Note
Click here to download the full example code
5.2.3.8. Point2Grid: Calculate Practically Perfect Probabilities
model_applications/ convection_allowing_models/ Point2Grid_obsLSR_ObsOnly_PracticallyPerfect.conf
Scientific Objective
To use storm reports as observations to calculate Practically Perfect probabilities.
Datasets
Relevant information about the datasets that would be beneficial include:
Observation dataset: Local Storm Reports
METplus Components
This use case runs ASCII2NC to get the storm reports in netcdf format, runs Point2Grid to get those netcdf observations onto a grid, runs RegridDataPlane to use that gridded data as a mask to calculate probabilities
METplus Workflow
The following tools are used for each run time:
ASCII2NC > Point2Grid > RegridDataPlane
This example runs on a single time/file at a time. Each storm report is assumed to have no more than 24 hours of data inside
Run times:
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/model_applications/convection_allowing_models/Point2Grid_obsLSR_ObsOnly_PracticallyPerfect.conf
[config]
## Configuration-related settings such as the process list, begin and end times, etc.
# List of applications to run - Ascii2nc and Point2Grid
PROCESS_LIST = ASCII2NC, Point2Grid, RegridDataPlane
# time looping - 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
LOOP_BY = INIT
# Format of VALID_BEG and VALID_END using % items
# %Y = 4 digit year, %m = 2 digit month, %d = 2 digit day, etc.
# see www.strftime.org for more information
# %Y%m%d%H expands to YYYYMMDDHH
INIT_TIME_FMT = %Y%m%d%H
# Start time for METplus run - must match INIT_TIME_FMT
INIT_BEG = 2020020500
# End time for METplus run - must match INIT_TIME_FMT
INIT_END = 2020020500
# Increment between METplus runs (in seconds if no units are specified)
# Must be >= 60 seconds
INIT_INCREMENT = 24H
# List of forecast leads to process for each run time (init or valid)
# If unset, defaults to 0 (don't loop through forecast leads
LEAD_SEQ = 12H
# Order of loops to process data - Options are times, processes
# Not relevant if only one item is in the PROCESS_LIST
# times = run all wrappers in the PROCESS_LIST for a single run time, then
# increment the run time and run all wrappers again until all times have
# been evaluated.
# processes = run the first wrapper in the PROCESS_LIST for all times
# specified, then repeat for the next item in the PROCESS_LIST until all
# wrappers have been run
LOOP_ORDER = times
# Time relative to valid time (in seconds if no units are specified) to allow files to be considered
# valid. Set both BEGIN and END to 0 to require the exact time in the filename
# Not used in this example.
ASCII2NC_FILE_WINDOW_BEGIN = 0
ASCII2NC_FILE_WINDOW_END = 0
# Time relative to each input file's valid time (in seconds if no units are specified) for data within the file to be
# considered valid.
ASCII2NC_WINDOW_BEGIN = 0
ASCII2NC_WINDOW_END = 0
# Value to pass with the -format argument to ascii2nc. See MET User's Guide for more information
ASCII2NC_INPUT_FORMAT = python
ASCII2NC_TIME_SUMMARY_FLAG = False
ASCII2NC_TIME_SUMMARY_RAW_DATA = False
ASCII2NC_TIME_SUMMARY_BEG = 000000
ASCII2NC_TIME_SUMMARY_END = 235959
ASCII2NC_TIME_SUMMARY_STEP = 300
ASCII2NC_TIME_SUMMARY_WIDTH = 600
ASCII2NC_TIME_SUMMARY_GRIB_CODES = 11, 204, 211
ASCII2NC_TIME_SUMMARY_VAR_NAMES =
ASCII2NC_TIME_SUMMARY_TYPES = min, max, range, mean, stdev, median, p80
ASCII2NC_TIME_SUMMARY_VALID_FREQ = 0
ASCII2NC_TIME_SUMMARY_VALID_THRESH = 0.0
