diff --git a/docs/appendix/yaml.rst b/docs/appendix/yaml.rst
index 30186d2e..d778f8db 100644
--- a/docs/appendix/yaml.rst
+++ b/docs/appendix/yaml.rst
@@ -323,11 +323,21 @@ data will be used and the domain_name is used only in the plot title. If
domain_type is not equal to all, MELODIES MONET will query all of the data
where domain_type is equal to domain_name.
-**region_name:** multi-box plot only. user specified variable from which the region information
-will be used to plot. if use 'epa+region' then a total of 61 regions can be choose from.
+**region_name:** list of source of regions used in title.
+(e.g., ['epa_region'])
-**region_list:** multi-box plot only. list of regions in the above 'region_name' variable
-user want to plot.
+**region_list:** list of regions we will calculate for scorecard.
+(e.g., ['R1','R2','R3','R4','R5','R6','R7','R8','R9','R10']
+
+**urban_rural_name:** list of only one string input, which is variable used to
+determine wheter urban or rural site. (e.g., ['msa_name'])
+
+**urban_rural_differentiate_value:** string of value used to determine whether
+variable is rural or urban. (e.g., '').
+
+**better_or_worse_method:** string of method used to determine which models
+is better compared to observations. (e.g., 'RMSE', 'IOA' ,' NMB', 'NME'). choose
+one only for each time scorecard code run.
**model_name_list:**
for multi-box plot, list of observation and model names user choose to set as x-labels;
diff --git a/docs/examples/airnow_wrfchem.ipynb b/docs/examples/airnow_wrfchem.ipynb
index 0201f3e1..a3b03b3b 100644
--- a/docs/examples/airnow_wrfchem.ipynb
+++ b/docs/examples/airnow_wrfchem.ipynb
@@ -20,23 +20,8 @@
"cell_type": "code",
"execution_count": 1,
"id": "3d43faf7",
- "metadata": {
- "execution": {
- "iopub.execute_input": "2024-04-05T21:39:23.755908Z",
- "iopub.status.busy": "2024-04-05T21:39:23.755442Z",
- "iopub.status.idle": "2024-04-05T21:40:02.405577Z",
- "shell.execute_reply": "2024-04-05T21:40:02.403964Z"
- }
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Please install s3fs if retrieving from the Amazon S3 Servers. Otherwise continue with local data\n"
- ]
- }
- ],
+ "metadata": {},
+ "outputs": [],
"source": [
"from melodies_monet import driver"
]
@@ -59,14 +44,7 @@
"cell_type": "code",
"execution_count": 2,
"id": "7530b948",
- "metadata": {
- "execution": {
- "iopub.execute_input": "2024-04-05T21:40:02.414073Z",
- "iopub.status.busy": "2024-04-05T21:40:02.413567Z",
- "iopub.status.idle": "2024-04-05T21:40:02.417031Z",
- "shell.execute_reply": "2024-04-05T21:40:02.416486Z"
- }
- },
+ "metadata": {},
"outputs": [],
"source": [
"an = driver.analysis()"
@@ -85,14 +63,7 @@
"cell_type": "code",
"execution_count": 3,
"id": "dbed05e8",
- "metadata": {
- "execution": {
- "iopub.execute_input": "2024-04-05T21:40:02.419530Z",
- "iopub.status.busy": "2024-04-05T21:40:02.419046Z",
- "iopub.status.idle": "2024-04-05T21:40:02.424951Z",
