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Microphysics_Arctic_1M.pxd
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cimport Grid
cimport ReferenceState
cimport PrognosticVariables
cimport DiagnosticVariables
cimport ParallelMPI
cimport TimeStepping
from libc.math cimport pow, exp
from Thermodynamics cimport ClausiusClapeyron
from NetCDFIO cimport NetCDFIO_Fields, NetCDFIO_Stats
cdef:
double lambda_constant_Arctic(double T) nogil
double latent_heat_constant_Arctic(double T, double Lambda) nogil
double lambda_Arctic(double T) nogil
double latent_heat_Arctic(double T, double Lambda) nogil
double latent_heat_variable_Arctic(double T, double Lambda) nogil
cdef inline double lambda_constant_Arctic(double T) nogil:
return 1.0
cdef inline double latent_heat_constant_Arctic(double T, double Lambda) nogil:
return 2.501e6
cdef inline double lambda_Arctic(double T) nogil:
cdef:
double Twarm = 273.0
double Tcold = 235.0
double pow_n = 0.1
double Lambda = 0.0
if T >= Tcold and T <= Twarm:
Lambda = pow((T - Tcold)/(Twarm - Tcold), pow_n)
elif T > Twarm:
Lambda = 1.0
else:
Lambda = 0.0
return Lambda
cdef inline double lambda_Hu2010(double T) nogil:
#Equation 1 and 2 from Hu et al. (2010)
cdef:
double p
double TC = T - 273.15 #Convert to Celcius
p = 5.3608 + 0.4025 * TC + 0.08387 * TC * TC + 0.007182 * TC * TC * TC + \
2.39e-4 * TC * TC * TC * TC + 2.87e-6 * TC * TC * TC * TC * TC
return 1.0 / (1.0 + exp(-p))
cdef inline double lambda_Cesana(double T) nogil:
#Emperical polynomial derived from Greg Cesana based on CALIPSO-GOCCP for the Arctic ocean
#Night time only observations of cloud phase
cdef:
double TC = T - 273.15
double p
if -40.0 <= TC < 0.0:
p = 0.4847323 + 0.0313655*TC + 0.001268696*TC*TC - 0.0000225937*TC*TC*TC - 6.731156e-7*TC*TC*TC*TC
elif TC >= 0.0:
p = 0.0
else:
p = 1.0
return 1.0 - p
cdef inline double lambda_logistic(double T) nogil:
#Cubic logistic function fitted to the Hu et al. (2009) expression
#(Temperature is in Kelvin)
cdef:
double k = 0.32928
double Tlf = 241.92
double Twarm = 273.15
double Tcold = 235.0
double Lambda = 0.0
if Tcold <= T <= Twarm:
Lambda = 1.0/pow((1.0 + exp(-k*(T - Tlf))), 3)
elif T > Twarm:
Lambda = 1.0
else:
Lambda = 0.0
return Lambda
cdef inline double latent_heat_Arctic(double T, double Lambda) nogil:
cdef:
double Lv = 2.501e6
double Ls = 2.8334e6
return (Lv * Lambda) + (Ls * (1.0 - Lambda))
cdef inline double latent_heat_variable_Arctic(double T, double Lambda) nogil:
cdef:
double TC = T - 273.15
return (2500.8 - 2.36 * TC + 0.0016 * TC *
TC - 0.00006 * TC * TC * TC) * 1000.0
cdef class Microphysics_Arctic_1M:
cdef public:
str thermodynamics_type
cdef:
double ccn
double n0_ice_input
Py_ssize_t order
double (*L_fp)(double T, double Lambda) nogil
double (*Lambda_fp)(double T) nogil
ClausiusClapeyron CC
double [:] evap_rate
double [:] precip_rate
double [:] melt_rate
cpdef initialize(self, Grid.Grid Gr, PrognosticVariables.PrognosticVariables PV, DiagnosticVariables.DiagnosticVariables DV,
NetCDFIO_Stats NS, ParallelMPI.ParallelMPI Pa)
cpdef update(self, Grid.Grid Gr, ReferenceState.ReferenceState Ref, Th,
PrognosticVariables.PrognosticVariables PV, DiagnosticVariables.DiagnosticVariables DV,
TimeStepping.TimeStepping TS, ParallelMPI.ParallelMPI Pa)
cpdef stats_io(self, Grid.Grid Gr, ReferenceState.ReferenceState Ref, Th, PrognosticVariables.PrognosticVariables PV,
DiagnosticVariables.DiagnosticVariables DV, NetCDFIO_Stats NS, ParallelMPI.ParallelMPI Pa)
cpdef micro_fields(self, Grid.Grid Gr, ReferenceState.ReferenceState Ref, PrognosticVariables.PrognosticVariables PV,
DiagnosticVariables.DiagnosticVariables DV)
cpdef ice_stats(self, Grid.Grid Gr, ReferenceState.ReferenceState Ref, PrognosticVariables.PrognosticVariables PV,
DiagnosticVariables.DiagnosticVariables DV, NetCDFIO_Stats NS, ParallelMPI.ParallelMPI Pa)