# Verbosity of MET output - overrides LOG_VERBOSITY for Point2Grid only
# POINT2GRID_VERBOSITY = 1
# Time relative to valid time (in seconds if no units are specified) to allow files to be considered
# valid. Set both BEGIN and END to 0 to require the exact time in the filename
# Not used in this example.
POINT2GRID_FILE_WINDOW_BEGIN = 0
POINT2GRID_FILE_WINDOW_END = 0
# Value to pass with the -to_grid See MET User's Guide for more information
POINT2GRID_REGRID_TO_GRID = G211
# Value to pass with the -field string. See MET User's Guide for more information
# FIELD and LEVEL both end up in the -field string
POINT2GRID_INPUT_FIELD =Fscale
POINT2GRID_INPUT_LEVEL =
# Value to pass with the -qc argument
POINT2GRID_QC_FLAGS = 0
# Value to pass with the -adp argument - This is a file name with GOES Aerosol Detection Product data
POINT2GRID_ADP =
# Value to pass with the -method argumen - Default is UW_MEAN, other examples are
POINT2GRID_REGRID_METHOD = MAX
# Value to pass with the -gaussian-dx argument - Distance interval for gaussian smoothing
# Default is 81.271
POINT2GRID_GAUSSIAN_DX = 81.271
# Value to pass with the -gaussian-radius argument - radius of influence for the gaussian smoothing
# Default is 120
POINT2GRID_GAUSSIAN_RADIUS = 120
# Value to pass with the -prob_cat_thresh argument - threshold for probability of occurrence
POINT2GRID_PROB_CAT_THRESH =
# Value to pass with the -vld_thresh argument - threshold for percentage of valid data .5 default
POINT2GRID_VLD_THRESH =
# Regrid Data Plane
OBS_REGRID_DATA_PLANE_RUN = True
REGRID_DATA_PLANE_ONCE_PER_FIELD = False
# Name of input field to process
OBS_REGRID_DATA_PLANE_VAR1_INPUT_FIELD_NAME = Fscale_mask
# Level of input field to process
OBS_REGRID_DATA_PLANE_VAR1_INPUT_LEVEL = "(*,*)"
# Name of output field to create
OBS_REGRID_DATA_PLANE_VAR1_OUTPUT_FIELD_NAME = PP_probs
# Mask to use for regridding
REGRID_DATA_PLANE_VERIF_GRID = G211
# Method to run regrid_data_plane, not setting this will default to NEAREST
REGRID_DATA_PLANE_METHOD = MAXGAUSS
# Regridding width used in regrid_data_plane, not setting this will default to 1
REGRID_DATA_PLANE_WIDTH = 1
# Set Gaussian dx value to add as command line argument - not added if unset or blank
REGRID_DATA_PLANE_GAUSSIAN_DX = 81.271
# Set Gaussian filter radius value to add as command line argument - not added if unset or blank
REGRID_DATA_PLANE_GAUSSIAN_RADIUS = 120
# End of [config] section and start of [dir] section
[dir]
# Input/Output directories can be left empty if the corresponding template contains the full path to the files
ASCII2NC_INPUT_DIR = {INPUT_BASE}/model_applications/convection_allowing_models/practically_perfect
POINT2GRID_INPUT_DIR = {OUTPUT_BASE}/model_applications/convection_allowing_models/practically_perfect
POINT2GRID_OUTPUT_DIR = {OUTPUT_BASE}/model_applications/convection_allowing_models/practically_perfect
OBS_REGRID_DATA_PLANE_INPUT_DIR = {POINT2GRID_OUTPUT_DIR}
OBS_REGRID_DATA_PLANE_OUTPUT_DIR = {POINT2GRID_OUTPUT_DIR}
CONFIG_DIR = {PARM_BASE}/use_cases/model_applications/convection_allowing_models/Point2Grid_obsLSR_ObsOnly_PracticallyPerfect
# End of [dir] section and start of [filename_templates] section
[filename_templates]
# Template to look for input to ASCII2NC input storm reports
ASCII2NC_INPUT_TEMPLATE = "{CONFIG_DIR}/read_ascii_storm.py {ASCII2NC_INPUT_DIR}/200205_rpts_filtered.csv"
ASCII2NC_OUTPUT_TEMPLATE = {OUTPUT_BASE}/model_applications/convection_allowing_models/practically_perfect/StormReps.{init?fmt=%Y%m%d%H}.nc
