22.07.2013 Views

Semi-implicit semi-Lagrangian methods for numerical weather ...

Semi-implicit semi-Lagrangian methods for numerical weather ...

Semi-implicit semi-Lagrangian methods for numerical weather ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

<strong>Semi</strong>-Implicit<br />

<strong>Semi</strong>-<br />

<strong>Lagrangian</strong><br />

Time-<br />

Stepping<br />

Methods and<br />

Regularized<br />

Fluid<br />

Equations in<br />

Numerical<br />

Weather<br />

Prediction<br />

Sebastian<br />

Reich<br />

Numerical<br />

Weather<br />

Prediction<br />

Basic Facts<br />

Unified Model<br />

Towards a<br />

New Dynamic<br />

Core<br />

Model System and<br />

Basic Ideas<br />

Results<br />

General<br />

Methodology<br />

Concluding<br />

Remarks<br />

Vertical Slice Model<br />

Non-hydrostatic test case<br />

Numerical test taken from Pinty et al, 1995. Flow over a<br />

mountain with profile<br />

800 m<br />

h(x) =<br />

1 + ((x − 256 km)/16 km) 2<br />

and mean horizontal velocity of 32 m s −1 . The time-step is<br />

∆t = 2 min. The vertical grid-size is ∆z = 250 m while the<br />

horizontal grid-size is ∆x = 4 km. The smoothing length is<br />

α = cs∆t/2 ≈ 19 km.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!