BUFR2IODA python API converters for marine monthly in situ BUFR

parm/ioda/bufr2ioda/bufr2ioda_bathythermal_profiles.json

@@ -0,0 +1,12 @@
+{
+  "data_format"      : "bathy",
+  "subsets"          : "BATHY",
+  "source"           : "NCEP data tank",
+  "data_type"        : "bathy",
+  "cycle_type"       : "{{ RUN }}",
+  "cycle_datetime"   : "{{ current_cycle | to_YMDH }}",
+  "dump_directory"   : "{{ DMPDIR }}",
+  "ioda_directory"   : "{{ COM_OBS }}",
+  "data_description" : "6-hrly in situ Bathythermal profiles",
+  "data_provider"    : "U.S. NOAA"
+}

parm/ioda/bufr2ioda/bufr2ioda_subpfl_argo_profiles.json

@@ -7,6 +7,6 @@
   "cycle_datetime"   : "{{ current_cycle | to_YMDH }}",
   "dump_directory"   : "{{ DMPDIR }}",
   "ioda_directory"   : "{{ COM_OBS }}",
-  "data_description" : "6-hourly in situ ARGO profiles",
+  "data_description" : "6-hrly in situ ARGO profiles",
   "data_provider"    : "U.S. NOAA"
 }

parm/ioda/bufr2ioda/bufr2ioda_subpfl_glider_profiles.json

@@ -0,0 +1,12 @@
+{
+  "data_format"      : "subpfl",
+  "subsets"          : "SUBPFL",
+  "source"           : "NCEP data tank",
+  "data_type"        : "glider",
+  "cycle_type"       : "{{ RUN }}",
+  "cycle_datetime"   : "{{ current_cycle | to_YMDH }}",
+  "dump_directory"   : "{{ DMPDIR }}",
+  "ioda_directory"   : "{{ COM_OBS }}",
+  "data_description" : "6-hrly in situ GLIDER profiles",
+  "data_provider"    : "U.S. NOAA"
+}

parm/ioda/bufr2ioda/bufr2ioda_tesac_mammals_profiles.json

@@ -0,0 +1,12 @@
+{
+  "data_format"      : "tesac",
+  "subsets"          : "TESAC",
+  "source"           : "NCEP data tank",
+  "data_type"        : "mammals",
+  "cycle_type"       : "{{ RUN }}",
+  "cycle_datetime"   : "{{ current_cycle | to_YMDH }}",
+  "dump_directory"   : "{{ DMPDIR }}",
+  "ioda_directory"   : "{{ COM_OBS }}",
+  "data_description" : "6-hrly in situ marine mammals from TESAC profiles",
+  "data_provider"    : "U.S. NOAA"
+}

parm/ioda/bufr2ioda/bufr2ioda_tesac_profiles.json

@@ -0,0 +1,12 @@
+{
+  "data_format"      : "tesac",
+  "subsets"          : "TESAC",
+  "source"           : "NCEP data tank",
+  "data_type"        : "tesac",
+  "cycle_type"       : "{{ RUN }}",
+  "cycle_datetime"   : "{{ current_cycle | to_YMDH }}",
+  "dump_directory"   : "{{ DMPDIR }}",
+  "ioda_directory"   : "{{ COM_OBS }}",
+  "data_description" : "6-hrly in situ TESAC profiles",
+  "data_provider"    : "U.S. NOAA"
+}

parm/ioda/bufr2ioda/bufr2ioda_trackob_surface.json

@@ -0,0 +1,12 @@
+{
+  "data_format"      : "trkob",
+  "subsets"          : "TRACKOB",
+  "source"           : "NCEP data tank",
+  "data_type"        : "trackob",
+  "cycle_type"       : "{{ RUN }}",
+  "cycle_datetime"   : "{{ current_cycle | to_YMDH }}",
+  "dump_directory"   : "{{ DMPDIR }}",
+  "ioda_directory"   : "{{ COM_OBS }}",
+  "data_description" : "6-hrly in situ TRACKOB surface",
+  "data_provider"    : "U.S. NOAA"
+}

