PointStat: Using Python Embedding for Point Observations

met_tool_wrapper/PointStat/PointStat_python_embedding_obs.conf

Scientific Objective

Compare hourly forecasts for temperature, u-, and v-wind components to observations in a 3-hour observation window. Generate statistics of the results. Calls a Python Embedding script to read point observations.

Datasets

Forecast: NAM temperature, u-wind component, and v-wind component
Observation: prepBUFR data that has been converted to NetCDF format via PB2NC
Location: All of the input data required for this use case can be found in the met_test sample data tarball. Click here to the METplus releases page and download sample data for the appropriate release: https://github.com/dtcenter/METplus/releases
This tarball should be unpacked into the directory that you will set the value of INPUT_BASE. See Running METplus section for more information.
Data Source: Unknown

METplus Components

This use case utilizes the METplus PointStat wrapper to search for files that are valid at a given run time and generate a command to run the MET tool point_stat if all required files are found. This example demonstrates how to configure a use case to call a Python Embedding script to read in point observations into point_stat.

METplus Workflow

PointStat is the only tool called in this example. It processes the following run times:

Valid: 2007-03-30_0Z

METplus Configuration

METplus first loads all of the configuration files found in parm/metplus_config, then it loads any configuration files passed to METplus via the command line with the -c option, i.e. -c parm/use_cases/met_tool_wrapper/PointStat/PointStat_python_embedding_obs.conf

[config]

# Documentation for this use case can be found at
# https://metplus.readthedocs.io/en/latest/generated/met_tool_wrapper/PointStat/PointStat_python_embedding_obs.html

# For additional information, please see the METplus Users Guide.
# https://metplus.readthedocs.io/en/latest/Users_Guide

###
# Processes to run
# https://metplus.readthedocs.io/en/latest/Users_Guide/systemconfiguration.html#process-list
###

PROCESS_LIST = PointStat


###
# Time Info
# LOOP_BY options are INIT, VALID, RETRO, and REALTIME
# If set to INIT or RETRO:
#   INIT_TIME_FMT, INIT_BEG, INIT_END, and INIT_INCREMENT must also be set
# If set to VALID or REALTIME:
#   VALID_TIME_FMT, VALID_BEG, VALID_END, and VALID_INCREMENT must also be set
# LEAD_SEQ is the list of forecast leads to process
# https://metplus.readthedocs.io/en/latest/Users_Guide/systemconfiguration.html#timing-control
###

LOOP_BY = INIT
INIT_TIME_FMT = %Y%m%d
INIT_BEG = 20070330
INIT_END = 20070330
INIT_INCREMENT = 1M

LEAD_SEQ = 36


###
# File I/O
# https://metplus.readthedocs.io/en/latest/Users_Guide/systemconfiguration.html#directory-and-filename-template-info
###

FCST_POINT_STAT_INPUT_DIR = {INPUT_BASE}/met_test/data/sample_fcst
FCST_POINT_STAT_INPUT_TEMPLATE = {init?fmt=%Y%m%d%H}/nam.t00z.awip1236.tm00.{init?fmt=%Y%m%d}.grb

OBS_POINT_STAT_INPUT_DIR =
OBS_POINT_STAT_INPUT_TEMPLATE = PYTHON_NUMPY= {MET_INSTALL_DIR}/share/met/python/examples/read_met_point_obs.py {INPUT_BASE}/met_test/out/pb2nc/sample_pb.nc

