Web monitoring figures for GSI brightness temperature errors and replay file counts and increments

.gitignore

@@ -2,4 +2,4 @@
 __pycache__
 .DS_Store
 .vscode/
-.png
+*.png

MANIFEST.in

@@ -0,0 +1 @@
+include src/score_plotting/style_lib/*.mplstyle

batch_scripts/plot_gsi_radiance_fit_to_obs.sbatch

@@ -0,0 +1,18 @@
+#!/bin/bash
+#SBATCH --job-name=gsi_radiance_plots      # Name of the job
+#SBATCH --output=plot_gsi%j.log     # Output log file with job ID
+#SBATCH --ntasks=16
+#SBATCH --ntasks-per-node=16           # Number of tasks (CPUs) per node
+#SBATCH --cpus-per-task=2
+#SBATCH --nodes=1                      # Number of nodes (adjust based on your requirements)
+#SBATCH --time=12:00:00                # Max wall time (adjust as needed)
+#SBATCH --partition=bigmem #batch              # Partition to use
+#SBATCH --mail-type=ALL                # Send an email when the job starts, ends, or fails
+#SBATCH [email protected]  # Email address for notifications
+
+source $HOME/.bash_profile
+micromamba activate darr_score_sqlalchemy1_dev_env
+#which mpirun
+# Run the MPI Python script using mpiexec
+timeout 21600 mpiexec python -m score_plotting.core_scripts.plot_gsi_radiance_fit_to_obs /media/darr/results/figures/brightness_temperature_error_timeseries
+

batch_scripts/plot_gsi_radiance_fit_to_obs_daily_update.sbatch

@@ -0,0 +1,18 @@
+#!/bin/bash
+#SBATCH --job-name=gsi_radiance_plots_daily_update      # Name of the job
+#SBATCH --output=plot_gsi%j.log     # Output log file with job ID
+#SBATCH --ntasks=12
+#SBATCH --ntasks-per-node=12           # Number of tasks (CPUs) per node
+#SBATCH --cpus-per-task=2
+#SBATCH --nodes=1                      # Number of nodes (adjust based on your requirements)
+#SBATCH --time=6:00:00                # Max wall time (adjust as needed)
+#SBATCH --partition=medmem #batch              # Partition to use
+#SBATCH --mail-type=ALL                # Send an email when the job starts, ends, or fails
+#SBATCH [email protected]  # Email address for notifications
+
+source $HOME/.bash_profile
+micromamba activate darr_score_sqlalchemy1_dev_env
+#which mpirun
+# Run the MPI Python script using mpiexec
+mpiexec python -m score_plotting.core_scripts.plot_gsi_radiance_fit_to_obs_daily_update /media/darr/results/figures/brightness_temperature_error_timeseries
+

batch_scripts/plot_gsi_radiance_fit_to_obs_rod_overlap.sbatch

@@ -0,0 +1,17 @@
+#!/bin/bash
+#SBATCH --job-name=gsi_radiance_plots      # Name of the job
+#SBATCH --output=plot_gsi%j.log     # Output log file with job ID
+#SBATCH --ntasks=16
+#SBATCH --ntasks-per-node=16           # Number of tasks (CPUs) per node
+#SBATCH --cpus-per-task=2
+#SBATCH --nodes=1                      # Number of nodes (adjust based on your requirements)
+#SBATCH --time=48:00:00                # Max wall time (adjust as needed)
+#SBATCH --partition=bigmem #batch              # Partition to use
+#SBATCH --mail-type=ALL                # Send an email when the job starts, ends, or fails
+#SBATCH [email protected]  # Email address for notifications
+
+source $HOME/.bash_profile
+micromamba activate darr_score_sqlalchemy1_dev_env
+#which mpiexec
+# Run the MPI Python script using mpiexec
+mpiexec python -m score_plotting.core_scripts.plot_gsi_radiance_fit_to_obs_rod_overlap.py /media/darr/results/figures/brightness_temperature_error_timeseries_rod_overlap

batch_scripts/plot_gsi_radiance_fit_to_obs_rod_overlap_daily_update.sbatch

@@ -0,0 +1,17 @@
+#!/bin/bash
+#SBATCH --job-name=gsi_radiance_plots_daily_update      # Name of the job
+#SBATCH --output=plot_gsi%j.log     # Output log file with job ID
+#SBATCH --ntasks=12
+#SBATCH --ntasks-per-node=12           # Number of tasks (CPUs) per node
+#SBATCH --cpus-per-task=2
+#SBATCH --nodes=1                      # Number of nodes (adjust based on your requirements)
+#SBATCH --time=6:00:00                # Max wall time (adjust as needed)
+#SBATCH --partition=medmem #batch              # Partition to use
+#SBATCH --mail-type=ALL                # Send an email when the job starts, ends, or fails
+#SBATCH [email protected]  # Email address for notifications
+
+source $HOME/.bash_profile 
+micromamba activate darr_score_sqlalchemy1_dev_env
+#which mpiexec
+# Run the MPI Python script using mpiexec
+mpiexec python -m score_plotting.core_scripts.plot_gsi_radiance_fit_to_obs_rod_overlap_daily_update /media/darr/results/figures/brightness_temperature_error_timeseries_rod_overlap

