= Available options for the different filter algorithms = [[PageOutline(2-3,Contents of this page)]] There are different operations for each of the filter algorithms that need to be specified in the call to `pdaf_init`. To display the available options in a compiled assimilation program, one can use run with the specification `subtype=-1`. In this case `pdaf_init` wil display the available options for the selected filter algorithm and exit with an error status of -1. Below we list the options as they are displayed using `subtype=-1`. == SEEK (filtertype=0) == {{{ PDAF Available options for SEEK: PDAF --- Sub-types (Parameter subtype) --- PDAF 0: Evolve unit modes with finite difference approx. of TLM PDAF 1: like 0 with modes scaled by eigenvalues, unit U PDAF 2: Fixed basis vectors; variable U matrix PDAF 3: Fixed covariance matrix (V and U kept constant) PDAF 5: Offline mode PDAF --- Integer parameters (Array param_int) --- PDAF param_int(1): Dimension of state vector (>0), required PDAF param_int(2): Ensemble size (>0), required PDAF param_int(3): Interval for re-diagonalization of P (>0); optional: default 1 PDAF param_int(4): 1 for incremental updating, 0 else; optional: default 0 PDAF --- Floating point parameters (Array param_real) --- PDAF param_real(1): Forgetting factor (usually >0 and <=1), required PDAF param_real(2): epsilon for finite-difference approx. of TLM, required PDAF --- Further parameters --- PDAF n_modeltasks: Number of parallel model integration tasks PDAF >=1 for subtypes 0 and 1; not larger than total number of processors PDAF =1 required for subtypes 2 and 3 PDAF screen: Control verbosity of PDAF PDAF 0: no outputs PDAF 1: basic output (default) PDAF 2: 1 plus timing output PDAF 3: 2 plus debug output PDAF +++++++++ End of option overview for the SEEK filter ++++++++++ }}} == SEIK (filtertype=1) == {{{ PDAF Available options for SEIK: PDAF --- Sub-types (Parameter subtype) --- PDAF 0: full ensemble integration; left-sided application of T PDAF 1: full ensemble integration; right-sided application of T PDAF 2: Fixed error space basis PDAF 3: Fixed state covariance matrix PDAF 4: Implementation with explicit ensemble transformation PDAF 5: Offline mode PDAF --- Integer parameters (Array param_int) --- PDAF param_int(1): Dimension of state vector (>0), required PDAF param_int(2): Ensemble size (>0), required PDAF param_int(3): not used PDAF param_int(4): 1 for incremental updating, 0 else; optional, default: 0 PDAF param_int(5): Type of forgetting factor; optional, default: 0 PDAF 0: fixed forgetting factor PDAF 1: adaptive forgetting factor (experimental) PDAF param_int(6): Type of ensemble transformation matrix; optional, default: 0 PDAF 0: deterministic omega PDAF 1: random orthonormal omega orthogonal to (1,...,1)^T PDAF 2: use product of 0 with random orthonomal matrix with eigenvector (1,...,1)^T PDAF (experimental; for random transformations, 1 is recommended) PDAF param_int(7): Type of transformation matrix square root; optional, default: 0 PDAF (Only relevant for subtype/=3) PDAF 0: symmetric square root PDAF 1: Cholesky decomposition PDAF --- Floating point parameters (Array param_real) --- PDAF param_real(1): Forgetting factor (usually >0 and <=1), required PDAF --- Further parameters --- PDAF n_modeltasks: Number of parallel model integration tasks PDAF >=1 for subtypes 0 and 1; not larger than total number of processors PDAF =1 required for subtypes 2 and 3 PDAF screen: Control verbosity of PDAF PDAF 0: no outputs PDAF 1: basic output (default) PDAF 2: 1 plus timing output PDAF 3: 2 plus debug output PDAF --- Internal parameter (defined inside PDAF) --- PDAF Nm1vsN: Normalization of covariance matrix; default: 1 PDAF 0: normalization with 1/(Ensemble size) PDAF (original SEIK, mainly for compatibility with older studies) PDAF 1: normalization with 1/(Ensemble size - 1) PDAF (sample covariance matrix consistent with other EnKFs) PDAF +++++++++ End of option overview for the SEIK filter ++++++++++ }}} == EnKF (filtertype=2) == {{{ PDAF Available options for EnKF: PDAF --- Sub-types (Parameter subtype) --- PDAF 0: Full ensemble integration; analysis for 2*dim_obs>dim_ens PDAF 1: Full ensemble integration; analysis for 2*dim_obs<=dim_ens PDAF 5: Offline mode PDAF --- Integer parameters (Array param_int) --- PDAF param_int(1): Dimension of state vector (>0), required PDAF