diff --git a/Tutorials/AAAR-2026-ACT-Tutorial/ACT-Basics-DUSTIEAIM.ipynb b/Tutorials/AAAR-2026-ACT-Tutorial/ACT-Basics-DUSTIEAIM.ipynb
index 406d556e..e59aa774 100644
--- a/Tutorials/AAAR-2026-ACT-Tutorial/ACT-Basics-DUSTIEAIM.ipynb
+++ b/Tutorials/AAAR-2026-ACT-Tutorial/ACT-Basics-DUSTIEAIM.ipynb
@@ -17,6 +17,14 @@
"---"
]
},
+ {
+ "cell_type": "markdown",
+ "id": "aee337ae",
+ "metadata": {},
+ "source": [
+ ""
+ ]
+ },
{
"cell_type": "markdown",
"id": "926d344e",
@@ -101,6 +109,15 @@
" - matplotlib"
]
},
+ {
+ "cell_type": "markdown",
+ "id": "f28dadd0",
+ "metadata": {},
+ "source": [
+ "## AI Disclosure\n",
+ "Claude Code (v2.3.310) and Opus 5 assisted with generating this notebook"
+ ]
+ },
{
"cell_type": "markdown",
"id": "f89921ee-514a-4e11-859a-4858ed7354ab",
@@ -197,7 +214,13 @@
"## Instrument Overview\n",
"\n",
"### Aerodynamic Particle Sizer (APS)\n",
- "The [aerodynamic particle sizer (APS)](https://arm.gov/capabilities/instruments/aps) is a particle size spectrometer that measures both the particle aerodynamic diameter based on particle time of flight and optical diameter based on scattered light intensity. The APS provides the number size distribution for particles with aerodynamic diameters from 0.5 to 20 micrometers and with optical diameters from 0.3 to 20 micrometers.\n"
+ "The [aerodynamic particle sizer (APS)](https://arm.gov/capabilities/instruments/aps) is a particle size spectrometer that measures both the particle aerodynamic diameter based on particle time of flight and optical diameter based on scattered light intensity. The APS provides the number size distribution for particles with aerodynamic diameters from 0.5 to 20 micrometers and with optical diameters from 0.3 to 20 micrometers.\n",
+ "\n",
+ "### Surface Meteorological Instrumentation (MET)\n",
+ "The [surface meteorological instrumentation (MET)](https://arm.gov/capabilities/instruments/met) is a suite of sensors mounted on a 10 m tower that records the basic near-surface state of the atmosphere: temperature, relative humidity, barometric pressure, wind speed and direction from a propeller-vane anemometer, and precipitation from a tipping-bucket rain gauge. These are the variables that put every other measurement in context, and for a dust case they are what tell you whether a particle spike arrived with a gust front.\n",
+ "\n",
+ "### Doppler Lidar (DL)\n",
+ "The [Doppler lidar (DL)](https://arm.gov/capabilities/instruments/dl) is a scanning coherent lidar that measures the radial velocity of aerosol particles carried along by the wind. When the beam is pointed straight up (the fixed-point, or vertical-stare, scan mode), the radial velocity is the vertical air motion, making the DL a good tool for seeing boundary-layer turbulence, convective plumes, and the strong downdrafts and outflow that accompany a haboob.\n"
]
},
{
@@ -209,11 +232,47 @@
"Let's get started with some data! But first, we need to import some libraries."
