TECA
The Toolkit for Extreme Climate Analysis
teca_bayesian_ar_detect Class Reference

The TECA BARD atmospheric river detector. More...

#include <teca_bayesian_ar_detect.h>

Inheritance diagram for teca_bayesian_ar_detect:
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Collaboration diagram for teca_bayesian_ar_detect:
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Public Member Functions

std::shared_ptr< teca_bayesian_ar_detectshared_from_this ()
 
std::shared_ptr< teca_bayesian_ar_detect const > shared_from_this () const
 
 teca_bayesian_ar_detect (const teca_bayesian_ar_detect &src)=delete
 
 teca_bayesian_ar_detect (teca_bayesian_ar_detect &&src)=delete
 
teca_bayesian_ar_detectoperator= (const teca_bayesian_ar_detect &src)=delete
 
teca_bayesian_ar_detectoperator= (teca_bayesian_ar_detect &&src)=delete
 
const char * get_class_name () const override
 
void set_thread_pool_size (int n_threads)
 
unsigned int get_thread_pool_size () const noexcept
 Get the number of threads in the pool. More...
 
void set_input_connection (unsigned int id, const teca_algorithm_output_port &port) override
 
ivt_variable

Sets the name of the array containing the IVT field to detect ARs in.

void set_ivt_variable (const std::string &v)
 
const std::string & get_ivt_variable () const
 
min_ivt_variable

Set the names of the minimum IVT column in the parameter table.

void set_min_ivt_variable (const std::string &v)
 
const std::string & get_min_ivt_variable () const
 
min_component_area_variable

Set the names of the minimum area column in the parameter table.

void set_min_component_area_variable (const std::string &v)
 
const std::string & get_min_component_area_variable () const
 
hwhm_latitude_variable

Set the names of the HWHM column in the parameter table.

void set_hwhm_latitude_variable (const std::string &v)
 
const std::string & get_hwhm_latitude_variable () const
 
probability variable

Set the name of the variable to store output probability as.

void set_ar_probability_variable (const std::string &v)
 
const std::string & get_ar_probability_variable () const
 
bind_threads

set/get thread affinity mode. When 0 threads are not bound CPU cores, allowing for migration among all cores. This will likely degrade performance. Default is 1.

void set_bind_threads (const int &v)
 
const int & get_bind_threads () const
 
stream_size

set the smallest number of datasets to gather per call to execute. the default (-1) results in all datasets being gathered. In practice more datasets will be returned if ready

void set_stream_size (const int &v)
 
const int & get_stream_size () const
 
poll_interval

set the duration in nanoseconds to wait between checking for completed tasks

void set_poll_interval (const long long &v)
 
const long long & get_poll_interval () const
 
threads_per_device

Set the number of threads to service each GPU/device. Other threads will use the CPU.

void set_threads_per_device (const int &v)
 
const int & get_threads_per_device () const
 
ranks_per_device

Set the number of ranks that have access to each GPU/device. Other ranks will use the CPU.

void set_ranks_per_device (const int &v)
 
const int & get_ranks_per_device () const
 
propagate_device_assignment

When set device assignment is taken from down stream request. Otherwise the thread executing the pipeline will provide the assignment.

void set_propagate_device_assignment (const int &v)
 
const int & get_propagate_device_assignment () const
 
- Public Member Functions inherited from teca_algorithm
 teca_algorithm (const teca_algorithm &src)=delete
 
 teca_algorithm (teca_algorithm &&src)=delete
 
teca_algorithmoperator= (const teca_algorithm &src)=delete
 
teca_algorithmoperator= (teca_algorithm &&src)=delete
 
void set_communicator (MPI_Comm comm)
 
MPI_Comm get_communicator ()
 get the active communicator More...
 
virtual teca_algorithm_output_port get_output_port (unsigned int port=0)
 
void set_input_connection (const teca_algorithm_output_port &port)
 set an input to this algorithm More...
 
virtual void remove_input_connection (unsigned int id)
 remove input connections More...
 
void clear_input_connections ()
 remove all input connections More...
 
const_p_teca_dataset get_output_data (unsigned int port=0)
 
void pop_cache (unsigned int port=0, int top=0)
 
void set_cache_size (unsigned int n)
 set the cache size. the default is 1. (threadsafe) More...
 
virtual int update ()
 execute the pipeline from this instance up. More...
 
