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Variables, macros and functions index

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Index Entry  Section

A
aspha 2.4.1 Executing code at the end of each time step

B
Bb 2.4.1 Executing code at the end of each time step
Bt 2.4.1 Executing code at the end of each time step

C
couplage(.) 2.4.1 Executing code at the end of each time step
cout_l 4.2.3 Cost function coding and adjoint modeling
cout_Psi 4.2.3 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
D 2.4.1 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
dneta 2.4.1 Executing code at the end of each time step
dphi 2.4.1 Executing code at the end of each time step
dt 2.2.2 Entering model equation and parameters
dt Footnotes
d_pi_aspha(.,.) 4.1.2 Advance matrix sensitivity

E
eqn: Model equations
eta(.) The cell and transfer arrays
eta(.), explicit sizes 3.9.2 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 sizes 3.9.2 Entering the model equations, with explicit sizes
ffl(.) 2.4.1 Executing code at the end of each time step
Free_parameter 3.7 Parameters
fun: Model equations
f_set 3.9.2 Entering the model equations, with explicit sizes
f_set 3.9.2 Entering the model equations, with explicit sizes
f_set 4.2.3 Cost function coding and adjoint modeling
f_set 4.2.3 Cost function coding and adjoint modeling

H
H 2.4.1 Executing code at the end of each time step

I
index_ff_gain 4.4.1 Specifying the Borel sweep
innobs(.) 4.3.3 Executing code after the analysis
istep 2.4.1 Executing code at the end of each time step
istep_B_deb 4.4.1 Specifying the Borel sweep
istep_B_fin 4.4.1 Specifying the Borel sweep
istep_B_inc 4.4.1 Specifying the Borel sweep
itau_max 4.4.1 Specifying the Borel sweep

K
kgain(.) 4.3.3 Executing code after the analysis

M
maxstep 3.9.1 The explicit size sequence
mereta(.,.) Observations and error on state matrix
mobs 3.8.1 Observations
model_file_name 2.3.2 Setup a model and compile with make
modzprint 2.2.2 Entering model equation and parameters
modzprint 2.4.2 Controlling the printout and data output
mp The cell and transfer arrays
mp 3.9.1 The explicit size sequence
m_dwn 3.3.1 Setting dimensions for 1D gridded model
m_mult 3.3.1 Setting dimensions for 1D gridded model
m_node 3.3.1 Setting dimensions for 1D gridded model
m_up 3.3.1 Setting dimensions for 1D gridded model

N
np The cell and transfer arrays
np 3.9.1 The explicit size sequence
nstep 2.2.2 Entering model equation and parameters
n_dwn 3.3.1 Setting dimensions for 1D gridded model
n_mult 3.3.1 Setting dimensions for 1D gridded model
n_node 3.3.1 Setting dimensions for 1D gridded model
n_up 3.3.1 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
principal 3.2.2 Calling the model subroutine

S
set_dwn_eta Limiting conditions
set_dwn_phi Limiting conditions
set_eta Model equations
set_node_eta Grid node equations
set_node_Phi Grid node equations
set_Phi Model equations
set_up_eta Limiting conditions
set_up_phi Limiting conditions

T
tau_B_ini 4.4.1 Specifying the Borel sweep
tau_B_mult 4.4.1 Specifying the Borel sweep
time 2.2.2 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
zback 4.2.3 Cost function coding and adjoint modeling
ZBorel 4.4.1 Specifying the Borel sweep
zborel for 4.4.1 Specifying the Borel sweep
zcommand 4.2.2 Control laws
zgetobs 3.8.2 Data
zgetobs 4.3.2.1 Feeding the observations to the model
zkalman 4.3.1 Coding the Kalman filter
zlaw 4.2.2 Control laws
zprint 2.4.2 Controlling the printout and data output

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