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6 changes: 0 additions & 6 deletions pyFV3/stencils/fv_dynamics.py
Original file line number Diff line number Diff line change
Expand Up @@ -483,12 +483,6 @@ def compute_preamble(self, state: DycoreState, is_root_rank: bool):
"Dynamical Core (fv_dynamics): compute total energy is not implemented"
)

if (not self.config.rf_fast) and self.config.tau != 0:
raise NotImplementedError(
"Dynamical Core (fv_dynamics): Rayleigh_Super,"
" called when rf_fast=False and tau !=0, is not implemented"
)

if self.config.adiabatic and self.config.kord_tm > 0:
raise NotImplementedError(
"Dynamical Core (fv_dynamics): Adiabatic with positive kord_tm"
Expand Down
117 changes: 91 additions & 26 deletions pyFV3/stencils/ray_fast.py
Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,7 @@
FORWARD,
PARALLEL,
computation,
f64,
horizontal,
interval,
log,
Expand All @@ -14,13 +15,18 @@

import ndsl.constants as constants
from ndsl import StencilFactory, orchestrate
from ndsl.constants import X_INTERFACE_DIM, Y_INTERFACE_DIM, Z_DIM
from ndsl.boilerplate import get_factories_single_tile
from ndsl.constants import (
SECONDS_PER_DAY,
X_INTERFACE_DIM,
Y_INTERFACE_DIM,
Z_DIM,
X_DIM,
Y_DIM,
)
from ndsl.dsl.typing import Float, FloatField, FloatFieldK


SDAY = 86400.0


# NOTE: The fortran version of this computes rf in the first timestep only. Then
# rf_initialized let's you know you can skip it. Here we calculate it every
# time.
Expand All @@ -36,7 +42,7 @@ def compute_rf_vals(pfull, bdt, rf_cutoff, tau0, ptop):
@gtscript.function
def compute_rff_vals(pfull, dt, rf_cutoff, tau0, ptop):
rffvals = compute_rf_vals(pfull, dt, rf_cutoff, tau0, ptop)
rffvals = 1.0 / (1.0 + rffvals)
rffvals = f64(1.0) / (f64(1.0) + rffvals)
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In an f32 run, aren't you only promoting the constants here and not rffvals?

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The upcaster will force in the rffvals to be f64. Alternatively you could, type hint rffvals e.g.

rffvals: f64 = ...

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The upcaster follows basic C up-casting rules

return rffvals


Expand All @@ -45,14 +51,31 @@ def dm_layer(rf, dp, wind):
return (1.0 - rf) * dp * wind


def ray_fast_damping_increment(
pfull: FloatFieldK, # type:ignore
dt: Float, # type:ignore
ptop: Float, # type:ignore
rf: FloatField, # type:ignore
):
"""rf is rayleigh damping increment, fraction of vertical velocity
left after doing rayleigh damping (w -> w * rf)
"""
from __externals__ import rf_cutoff, tau

with computation(PARALLEL), interval(...):
if pfull < rf_cutoff:
# rf is rayleigh damping increment, fraction of vertical velocity
# left after doing rayleigh damping (w -> w * rf)
rf = compute_rff_vals(pfull, dt, rf_cutoff, tau * SECONDS_PER_DAY, ptop)


def ray_fast_wind_compute(
u: FloatField,
v: FloatField,
w: FloatField,
delta_p_ref: FloatFieldK, # reference delta pressure
pfull: FloatFieldK, # input layer pressure reference?
dt: Float,
ptop: Float,
rf: FloatFieldK,
rf_cutoff_nudge: Float,
):
"""
Expand All @@ -70,13 +93,6 @@ def ray_fast_wind_compute(
from __externals__ import hydrostatic, local_ie, local_je, rf_cutoff, tau

# dm_stencil
with computation(PARALLEL), interval(...):
# TODO -- in the fortran model rf is only computed once, repeating
# the computation every time ray_fast is run is inefficient
if pfull < rf_cutoff:
# rf is rayleigh damping increment, fraction of vertical velocity
# left after doing rayleigh damping (w -> w * rf)
rf = compute_rff_vals(pfull, dt, rf_cutoff, tau * SDAY, ptop)
with computation(FORWARD):
with interval(0, 1):
if pfull < rf_cutoff_nudge:
Expand Down Expand Up @@ -155,14 +171,26 @@ class RayleighDamping:
Fortran name: ray_fast.
"""

def __init__(self, stencil_factory: StencilFactory, rf_cutoff, tau, hydrostatic):
def __init__(
self,
stencil_factory: StencilFactory,
rf_cutoff: Float,
tau: Float,
hydrostatic: bool,
):
orchestrate(obj=self, config=stencil_factory.config.dace_config)
grid_indexing = stencil_factory.grid_indexing
self._rf_cutoff = rf_cutoff
self._rf_cutoff = Float(rf_cutoff)
origin, domain = grid_indexing.get_origin_domain(
[X_INTERFACE_DIM, Y_INTERFACE_DIM, Z_DIM]
)

if tau == 0:
raise NotImplementedError(
"Dynamical Core (fv_dynamics): RayleighDamping,"
" with tau <= 0, is not implemented"
)

ax_offsets = grid_indexing.axis_offsets(origin, domain)
local_axis_offsets = {}
for axis_offset_name, axis_offset_value in ax_offsets.items():
Expand All @@ -175,12 +203,35 @@ def __init__(self, stencil_factory: StencilFactory, rf_cutoff, tau, hydrostatic)
domain=domain,
externals={
"hydrostatic": hydrostatic,
"rf_cutoff": rf_cutoff,
"rf_cutoff": self._rf_cutoff,
"tau": tau,
**local_axis_offsets,
},
)

# We compute the damping increment once using a trick to write a
# FloatFieldK as a (1, 1, K) 3D writable Field
K_stencil_factory, K_quantity_factory = get_factories_single_tile(
1,
1,
domain[2],
0,
stencil_factory.backend,
)
self._ray_fast_damping_increment = K_stencil_factory.from_origin_domain(
ray_fast_damping_increment,
origin=(0, 0, origin[2]),
domain=(1, 1, domain[2]),
externals={
"rf_cutoff": self._rf_cutoff,
"tau": tau,
},
)
self._damping_increment = K_quantity_factory.ones(
[X_DIM, Y_DIM, Z_DIM], units="n/a"
)
self._initialize_damping_increment = False

def __call__(
self,
u: FloatField,
Expand All @@ -191,15 +242,29 @@ def __call__(
dt: Float,
ptop: Float,
):
rf_cutoff_nudge = self._rf_cutoff + min(100.0, 10.0 * ptop)
"""
Args:
u (inout)
v (inout)
w (inout)
dp (in)
pfull (in)
dt (in)
ptop (in)
"""
rf_cutoff_nudge = self._rf_cutoff + min(Float(100.0), Float(10.0) * ptop)

if not self._initialize_damping_increment:
self._ray_fast_damping_increment(
pfull=pfull, dt=dt, ptop=ptop, rf=self._damping_increment
)
self._initialize_damping_increment = True
self._ray_fast_wind_compute(
u,
v,
w,
dp,
pfull,
dt,
ptop,
rf_cutoff_nudge,
u=u,
v=v,
w=w,
delta_p_ref=dp,
pfull=pfull,
rf=self._damping_increment.view[0, 0, :],
rf_cutoff_nudge=rf_cutoff_nudge,
)
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