CO, CO2, H2O, O3 sensors#

In-situ measurements of trace gas species such as Carbon monoxide (CO), carbon dioxide (CO2) and water vapor (H2O) and ozone (O3).

Each textfile contains the data obtained during a single flight. The file contains the time, location and mixing ratios for CO, CO2, H2O and O3.

Please note, There are no CO data available for ACLOUD flight #23 because of an instrumental failure. For ACLOUD flight #14, there are no O3 data available after 12:58:37 UTC.

The following example demonstrates the use of the trace gas mixing ratios collected during the ACLOUD campaign.

If you have questions or if you would like to use the data for a publication, please don’t hesitate to get in contact with the dataset authors as stated in the dataset attributes contact or author.

Data access#

To analyse the data they first have to be loaded by importing the (AC)³airborne meta data catalogue. To do so the ac3airborne package has to be installed. More information on how to do that and about the catalog can be found here.

Get data#

import ac3airborne

List of flights, where OPC data is available:

cat = ac3airborne.get_intake_catalog()

datasets = []
for campaign in ['ACLOUD']:
    datasets.extend(list(cat[campaign]['P6']['CO_CO2_H2O']))
datasets

['ACLOUD_P6_RF07',
 'ACLOUD_P6_RF08',
 'ACLOUD_P6_RF09',
 'ACLOUD_P6_RF10',
 'ACLOUD_P6_RF11',
 'ACLOUD_P6_RF12',
 'ACLOUD_P6_RF13',
 'ACLOUD_P6_RF14',
 'ACLOUD_P6_RF15',
 'ACLOUD_P6_RF16',
 'ACLOUD_P6_RF17',
 'ACLOUD_P6_RF18',
 'ACLOUD_P6_RF19',
 'ACLOUD_P6_RF20',
 'ACLOUD_P6_RF21',
 'ACLOUD_P6_RF22',
 'ACLOUD_P6_RF23',
 'ACLOUD_P6_RF24',
 'ACLOUD_P6_RF25']

Dataset#

To get an overview of the variables recorded by the trace gas sensors, we load the dataset of the first ACLOUD flight ACLOUD_P6_RF07.

ds_co_co2 = cat['ACLOUD']['P6']['CO_CO2_H2O']['ACLOUD_P6_RF07'].read()
ds_co_co2

	ID	Date/Time	Altitude [m]	Latitude	Longitude	CO mix ratio [ppbv]	CO2 mix ratio [ppmv]	WV mix ratio [ppmv]	O3 mix ratio [ppbv]
0	P6_07	2017-05-27T13:01:59	31.0	78.2458	15.4716	108.92	413.86	2983.6	NaN
1	P6_07	2017-05-27T13:02:00	32.0	78.2459	15.4696	108.22	413.83	2921.0	22.28
2	P6_07	2017-05-27T13:02:01	34.0	78.2460	15.4676	107.44	413.82	2864.0	NaN
3	P6_07	2017-05-27T13:02:02	36.0	78.2461	15.4656	106.80	413.83	2901.5	20.71
4	P6_07	2017-05-27T13:02:03	39.0	78.2462	15.4636	107.95	413.90	2923.6	NaN
...	...	...	...	...	...	...	...	...	...
12294	P6_07	2017-05-27T16:26:53	29.0	78.2477	15.4373	109.24	413.71	2910.0	NaN
12295	P6_07	2017-05-27T16:26:54	29.0	78.2476	15.4392	108.98	413.63	2904.0	19.52
12296	P6_07	2017-05-27T16:26:55	29.0	78.2475	15.4411	107.97	413.61	2897.2	NaN
12297	P6_07	2017-05-27T16:26:56	30.0	78.2474	15.4430	107.99	413.69	2900.1	19.23
12298	P6_07	2017-05-27T16:26:57	30.0	78.2473	15.4448	109.15	413.72	2960.1	NaN

12299 rows × 9 columns

how_to_ac3airborne

CO, CO2, H2O, O3 sensors

Contents

CO, CO2, H2O, O3 sensors#

Data access#

Get data#

Dataset#

View variables#