batch_scripts/plot_gsi_radiance_fit_to_obs_serial.sbatch

@@ -0,0 +1,30 @@
+#!/bin/bash
+#SBATCH --job-name=gsi_radiance_plots      # Name of the job
+#SBATCH --output=plot_gsi%j.log     # Output log file with job ID
+#SBATCH --ntasks=16
+#SBATCH --ntasks-per-node=16           # Number of tasks (CPUs) per node
+#SBATCH --cpus-per-task=2
+#SBATCH --nodes=1                      # Number of nodes (adjust based on your requirements)
+#SBATCH --time=12:00:00                # Max wall time (adjust as needed)
+#SBATCH --partition=bigmem #batch              # Partition to use
+#SBATCH --mail-type=ALL                # Send an email when the job starts, ends, or fails
+#SBATCH [email protected]  # Email address for notifications
+
+source $HOME/.bash_profile
+micromamba activate darr_score_sqlalchemy1_dev_env
+#which mpirun
+# Run the MPI Python script using mpiexec
+timeout 3600 mpiexec python -m score_plotting.core_scripts.plot_gsi_radiance_fit_to_obs --sensor msu /media/darr/results/figures/brightness_temperature_error_timeseries
+timeout 3600 mpiexec python -m score_plotting.core_scripts.plot_gsi_radiance_fit_to_obs --sensor gmi /media/darr/results/figures/brightness_temperature_error_timeseries
+timeout 3600 mpiexec python -m score_plotting.core_scripts.plot_gsi_radiance_fit_to_obs --sensor mhs /media/darr/results/figures/brightness_temperature_error_timeseries
+timeout 3600 mpiexec python -m score_plotting.core_scripts.plot_gsi_radiance_fit_to_obs --sensor saphir /media/darr/results/figures/brightness_temperature_error_timeseries
+timeout 3600 mpiexec python -m score_plotting.core_scripts.plot_gsi_radiance_fit_to_obs --sensor sndr /media/darr/results/figures/brightness_temperature_error_timeseries
+timeout 3600 mpiexec python -m score_plotting.core_scripts.plot_gsi_radiance_fit_to_obs --sensor sndrD1 /media/darr/results/figures/brightness_temperature_error_timeseries
+timeout 3600 mpiexec python -m score_plotting.core_scripts.plot_gsi_radiance_fit_to_obs --sensor sndrD2 /media/darr/results/figures/brightness_temperature_error_timeseries
+timeout 3600 mpiexec python -m score_plotting.core_scripts.plot_gsi_radiance_fit_to_obs --sensor sndrD3 /media/darr/results/figures/brightness_temperature_error_timeseries
+timeout 3600 mpiexec python -m score_plotting.core_scripts.plot_gsi_radiance_fit_to_obs --sensor sndrD4 /media/darr/results/figures/brightness_temperature_error_timeseries
+timeout 3600 mpiexec python -m score_plotting.core_scripts.plot_gsi_radiance_fit_to_obs --sensor avhrr2 /media/darr/results/figures/brightness_temperature_error_timeseries
+timeout 3600 mpiexec python -m score_plotting.core_scripts.plot_gsi_radiance_fit_to_obs --sensor amsre /media/darr/results/figures/brightness_temperature_error_timeseries
+timeout 3600 mpiexec python -m score_plotting.core_scripts.plot_gsi_radiance_fit_to_obs --sensor amsr2 /media/darr/results/figures/brightness_temperature_error_timeseries
+timeout 3600 mpiexec python -m score_plotting.core_scripts.plot_gsi_radiance_fit_to_obs --sensor tmi /media/darr/results/figures/brightness_temperature_error_timeseries
+

batch_scripts/plot_gsi_radiance_fit_to_obs_weakly_coupled_scout.sbatch

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+#!/bin/bash
+#SBATCH --job-name=gsi_radiance_plots      # Name of the job
+#SBATCH --output=plot_gsi%j.log     # Output log file with job ID
+#SBATCH --ntasks=16
+#SBATCH --ntasks-per-node=16           # Number of tasks (CPUs) per node
+#SBATCH --cpus-per-task=2
+#SBATCH --nodes=1                      # Number of nodes (adjust based on your requirements)
+#SBATCH --time=12:00:00                # Max wall time (adjust as needed)
+#SBATCH --partition=batch              # Partition to use
+#SBATCH --mail-type=ALL                # Send an email when the job starts, ends, or fails
+#SBATCH [email protected]  # Email address for notifications
+
+source $HOME/.bash_profile
+micromamba activate darr_score_sqlalchemy1_dev_env
+#which mpiexec
+# Run the MPI Python script using mpiexec
+mpiexec python -m score_plotting.core_scripts.plot_gsi_radiance_fit_to_obs_weakly_coupled_scout /media/darr/results/figures/brightness_temperature_error_timeseries_weakly_coupled_scout

src/score_plotting/attrs/file_counts_plot_attrs.py

@@ -12,7 +12,7 @@
 
 AxesLabel = namedtuple('AxesLabel', ['axis', 'label', 'horizontalalignment'])
 
-DEFAULT_LEGEND_ATTRS = LegendData(loc='upper left', fancybox=None, 
+DEFAULT_LEGEND_ATTRS = LegendData(loc='upper right', fancybox=None, 
                                   edgecolor=None, framealpha=None, shadow=None,
                                   fontsize='small', facecolor=None)
 
@@ -30,6 +30,6 @@
                                        xlabel=DEFAULT_XLABEL,
                                        ylabel=AxesLabel(
                                                    axis='y',
-                                                   label='Number of files',
+                                                   label=None,
                                                    horizontalalignment='center'
                                                    ))}

src/score_plotting/attrs/increments_plot_attrs.py

@@ -12,7 +12,7 @@
 
 AxesLabel = namedtuple('AxesLabel', ['axis', 'label', 'horizontalalignment'])
 
-DEFAULT_LEGEND_ATTRS = LegendData(loc='lower left', fancybox=None, 
+DEFAULT_LEGEND_ATTRS = LegendData(loc='upper left', fancybox=None, 
                                   edgecolor=None, framealpha=None, shadow=None,
                                   fontsize='large', facecolor=None)