param_int(2): Ensemble size (>0), required PDAF param_int(3): maximum rank for inversion of HPH^T, optional, default=0 PDAF (for =0, HPH is inverted by solving the representer equation) PDAF (if set to >=ensemble size, it is reset to ensemble size - 1) PDAF param_int(4): not used PDAF param_int(5): Size of lag for smoothing PDAF --- Floating point parameters (Array param_real) --- PDAF param_real(1): Forgetting factor (usually >0 and <=1), required PDAF --- Further parameters --- PDAF n_modeltasks: Number of parallel model integration tasks PDAF (>=1; not larger than total number of processors) PDAF screen: Control verbosity of PDAF PDAF 0: no outputs PDAF 1: basic output (default) PDAF 2: 1 plus timing output PDAF 3: 2 plus debug output PDAF +++++++++ End of option overview for the EnKF ++++++++++ }}} == LSEIK (filtertype=3) == {{{ PDAF Available options for LSEIK: PDAF --- Sub-types (Parameter subtype) --- PDAF 0: full ensemble integration; left-sided application of T PDAF 2: Fixed error space basis PDAF 3: Fixed state covariance matrix PDAF 5: Offline mode PDAF --- Integer parameters (Array param_int) --- PDAF param_int(1): Dimension of state vector (>0), required PDAF param_int(2): Ensemble size (>0), required PDAF param_int(3): not used PDAF param_int(4): 1 for incremental updating, 0 else; optional, default: 0 PDAF param_int(5): Type of forgetting factor; optional, default: 0 PDAF 0: fixed forgetting factor PDAF 1: adaptive forgetting factor for full domain (experimental) PDAF 2: locally adaptive forgetting factor (experimental) PDAF param_int(6): Type of ensemble transformation matrix; optional, default: 0 PDAF 0: deterministic omega PDAF 1: random orthonormal omega orthogonal to (1,...,1)^T PDAF 2: use product of 0 with random orthonomal matrix with eigenvector (1,...,1)^T PDAF (experimental; for random transformations, 1 is recommended) PDAF param_int(7): Type of transformation matrix square root; optional, default: 0 PDAF (Only relevant for subtype/=3) PDAF 0: symmetric square root PDAF 1: Cholesky decomposition PDAF --- Floating point parameters (Array param_real) --- PDAF param_real(1): Forgetting factor (usually >0 and <=1), required PDAF --- Further parameters --- PDAF n_modeltasks: Number of parallel model integration tasks PDAF >=1 for subtypes 0 and 1; not larger than total number of processors PDAF =1 required for subtypes 2 and 3 PDAF screen: Control verbosity of PDAF PDAF 0: no outputs PDAF 1: basic output (default) PDAF 2: 1 plus timing output PDAF 3: 2 plus debug output PDAF --- Internal parameter (defined inside PDAF) --- PDAF Nm1vsN: Normalization of covariance matrix; default: 1 PDAF 0: normalization with 1/(Ensemble size) PDAF (original SEIK, mainly for compatibility with older studies) PDAF 1: normalization with 1/(Ensemble size - 1) PDAF (sample covariance matrix consistent with other EnKFs) PDAF +++++++++ End of option overview for the LSEIK filter ++++++++++ }}} == ETKF (filtertype=4) == {{{ PDAF Available options for ETKF: PDAF --- Sub-types (Parameter subtype) --- PDAF 0: full ensemble integration; apply T-matrix analogously to SEIK PDAF 1: full ensemble integration; formulation without T matrix PDAF 2: Fixed error space basis; analysis with T-matrix PDAF 3: Fixed state covariance matrix; analysis with T-matrix PDAF 5: Offline mode; analysis with T-matrix PDAF --- Integer parameters (Array param_int) --- PDAF param_int(1): Dimension of state vector (>0), required PDAF param_int(2): Ensemble size (>0), required PDAF param_int(3): Size of lag for smoothing PDAF param_int(4): not used PDAF param_int(5): Type of forgetting factor; optional, default: 0 PDAF 0: fixed forgetting factor PDAF 1: adaptive forgetting factor (experimental) PDAF param_int(6): Type of ensemble transformation matrix; optional, default: 0 PDAF 0: deterministic transformation PDAF 2: use product of 0 with random orthonomal matrix with eigenvector (1,...,1)^T PDAF --- Floating point parameters (Array param_real) --- PDAF param_real(1): Forgetting factor (usually >0 and <=1), required PDAF --- Further parameters --- PDAF n_modeltasks: Number of parallel model integration tasks PDAF >=1 for subtypes 0 and 1; not larger than total number of processors PDAF =1 required for subtypes 2 and 3 PDAF screen: Control verbosity of PDAF PDAF 0: no outputs PDAF 1: basic output (default) PDAF 2: 1 plus timing output PDAF 3: 2 plus debug