# Templates to use for input to Point2Grid from the output of ASCII2NC and output from Point2Grid
POINT2GRID_INPUT_TEMPLATE = {OUTPUT_BASE}/model_applications/convection_allowing_models/practically_perfect/StormReps.{init?fmt=%Y%m%d%H}.nc
POINT2GRID_OUTPUT_TEMPLATE = {OUTPUT_BASE}/model_applications/convection_allowing_models/practically_perfect/StormReps_211.{init?fmt=%Y%m%d%H}.nc
#Regrid data plane templates
OBS_REGRID_DATA_PLANE_INPUT_TEMPLATE = StormReps_211.{init?fmt=%Y%m%d%H}.nc
OBS_REGRID_DATA_PLANE_OUTPUT_TEMPLATE = StormReps_211_Probs.{init?fmt=%Y%m%d}.nc
MET Configuration
METplus sets environment variables based on the values in the METplus configuration file. These variables are referenced in the MET configuration file. 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 not controlled by an environment variable, you can add additional environment variables to be set only within the METplus environment using the [user_env_vars] section of the METplus configuration files. See the ‘User Defined Config’ section on the ‘System Configuration’ page of the METplus User’s Guide for more information.
////////////////////////////////////////////////////////////////////////////////
//
// Default ascii2nc configuration file
//
////////////////////////////////////////////////////////////////////////////////
//
// The parameters listed below are used to summarize the ASCII data read in
//
//
// Time periods for the summarization
// obs_var (string array) is added and works like grib_code (int array)
// when the obs name is given instead of grib_code
//
${METPLUS_TIME_SUMMARY_DICT}
//
// Mapping of input little_r report types to output message types
//
message_type_map = [
{ key = "FM-12 SYNOP"; val = "ADPSFC"; },
{ key = "FM-13 SHIP"; val = "SFCSHP"; },
{ key = "FM-15 METAR"; val = "ADPSFC"; },
{ key = "FM-18 BUOY"; val = "SFCSHP"; },
{ key = "FM-281 QSCAT"; val = "ASCATW"; },
{ key = "FM-32 PILOT"; val = "ADPUPA"; },
{ key = "FM-35 TEMP"; val = "ADPUPA"; },
{ key = "FM-88 SATOB"; val = "SATWND"; },
{ key = "FM-97 ACARS"; val = "AIRCFT"; }
];
//
// Indicate a version number for the contents of this configuration file.
// The value should generally not be modified.
//
//version = "V10.0";
${METPLUS_MET_CONFIG_OVERRIDES}
See the following files for more information about the environment variables set in this configuration file.
parm/use_cases/met_tool_wrapper/Point2Grid/Point2Grid.py parm/use_cases/met_tool_wrapper/RegridDataPlane/RegridDataPlane.py
Python Embedding
This use case uses a Python embedding script to read input data
parm/use_cases/model_applications/convection_allowing_models/Point2Grid_obsLSR_ObsOnly_PracticallyPerfect/read_ascii_storm.py
import pandas as pd
import os
import sys
import ntpath
########################################################################
print('Python Script:\t', sys.argv[0])
##
## input file specified on the command line
## load the data into the numpy array
##
if len(sys.argv) == 2:
# Read the input file as the first argument
input_file = os.path.expandvars(sys.argv[1])
try:
print("Input File:\t" + repr(input_file))
# Read and format the input 11-column observations:
# (1) string: Message_Type
# (2) string: Station_ID
# (3) string: Valid_Time(YYYYMMDD_HHMMSS)
# (4) numeric: Lat(Deg North)
# (5) numeric: Lon(Deg East)
# (6) numeric: Elevation(msl)
# (7) string: Var_Name(or GRIB_Code)
# (8) numeric: Level
# (9) numeric: Height(msl or agl)
# (10) string: QC_String
# (11) numeric: Observation_Value
column_names = ["Message_Type","Station_ID","Valid_Time","Lat","Lon","Elevation","Var_Name","Level","Height","QC_String","Observation_Value"]
# Create a blank dataframe based on the 11 column standard
point_frame = pd.DataFrame(columns=column_names,dtype='str')
#Read in the Storm report, 8 columns not matching the 11 column standard
temp_data = pd.read_csv(input_file,names=['Time', 'Fscale', 'Location', 'County','Stat','Lat', 'Lon', 'Comment'], dtype=str ,skiprows=1)
#Strip out any rows in the middle that are actually header rows
#Allows for concatenating storm reports together
temp_data = temp_data[temp_data["Time"] != "Time"]
#Change some columns to floats and ints
temp_data[["Lat","Lon"]] = temp_data[["Lat","Lon"]].apply(pd.to_numeric)
#Assign approprite columns to point_frame leaving missing as empty strings
point_frame["Lat"] = temp_data["Lat"]
point_frame["Lon"] = temp_data["Lon"]
#point_frame["Station_ID"] = temp_data["County"]
point_frame["Station_ID"] = "NA"
point_frame["Var_Name"] = "Fscale"
point_frame["Message_Type"] = "StormReport"
#Assign 0.0 values to numeric point_frame columns that we don't have in the csv file
point_frame["Elevation"] = 0.0
point_frame["Level"] = 0.0
point_frame["Height"] = 0.0
#Change Comments into a "QC" string Tornado=1, Hail=2, Wind=3, Other=4
point_frame["QC_String"] = "4"
mask = temp_data["Comment"].str.contains('TORNADO')
point_frame.loc[mask,"QC_String"] = "1"
mask = temp_data["Comment"].str.contains('HAIL')
point_frame.loc[mask,"QC_String"] = "2"
mask = temp_data["Comment"].str.contains('WIND')
point_frame.loc[mask,"QC_String"] = "3"
#Time is HHMM in the csv file so we need to use a piece of the filename and
#this value to create a valid date string
file_without_path = ntpath.basename(input_file)
year_month_day = "20"+file_without_path[0:6]
point_frame["Valid_Time"] = year_month_day+"_"+temp_data["Time"]+"00"
#Currently we are only interested in the fact that we have a report at that locaton
#and not its actual value so all values are 1.0
point_frame["Observation_Value"] = 1.0
#Ascii2nc wants the final values in a list
point_data = point_frame.values.tolist()
print("Data Length:\t" + repr(len(point_data)))
print("Data Type:\t" + repr(type(point_data)))
except NameError:
print("Can't find the input file")
else:
print("ERROR: read_ascii_storm.py -> Must specify exactly one input file.")
sys.exit(1)
########################################################################
Running METplus
This use case can be run two ways:
Passing in EnsembleStat_fcstHRRRE_obsHRRRE_Sfc_MultiField.conf then a user-specific system configuration file:
run_metplus.py -c /path/to/METplus/parm/use_cases/model_applications/convection_allowing_models/Point2Grid_obsLSR_ObsOnly_PracticallyPerfect.conf -c /path/to/user_system.conf
Modifying the configurations in parm/metplus_config, then passing in EnsembleStat_fcstHRRRE_obsHRRRE_Sfc_MultiField.conf:
run_metplus.py -c /path/to/METplus/parm/use_cases/model_applications/convection_allowing_models/Point2Grid_obsLSR_ObsOnly_PracticallyPerfect.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 model_applications/convection_allowing_models/practically_perfect/ (relative to OUTPUT_BASE) and will contain the following files:
StormReps_211_Probs.20200205.nc
Keywords
Note
ASCII2NC Point2Grid RegridDataPlane Python Embedding Ingest Regridding in Tool NetCDF Python Embedding ConvectionAllowingModelsAppUseCase, NCAROrgUseCase, ProbabilityGenerationUseCase, MaskingFeatureUseCase HMTOrgUseCase HWTOrgUseCase
Total running time of the script: ( 0 minutes 0.000 seconds)