]
},
+ {
+ "cell_type": "markdown",
+ "id": "b3e7da99",
+ "metadata": {},
+ "source": [
+ "
\n",
+ "
If Running these Notebooks on Google CoLab
\n",
+ " You will need to include the Atmospheric data Community Toolkit (ACT) within the python environment.\n",
+ " Uncomment the next line prior to importing the python libraries.\n",
+ "
"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "id": "09deec04",
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2026-10-26T19:25:57.683117Z",
+ "iopub.status.busy": "2026-10-26T19:25:57.682914Z",
+ "iopub.status.idle": "2026-10-26T19:25:57.687898Z",
+ "shell.execute_reply": "2026-10-26T19:25:57.687179Z"
+ }
+ },
+ "outputs": [],
+ "source": [
+ "# Uncomment if running on CoLab\n",
+ "##!pip install act-atmos>=2.2.23"
+ ]
+ },
{
"cell_type": "code",
- "execution_count": 56,
+ "execution_count": 27,
"id": "a5b00201-8c78-4ef5-b02f-57e55021f5d6",
"metadata": {
+ "execution": {
+ "iopub.execute_input": "2026-10-26T19:25:57.689977Z",
+ "iopub.status.busy": "2026-10-26T19:25:57.689813Z",
+ "iopub.status.idle": "2026-10-26T19:25:59.524828Z",
+ "shell.execute_reply": "2026-10-26T19:25:59.524317Z"
+ },
"tags": []
},
"outputs": [],
@@ -241,9 +300,15 @@
},
{
"cell_type": "code",
- "execution_count": 57,
+ "execution_count": 28,
"id": "6dc01deb-8e97-4e45-9efb-196b37ca7386",
"metadata": {
+ "execution": {
+ "iopub.execute_input": "2026-10-26T19:25:59.526952Z",
+ "iopub.status.busy": "2026-10-26T19:25:59.526716Z",
+ "iopub.status.idle": "2026-10-26T19:32:12.471214Z",
+ "shell.execute_reply": "2026-10-26T19:32:12.469760Z"
+ },
"tags": []
},
"outputs": [
@@ -268,6 +333,18 @@
"(MET), 2026-08-04 to 2026-08-04, ARM Mobile Facility (DST), Phoenix, AZ: AMF1\n",
"(Main Site for DUSTIEAIM) (M1). Atmospheric Radiation Measurement (ARM) User\n",
"Facility. https://doi.org/10.5439/1786358\n",
+ "\n",
+ "[DOWNLOADING] dstdlfptM1.b1.20260804.050018.cdf\n",
+ "[DOWNLOADING] dstdlfptM1.b1.20260804.060018.cdf\n",
+ "[DOWNLOADING] dstdlfptM1.b1.20260804.070018.cdf\n",
+ "[DOWNLOADING] dstdlfptM1.b1.20260804.080017.cdf\n",
+ "\n",
+ "If you use these data to prepare a publication, please cite:\n",
+ "\n",
+ "Newsom, R., Shi, Y., & Krishnamurthy, R. Doppler Lidar (DLFPT), 2026-08-04 to\n",
+ "2026-08-04, ARM Mobile Facility (DST), Phoenix, AZ: AMF1 (Main Site for\n",
+ "DUSTIEAIM) (M1). Atmospheric Radiation Measurement (ARM) User Facility.\n",
+ "https://doi.org/10.5439/1025185\n",
"\n"
]
}
@@ -288,14 +365,23 @@
"# Set the datastream and start/enddates\n",
"aps_datastream = 'dstaosapsM1.b1'\n",
"met_datastream = \"dstmetM1.b1\"\n",
+ "dl_datastream = \"dstdlfptM1.b1\"\n",
"\n",
"startdate = '2026-08-04'\n",
"enddate = '2026-08-04'\n",
"\n",
+ "# The Doppler lidar files are hourly and large, so rather than pulling the whole\n",
+ "# day we narrow to the window around the dust event. ACT's downloader accepts a\n",
+ "# time on the start/end dates, which the ARM Live webservice uses to filter files\n",
+ "dl_startdate = '2026-08-04T05:00:00'\n",
+ "dl_enddate = '2026-08-04T09:00:00'\n",
+ "\n",
"# Use ACT to easily download the data. Watch for the data citation! Show some support\n",
"# for ARM's instrument experts and cite their data if you use it in a publication\n",
"result_aps = act.discovery.download_arm_data(arm_username, arm_token, aps_datastream, startdate, enddate)\n",
- "result_met = act.discovery.download_arm_data(arm_username, arm_token, met_datastream, startdate, enddate)"
+ "result_met = act.discovery.download_arm_data(arm_username, arm_token, met_datastream, startdate, enddate)\n",
+ "\n",
+ "result_dl = act.discovery.download_arm_data(arm_username, arm_token, dl_datastream, dl_startdate, dl_enddate)"
]
},
{
@@ -311,9 +397,15 @@
},
{
"cell_type": "code",
- "execution_count": 58,
+ "execution_count": 29,
"id": "acdaa696-ebb5-4bbe-8d1e-a4c66f524964",
"metadata": {
+ "execution": {
+ "iopub.execute_input": "2026-10-26T19:32:12.474173Z",
+ "iopub.status.busy": "2026-10-26T19:32:12.473970Z",
+ "iopub.status.idle": "2026-10-26T19:32:13.976918Z",
+ "shell.execute_reply": "2026-10-26T19:32:13.976499Z"
+ },
"tags": []
},
"outputs": [
@@ -896,19 +988,19 @@
" _file_dates: ['20260804']\n",
" _file_times: ['000000']\n",
" _datastream: dstaosapsM1.b1\n",
- " _arm_standards_flag: 1
dN_dlogDp is the aerosol number size distribution where the number of particles per bin (dN) have been divided by the bin-width in log10 space (dlogDp). This simplifies comparison of size distributions from instruments with different bin spacing.