parm/ioda/bufr2ioda/bufr2ioda_xbtctd_profiles.json

@@ -0,0 +1,12 @@
+{
+  "data_format"      : "xbtctd",
+  "subsets"          : "XBTCTD",
+  "source"           : "NCEP data tank",
+  "data_type"        : "xbtctd",
+  "cycle_type"       : "{{ RUN }}",
+  "cycle_datetime"   : "{{ current_cycle | to_YMDH }}",
+  "dump_directory"   : "{{ DMPDIR }}",
+  "ioda_directory"   : "{{ COM_OBS }}",
+  "data_description" : "6-hrly in situ XBT/XCTD profiles",
+  "data_provider"    : "U.S. NOAA"
+}

ush/ioda/bufr2ioda/bufr2ioda_altkob_surface.py

@@ -0,0 +1,295 @@
+#!/usr/bin/env python3
+# (C) Copyright 2023 NOAA/NWS/NCEP/EMC
+#
+# This software is licensed under the terms of the Apache Licence Version 2.0
+# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
+
+import sys
+sys.path.append('/work2/noaa/da/spaturi/sandbox/CDA_testbed/global-workflow/sorc/gdas.cd/build/lib/python3.7/')
+sys.path.append('/work2/noaa/da/spaturi/sandbox/CDA_testbed/global-workflow/sorc/gdas.cd/build/lib/python3.7/pyiodaconv/')
+sys.path.append('/work2/noaa/da/spaturi/sandbox/CDA_testbed/global-workflow/sorc/gdas.cd/build/lib/python3.7/pyioda/')
+
+import numpy as np
+import numpy.ma as ma
+import os
+import argparse
+import math
+import calendar
+import time
+import copy
+from datetime import datetime
+import json
+from pyiodaconv import bufr
+from collections import namedtuple
+from pyioda import ioda_obs_space as ioda_ospace
+from wxflow import Logger
+
+def Compute_sequenceNumber(lon):
+    lon_u, seqNum = np.unique(lon, return_inverse=True)
+    seqNum = seqNum.astype(np.int64)
+    logger.debug(f"Len of Sequence Number: {len(seqNum)}")
+
+    return seqNum
+
+def bufr_to_ioda(config, logger):
+
+    subsets = config["subsets"]
+    logger.debug(f"Checking subsets = {subsets}")
+
+    # Get parameters from configuration
+    data_format = config["data_format"]
+    source = config["source"]
+    data_type = config["data_type"]
+    data_description = config["data_description"]
+    data_provider = config["data_provider"]
+    cycle_type = config["cycle_type"]
+    cycle_datetime = config["cycle_datetime"]
+    dump_dir = config["dump_directory"]
+    ioda_dir = config["ioda_directory"]
+    cycle = config["cycle_datetime"]
+
+    yyyymmdd = cycle[0:8]
+    hh = cycle[8:10]
+
+    # General Information
+    converter = 'BUFR to IODA Converter'    
+    platform_description = 'Surface obs from ALTKOB: temperature and salinity'
+
+    bufrfile = f"{cycle_type}.t{hh}z.{data_format}.tm{hh}.bufr_d"
+    DATA_PATH = os.path.join(dump_dir, f"{cycle_type}.{yyyymmdd}", str(hh), f"atmos",
+                             bufrfile)
+    logger.debug(f"{bufrfile}, {DATA_PATH}")
+    #print(platform_description)
+
+    #===========================================
+    # Make the QuerySet for all the data we want
+    #===========================================
+    start_time = time.time()
+
+    logger.debug(f"Making QuerySet ...")
+    q = bufr.QuerySet() #(subsets)
+
+    # MetaData
+    q.add('year',            '*/YEAR')
+    q.add('month',           '*/MNTH')
+    q.add('day',             '*/DAYS')
+    q.add('hour',            '*/HOUR')
+    q.add('minute',          '*/MINU')
+    q.add('ryear',           '*/RCYR')
+    q.add('rmonth',          '*/RCMO')