virtual int update (unsigned int port)
 execute the pipeline from this instance up. More...
 
virtual teca_metadata update_metadata (unsigned int port=0)
 get meta data considering this instance up. More...
 
void set_executive (p_teca_algorithm_executive exe)
 set the executive More...
 
p_teca_algorithm_executive get_executive ()
 get the executive More...
 
virtual void to_stream (std::ostream &s) const
 
virtual void from_stream (std::istream &s)
 deserialize from the stream. More...
 
void set_verbose (const int &v)
 
const int & get_verbose () const
 

Static Public Member Functions

static p_teca_bayesian_ar_detect New ()
 

Protected Member Functions

std::string get_label_variable (const teca_metadata &request)
 
- Protected Member Functions inherited from teca_algorithm
void set_number_of_input_connections (unsigned int n)
 
void set_number_of_output_ports (unsigned int n)
 
void set_modified (unsigned int port)
 an overload to set_modified by port More...
 
virtual teca_metadata get_cache_key (unsigned int port, const teca_metadata &request) const
 
virtual teca_metadata get_output_metadata (teca_algorithm_output_port &current)
 
virtual const_p_teca_dataset request_data (teca_algorithm_output_port &port, const teca_metadata &request)
 
virtual int validate_cache (teca_algorithm_output_port &current)
 
virtual void clear_modified (teca_algorithm_output_port current)
 
const_p_teca_dataset get_output_data (unsigned int port, const teca_metadata &request)
 
int cache_output_data (unsigned int port, const teca_metadata &request, const_p_teca_dataset &data)
 
void clear_cache (unsigned int port)
 clear the cache on the given output port More...
 
unsigned int get_number_of_input_connections ()
 get the number of input connections More...
 
teca_algorithm_output_portget_input_connection (unsigned int i)
 
void clear_modified (unsigned int port)
 clear the modified flag on the i'th output More...
 
int get_modified (unsigned int port) const
 return the output port's modified flag value More...
 

Additional Inherited Members

- Protected Attributes inherited from teca_algorithm
int verbose
 

Detailed Description

The TECA BARD atmospheric river detector.

Given a point wise IVT (integrated vapor transport) field and a training parameter table computes the point wise probability of an atmospheric river using the TECA BARD algorithm.

Required inputs:

1. IVT (integrated vapor transport) array on a Cartesian nesh.
2. a compatible parameter table. columns of which are : min IVT,
   component area, HWHM lattitude

The names of the input varibale and columns can be specified at run time through algorithm properties.

Produces:

A Cartesian mesh with probability of an AR stored in the point centered
array named "ar_probability". The diagnostic quantites "ar_count" amd
"parameter_table_row" are stored in information arrays.

For more information see:

O’Brien, T. A., Risser, M. D., Loring, B., Elbashandy, A. A., Krishnan, H., Johnson, J., Patricola, C. M., O’Brien, J. P., Mahesh, A., Arriaga Ramirez, S., Rhoades, A. M., Charn, A., Inda Díaz, H., & Collins, W. D. (2020). Detection of atmospheric rivers with inline uncertainty quantification: TECA-BARD v1.0.1. Geoscientific Model Development, 13(12), 6131–6148. https://doi.org/10.5194/gmd-13-6131-2020

Member Function Documentation

◆ get_ar_probability_variable()

const std::string& teca_bayesian_ar_detect::get_ar_probability_variable ( ) const
inline

Get the value of the ar_probability_variable algorithm property

◆ get_bind_threads()

const int& teca_bayesian_ar_detect::get_bind_threads ( ) const
inline

Get the value of the bind_threads algorithm property

◆ get_class_name()

const char* teca_bayesian_ar_detect::get_class_name ( ) const
inlineoverridevirtual

returns the name of the class

Implements teca_algorithm.