dN_dlogDp is the aerosol number size distribution where the number of particles per bin (dN) have been divided by the bin-width in log10 space (dlogDp). This simplifies comparison of size distributions from instruments with different bin spacing.
Quality check results on variable: Number size distribution, aerodynamic diameter
units :
1
standard_name :
quality_flag
description :
This variable contains bit-packed integer values, where each bit represents a QC test on the data. Non-zero bits indicate the QC condition given in the description for those bits; a value of 0 (no bits set) indicates the data has not failed any QC tests.
seconds_before_stack_purge :
30
seconds_after_stack_purge :
120
flag_method :
bit
bit_1_description :
Value is equal to missing_value.
bit_1_assessment :
Bad
bit_2_description :
total_N_conc is less than the fail_min.
bit_2_assessment :
Bad
bit_3_description :
total_N_conc is greater than the fail_max.
bit_3_assessment :
Bad
bit_4_description :
status_flag not = 0
bit_4_assessment :
Bad
bit_5_description :
time interval > 1.5 * integration_interval
bit_5_assessment :
Indeterminate
bit_6_description :
stack_purge_state == 1 at any time within an interval extending from seconds_before_stack_purge seconds before to seconds_after_stack_purge seconds after the sample time
Quality check results on variable: Number size distribution, aerodynamic diameter
units :
1
standard_name :
quality_flag
description :
This variable contains bit-packed integer values, where each bit represents a QC test on the data. Non-zero bits indicate the QC condition given in the description for those bits; a value of 0 (no bits set) indicates the data has not failed any QC tests.
seconds_before_stack_purge :
30
seconds_after_stack_purge :
120
flag_method :
bit
bit_1_description :
Value is equal to missing_value.
bit_1_assessment :
Bad
bit_2_description :
total_N_conc is less than the fail_min.
bit_2_assessment :
Bad
bit_3_description :
total_N_conc is greater than the fail_max.
bit_3_assessment :
Bad
bit_4_description :
status_flag not = 0
bit_4_assessment :
Bad
bit_5_description :
time interval > 1.5 * integration_interval
bit_5_assessment :
Indeterminate
bit_6_description :
stack_purge_state == 1 at any time within an interval extending from seconds_before_stack_purge seconds before to seconds_after_stack_purge seconds after the sample time
Quality check results on variable: Aerosol number concentration from integrated size distribution, APS
units :
1
standard_name :
quality_flag
description :
This variable contains bit-packed integer values, where each bit represents a QC test on the data. Non-zero bits indicate the QC condition given in the description for those bits; a value of 0 (no bits set) indicates the data has not failed any QC tests.
fail_min :
0.0
fail_max :
1000.0
seconds_before_stack_purge :
30
seconds_after_stack_purge :
120
flag_method :
bit
bit_1_description :
Value is equal to missing_value
bit_1_assessment :
Bad
bit_2_description :
Value is less than the fail_min.
bit_2_assessment :
Bad
bit_3_description :
Value is greater than the fail_max.
bit_3_assessment :
Bad
bit_4_description :
status_flag not = 0
bit_4_assessment :
Bad
bit_5_description :
time interval > 1.5 * integration_interval
bit_5_assessment :
Indeterminate
bit_6_description :
stack_purge_state == 1 at any time within an interval extending from seconds_before_stack_purge seconds before to seconds_after_stack_purge seconds after the sample time
bit_6_assessment :
Bad
\n",
+ "
qc_total_N_conc
(time)
int32
dask.array<chunksize=(86399,), meta=np.ndarray>
long_name :
Quality check results on variable: Aerosol number concentration from integrated size distribution, APS
units :
1
standard_name :
quality_flag
description :
This variable contains bit-packed integer values, where each bit represents a QC test on the data. Non-zero bits indicate the QC condition given in the description for those bits; a value of 0 (no bits set) indicates the data has not failed any QC tests.