- "shell.execute_reply": "2024-04-05T21:40:02.424443Z"
- }
- },
+ "metadata": {},
"outputs": [
{
"data": {
@@ -145,12 +116,6 @@
"execution_count": 4,
"id": "367c092f",
"metadata": {
- "execution": {
- "iopub.execute_input": "2024-04-05T21:40:02.429309Z",
- "iopub.status.busy": "2024-04-05T21:40:02.429053Z",
- "iopub.status.idle": "2024-04-05T21:40:02.508350Z",
- "shell.execute_reply": "2024-04-05T21:40:02.507717Z"
- },
"tags": [
"hide-output"
]
@@ -237,7 +202,29 @@
" 'domain_name': ['CONUS'],\n",
" 'data': ['airnow_RACM_ESRL', 'airnow_RACM_ESRL_VCP'],\n",
" 'data_proc': {'rem_obs_nan': True, 'set_axis': False}},\n",
- " 'plot_grp6': {'type': 'multi_boxplot',\n",
+ " 'plot_grp6': {'type': 'scorecard',\n",
+ " 'fig_kwargs': {'figsize': [15, 10]},\n",
+ " 'text_kwargs': {'fontsize': 20.0},\n",
+ " 'domain_type': ['all'],\n",
+ " 'domain_name': ['CONUS'],\n",
+ " 'region_name': ['epa_region'],\n",
+ " 'region_list': ['R1',\n",
+ " 'R2',\n",
+ " 'R3',\n",
+ " 'R4',\n",
+ " 'R5',\n",
+ " 'R6',\n",
+ " 'R7',\n",
+ " 'R8',\n",
+ " 'R9',\n",
+ " 'R10'],\n",
+ " 'urban_rural_name': ['msa_name'],\n",
+ " 'urban_rural_differentiate_value': '',\n",
+ " 'better_or_worse_method': 'NME',\n",
+ " 'model_name_list': ['AirNow', 'RACM_ESRL', 'RACM_ESRL_VCP'],\n",
+ " 'data': ['airnow_RACM_ESRL', 'airnow_RACM_ESRL_VCP'],\n",
+ " 'data_proc': {'rem_obs_nan': True, 'set_axis': False}},\n",
+ " 'plot_grp7': {'type': 'multi_boxplot',\n",
" 'fig_kwargs': {'figsize': [10, 8]},\n",
" 'text_kwargs': {'fontsize': 20.0},\n",
" 'domain_type': ['all'],\n",
@@ -311,14 +298,7 @@
"cell_type": "code",
"execution_count": 5,
"id": "66cff826",
- "metadata": {
- "execution": {
- "iopub.execute_input": "2024-04-05T21:40:02.510767Z",
- "iopub.status.busy": "2024-04-05T21:40:02.510479Z",
- "iopub.status.idle": "2024-04-05T21:40:02.575684Z",
- "shell.execute_reply": "2024-04-05T21:40:02.575090Z"
- }
- },
+ "metadata": {},
"outputs": [
{
"data": {
@@ -381,14 +361,7 @@
"cell_type": "code",
"execution_count": 6,
"id": "9a1ed373",
- "metadata": {
- "execution": {
- "iopub.execute_input": "2024-04-05T21:40:02.578296Z",
- "iopub.status.busy": "2024-04-05T21:40:02.578004Z",
- "iopub.status.idle": "2024-04-05T21:40:04.931160Z",
- "shell.execute_reply": "2024-04-05T21:40:04.930563Z"
- }
- },
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -396,13 +369,7 @@
"text": [
"wrfchem\n",
"example:wrfchem:racm_esrl\n",
- "**** Reading WRF-Chem model output...\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ "**** Reading WRF-Chem model output...\n",
"wrfchem\n",
"example:wrfchem:racm_esrl_vcp\n",
"**** Reading WRF-Chem model output...\n"
@@ -426,14 +393,7 @@
"cell_type": "code",
"execution_count": 7,
"id": "18e908f6",
- "metadata": {
- "execution": {
- "iopub.execute_input": "2024-04-05T21:40:04.937675Z",
- "iopub.status.busy": "2024-04-05T21:40:04.937297Z",
- "iopub.status.idle": "2024-04-05T21:40:04.941429Z",