+    q.add('rday',            '*/RCDY')
+    q.add('rhour',           '*/RCHR')
+    q.add('rminute',         '*/RCMI')
+    q.add('latitude',        '*/CLATH')
+    q.add('longitude',       '*/CLONH')
+
+    # ObsValue
+    q.add('temp',            '*/SST0')
+    q.add('saln',            '*/SSS0')
+
+    end_time = time.time()
+    running_time = end_time - start_time
+    logger.debug(f"Running time for making QuerySet: {running_time} seconds")
+
+    #===============================================================
+    # Open the BUFR file and execute the QuerySet
+    # Use the ResultSet returned to get numpy arrays of the data
+    # ==============================================================
+
+    logger.debug(f"Executing QuerySet to get ResultSet ...")
+    with bufr.File(DATA_PATH) as f:
+        r = f.execute(q)
+
+    # MetaData
+    logger.debug(f" ... Executing QuerySet: get MetaData ...")
+    dateTime     = r.get_datetime('year', 'month', 'day', 'hour', 'minute',group_by='depth')
+    dateTime     = dateTime.astype(np.int64)
+    rcptdateTime = r.get_datetime('ryear', 'rmonth', 'rday', 'rhour', 'rminute',group_by='depth')
+    rcptdateTime = rcptdateTime.astype(np.int64)
+    lat          = r.get('latitude',group_by='depth')
+    lon          = r.get('longitude',group_by='depth')
+
+    # ObsValue
+    logger.debug(f" ... Executing QuerySet: get ObsValue ...")
+    temp      = r.get('temp',group_by='depth')
+    temp -= 273.15
+    saln      = r.get('saln',group_by='depth')
+
+    #    print ("masking temp & saln ...")
+    mask = ((temp > -10.0) & (temp <= 50.0)) & ((saln >= 0.0) & (saln <= 45.0))
+    lat          = lat[mask]
+    lon          = lon[mask]
+    dateTime     = dateTime[mask] 
+    rcptdateTime = rcptdateTime[mask]
+    temp         = temp[mask]
+    saln         = saln[mask]
+
+    # ObsError
+    logger.debug(f"Generating ObsError array with constant value (instrument error)...") 
+    ObsError_temp = np.float32( np.ma.masked_array(np.full((len(mask)), 0.30)) )
+    ObsError_saln = np.float32( np.ma.masked_array(np.full((len(mask)), 1.00)) )
+
+    # PreQC
+    logger.debug(f"Generating PreQC array with 0...")    
+    PreQC         = ( np.ma.masked_array(np.full((len(mask)), 0)) ).astype(np.int32)
+
+    logger.debug(f" ... Executing QuerySet: Done!")
+
+    logger.debug(f" ... Executing QuerySet: Check BUFR variable generic \
+                dimension and type ...")
+#    #================================
+#    # Check values of BUFR variables, dimension and type
+#    #================================
+
+    logger.debug(f" temp          min, max, length, dtype = {temp.min()}, {temp.max()}, {len(temp)}, {temp.dtype}")
+    logger.debug(f" saln          min, max, length, dtype = {saln.min()}, {saln.max()}, {len(saln)}, {saln.dtype}")
+    logger.debug(f" lon           min, max, length, dtype = {lon.min()}, {lon.max()}, {len(lon)}, {lon.dtype}")
+    logger.debug(f" lat           min, max, length, dtype = {lat.min()}, {lat.max()}, {len(lat)}, {lat.dtype}")
+    logger.debug(f" depth         min, max, length, dtype = {depth.min()}, {depth.max()}, {len(depth)}, {depth.dtype}")
+    logger.debug(f" PreQC         min, max, length, dtype = {PreQC.min()}, {PreQC.max()}, {len(PreQC)}, {PreQC.dtype}")
