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Variables, macros and functions index

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Index Entry Section

A
aspha2.4.1 Executing code at the end of each time step

B
Bb2.4.1 Executing code at the end of each time step
Bt2.4.1 Executing code at the end of each time step

C
couplage(.)2.4.1 Executing code at the end of each time step
cout_l4.2.3 Cost function coding and adjoint modeling
cout_Psi4.2.3 Cost function coding and adjoint modeling
covana(.,.)4.3.3 Executing code after the analysis
coveta(.,.)Error variance-covariance matrices
covfor(.,.)Initial variance-covariance matrix on the state
covobs(.,.)Error variance-covariance matrices

D
D2.4.1 Executing code at the end of each time step
dEta(.)2.3.3 Running a simulation and using the output
deta_tef(.)3.9.2 Entering the model equations, with explicit sizes
dneta2.4.1 Executing code at the end of each time step
dphi2.4.1 Executing code at the end of each time step
dt2.2.2 Entering model equation and parameters
dt
d_pi_aspha(.,.)4.1.2 Advance matrix sensitivity

E
eqn:Model equations
eta(.)The cell and transfer arrays
eta(.), explicit sizes3.9.2 Entering the model equations, with explicit sizes
etafor(.)4.3.3 Executing code after the analysis

F
ff(.)The cell and transfer arrays
ff(.), explicit sizes3.9.2 Entering the model equations, with explicit sizes
ffl(.)2.4.1 Executing code at the end of each time step
Free_parameter3.7 Parameters
fun:Model equations
f_set3.9.2 Entering the model equations, with explicit sizes
f_set3.9.2 Entering the model equations, with explicit sizes
f_set4.2.3 Cost function coding and adjoint modeling
f_set4.2.3 Cost function coding and adjoint modeling

H
H2.4.1 Executing code at the end of each time step

I
index_ff_gain4.4.1 Specifying the Borel sweep
innobs(.)4.3.3 Executing code after the analysis
istep2.4.1 Executing code at the end of each time step
istep_B_deb4.4.1 Specifying the Borel sweep
istep_B_fin4.4.1 Specifying the Borel sweep
istep_B_inc4.4.1 Specifying the Borel sweep
itau_max4.4.1 Specifying the Borel sweep

K
kgain(.)4.3.3 Executing code after the analysis

M
maxstep3.9.1 The explicit size sequence
mereta(.,.)Observations and error on state matrix
mobs3.8.1 Observations
model_file_name2.3.2 Setup a model and compile with make
modzprint2.2.2 Entering model equation and parameters
modzprint2.4.2 Controlling the printout and data output
mpThe cell and transfer arrays
mp3.9.1 The explicit size sequence
m_dwn3.3.1 Setting dimensions for 1D gridded model
m_mult3.3.1 Setting dimensions for 1D gridded model
m_node3.3.1 Setting dimensions for 1D gridded model
m_up3.3.1 Setting dimensions for 1D gridded model

N
npThe cell and transfer arrays
np3.9.1 The explicit size sequence
nstep2.2.2 Entering model equation and parameters
n_dwn3.3.1 Setting dimensions for 1D gridded model
n_mult3.3.1 Setting dimensions for 1D gridded model
n_node3.3.1 Setting dimensions for 1D gridded model
n_up3.3.1 Setting dimensions for 1D gridded model

O
obspha(.,.)4.3.3 Executing code after the analysis

P
Phi_tef(.)3.9.2 Entering the model equations, with explicit sizes
principal3.2.2 Calling the model subroutine

S
set_dwn_etaLimiting conditions
set_dwn_phiLimiting conditions
set_etaModel equations
set_node_etaGrid node equations
set_node_PhiGrid node equations
set_PhiModel equations
set_up_etaLimiting conditions
set_up_phiLimiting conditions

T
tau_B_ini4.4.1 Specifying the Borel sweep
tau_B_mult4.4.1 Specifying the Borel sweep
time2.2.2 Entering model equation and parameters

V
var:Model equations
vobs(.)3.8.2 Data
vobs(.)4.3.2.1 Feeding the observations to the model

Z
zback4.2.3 Cost function coding and adjoint modeling
ZBorel4.4.1 Specifying the Borel sweep
zborel for4.4.1 Specifying the Borel sweep
zcommand4.2.2 Control laws
zgetobs3.8.2 Data
zgetobs4.3.2.1 Feeding the observations to the model
zkalman4.3.1 Coding the Kalman filter
zlaw4.2.2 Control laws
zprint2.4.2 Controlling the printout and data output

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