- "shell.execute_reply": "2024-04-05T21:40:04.940997Z"
- }
- },
+ "metadata": {},
"outputs": [
{
"data": {
@@ -441,7 +401,7 @@
"{'RACM_ESRL': model(\n",
" model='wrfchem',\n",
" radius_of_influence=12000,\n",
- " mod_kwargs={'mech': 'racm_esrl_vcp', 'surf_only_nc': True, 'var_list': ['PM2_5_DRY', 'o3']},\n",
+ " mod_kwargs={'mech': 'racm_esrl_vcp', 'surf_only_nc': True, 'var_list': ['o3', 'PM2_5_DRY']},\n",
" file_str='example:wrfchem:racm_esrl',\n",
" label='RACM_ESRL',\n",
" obj=...,\n",
@@ -452,7 +412,7 @@
" 'RACM_ESRL_VCP': model(\n",
" model='wrfchem',\n",
" radius_of_influence=12000,\n",
- " mod_kwargs={'mech': 'racm_esrl_vcp', 'surf_only_nc': True, 'var_list': ['PM2_5_DRY', 'o3']},\n",
+ " mod_kwargs={'mech': 'racm_esrl_vcp', 'surf_only_nc': True, 'var_list': ['o3', 'PM2_5_DRY']},\n",
" file_str='example:wrfchem:racm_esrl_vcp',\n",
" label='RACM_ESRL_VCP',\n",
" obj=...,\n",
@@ -484,14 +444,7 @@
"cell_type": "code",
"execution_count": 8,
"id": "c27a6f8e",
- "metadata": {
- "execution": {
- "iopub.execute_input": "2024-04-05T21:40:04.944108Z",
- "iopub.status.busy": "2024-04-05T21:40:04.943679Z",
- "iopub.status.idle": "2024-04-05T21:40:04.993463Z",
- "shell.execute_reply": "2024-04-05T21:40:04.992942Z"
- }
- },
+ "metadata": {},
"outputs": [
{
"data": {
@@ -867,13 +820,13 @@
" * time (time) datetime64[ns] 2019-09-05 ... 2019-09-06T06:00:00\n",
"Dimensions without coordinates: y, x, z\n",
"Data variables:\n",
- " PM2_5_DRY (time, z, y, x) float32 3.046 3.048 2.84 ... 0.45 0.4506 0.4512\n",
" o3 (time, z, y, x) float32 30.0 30.0 30.0 30.0 ... 34.72 36.87 37.13\n",
+ " PM2_5_DRY (time, z, y, x) float32 3.046 3.048 2.84 ... 0.45 0.4506 0.4512\n",
"Attributes: (12/17)\n",
" FieldType: 104\n",
" MemoryOrder: XYZ\n",
- " description: pm2.5 aerosol dry mass\n",
- " units: ug m^-3\n",
+ " description: O3 mixing ratio\n",
+ " units: ppmv\n",
" stagger: \n",
" coordinates: XLONG XLAT XTIME\n",
" ... ...\n",
@@ -882,7 +835,7 @@
" MAP_PROJ: 1\n",
" CEN_LAT: 39.617638\n",
" CEN_LON: -97.77487\n",
- " mapping_tables_to_airnow: {'OZONE': 'o3', 'PM2.5':...
- FieldType :
- 104
- MemoryOrder :
- XYZ
- description :
- O3 mixing ratio
- units :
- ppmv
- stagger :
- coordinates :
- XLONG XLAT XTIME
- QuantizeBitGroomRoundNumberOfSignificantDigits :
- 6
- cell_methods :
- Time: mean
- projection :
- LambertConformal(stand_lon=-97.0, moad_cen_lat=39.617637634277344, truelat1=33.0, truelat2=45.0, pole_lat=90.0, pole_lon=0.0)
- TRUELAT1 :
- 33.0
- TRUELAT2 :
- 45.0
- MOAD_CEN_LAT :
- 39.617638
- STAND_LON :
- -97.0
- MAP_PROJ :
- 1
- CEN_LAT :
- 39.617638
- CEN_LON :
- -97.77487
- mapping_tables_to_airnow :
- {'OZONE': 'o3', 'PM2.5': 'PM2_5_DRY', 'PM10': 'PM10', 'CO': 'co', 'SO2': 'so2', 'NO': 'no', 'NO2': 'no2'}
"
],
"text/plain": [
"\n",
@@ -1028,13 +981,13 @@
" * time (time) datetime64[ns] 2019-09-05 ... 2019-09-06T06:00:00\n",
"Dimensions without coordinates: y, x, z\n",
"Data variables:\n",