fail_min :
0.0
fail_max :
1000.0
seconds_before_stack_purge :
30
seconds_after_stack_purge :
120
flag_method :
bit
bit_1_description :
Value is equal to missing_value
bit_1_assessment :
Bad
bit_2_description :
Value is less than the fail_min.
bit_2_assessment :
Bad
bit_3_description :
Value is greater than the fail_max.
bit_3_assessment :
Bad
bit_4_description :
status_flag not = 0
bit_4_assessment :
Bad
bit_5_description :
time interval > 1.5 * integration_interval
bit_5_assessment :
Indeterminate
bit_6_description :
stack_purge_state == 1 at any time within an interval extending from seconds_before_stack_purge seconds before to seconds_after_stack_purge seconds after the sample time
Quality check results on variable: Total surface area concentration from integrated size distribution, APS
units :
1
standard_name :
quality_flag
description :
This variable contains bit-packed integer values, where each bit represents a QC test on the data. Non-zero bits indicate the QC condition given in the description for those bits; a value of 0 (no bits set) indicates the data has not failed any QC tests.
seconds_before_stack_purge :
30
seconds_after_stack_purge :
120
flag_method :
bit
bit_1_description :
Value is equal to missing_value.
bit_1_assessment :
Bad
bit_2_description :
total_N_conc is less than the fail_min.
bit_2_assessment :
Bad
bit_3_description :
total_N_conc is greater than the fail_max.
bit_3_assessment :
Bad
bit_4_description :
status_flag not = 0
bit_4_assessment :
Bad
bit_5_description :
time interval > 1.5 * integration_interval
bit_5_assessment :
Indeterminate
bit_6_description :
stack_purge_state == 1 at any time within an interval extending from seconds_before_stack_purge seconds before to seconds_after_stack_purge seconds after the sample time
bit_6_assessment :
Bad
\n",
+ "
qc_total_SA_conc
(time)
int32
dask.array<chunksize=(86399,), meta=np.ndarray>
long_name :
Quality check results on variable: Total surface area concentration from integrated size distribution, APS
units :
1
standard_name :
quality_flag
description :
This variable contains bit-packed integer values, where each bit represents a QC test on the data. Non-zero bits indicate the QC condition given in the description for those bits; a value of 0 (no bits set) indicates the data has not failed any QC tests.
seconds_before_stack_purge :
30
seconds_after_stack_purge :
120
flag_method :
bit
bit_1_description :
Value is equal to missing_value.
bit_1_assessment :
Bad
bit_2_description :
total_N_conc is less than the fail_min.
bit_2_assessment :
Bad
bit_3_description :
total_N_conc is greater than the fail_max.
bit_3_assessment :
Bad
bit_4_description :
status_flag not = 0
bit_4_assessment :
Bad
bit_5_description :
time interval > 1.5 * integration_interval
bit_5_assessment :
Indeterminate
bit_6_description :
stack_purge_state == 1 at any time within an interval extending from seconds_before_stack_purge seconds before to seconds_after_stack_purge seconds after the sample time
Quality check results on variable: Total volume concentration from integrated size distribution, APS
units :
1
standard_name :
quality_flag
description :
This variable contains bit-packed integer values, where each bit represents a QC test on the data. Non-zero bits indicate the QC condition given in the description for those bits; a value of 0 (no bits set) indicates the data has not failed any QC tests.
seconds_before_stack_purge :
30
seconds_after_stack_purge :
120
flag_method :
bit
bit_1_description :
Value is equal to missing_value.
bit_1_assessment :
Bad
bit_2_description :
total_N_conc is less than the fail_min.
bit_2_assessment :
Bad
bit_3_description :
total_N_conc is greater than the fail_max.
bit_3_assessment :
Bad
bit_4_description :
status_flag not = 0
bit_4_assessment :
Bad
bit_5_description :
time interval > 1.5 * integration_interval
bit_5_assessment :
Indeterminate
bit_6_description :
stack_purge_state == 1 at any time within an interval extending from seconds_before_stack_purge seconds before to seconds_after_stack_purge seconds after the sample time
bit_6_assessment :
Bad
\n",
+ "
qc_total_V_conc
(time)
int32
dask.array<chunksize=(86399,), meta=np.ndarray>
long_name :
Quality check results on variable: Total volume concentration from integrated size distribution, APS
units :
1
standard_name :
quality_flag
description :
This variable contains bit-packed integer values, where each bit represents a QC test on the data. Non-zero bits indicate the QC condition given in the description for those bits; a value of 0 (no bits set) indicates the data has not failed any QC tests.
