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Commit 55d0fd44 authored by mashun1's avatar mashun1
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#!/usr/bin/env python
"""
This Veros setup file was generated by
$ veros copy-setup acc
on 2024-07-02 12:17:23 UTC.
"""
__VEROS_VERSION__ = '1.5.1+79.gff396e1.dirty'
if __name__ == "__main__":
raise RuntimeError(
"Veros setups cannot be executed directly. "
f"Try `veros run {__file__}` instead."
)
# -- end of auto-generated header, original file below --
from veros import VerosSetup, veros_routine
from veros.variables import allocate, Variable
from veros.distributed import global_min, global_max
from veros.core.operators import numpy as npx, update, at
class ACCSetup(VerosSetup):
"""A model using spherical coordinates with a partially closed domain representing the Atlantic and ACC.
Wind forcing over the channel part and buoyancy relaxation drive a large-scale meridional overturning circulation.
This setup demonstrates:
- setting up an idealized geometry
- updating surface forcings
- basic usage of diagnostics
`Adapted from pyOM2 <https://wiki.cen.uni-hamburg.de/ifm/TO/pyOM2/ACC%202>`_.
"""
@veros_routine
def set_parameter(self, state):
settings = state.settings
settings.identifier = "acc"
settings.description = "My ACC setup"
settings.nx, settings.ny, settings.nz = 30, 42, 15
settings.dt_mom = 4800
settings.dt_tracer = 86400 / 2.0
settings.runlen = 86400 * 365
settings.x_origin = 0.0
settings.y_origin = -40.0
settings.coord_degree = True
settings.enable_cyclic_x = True
settings.enable_neutral_diffusion = True
settings.K_iso_0 = 1000.0
settings.K_iso_steep = 500.0
settings.iso_dslope = 0.005
settings.iso_slopec = 0.01
settings.enable_skew_diffusion = True
settings.enable_hor_friction = True
settings.A_h = (2 * settings.degtom) ** 3 * 2e-11
settings.enable_hor_friction_cos_scaling = True
settings.hor_friction_cosPower = 1
settings.enable_bottom_friction = True
settings.r_bot = 1e-5
settings.enable_implicit_vert_friction = True
settings.enable_tke = True
settings.c_k = 0.1
settings.c_eps = 0.7
settings.alpha_tke = 30.0
settings.mxl_min = 1e-8
settings.tke_mxl_choice = 2
settings.kappaM_min = 2e-4
settings.kappaH_min = 2e-5
settings.enable_kappaH_profile = True
settings.K_gm_0 = 1000.0
settings.enable_eke = True
settings.eke_k_max = 1e4
settings.eke_c_k = 0.4
settings.eke_c_eps = 0.5
settings.eke_cross = 2.0
settings.eke_crhin = 1.0
settings.eke_lmin = 100.0
settings.enable_eke_superbee_advection = True
settings.enable_eke_isopycnal_diffusion = True
settings.enable_idemix = False
settings.eq_of_state_type = 3
var_meta = state.var_meta
var_meta.update(
t_star=Variable("t_star", ("yt",), "deg C", "Reference surface temperature"),
t_rest=Variable("t_rest", ("xt", "yt"), "1/s", "Surface temperature restoring time scale"),
)
@veros_routine
def set_grid(self, state):
vs = state.variables
ddz = npx.array(
[50.0, 70.0, 100.0, 140.0, 190.0, 240.0, 290.0, 340.0, 390.0, 440.0, 490.0, 540.0, 590.0, 640.0, 690.0]
)
vs.dxt = update(vs.dxt, at[...], 2.0)
vs.dyt = update(vs.dyt, at[...], 2.0)
vs.dzt = update(vs.dzt, at[...], ddz[::-1] / 2.5)
@veros_routine
def set_coriolis(self, state):
vs = state.variables
settings = state.settings
vs.coriolis_t = update(
vs.coriolis_t, at[...], 2 * settings.omega * npx.sin(vs.yt[None, :] / 180.0 * settings.pi)
)
@veros_routine
def set_topography(self, state):
vs = state.variables
x, y = npx.meshgrid(vs.xt, vs.yt, indexing="ij")
vs.kbot = npx.logical_or(x > 1.0, y < -20).astype("int")
@veros_routine
def set_initial_conditions(self, state):
vs = state.variables
settings = state.settings
# initial conditions
vs.temp = update(vs.temp, at[...], ((1 - vs.zt[None, None, :] / vs.zw[0]) * 15 * vs.maskT)[..., None])
vs.salt = update(vs.salt, at[...], 35.0 * vs.maskT[..., None])
# wind stress forcing
yt_min = global_min(vs.yt.min())
yu_min = global_min(vs.yu.min())
yt_max = global_max(vs.yt.max())
yu_max = global_max(vs.yu.max())
taux = allocate(state.dimensions, ("yt",))
taux = npx.where(vs.yt < -20, 0.1 * npx.sin(settings.pi * (vs.yu - yu_min) / (-20.0 - yt_min)), taux)
taux = npx.where(vs.yt > 10, 0.1 * (1 - npx.cos(2 * settings.pi * (vs.yu - 10.0) / (yu_max - 10.0))), taux)
vs.surface_taux = taux * vs.maskU[:, :, -1]
# surface heatflux forcing
vs.t_star = allocate(state.dimensions, ("yt",), fill=15)
vs.t_star = npx.where(vs.yt < -20, 15 * (vs.yt - yt_min) / (-20 - yt_min), vs.t_star)
vs.t_star = npx.where(vs.yt > 20, 15 * (1 - (vs.yt - 20) / (yt_max - 20)), vs.t_star)
vs.t_rest = vs.dzt[npx.newaxis, -1] / (30.0 * 86400.0) * vs.maskT[:, :, -1]
if settings.enable_tke:
vs.forc_tke_surface = update(
vs.forc_tke_surface,
at[2:-2, 2:-2],
npx.sqrt(
(0.5 * (vs.surface_taux[2:-2, 2:-2] + vs.surface_taux[1:-3, 2:-2]) / settings.rho_0) ** 2
+ (0.5 * (vs.surface_tauy[2:-2, 2:-2] + vs.surface_tauy[2:-2, 1:-3]) / settings.rho_0) ** 2
)
** (1.5),
)
if settings.enable_idemix:
vs.forc_iw_bottom = 1e-6 * vs.maskW[:, :, -1]
vs.forc_iw_surface = 1e-7 * vs.maskW[:, :, -1]
@veros_routine
def set_forcing(self, state):
vs = state.variables
vs.forc_temp_surface = vs.t_rest * (vs.t_star - vs.temp[:, :, -1, vs.tau])
@veros_routine
def set_diagnostics(self, state):
settings = state.settings
diagnostics = state.diagnostics
diagnostics["snapshot"].output_frequency = 86400 * 10
diagnostics["averages"].output_variables = (
"salt",
"temp",
"u",
"v",
"w",
"psi",
"surface_taux",
"surface_tauy",
)
diagnostics["averages"].output_frequency = 365 * 86400.0
diagnostics["averages"].sampling_frequency = settings.dt_tracer * 10
diagnostics["overturning"].output_frequency = 365 * 86400.0 / 48.0
diagnostics["overturning"].sampling_frequency = settings.dt_tracer * 10
diagnostics["tracer_monitor"].output_frequency = 365 * 86400.0 / 12.0
diagnostics["energy"].output_frequency = 365 * 86400.0 / 48
diagnostics["energy"].sampling_frequency = settings.dt_tracer * 10
@veros_routine
def after_timestep(self, state):
pass
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