POINT_STAT_OUTPUT_DIR = {OUTPUT_BASE}/point_stat_py_embed_obs

POINT_STAT_CLIMO_MEAN_INPUT_DIR =
POINT_STAT_CLIMO_MEAN_INPUT_TEMPLATE =

POINT_STAT_CLIMO_STDEV_INPUT_DIR =
POINT_STAT_CLIMO_STDEV_INPUT_TEMPLATE =


###
# Field Info
# https://metplus.readthedocs.io/en/latest/Users_Guide/systemconfiguration.html#field-info
###

POINT_STAT_ONCE_PER_FIELD = False

#POINT_STAT_FCST_FILE_TYPE =
#POINT_STAT_OBS_FILE_TYPE =

FCST_VAR1_NAME = TMP
FCST_VAR1_LEVELS = P750-900
FCST_VAR1_THRESH = <=273, >273
OBS_VAR1_NAME = TMP
OBS_VAR1_LEVELS = P750-900
OBS_VAR1_THRESH = <=273, >273
OBS_VAR1_OPTIONS = set_attr_units = "K"

FCST_VAR2_NAME = UGRD
FCST_VAR2_LEVELS = Z10
FCST_VAR2_THRESH = >=5
OBS_VAR2_NAME = UGRD
OBS_VAR2_LEVELS = Z10
OBS_VAR2_THRESH = >=5
OBS_VAR2_OPTIONS = set_attr_units = "m/s"

FCST_VAR3_NAME = VGRD
FCST_VAR3_LEVELS = Z10
FCST_VAR3_THRESH = >=5
OBS_VAR3_NAME = VGRD
OBS_VAR3_LEVELS = Z10
OBS_VAR3_THRESH = >=5
OBS_VAR3_OPTIONS = set_attr_units = "m/s"


###
# PointStat Settings
# https://metplus.readthedocs.io/en/latest/Users_Guide/wrappers.html#pointstat
###

#LOG_POINT_STAT_VERBOSITY = 2

POINT_STAT_CONFIG_FILE ={PARM_BASE}/met_config/PointStatConfig_wrapped

#POINT_STAT_OBS_QUALITY_INC = 1, 2, 3
#POINT_STAT_OBS_QUALITY_EXC =

POINT_STAT_CLIMO_MEAN_TIME_INTERP_METHOD = NEAREST
#POINT_STAT_CLIMO_STDEV_TIME_INTERP_METHOD =

#POINT_STAT_INTERP_VLD_THRESH =
#POINT_STAT_INTERP_SHAPE =
POINT_STAT_INTERP_TYPE_METHOD = BILIN
POINT_STAT_INTERP_TYPE_WIDTH = 2

#POINT_STAT_OUTPUT_FLAG_FHO =
#POINT_STAT_OUTPUT_FLAG_CTC =
#POINT_STAT_OUTPUT_FLAG_CTS =
#POINT_STAT_OUTPUT_FLAG_MCTC =
#POINT_STAT_OUTPUT_FLAG_MCTS =
#POINT_STAT_OUTPUT_FLAG_CNT =
POINT_STAT_OUTPUT_FLAG_SL1L2 = STAT
#POINT_STAT_OUTPUT_FLAG_SAL1L2 =
POINT_STAT_OUTPUT_FLAG_VL1L2 = STAT
#POINT_STAT_OUTPUT_FLAG_VAL1L2 =
#POINT_STAT_OUTPUT_FLAG_VCNT =
#POINT_STAT_OUTPUT_FLAG_PCT =
#POINT_STAT_OUTPUT_FLAG_PSTD =
#POINT_STAT_OUTPUT_FLAG_PJC =
#POINT_STAT_OUTPUT_FLAG_PRC =
#POINT_STAT_OUTPUT_FLAG_ECNT =
#POINT_STAT_OUTPUT_FLAG_RPS =
#POINT_STAT_OUTPUT_FLAG_ECLV =
#POINT_STAT_OUTPUT_FLAG_MPR =
#POINT_STAT_OUTPUT_FLAG_ORANK =

#POINT_STAT_CLIMO_CDF_BINS = 1
#POINT_STAT_CLIMO_CDF_CENTER_BINS = False
#POINT_STAT_CLIMO_CDF_WRITE_BINS = True
#POINT_STAT_CLIMO_CDF_DIRECT_PROB =