+    logger.debug(f" ObsError_temp min, max, length, dtype = {ObsError_temp.min()}, {ObsError_temp.max()}, {len(ObsError_temp)}, {ObsError_temp.dtype}")
+    logger.debug(f" ObsError_saln min, max, length, dtype = {ObsError_saln.min()}, {ObsError_saln.max()}, {len(ObsError_saln)}, {ObsError_saln.dtype}")
+
+    logger.debug(f" stationID                shape, dtype = {stationID.shape}, {stationID.astype(str).dtype}")    
+    logger.debug(f" dateTime                 shape, dtype = {dateTime.shape}, {dateTime.dtype}")
+    logger.debug(f" rcptdateTime             shape, dytpe = {rcptdateTime.shape}, {rcptdateTime.dtype}")
+#    logger.debug(f" sequence Num             shape, dtype = {seqNum.shape}, {seqNum.dtype}")
+
+    # =====================================
+    # Create IODA ObsSpace
+    # Write IODA output
+    # =====================================
+
+    # Create the dimensions
+    dims = {'Location': np.arange(0, lat.shape[0])}
+
+    iodafile = f"{cycle_type}.t{hh}z.{data_type}_profiles.{data_format}.nc"
+    OUTPUT_PATH = os.path.join(ioda_dir, iodafile)
+    logger.debug(f" ... ... Create OUTPUT file: {OUTPUT_PATH}")
+
+    path, fname = os.path.split(OUTPUT_PATH)
+    if path and not os.path.exists(path):
+        os.makedirs(path)
+
+#    logger.debug(f" ... ... Create output file ...', OUTPUT_PATH)
+    obsspace = ioda_ospace.ObsSpace(OUTPUT_PATH, mode='w', dim_dict=dims)
+
+    # Create Global attributes
+    logger.debug(f" ... ... Create global attributes")
+    obsspace.write_attr('Converter', converter)
+    obsspace.write_attr('source', source)
+    obsspace.write_attr('sourceFiles', bufrfile)
+    obsspace.write_attr('dataProviderOrigin', data_provider)
+    obsspace.write_attr('description', data_description)
+    #obsspace.write_attr('datetimeReference', reference_time)
+    obsspace.write_attr('datetimeRange', [str(dateTime.min()),
+                        str(dateTime.max())])
+    obsspace.write_attr('platformLongDescription', platform_description)
+#    obsspace.write_attr('platforms', PLATFORM + ': temperature and salinity')
+#    obsspace.write_attr('datetimeReference', date)
+#    obsspace.write_attr('dataProviderOrigin', 'GTS/NCEP data tank')
+#    obsspace.write_attr('description', '24-hrly from 6-hourly dumps')
+#
+     # Create IODA variables
+    logger.debug(f" ... ... Create variables: name, type, units, and attributes")
+
+    # Datetime
+    obsspace.create_var('MetaData/dateTime',  dtype=dateTime.dtype, fillval=dateTime.fill_value) \
+        .write_attr('units', 'seconds since 1970-01-01T00:00:00Z') \
+        .write_attr('long_name', 'Datetime') \
+        .write_data(dateTime)
+
+    # rcptDatetime
+    obsspace.create_var('MetaData/rcptdateTime',  dtype=dateTime.dtype, fillval=dateTime.fill_value) \
+        .write_attr('units', 'seconds since 1970-01-01T00:00:00Z') \
+        .write_attr('long_name', 'receipt Datetime') \
+        .write_data(rcptdateTime)
+
+    # Longitude
+    obsspace.create_var('MetaData/longitude', dtype=lon.dtype, fillval=lon.fill_value) \
+        .write_attr('units', 'degrees_east') \
+        .write_attr('valid_range', np.array([-180, 180], dtype=np.float32)) \
+        .write_attr('long_name', 'Longitude') \
