Contact: | Jeff Anderson |
Reviewers: | |
Revision: | $Revision: 1.6 $ |
Release Name: | $Name: $ |
Change Date: | $Date: 2006/09/11 14:35:32 $ |
Change history: | see CVS log |
This is the highest level in DART where a module has access to details of both the assim_model structure and the observation structure. Operations like the evaluation of forward operators that require a knowledge of both the observations and the model details are computed here.
types_mod utilities_mod assim_model_mod obs_sequence_mod obs_def_mod time_manager_mod ensemble_manager_mod mpi_utilities_mod
use obs_model_mod, only : | advance_state |
move_ahead |
type(ensemble_type), intent(in) :: ens_handle integer, intent(in) :: ens_size type(obs_sequence_type), intent(in) :: seq integer, intent(in) :: last_key_used integer, dimension(2), intent(out) :: key_bounds integer, intent(out) :: num_obs_in_set integer, intent(in) :: async character(len=129), intent(in) :: adv_ens_command
Given an observation sequence and an ensemble, determines how to advance the model so that the next set of observations can be assimilated. Also returns the first and last keys and the number of observations to be assimilated at this time. The algorithm implemented here (one might want to have other variants) first finds the time of the next observation that has not been assimilated at a previous time. It also determines the time of the ensemble state vectors. It then uses information about the model's time stepping capabilities to determine the time to which the model can be advanced that is CLOSEST to the time of the next observation. For now, this algorithm assumes that the model's timestep is a constant. A window of width equal to the model timestep is centered around the closest model time to the next observation and all observations in this window are added to the set to be assimilated.
ens_handle | Identifies the model state ensemble |
ens_size | Number of ensemble members |
seq | An observation sequence |
last_key_used | Identifies the last observation from the sequence that has been used |
key_bounds | Returned lower and upper bound on observations to be used at this time |
num_obs_in_set | Number of observations to be used at this time |
async | Controls how model is advanced (see filter) |
adv_ens_command | Command issued by shell for async option 2 (see filter) |
type(ensemble_type), intent(inout) :: ens_handle integer, intent(in) :: ens_size type(time_type), intent(in) :: target_time integer, intent(in) :: async character(len=*), intent(in) :: adv_ens_command
Advances all ensemble size copies of an ensemble stored in ens_handle to the target_time. If async=0 this is done by repeated calls to adv_1step subroutine. If async=2, a call to the shell with the command adv_ens_command is used.
ens_handle | Structure for holding ensemble information and data |
ens_size | Ensemble size. |
target_time | Time to which model is to be advanced. |
async | How to advance model: 0=subroutine adv_1step; 2=use shell of adv_ens_co mmand. |
adv_ens_command | Command to be issued to shell to advance model if async=2. |
Routine | Message | Comment |
---|---|---|
move_ahead | next obs time not in model time window | Error in algorithm to compute observation window |
advance_state | target time ###,### is before model_time ###,### | Target time must not be before current model time. |
advance_state | Trying to use ### model states -- too many. Use less than 10000 member ensemble. | Maximum of 9999 ensemble members is allowed. |
advance_state | Can only have 10000 processes. | No more than 9999 processes can run. |
advance_state | input.nml - async is #, must be 0, or 2. | Only 0 or 2 work for async. |