#POINT_STAT_HSS_EC_VALUE =

OBS_POINT_STAT_WINDOW_BEGIN = -5400
OBS_POINT_STAT_WINDOW_END = 5400

POINT_STAT_OFFSETS = 0

MODEL = WRF

POINT_STAT_DESC = NA
OBTYPE =

POINT_STAT_REGRID_TO_GRID = NONE
POINT_STAT_REGRID_METHOD = BILIN
POINT_STAT_REGRID_WIDTH = 2

POINT_STAT_OUTPUT_PREFIX =

#POINT_STAT_OBS_VALID_BEG = {valid?fmt=%Y%m%d_%H}
#POINT_STAT_OBS_VALID_END = {valid?fmt=%Y%m%d_%H}

POINT_STAT_MASK_GRID = DTC165, DTC166
POINT_STAT_MASK_POLY = MET_BASE/poly/LMV.poly
POINT_STAT_MASK_SID =
#POINT_STAT_MASK_LLPNT =

POINT_STAT_MESSAGE_TYPE = ADPUPA, ADPSFC

#POINT_STAT_HIRA_FLAG =
#POINT_STAT_HIRA_WIDTH =
#POINT_STAT_HIRA_VLD_THRESH =
#POINT_STAT_HIRA_COV_THRESH =
#POINT_STAT_HIRA_SHAPE =
#POINT_STAT_HIRA_PROB_CAT_THRESH =

#POINT_STAT_MESSAGE_TYPE_GROUP_MAP =

MET Configuration

METplus sets environment variables based on user settings in the METplus configuration file. See How METplus controls MET config file settings for more details.

YOU SHOULD NOT SET ANY OF THESE ENVIRONMENT VARIABLES YOURSELF! THEY WILL BE OVERWRITTEN BY METPLUS WHEN IT CALLS THE MET TOOLS!

If there is a setting in the MET configuration file that is currently not supported by METplus you’d like to control, please refer to: Overriding Unsupported MET config file settings

Note

See the PointStat MET Configuration section of the User’s Guide for more information on the environment variables used in the file below:

////////////////////////////////////////////////////////////////////////////////
//
// Point-Stat configuration file.
//
// For additional information, see the MET_BASE/config/README file.
//
////////////////////////////////////////////////////////////////////////////////

//
// Output model name to be written
//
// model =
${METPLUS_MODEL}

//
// Output description to be written
// May be set separately in each "obs.field" entry
//
// desc =
${METPLUS_DESC}

////////////////////////////////////////////////////////////////////////////////

//
// Verification grid
//
// regrid = {
${METPLUS_REGRID_DICT}

////////////////////////////////////////////////////////////////////////////////

//
// May be set separately in each "field" entry
//
censor_thresh = [];
censor_val    = [];
cat_thresh    = [ NA ];
cnt_thresh    = [ NA ];
cnt_logic     = UNION;
wind_thresh   = [ NA ];
wind_logic    = UNION;
eclv_points   = 0.05;
//hss_ec_value =
${METPLUS_HSS_EC_VALUE}
rank_corr_flag = FALSE;

//
// Forecast and observation fields to be verified
//
fcst = {
  ${METPLUS_FCST_FILE_TYPE}
  ${METPLUS_FCST_FIELD}
}

obs = {
  ${METPLUS_OBS_FILE_TYPE}
  ${METPLUS_OBS_FIELD}
}
////////////////////////////////////////////////////////////////////////////////

//
// Point observation filtering options
// May be set separately in each "obs.field" entry
//
// message_type =
${METPLUS_MESSAGE_TYPE}
sid_exc        = [];

//obs_quality_inc =
${METPLUS_OBS_QUALITY_INC}

//obs_quality_exc =
${METPLUS_OBS_QUALITY_EXC}

duplicate_flag = NONE;
obs_summary    = NONE;
obs_perc_value = 50;