output PDAF +++++++++ End of option overview for the ETKF ++++++++++ }}} == LETKF (filtertype=5) == {{{ PDAF Available options for LETKF: PDAF --- Sub-types (Parameter subtype) --- PDAF 0: full ensemble integration; apply T-matrix analogously to SEIK PDAF 2: Fixed error space basis; analysis with T-matrix PDAF 3: Fixed state covariance matrix; analysis with T-matrix PDAF 5: Offline mode; analysis with T-matrix PDAF --- Integer parameters (Array param_int) --- PDAF param_int(1): Dimension of state vector (>0), required PDAF param_int(2): Ensemble size (>0), required PDAF param_int(3): Size of lag for smoothing PDAF param_int(4): not used PDAF param_int(5): Type of forgetting factor; optional, default: 0 PDAF 0: fixed forgetting factor PDAF 1: adaptive forgetting factor for full domain (experimental) PDAF 2: locally adaptive forgetting factor (experimental) PDAF param_int(6): Type of ensemble transformation matrix; optional, default: 0 PDAF 0: deterministic transformation PDAF 2: use product of 0 with random orthonomal matrix with eigenvector (1,...,1)^T PDAF --- Floating point parameters (Array param_real) --- PDAF param_real(1): Forgetting factor (usually >0 and <=1), required PDAF --- Further parameters --- PDAF n_modeltasks: Number of parallel model integration tasks PDAF >=1 for subtypes 0 and 1; not larger than total number of processors PDAF =1 required for subtypes 2 and 3 PDAF screen: Control verbosity of PDAF PDAF 0: no outputs PDAF 1: basic output (default) PDAF 2: 1 plus timing output PDAF 3: 2 plus debug output PDAF +++++++++ End of option overview for the LETKF ++++++++++ }}} == ESTKF (filtertype=6) == {{{ PDAF Available options for ESTKF: PDAF --- Sub-types (Parameter subtype) --- PDAF 0: Standard implementation with ensemble integration PDAF 2: Fixed error space basis PDAF 3: Fixed state covariance matrix PDAF 5: Offline mode PDAF --- Integer parameters (Array param_int) --- PDAF param_int(1): Dimension of state vector (>0), required PDAF param_int(2): Ensemble size (>0), required PDAF param_int(3): Size of lag for smoothing PDAF param_int(4): not used PDAF param_int(5): Type of forgetting factor; optional, default: 0 PDAF 0: fixed forgetting factor PDAF 1: adaptive forgetting factor (experimental) PDAF param_int(6): Type of ensemble transformation matrix; optional, default: 0 PDAF 0: deterministic omega PDAF 1: random orthonormal omega orthogonal to (1,...,1)^T PDAF 2: use product of 0 with random orthonomal matrix with eigenvector (1,...,1)^T PDAF (experimental; for random transformations, 0 or 1 are recommended) PDAF param_int(7): Type of transformation matrix square root; optional, default: 0 PDAF 0: symmetric square root PDAF 1: Cholesky decomposition PDAF --- Floating point parameters (Array param_real) --- PDAF param_real(1): Forgetting factor (usually >0 and <=1), required PDAF --- Further parameters --- PDAF n_modeltasks: Number of parallel model integration tasks PDAF >=1 for subtypes 0 and 1; not larger than total number of processors PDAF =1 required for subtypes 2 and 3 PDAF screen: Control verbosity of PDAF PDAF 0: no outputs PDAF 1: basic output (default) PDAF 2: 1 plus timing output PDAF 3: 2 plus debug output PDAF +++++++++ End of option overview for the ESTKF ++++++++++ }}} == LESTKF (filtertype=7) == {{{ PDAF Available options for LESTKF: PDAF --- Sub-types (Parameter subtype) --- PDAF 0: Standard implementation with ensemble integration PDAF 2: Fixed error space basis PDAF 3: Fixed state covariance matrix PDAF 5: Offline mode PDAF --- Integer parameters (Array param_int) --- PDAF param_int(1): Dimension of state vector (>0), required PDAF param_int(2): Ensemble size (>0), required PDAF param_int(3): Size of lag for smoothing PDAF param_int(4): not used PDAF param_int(5): Type of forgetting factor; optional, default: 0 PDAF 0: fixed forgetting factor PDAF 1: adaptive forgetting factor for full domain (experimental) PDAF 2: locally adaptive forgetting factor (experimental) PDAF param_int(6): Type of ensemble transformation matrix; optional, default: 0 PDAF 0: deterministic omega PDAF 1: random orthonormal omega orthogonal to (1,...,1)^T PDAF 2: use product of 0 with random orthonomal matrix with eigenvector (1,...,1)^T PDAF (experimental; for random transformations, 1 is recommended) PDAF param_int(7): Type of transformation matrix square root; optional, default: 0 PDAF 0: symmetric