Title: Transport Schemes for HighResolution Atmospheric Simulation
1Transport Schemes for High-Resolution
Atmospheric Simulation
24 h accumulated precip, valid 12 UTC 5 June
2005 blue gt 12 mm
Stage 4 analysis
ARW forecast, no PD adv.
2Moisture Transport in ARW
1D advection
overshoot
undershoot
ARW scheme is conservative, but not positive
definite nor monotonic. Removal of negative q
results in spurious source of q .
3ARW Transport
Continuous eqn. (PDE)
Spatial discretization ARW - divergence terms
2-6 order accuracy (for constant u, v, w).
Instantaneous fluxes defined on control volume
faces
4ARW Transport
Time integration - RK3 ODE solver
5ARW Transport
.
For constant u, v, ? - 3rd order accurate in
space and time Conservative Consistent with the
ARW continuity equation Not positive
definite Not monotonic
1D test Cr 0.5, 1 revolution (200 steps)
6Forward-in-Time Transport Schemes
Continuous eqn.
Integrate in time
Integrate in space over the control volume
7ARW-RK3 and Forward-in-Time Schemes
FIT schemes
ARW - RK3
Final RK3 step looks like an FIT scheme - hence
some PD and monotonic FIT corrections can be used
in RK3 integration.
8RK3 PD/monotonic limiter
Following Zalesak (1979, JCP)
Existing RK3 transport scheme
9RK3 PD/monotonic limiter
Existing RK3 transport scheme
replace with
10RK3 PD/monotonic limiter
(1) Decompose fluxes
(2) 1st order upwind update
(3) Preliminary update for min/max values.
(4) Renormalize if updates are not monotonic or PD
PD
Monotonic
11RK3 PD/monotonic limiter
12RK3 PD limiter examples
24 h accumulated precip, valid 12 UTC 5 June
2005 blue gt 12 mm
ARW forecast, no PD adv.
Stage 4 analysis
Skamarock and Weisman 2009 (thanks to Wei Wang
and Kevin Manning)
13RK3 PD limiter examples
24 h accumulated precip, valid 12 UTC 5 June
2005 blue gt 12 mm
ARW forecast, PD adv.
ARW forecast, no PD adv.
14RK3 PD limiter examples
24 h accumulated precip, valid 12 UTC 14 April
2007 blue gt 12 mm
15RK3 PD limiter examples
14 April 2007
5 June 2005
16RK3 PD limiter examples
Moisture budgets from the 5 June 2005 and 14
April 2007 cases.
Seasonal biases from 2005 and 2007
17RK3 monotonic limiter examples
Wang, Skamarock and Feingold (2009)
250 m grid Diagonal transport of a
cube Horizontal cross section T10 minutes
18RK3 monotonic limiter examples
Marine stratocumulus (DYCOMS II)
RK3
2 hours
4 hours
RK3 positive definite
RK3 monotonic
Wang et al. 2009
19RK3 monotonic limiter examples
Marine stratocumulus (DYCOMS II)
RK3
RK3 positive definite
RK3 monotonic
Wang et al. 2009
20 Global ARW - Latitude-Longitude Grid
- Map factors - mx and my
- Polar boundary conditions
- Polar filtering
Converging gridlines severely limit timestep. The
polar filter removes this limitation.
- Filter procedure - Along a grid latitude circle
- Fourier transform variable.
- Filter Fourier coefficients.
- Transform back to physical space.
- Problems for PD and monotonic schemes
- Large Courant numbers near poles invalidates the
limiters. - Fourier filtering is not monotonic or PD.
21 Global ARW - Latitude-Longitude Grid
- Problems for PD and monotonic schemes
- Large Courant numbers near poles invalidates the
limiters. - Fourier filtering is not monotonic or PD.
- Possible solutions
- Perform transport along latitude circles as part
of the filtering process, using Large-Cr stable
schemes with modified limiters. - Use multiple applications of local filters for
polar filters.
- Drawbacks
- Expense.
- Lack of filter control.
22Summary
- Positive-definite (PD) and monotonic transport
options released with WRFV3.1 - PD transport decreases positive precipitation
bias observed in convection-permitting scale
forecasts. - Monotonic transport improves moist LES
simulations, and in chemistry/air quality
applications. - The PD and monotonic options do not work for
global WRF (latitude-longitude grid). Other
PD/monotonic approaches have problems.