pyPDAF.PDAF.omi_init_dim_obs_l_noniso

pyPDAF.PDAF.omi_init_dim_obs_l_noniso()

The function has to be called in init_dim_obs_l_OBTYPE in each observation module if a domain-localized filter (LESTKF/LETKF/LNETF/LSEIK)is used. It initialises the local observation information for PDAF-OMI for a single local analysis domain. This is used for non-isotropic localisation where the localisation radius is different in each direction. See https://pdaf.awi.de/trac/wiki/OMI_observation_modules#init_dim_obs_l_OBSTYPE and https://pdaf.awi.de/trac/wiki/PDAFomi_init_dim_obs_l#Settingsfornon-isotropiclocalization.

Parameters:

• i_obs (int) – index of observation type

• coords_l (ndarray[tuple[ncoord], np.float64]) –

  Coordinates of current analysis domain

  The array dimension ncoord is number of coordinate dimension.

• locweight (int) – Types of localization function 0) unit weight; 1) exponential; 2) 5-th order polynomial; 3) 5-th order polynomial with regulatioin using mean variance; 4) 5-th order polynomial with regulatioin using variance of single observation point;

• cradius (ndarray[tuple[ncoord], np.float64]) –

  Vector of localization cut-off radii; observation weight=0 if distance > cradius

  The array dimension ncoord is number of coordinate dimension.

• sradius (ndarray[tuple[ncoord], np.float64]) –

  Vector of support radii of localization function. It has no impact if locweight=0; weight = exp(-d / sradius) if locweight=1; weight = 0 if d >= sradius else f(sradius, distance) if locweight in [2,3,4].

  The array dimension ncoord is number of coordinate dimension.

• cnt_obs_l (int) – Local dimension of current observation vector

Returns:

cnt_obs_l – Local dimension of current observation vector

Return type:

int