square root PDAF 1: Cholesky decomposition PDAF --- Floating point parameters (Array param_real) --- PDAF param_real(1): Forgetting factor (usually >0 and <=1), required PDAF --- Further parameters --- PDAF n_modeltasks: Number of parallel model integration tasks PDAF >=1 for subtypes 0 and 1; not larger than total number of processors PDAF =1 required for subtypes 2 and 3 PDAF screen: Control verbosity of PDAF PDAF 0: no outputs PDAF 1: basic output (default) PDAF 2: 1 plus timing output PDAF 3: 2 plus debug output PDAF +++++++++ End of option overview for the LESTKF ++++++++++ }}} == LEnKF (filtertype=8) == {{{ PDAF Available options for LEnKF: PDAF --- Sub-types (Parameter subtype) --- PDAF 0: Full ensemble integration; analysis with covariance localization PDAF 5: Offline mode PDAF --- Integer parameters (Array param_int) --- PDAF param_int(1): Dimension of state vector (>0), required PDAF param_int(2): Ensemble size (>0), required PDAF param_int(3): maximum rank for inversion of HPH^T, optional, default=0 PDAF (for =0, HPH is inverted by solving the representer equation) PDAF (if set to >=ensemble size, it is reset to ensemble size - 1) PDAF --- Floating point parameters (Array param_real) --- PDAF param_real(1): Forgetting factor (usually >0 and <=1), required PDAF --- Further parameters --- PDAF n_modeltasks: Number of parallel model integration tasks PDAF (>=1; not larger than total number of processors) PDAF screen: Control verbosity of PDAF PDAF 0: no outputs PDAF 1: basic output (default) PDAF 2: 1 plus timing output PDAF 3: 2 plus debug output PDAF +++++++++ End of option overview for the LEnKF ++++++++++ }}} == NETF (filtertype=9) == {{{ PDAF Available options for NETF: PDAF --- Sub-types (Parameter subtype) --- PDAF 0: Standard implementation with ensemble integration PDAF 5: Offline mode PDAF --- Integer parameters (Array param_int) --- PDAF param_int(1): Dimension of state vector (>0), required PDAF param_int(2): Ensemble size (>0), required PDAF param_int(3): Size of lag for smoothing PDAF param_int(4): not used PDAF param_int(5): Type of forgetting factor; optional, default: 0 PDAF 0: forgetting factor on forecast ensemble PDAF 2: forgetting factor on analysis ensemble PDAF param_int(6): Type of ensemble transformation matrix; optional, default: 0 PDAF 0: random orthonormal matrix orthogonal to (1,...,1)^T PDAF 1: deterministic transformation PDAF --- Floating point parameters (Array param_real) --- PDAF param_real(1): Forgetting factor (usually >0 and <=1), required PDAF --- Further parameters --- PDAF n_modeltasks: Number of parallel model integration tasks PDAF >=1 for subtypes 0 and 1; not larger than total number of processors PDAF =1 required for subtypes 2 and 3 PDAF screen: Control verbosity of PDAF PDAF 0: no outputs PDAF 1: basic output (default) PDAF 2: 1 plus timing output PDAF 3: 2 plus debug output PDAF +++++++++ End of option overview for the NETF ++++++++++ }}} == LNETF (filtertype=10) == {{{ PDAF Available options for LNETF: PDAF --- Sub-types (Parameter subtype) --- PDAF 0: Standard implementation with ensemble integration PDAF 5: Offline mode PDAF --- Integer parameters (Array param_int) --- PDAF param_int(1): Dimension of state vector (>0), required PDAF param_int(2): Ensemble size (>0), required PDAF param_int(3): Size of lag for smoothing PDAF param_int(4): not used PDAF param_int(5): Type of forgetting factor; optional, default: 0 PDAF 0: forgetting factor on forecast ensemble PDAF 1: forgetting factor on forecast ensemble only observed domains PDAF 2: forgetting factor on analysis ensemble PDAF 3: forgetting factor on analysis ensemble only observed domains PDAF param_int(6): Type of ensemble transformation matrix; optional, default: 0 PDAF 0: random orthonormal matrix orthogonal to (1,...,1)^T PDAF 1: deterministic transformation PDAF --- Floating point parameters (Array param_real) --- PDAF param_real(1): Forgetting factor (usually >0 and <=1), required PDAF --- Further parameters --- PDAF n_modeltasks: Number of parallel model integration tasks PDAF >=1 for subtypes 0 and 1; not larger than total number of processors PDAF =1 required for subtypes 2 and 3 PDAF screen: Control verbosity of PDAF PDAF 0: no outputs PDAF 1: basic output (default) PDAF 2: 1 plus timing output PDAF 3: 2 plus debug output PDAF +++++++++ End of option overview for the LNETF ++++++++++ }}}