seconds_before_stack_purge :
30
seconds_after_stack_purge :
120
flag_method :
bit
bit_1_description :
Value is equal to missing_value.
bit_1_assessment :
Bad
bit_2_description :
total_N_conc is less than the fail_min.
bit_2_assessment :
Bad
bit_3_description :
total_N_conc is greater than the fail_max.
bit_3_assessment :
Bad
bit_4_description :
status_flag not = 0
bit_4_assessment :
Bad
bit_5_description :
time interval > 1.5 * integration_interval
bit_5_assessment :
Indeterminate
bit_6_description :
stack_purge_state == 1 at any time within an interval extending from seconds_before_stack_purge seconds before to seconds_after_stack_purge seconds after the sample time
This event occurs when the signal for a small particle cannot stay above the threshold and only one crest is detected. The measurement is aborted, and the time-of-flight of the particle is not recorded. However, the event is logged for concentration calculations and displayed in the < 0.523 µm size channel in uncorrelated mode. (TSI APS model 3321 manual)
cell_methods :
time: sum
\n",
+ "
event_1
(time)
float64
dask.array<chunksize=(86399,), meta=np.ndarray>
long_name :
Single crossing event
units :
count
comment :
This event occurs when the signal for a small particle cannot stay above the threshold and only one crest is detected. The measurement is aborted, and the time-of-flight of the particle is not recorded. However, the event is logged for concentration calculations and displayed in the < 0.523 µm size channel in uncorrelated mode. (TSI APS model 3321 manual)
This event is caused by coincidence. Although the signal stays above the threshold, three or more crests are detected. Events of this type are logged but not recorded for concentration or time-of-flight. (TSI APS model 3321 manual)
cell_methods :
time: sum
\n",
+ "
event_3
(time)
float64
dask.array<chunksize=(86399,), meta=np.ndarray>
long_name :
Coincidence event
units :
count
comment :
This event is caused by coincidence. Although the signal stays above the threshold, three or more crests are detected. Events of this type are logged but not recorded for concentration or time-of-flight. (TSI APS model 3321 manual)
This event is outside the maximum range of the timer. The signal remains above the threshold until it moves outside the timer range, and only one crest is detected. A type 4 event is normally caused by large or recirculating particles. Again, the event is logged, but no time-of-flight is recorded. (TSI APS model 3321 manual)
cell_methods :
time: sum
\n",
+ "
event_4
(time)
float64
dask.array<chunksize=(86399,), meta=np.ndarray>
long_name :
Over range event
units :
count
comment :
This event is outside the maximum range of the timer. The signal remains above the threshold until it moves outside the timer range, and only one crest is detected. A type 4 event is normally caused by large or recirculating particles. Again, the event is logged, but no time-of-flight is recorded. (TSI APS model 3321 manual)
Quality check results on variable: Atmospheric pressure
units :
1
description :
This variable contains bit-packed integer values, where each bit represents a QC test on the data. Non-zero bits indicate the QC condition given in the description for those bits; a value of 0 (no bits set) indicates the data has not failed any QC tests.
standard_name :
quality_flag
flag_method :
bit
bit_1_description :
Value is equal to missing_value.
bit_1_assessment :
Bad
bit_2_description :
Value is less than valid_min.
bit_2_assessment :
Bad
bit_3_description :
Value is greater than valid_max.
bit_3_assessment :
Bad
bit_4_description :
Difference between current and previous values exceeds valid_delta.
bit_4_assessment :
Indeterminate
\n",
+ "
qc_atmos_pressure
(time)
int32
dask.array<chunksize=(1440,), meta=np.ndarray>
long_name :
Quality check results on variable: Atmospheric pressure
units :
1
description :
This variable contains bit-packed integer values, where each bit represents a QC test on the data. Non-zero bits indicate the QC condition given in the description for those bits; a value of 0 (no bits set) indicates the data has not failed any QC tests.
standard_name :
quality_flag
flag_method :
bit
bit_1_description :
Value is equal to missing_value.
bit_1_assessment :
Bad
bit_2_description :
Value is less than valid_min.
bit_2_assessment :
Bad
bit_3_description :
Value is greater than valid_max.
bit_3_assessment :
Bad
bit_4_description :
Difference between current and previous values exceeds valid_delta.