- " PM2_5_DRY (time, z, y, x) float32 3.046 3.048 2.84 ... 0.45 0.4506 0.4512\n",
" o3 (time, z, y, x) float32 30.0 30.0 30.0 30.0 ... 34.72 36.87 37.13\n",
+ " PM2_5_DRY (time, z, y, x) float32 3.046 3.048 2.84 ... 0.45 0.4506 0.4512\n",
"Attributes: (12/17)\n",
" FieldType: 104\n",
" MemoryOrder: XYZ\n",
- " description: pm2.5 aerosol dry mass\n",
- " units: ug m^-3\n",
+ " description: O3 mixing ratio\n",
+ " units: ppmv\n",
" stagger: \n",
" coordinates: XLONG XLAT XTIME\n",
" ... ...\n",
@@ -1081,14 +1034,7 @@
"cell_type": "code",
"execution_count": 9,
"id": "65671ca7",
- "metadata": {
- "execution": {
- "iopub.execute_input": "2024-04-05T21:40:04.997792Z",
- "iopub.status.busy": "2024-04-05T21:40:04.997221Z",
- "iopub.status.idle": "2024-04-05T21:40:06.210179Z",
- "shell.execute_reply": "2024-04-05T21:40:06.208503Z"
- }
- },
+ "metadata": {},
"outputs": [],
"source": [
"an.open_obs()"
@@ -1098,14 +1044,7 @@
"cell_type": "code",
"execution_count": 10,
"id": "7019773e",
- "metadata": {
- "execution": {
- "iopub.execute_input": "2024-04-05T21:40:06.217483Z",
- "iopub.status.busy": "2024-04-05T21:40:06.217079Z",
- "iopub.status.idle": "2024-04-05T21:40:06.223328Z",
- "shell.execute_reply": "2024-04-05T21:40:06.222637Z"
- }
- },
+ "metadata": {},
"outputs": [
{
"data": {
@@ -1135,14 +1074,7 @@
"cell_type": "code",
"execution_count": 11,
"id": "938e3b7a",
- "metadata": {
- "execution": {
- "iopub.execute_input": "2024-04-05T21:40:06.230572Z",
- "iopub.status.busy": "2024-04-05T21:40:06.230283Z",
- "iopub.status.idle": "2024-04-05T21:40:06.252088Z",
- "shell.execute_reply": "2024-04-05T21:40:06.251435Z"
- }
- },
+ "metadata": {},
"outputs": [
{
"data": {
@@ -1517,7 +1449,7 @@
" * time (time) datetime64[ns] 2019-09-01 ... 2019-09-30T00:30:00\n",
" latitude (y, x) float64 ...\n",
" longitude (y, x) float64 ...\n",
- " siteid (y, x) object ...\n",
+ " siteid (y, x) <U12 ...\n",
"Dimensions without coordinates: y\n",
"Data variables: (12/30)\n",
" BARPR (time, y, x) float64 ...\n",
@@ -1529,17 +1461,17 @@
" ... ...\n",
" cmsa_name (y, x) float64 ...\n",
" msa_code (y, x) float64 ...\n",
- " msa_name (y, x) object ...\n",
- " state_name (y, x) object ...\n",
- " epa_region (y, x) object ...\n",
+ " msa_name (y, x) <U52 ...\n",
+ " state_name (y, x) <U2 ...\n",
+ " epa_region (y, x) <U5 ...\n",
" time_local (time, y, x) datetime64[ns] ...\n",
"Attributes:\n",
" title: \n",
" format: NetCDF-4\n",
- " date_created: 2021-06-07- title :
- format :
- NetCDF-4
- date_created :
- 2021-06-07
"
],
"text/plain": [
"\n",
@@ -1599,7 +1531,7 @@
" * time (time) datetime64[ns] 2019-09-01 ... 2019-09-30T00:30:00\n",
" latitude (y, x) float64 ...\n",
" longitude (y, x) float64 ...\n",
- " siteid (y, x) object ...\n",
+ " siteid (y, x) "
]
@@ -2133,7 +1906,7 @@
},
{
"data": {
- "image/png": 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",
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