//
// Mapping of message type group name to comma-separated list of values.
//
//message_type_group_map =
${METPLUS_MESSAGE_TYPE_GROUP_MAP}

////////////////////////////////////////////////////////////////////////////////

//
// Climatology data
//
//climo_mean = {
${METPLUS_CLIMO_MEAN_DICT}


//climo_stdev = {
${METPLUS_CLIMO_STDEV_DICT}

//
// May be set separately in each "obs.field" entry
//
//climo_cdf = {
${METPLUS_CLIMO_CDF_DICT}

////////////////////////////////////////////////////////////////////////////////

//
// Point observation time window
//
// obs_window = {
${METPLUS_OBS_WINDOW_DICT}

////////////////////////////////////////////////////////////////////////////////

//
// Verification masking regions
//
//mask = {
${METPLUS_MASK_DICT}

////////////////////////////////////////////////////////////////////////////////

//
// Confidence interval settings
//
ci_alpha  = [ 0.05 ];

boot = {
   interval = PCTILE;
   rep_prop = 1.0;
   n_rep    = 0;
   rng      = "mt19937";
   seed     = "";
}

////////////////////////////////////////////////////////////////////////////////

//
// Interpolation methods
//
//interp = {
${METPLUS_INTERP_DICT}

////////////////////////////////////////////////////////////////////////////////

//
// HiRA verification method
//
//hira = {
${METPLUS_HIRA_DICT}

////////////////////////////////////////////////////////////////////////////////

//
// Statistical output types
//
//output_flag = {
${METPLUS_OUTPUT_FLAG_DICT}

////////////////////////////////////////////////////////////////////////////////
// Threshold for SEEPS p1 (Probability of being dry)

//seeps_p1_thresh =
${METPLUS_SEEPS_P1_THRESH}

////////////////////////////////////////////////////////////////////////////////

tmp_dir = "${MET_TMP_DIR}";

// output_prefix =
${METPLUS_OUTPUT_PREFIX}
//version        = "V10.0.0";

////////////////////////////////////////////////////////////////////////////////

${METPLUS_MET_CONFIG_OVERRIDES}

Running METplus

This use case can be run two ways:

  1. Passing in PointStat_python_embedding_obs.conf then a user-specific system configuration file:

    run_metplus.py -c /path/to/METplus/parm/use_cases/met_tool_wrapper/PointStat/PointStat_python_embedding_obs.conf -c /path/to/user_system.conf
    
  2. Modifying the configurations in parm/metplus_config, then passing in PointStat_python_embedding_obs.conf:

    run_metplus.py -c /path/to/METplus/parm/use_cases/met_tool_wrapper/PointStat/PointStat_python_embedding_obs.conf
    

The former method is recommended. Whether you add them to a user-specific configuration file or modify the metplus_config files, the following variables must be set correctly:

  • INPUT_BASE - Path to directory where sample data tarballs are unpacked (See Datasets section to obtain tarballs). This is not required to run METplus, but it is required to run the examples in parm/use_cases

  • OUTPUT_BASE - Path where METplus output will be written. This must be in a location where you have write permissions

  • MET_INSTALL_DIR - Path to location where MET is installed locally

Example User Configuration File:

[dir]
INPUT_BASE = /path/to/sample/input/data
OUTPUT_BASE = /path/to/output/dir
MET_INSTALL_DIR = /path/to/met-X.Y

NOTE: All of these items must be found under the [dir] section.

Expected Output

A successful run will output the following both to the screen and to the logfile:

INFO: METplus has successfully finished running.

Refer to the value set for OUTPUT_BASE to find where the output data was generated. Output for this use case will be found in point_stat_py_embed_obs (relative to OUTPUT_BASE) and will contain the following files:

  • point_stat_360000L_20070331_120000V.stat

Keywords

Note

  • PointStatToolUseCase

  • PythonEmbeddingFileUseCase

Navigate to the METplus Quick Search for Use Cases page to discover other similar use cases.

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