Quality check results on variable: Temperature mean
units :
1
description :
This variable contains bit-packed integer values, where each bit represents a QC test on the data. Non-zero bits indicate the QC condition given in the description for those bits; a value of 0 (no bits set) indicates the data has not failed any QC tests.
standard_name :
quality_flag
flag_method :
bit
bit_1_description :
Value is equal to missing_value.
bit_1_assessment :
Bad
bit_2_description :
Value is less than valid_min.
bit_2_assessment :
Bad
bit_3_description :
Value is greater than valid_max.
bit_3_assessment :
Bad
bit_4_description :
Difference between current and previous values exceeds valid_delta.
bit_4_assessment :
Indeterminate
\n",
+ "
qc_temp_mean
(time)
int32
dask.array<chunksize=(1440,), meta=np.ndarray>
long_name :
Quality check results on variable: Temperature mean
units :
1
description :
This variable contains bit-packed integer values, where each bit represents a QC test on the data. Non-zero bits indicate the QC condition given in the description for those bits; a value of 0 (no bits set) indicates the data has not failed any QC tests.
standard_name :
quality_flag
flag_method :
bit
bit_1_description :
Value is equal to missing_value.
bit_1_assessment :
Bad
bit_2_description :
Value is less than valid_min.
bit_2_assessment :
Bad
bit_3_description :
Value is greater than valid_max.
bit_3_assessment :
Bad
bit_4_description :
Difference between current and previous values exceeds valid_delta.
Quality check results on variable: Relative humidity mean
units :
1
standard_name :
quality_flag
description :
This variable contains bit-packed integer values, where each bit represents a QC test on the data. Non-zero bits indicate the QC condition given in the description for those bits; a value of 0 (no bits set) indicates the data has not failed any QC tests.
flag_method :
bit
bit_1_description :
Value is equal to missing_value.
bit_1_assessment :
Bad
bit_2_description :
Value is less than valid_min.
bit_2_assessment :
Bad
bit_3_description :
Value is greater than valid_max.
bit_3_assessment :
Bad
bit_4_description :
Difference between current and previous values exceeds valid_delta.
bit_4_assessment :
Indeterminate
\n",
+ "
qc_rh_mean
(time)
int32
dask.array<chunksize=(1440,), meta=np.ndarray>
long_name :
Quality check results on variable: Relative humidity mean
units :
1
standard_name :
quality_flag
description :
This variable contains bit-packed integer values, where each bit represents a QC test on the data. Non-zero bits indicate the QC condition given in the description for those bits; a value of 0 (no bits set) indicates the data has not failed any QC tests.
flag_method :
bit
bit_1_description :
Value is equal to missing_value.
bit_1_assessment :
Bad
bit_2_description :
Value is less than valid_min.
bit_2_assessment :
Bad
bit_3_description :
Value is greater than valid_max.
bit_3_assessment :
Bad
bit_4_description :
Difference between current and previous values exceeds valid_delta.
Quality check results on variable: Vapor pressure mean, calculated
units :
1
standard_name :
quality_flag
description :
This variable contains bit-packed integer values, where each bit represents a QC test on the data. Non-zero bits indicate the QC condition given in the description for those bits; a value of 0 (no bits set) indicates the data has not failed any QC tests.
flag_method :
bit
bit_1_description :
Value is equal to missing_value.
bit_1_assessment :
Bad
bit_2_description :
Value is less than valid_min.
bit_2_assessment :
Bad
bit_3_description :
Value is greater than valid_max.
bit_3_assessment :
Bad
bit_4_description :
Difference between current and previous values exceeds valid_delta.
bit_4_assessment :
Indeterminate
\n",
+ "
qc_vapor_pressure_mean
(time)
int32
dask.array<chunksize=(1440,), meta=np.ndarray>
long_name :
Quality check results on variable: Vapor pressure mean, calculated
units :
1
standard_name :
quality_flag
description :
This variable contains bit-packed integer values, where each bit represents a QC test on the data. Non-zero bits indicate the QC condition given in the description for those bits; a value of 0 (no bits set) indicates the data has not failed any QC tests.
flag_method :
bit
bit_1_description :
Value is equal to missing_value.
bit_1_assessment :
Bad
bit_2_description :
Value is less than valid_min.
bit_2_assessment :
Bad
bit_3_description :
Value is greater than valid_max.
bit_3_assessment :
Bad
bit_4_description :
Difference between current and previous values exceeds valid_delta.
![\"Open](\"https://colab.research.google.com/assets/colab-badge.svg\"){kind=icon}