those threads that requires a textbook to answer.

Numerical weather prediction is extremely complex! Here is a simplified list of all of the aspects of NWP forecasts: -mathematical formulation of the PDEs that govern the atmosphere typically called "model dynamics" -treatment of sub-grid scale processes depends on the model resolution, typically called "model physics" or "parameterizations" -initial and lateral boundary condition data -model configuration horizontal and vertical resolution, finite difference or spectral, time step, vertical coordinate, number of soil levels or ocean levels, topography -post-processing Things you need to understand about each model to really get an idea how it should differ from other models Model dynamics -Which schemes are used to discretize the equations?

Forward Euler? Backward Euler? Each one has known strengths and weaknesses. Higher order schemes generally give better results, but also increase computational expense.

Physics parameterizations -Which sub-grid scale processes are being parameterized? Deep convection? Shallow convection? For example, there are about 3 or 4 different cumulus parameterization schemes that operational forecast models use.

Some are well documented and their strengths and weaknesses well known, while others are new or are improved versions of well known schemes but haven't been rigorously verified or documented.

For some schemes, no documentation exists at all it was written and maintained by one person. Keep in mind that although Weisman et al.

The entire range between about 1 km and 10 km is a gray zone where conventional convective parameterization schemes used in many modern forecast models are not meant to be used, but deep convection is still not fully resolved.

It's inaccurate and unfair to call 4 km models "convection-resolving", because they aren't. Initial and lateral boundary condition data -This is where the meat of the PDF that Rob linked to falls.

The amount, type, and quality of data ingested and processed by data assimilation schemes must be known. Also, there are different types of data assimilation 3DVAR, 4DVAR, EnKF etc.

There are also different ways of taking irregularly spaced data and transforming it to a gridded array Cressman, Barnes etc. Limited area model output is strongly correlated with the skill of the model that provided the lateral boundary conditions past a certain forecast hour depending on the size of the limited area model domain.

Also, how was the lateral boundary condition data used? Was it only applied to the outermost grid point?

The outer 5? Was it filtered at all? Model configruation -Horizontal resolution is big, obviously. But one thing many people tend to overlook is the vertical resolution.

Back in the day when grid spacings were tens of kilometers, grid columns were wide and short, as the vertical resolution was much finer than the horizontal resolution.

Vertical resolution hasn't increased nearly as much as horizontal resolution has. In convection-allowing models today, the grid columns are much skinnier than they used to be, as individual grid boxes are much taller than they used to be.

This impacts how processes such as convection are treated. Most models use a terrain following sigma or eta vertical coordinate, or an isentropic one the RUC used a hybrid isentropic-sigma coordinate.

This is hugely significant when considering processes impacted by interaction with the Earth's surface.

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