Remove f000 from atmos rocoto tasks for replay cases (NOAA-EMC#2778)

The main purpose of this PR is to remove the f000 from
atmosphere-related rocoto tasks when `REPLAY_ICS` is set to `YES`. In
cases where `REPLAY_ICS` is `YES` and `OFFSET_START_HOUR `is greater
than `0`, it becomes necessary to have the first lead hour set to
`OFFSET_START_HOUR ` for the atmosphere-related rocoto tasks. For
example, when `OFFSET_START_HOUR ` is set to `3`, then the minimum lead
time for the atmos_prod and atmos_ensstat rocoto tasks needs to be 3 and
the minimum lead time for the ocean_prod rocoto task needs to be 6
(assuming `FHOUT_OCN` is 6). This PR makes this rocoto workflow set up
possible by removing 0 from fhrs for atmosphere-related tasks in
`gefs_tasks.py` when replaying.

This PR also moves where f000 is being removed for the ocean_prod and
ice_prod tasks. The if-block that performs this f000 removal has been
moved from `tasks.py` to `gefs_tasks.py` and `gfs_tasks.py`.

---------

Co-authored-by: Rahul Mahajan <[email protected]>

scripts/exglobal_stage_ic.sh

@@ -86,7 +86,7 @@ for MEMDIR in "${MEMDIR_ARRAY[@]}"; do
 
   # Atmosphere Perturbation Files (usually used with replay ICS)
   # Extra zero on MEMDIR ensure we have a number even if the string is empty
-  if (( 0${MEMDIR:3} > 0 )) && [[ "${REPLAY_ICS:-NO}" == "YES" ]]; then
+  if (( $((10#0${MEMDIR:3})) > 0 )) && [[ "${REPLAY_ICS:-NO}" == "YES" ]]; then
       YMD=${PDY} HH=${cyc} declare_from_tmpl COM_ATMOS_ANALYSIS:COM_ATMOS_ANALYSIS_TMPL
       [[ ! -d "${COM_ATMOS_ANALYSIS}" ]] && mkdir -p "${COM_ATMOS_ANALYSIS}"
       src="${BASE_CPLIC}/${CPL_ATMIC:-}/${PDY}${cyc}/${MEMDIR}/atmos/${DTG_PREFIX}.fv3_perturbation.nc"
@@ -130,7 +130,7 @@ for MEMDIR in "${MEMDIR_ARRAY[@]}"; do
 
     # Ocean Perturbation Files
     # Extra zero on MEMDIR ensure we have a number even if the string is empty
-    if (( 0${MEMDIR:3} > 0 )) && [[ "${REPLAY_ICS:-NO}" == "YES" ]]; then
+    if (( $((10#0${MEMDIR:3})) > 0 )) && [[ "${REPLAY_ICS:-NO}" == "YES" ]]; then
         YMD=${PDY} HH=${cyc} declare_from_tmpl COM_OCEAN_ANALYSIS:COM_OCEAN_ANALYSIS_TMPL
         [[ ! -d "${COM_OCEAN_ANALYSIS}" ]] && mkdir -p "${COM_OCEAN_ANALYSIS}"
         src="${BASE_CPLIC}/${CPL_OCNIC:-}/${PDY}${cyc}/${MEMDIR}/ocean/${DTG_PREFIX}.mom6_perturbation.nc"

workflow/rocoto/gefs_tasks.py

@@ -270,6 +270,16 @@ def _atmosoceaniceprod(self, component: str):
                      'maxtries': '&MAXTRIES;'}
 
         fhrs = self._get_forecast_hours('gefs', self._configs[config], component)
+
+        # when replaying, atmos component does not have fhr 0, therefore remove 0 from fhrs
+        is_replay = self._configs[config]['REPLAY_ICS']
+        if is_replay and component in ['atmos'] and 0 in fhrs:
+            fhrs.remove(0)
+
+        # ocean/ice components do not have fhr 0 as they are averaged output
+        if component in ['ocean', 'ice'] and 0 in fhrs:
+            fhrs.remove(0)
+
         fhr_var_dict = {'fhr': ' '.join([f"{fhr:03d}" for fhr in fhrs])}
 
         fhr_metatask_dict = {'task_name': f'{component}_prod_#member#',
@@ -314,6 +324,12 @@ def atmos_ensstat(self):
                      'maxtries': '&MAXTRIES;'}
 
         fhrs = self._get_forecast_hours('gefs', self._configs['atmos_ensstat'])
+
+        # when replaying, atmos component does not have fhr 0, therefore remove 0 from fhrs
+        is_replay = self._configs['atmos_ensstat']['REPLAY_ICS']
+        if is_replay and 0 in fhrs:
+            fhrs.remove(0)
+
         fhr_var_dict = {'fhr': ' '.join([f"{fhr:03d}" for fhr in fhrs])}
 
         fhr_metatask_dict = {'task_name': f'atmos_ensstat',

workflow/rocoto/gfs_tasks.py

@@ -1128,6 +1128,11 @@ def _atmosoceaniceprod(self, component: str):
                      }
 
         fhrs = self._get_forecast_hours(self.cdump, self._configs[config], component)
+
+        # ocean/ice components do not have fhr 0 as they are averaged output
+        if component in ['ocean', 'ice'] and 0 in fhrs:
+            fhrs.remove(0)
+
         fhr_var_dict = {'fhr': ' '.join([f"{fhr:03d}" for fhr in fhrs])}
         metatask_dict = {'task_name': f'{self.cdump}{component}_prod',
                          'task_dict': task_dict,

workflow/rocoto/tasks.py

@@ -158,10 +158,6 @@ def _get_forecast_hours(cdump, config, component='atmos') -> List[str]:
             fhrs_hf = range(fhmin, fhmax_hf + fhout_hf, fhout_hf)
             fhrs = list(fhrs_hf) + list(range(fhrs_hf[-1] + fhout, fhmax + fhout, fhout))
 
-        # ocean/ice components do not have fhr 0 as they are averaged output
-        if component in ['ocean', 'ice'] and 0 in fhrs:
-            fhrs.remove(0)
-
         return fhrs
 
     def get_resource(self, task_name):