+        .write_data(lon)
+
+    # Latitude 
+    obsspace.create_var('MetaData/latitude', dtype=lat.dtype, fillval=lat.fill_value) \
+        .write_attr('units', 'degrees_north') \
+        .write_attr('valid_range', np.array([-90, 90], dtype=np.float32)) \
+        .write_attr('long_name', 'Latitude') \
+        .write_data(lat)
+
+    # Station Identification
+    obsspace.create_var('MetaData/stationID',  dtype=stationID.dtype, fillval=stationID.fill_value) \
+        .write_attr('long_name', 'Station Identification') \
+        .write_data(stationID)
+
+#    # Depth
+#    obsspace.create_var('MetaData/depth',  dtype=depth.dtype, fillval=depth.fill_value) \
+#        .write_attr('units', 'm') \
+#        .write_attr('long_name', 'Water depth') \
+#        .write_data(depth)
+
+ #   # Sequence Number
+ #   obsspace.create_var('MetaData/sequenceNumber',  dtype=PreQC.dtype, fillval=PreQC.fill_value) \
+ #       .write_attr('long_name', 'Sequence Number') \
+ #       .write_data(seqNum)
+
+    # PreQC 
+    obsspace.create_var('PreQC/seaSurfaceTemperature', dtype=PreQC.dtype, fillval=PreQC.fill_value) \
+        .write_attr('long_name', 'PreQC') \
+        .write_data(PreQC)
+
+    obsspace.create_var('PreQC/seaSurfaceSalinity', dtype=PreQC.dtype, fillval=PreQC.fill_value) \
+        .write_attr('long_name', 'PreQC') \
+        .write_data(PreQC)
+
+    # ObsError 
+    obsspace.create_var('ObsError/seaSurfaceTemperature', dtype=ObsError_temp.dtype, fillval=ObsError_temp.fill_value) \
+        .write_attr('units', 'degC') \
+        .write_attr('long_name', 'ObsError') \
+        .write_data(ObsError_temp)
+
+    obsspace.create_var('ObsError/seaSurfaceSalinity', dtype=ObsError_saln.dtype, fillval=ObsError_saln.fill_value) \
+        .write_attr('units', 'psu') \
+        .write_attr('long_name', 'ObsError') \
+        .write_data(ObsError_saln)
+
+    # ObsValue
+    obsspace.create_var('ObsValue/seaSurfaceTemperature', dtype=temp.dtype, fillval=temp.fill_value) \
+        .write_attr('units', 'degC') \
+        .write_attr('valid_range', np.array([-10.0, 50.0], dtype=np.float32)) \
+        .write_attr('long_name', 'Sea Surface Temperature') \
+        .write_data(temp)
+
+    obsspace.create_var('ObsValue/seaSurfaceSalinity', dtype=saln.dtype, fillval=saln.fill_value) \
+        .write_attr('units', 'psu') \
+        .write_attr('valid_range', np.array([0.0, 45.0], dtype=np.float32)) \
+        .write_attr('long_name', 'Sea Surface Salinity') \
+        .write_data(saln)
+
+    end_time = time.time()
+    running_time = end_time - start_time
+    logger.debug(f"Running time for splitting and output IODA: {running_time} \
+                 seconds")
+
+    logger.debug(f"All Done!")
+
+if __name__ == '__main__':
+
+    start_time = time.time()
+    config = "bufr2ioda_trackob_surface.json"
+
+    log_level = 'DEBUG' #if args.verbose else 'INFO'
+    logger = Logger('bufr2ioda_trackob_surface.py', level=log_level,
+                    colored_log=True)
+
+    with open(config, "r") as json_file:
+        config = json.load(json_file)
+
+    bufr_to_ioda(config, logger)
+
+    end_time = time.time()
+    running_time = end_time - start_time
+    logger.debug(f"Total running time: {running_time} seconds")    
+