◆ get_hwhm_latitude_variable()

const std::string& teca_bayesian_ar_detect::get_hwhm_latitude_variable ( ) const
inline

Get the value of the hwhm_latitude_variable algorithm property

◆ get_ivt_variable()

const std::string& teca_bayesian_ar_detect::get_ivt_variable ( ) const
inline

Get the value of the ivt_variable algorithm property

◆ get_min_component_area_variable()

const std::string& teca_bayesian_ar_detect::get_min_component_area_variable ( ) const
inline

Get the value of the min_component_area_variable algorithm property

◆ get_min_ivt_variable()

const std::string& teca_bayesian_ar_detect::get_min_ivt_variable ( ) const
inline

Get the value of the min_ivt_variable algorithm property

◆ get_poll_interval()

const long long& teca_bayesian_ar_detect::get_poll_interval ( ) const
inline

Get the value of the poll_interval algorithm property

◆ get_propagate_device_assignment()

const int& teca_bayesian_ar_detect::get_propagate_device_assignment ( ) const
inline

Get the value of the propagate_device_assignment algorithm property

◆ get_ranks_per_device()

const int& teca_bayesian_ar_detect::get_ranks_per_device ( ) const
inline

Get the value of the ranks_per_device algorithm property

◆ get_stream_size()

const int& teca_bayesian_ar_detect::get_stream_size ( ) const
inline

Get the value of the stream_size algorithm property

◆ get_thread_pool_size()

unsigned int teca_bayesian_ar_detect::get_thread_pool_size ( ) const
noexcept

Get the number of threads in the pool.

◆ get_threads_per_device()

const int& teca_bayesian_ar_detect::get_threads_per_device ( ) const
inline

Get the value of the threads_per_device algorithm property

◆ New()

static p_teca_bayesian_ar_detect teca_bayesian_ar_detect::New ( )
inlinestatic

Returns an instance of teca_bayesian_ar_detect

◆ set_ar_probability_variable()

void teca_bayesian_ar_detect::set_ar_probability_variable ( const std::string &  v)
inline

Set the value of the ar_probability_variable algorithm property

◆ set_bind_threads()

void teca_bayesian_ar_detect::set_bind_threads ( const int &  v)
inline

Set the value of the bind_threads algorithm property

◆ set_hwhm_latitude_variable()

void teca_bayesian_ar_detect::set_hwhm_latitude_variable ( const std::string &  v)
inline

Set the value of the hwhm_latitude_variable algorithm property

◆ set_input_connection()

void teca_bayesian_ar_detect::set_input_connection ( unsigned int  id,
const teca_algorithm_output_port port 
)
overridevirtual

override the input connections because we are going to take the first input and use it to generate metadata. the second input then becomes the only one the pipeline knows about.

Reimplemented from teca_algorithm.

◆ set_ivt_variable()

void teca_bayesian_ar_detect::set_ivt_variable ( const std::string &  v)
inline

Set the value of the ivt_variable algorithm property

◆ set_min_component_area_variable()

void teca_bayesian_ar_detect::set_min_component_area_variable ( const std::string &  v)
inline

Set the value of the min_component_area_variable algorithm property

◆ set_min_ivt_variable()

void teca_bayesian_ar_detect::set_min_ivt_variable ( const std::string &  v)
inline

Set the value of the min_ivt_variable algorithm property

◆ set_poll_interval()

void teca_bayesian_ar_detect::set_poll_interval ( const long long &  v)
inline

Set the value of the poll_interval algorithm property

◆ set_propagate_device_assignment()

void teca_bayesian_ar_detect::set_propagate_device_assignment ( const int &  v)
inline

Set the value of the propagate_device_assignment algorithm property

◆ set_ranks_per_device()

void teca_bayesian_ar_detect::set_ranks_per_device ( const int &  v)
inline

Set the value of the ranks_per_device algorithm property

◆ set_stream_size()

void teca_bayesian_ar_detect::set_stream_size ( const int &  v)
inline

Set the value of the stream_size algorithm property

◆ set_thread_pool_size()

void teca_bayesian_ar_detect::set_thread_pool_size ( int  n_threads)

Set the number of threads in the pool. Setting to -1 results in a thread per core factoring in all MPI ranks running on the node. the default is -1.

Note
this constructs the thread pool. properties that affect the thread pool must be set before construction.

◆ set_threads_per_device()

void teca_bayesian_ar_detect::set_threads_per_device ( const int &  v)
inline

Set the value of the threads_per_device algorithm property

◆ shared_from_this() [1/2]

std::shared_ptr< teca_bayesian_ar_detect > teca_bayesian_ar_detect::shared_from_this ( )
inline

Enables the static constructor

◆ shared_from_this() [2/2]

std::shared_ptr< teca_bayesian_ar_detect const> teca_bayesian_ar_detect::shared_from_this ( ) const
inline

Enables the static constructor


The documentation for this class was generated from the following file: