## Creating Practically Perfect probabilities from SPC LSRs 

[config]
# Final conf file used by all processes
LOG_DIR = {OUTPUT_BASE}/logs
METPLUS_CONF = {TMP_DIR}/metplus_final_Point2Grid_obsLSR_ObsOnly_PracticallyPerfect.conf
LOG_METPLUS = {LOG_DIR}/run_metplus.Point2Grid_LSR.log.{LOG_TIMESTAMP_TEMPLATE}
SCRUB_STAGING_DIR = False

#
LOOP_ORDER = processes

# List of applications to run
PROCESS_LIST = ASCII2NC, Point2Grid, RegridDataPlane 


# if false, loop by VALID time
LOOP_BY = VALID

# Format of VALID_BEG and VALID_END
VALID_TIME_FMT = %Y%m%d%H

# Start and end time for METplus run
VALID_BEG = {ENV[ACCUM_END]}
VALID_END = {ENV[ACCUM_END]}

# Increment between METplus runs in seconds. Must be >= 60
VALID_INCREMENT = 3600

# Info on forecast leads and init to process
LEAD_SEQ = 0


DO_NOT_RUN_EXE = False



# Step 1: ASCII2NC - convert CSV to NetCDF

# 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


ASCII2NC_INPUT_DIR = {ENV[DCOMINspc]}

ASCII2NC_INPUT_TEMPLATE = "{ENV[USHevs]}/cam/read_ascii_storm.py {ASCII2NC_INPUT_DIR}/{ENV[REP_DATE]}/validation_data/weather/spc/spc_reports_{ENV[REP_DATE]}.csv"

ASCII2NC_OUTPUT_DIR = {OUTPUT_BASE}/ascii2nc
ASCII2NC_OUTPUT_TEMPLATE = {ASCII2NC_OUTPUT_DIR}/spc.lsr.{valid?fmt=%Y%m%d%H?shift=-24H}_{valid?fmt=%Y%m%d%H}.nc



# Step 2: POINT2GRID


# 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


POINT2GRID_INPUT_FIELD = Fscale
POINT2GRID_INPUT_LEVEL =

POINT2GRID_QC_FLAGS = 0
POINT2GRID_ADP =

POINT2GRID_REGRID_METHOD = MAX 
POINT2GRID_REGRID_TO_GRID = {ENV[VERIF_GRID]}
POINT2GRID_GAUSSIAN_DX = {ENV[VERIF_GRID_DX]}
POINT2GRID_GAUSSIAN_RADIUS = {ENV[GAUSS_RAD]}
POINT2GRID_PROB_CAT_THRESH =
POINT2GRID_VLD_THRESH =

POINT2GRID_INPUT_DIR = {ASCII2NC_OUTPUT_DIR} 
POINT2GRID_INPUT_TEMPLATE = {ASCII2NC_OUTPUT_TEMPLATE} 

POINT2GRID_OUTPUT_DIR = {OUTPUT_BASE}/point2grid/ 
POINT2GRID_OUTPUT_TEMPLATE = {POINT2GRID_OUTPUT_DIR}/spc.lsr.{valid?fmt=%Y%m%d%H?shift=-24H}_{valid?fmt=%Y%m%d%H}.{ENV[VERIF_GRID]}.nc




# Step 3: RegridDataPlane

OBS_REGRID_DATA_PLANE_RUN = True

REGRID_DATA_PLANE_SKIP_IF_OUTPUT_EXISTS = False

REGRID_DATA_PLANE_ONCE_PER_FIELD = False

REGRID_DATA_PLANE_METHOD = MAXGAUSS
REGRID_DATA_PLANE_WIDTH = 1
REGRID_DATA_PLANE_VERIF_GRID = {ENV[VERIF_GRID]}
REGRID_DATA_PLANE_GAUSSIAN_DX = {ENV[VERIF_GRID_DX]}
REGRID_DATA_PLANE_GAUSSIAN_RADIUS = {ENV[GAUSS_RAD]}


OBS_REGRID_DATA_PLANE_VAR1_INPUT_FIELD_NAME = Fscale_mask
OBS_REGRID_DATA_PLANE_VAR1_INPUT_LEVEL = "(*,*)"

OBS_REGRID_DATA_PLANE_VAR1_OUTPUT_FIELD_NAME = LSR_PPF


OBS_REGRID_DATA_PLANE_INPUT_DIR = {POINT2GRID_OUTPUT_DIR}
OBS_REGRID_DATA_PLANE_INPUT_TEMPLATE = {POINT2GRID_OUTPUT_TEMPLATE} 

OBS_REGRID_DATA_PLANE_OUTPUT_DIR = {OUTPUT_BASE}/practically_perfect/
OBS_REGRID_DATA_PLANE_OUTPUT_TEMPLATE = {POINT2GRID_OUTPUT_DIR}/spc.ppf.{valid?fmt=%Y%m%d%H?shift=-24H}_{valid?fmt=%Y%m%d%H}.{ENV[VERIF_GRID]}.nc