Uncertainty in counting ice nucleating particles with continuous flow diffusion chambers

Garimella, Sarvesh; Rothenberg, Daniel A.; Wolf, Martin J.; David, Robert O.; Kanji, Zamin A.; Wang, Chien; Rösch, Michael; Cziczo, Daniel J.

doi:10.5194/acp-17-10855-2017

Articles | Volume 17, issue 17

https://doi.org/10.5194/acp-17-10855-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-17-10855-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 17

Research article

|

14 Sep 2017

Research article |

| 14 Sep 2017

Uncertainty in counting ice nucleating particles with continuous flow diffusion chambers

Sarvesh Garimella, Daniel A. Rothenberg, Martin J. Wolf, Robert O. David, Zamin A. Kanji, Chien Wang, Michael Rösch, and Daniel J. Cziczo

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Jan 2017	54	19	0	73
Feb 2017	67	15	8	90
Mar 2017	71	15	13	99
Apr 2017	62	24	10	96
May 2017	73	24	8	105
Jun 2017	38	6	8	52
Jul 2017	12	6	0	18
Aug 2017	17	8	0	25
Sep 2017	294	74	4	372
Oct 2017	41	37	1	79
Nov 2017	33	23	2	58
Dec 2017	21	16	0	37
Jan 2018	25	16	0	41
Feb 2018	15	18	0	33
Mar 2018	23	22	0	45
Apr 2018	17	16	0	33
May 2018	22	19	0	41
Jun 2018	15	18	0	33
Jul 2018	9	10	0	19
Aug 2018	18	17	1	36
Sep 2018	16	20	0	36
Oct 2018	15	9	1	25
Nov 2018	16	9	1	26
Dec 2018	7	11	2	20
Jan 2019	8	8	0	16
Feb 2019	5	6	0	11
Mar 2019	8	4	0	12
Apr 2019	10	6	0	16
May 2019	5	8	0	13
Jun 2019	6	4	0	10
Jul 2019	7	5	0	12
Aug 2019	7	8	0	15
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Nov 2019	9	5	0	14
Dec 2019	5	9	0	14
Jan 2020	10	13	0	23
Feb 2020	5	4	1	10
Mar 2020	6	3	0	9
Apr 2020	3	6	0	9
May 2020	6	5	0	11
Jun 2020	19	16	0	35
Jul 2020	14	15	5	34
Aug 2020	13	10	2	25
Sep 2020	15	5	0	20
Oct 2020	6	12	0	18
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Dec 2020	6	1	0	7
Jan 2021	10	6	0	16
Feb 2021	6	3	1	10
Mar 2021	14	6	0	20
Apr 2021	12	9	0	21
May 2021	5	6	1	12
Jun 2021	11	5	0	16
Jul 2021	7	5	0	12
Aug 2021	6	6	0	12
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Oct 2021	3	38	1	42
Nov 2021	14	28	1	43
Dec 2021	13	5	0	18
Jan 2022	13	10	2	25
Feb 2022	12	6	1	19
Mar 2022	9	12	0	21
Apr 2022	7	7	1	15
May 2022	4	9	0	13
Jun 2022	9	7	2	18
Jul 2022	5	2	0	7
Aug 2022	21	5	0	26
Sep 2022	10	8	0	18
Oct 2022	11	1	1	13
Nov 2022	21	14	0	35
Dec 2022	16	9	1	26
Jan 2023	15	10	1	26
Feb 2023	11	9	0	20
Mar 2023	26	8	0	34
Apr 2023	7	5	0	12
May 2023	39	7	0	46
Jun 2023	45	4	1	50
Jul 2023	45	5	1	51
Aug 2023	39	6	2	47
Sep 2023	47	6	1	54
Oct 2023	42	1	43
Nov 2023	31	1	0	32
Dec 2023	45	9	3	57
Jan 2024	40	17	0	57
Feb 2024	33	9	0	42
Mar 2024	39	27	2	68
Apr 2024	45	12	4	61
May 2024	13	17	1	31
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Jul 2024	23	3	3	29
Aug 2024	37	7	3	47
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Oct 2024	21	7	1	29
Nov 2024	16	7	3	26
Dec 2024	10	5	1	16
Jan 2025	24	5	5	34
Feb 2025	32	18	0	50
Mar 2025	10	6	0	16
Apr 2025	26	15	3	44
May 2025	22	6	0	28
Jun 2025	51	19	1	71
Jul 2025	38	26	0	64
Aug 2025	43	28	4	75
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Oct 2025	23	24	0	47
Nov 2025	8	10	1	19

Cumulative views and downloads (calculated since 31 Jan 2017)

Month	HTML	PDF	XML	Total
Jan 2017	54	19	0	73
Feb 2017	67	15	8	90
Mar 2017	71	15	13	99
Apr 2017	62	24	10	96
May 2017	73	24	8	105
Jun 2017	38	6	8	52
Jul 2017	12	6	0	18
Aug 2017	17	8	0	25
Sep 2017	294	74	4	372
Oct 2017	41	37	1	79
Nov 2017	33	23	2	58
Dec 2017	21	16	0	37
Jan 2018	25	16	0	41
Feb 2018	15	18	0	33
Mar 2018	23	22	0	45
Apr 2018	17	16	0	33
May 2018	22	19	0	41
Jun 2018	15	18	0	33
Jul 2018	9	10	0	19
Aug 2018	18	17	1	36
Sep 2018	16	20	0	36
Oct 2018	15	9	1	25
Nov 2018	16	9	1	26
Dec 2018	7	11	2	20
Jan 2019	8	8	0	16
Feb 2019	5	6	0	11
Mar 2019	8	4	0	12
Apr 2019	10	6	0	16
May 2019	5	8	0	13
Jun 2019	6	4	0	10
Jul 2019	7	5	0	12
Aug 2019	7	8	0	15
Sep 2019	4	3	0	7
Oct 2019	17	7	1	25
Nov 2019	9	5	0	14
Dec 2019	5	9	0	14
Jan 2020	10	13	0	23
Feb 2020	5	4	1	10
Mar 2020	6	3	0	9
Apr 2020	3	6	0	9
May 2020	6	5	0	11
Jun 2020	19	16	0	35
Jul 2020	14	15	5	34
Aug 2020	13	10	2	25
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Oct 2020	6	12	0	18
Nov 2020	8	8	1	17
Dec 2020	6	1	0	7
Jan 2021	10	6	0	16
Feb 2021	6	3	1	10
Mar 2021	14	6	0	20
Apr 2021	12	9	0	21
May 2021	5	6	1	12
Jun 2021	11	5	0	16
Jul 2021	7	5	0	12
Aug 2021	6	6	0	12
Sep 2021	13	7	0	20
Oct 2021	3	38	1	42
Nov 2021	14	28	1	43
Dec 2021	13	5	0	18
Jan 2022	13	10	2	25
Feb 2022	12	6	1	19
Mar 2022	9	12	0	21
Apr 2022	7	7	1	15
May 2022	4	9	0	13
Jun 2022	9	7	2	18
Jul 2022	5	2	0	7
Aug 2022	21	5	0	26
Sep 2022	10	8	0	18
Oct 2022	11	1	1	13
Nov 2022	21	14	0	35
Dec 2022	16	9	1	26
Jan 2023	15	10	1	26
Feb 2023	11	9	0	20
Mar 2023	26	8	0	34
Apr 2023	7	5	0	12
May 2023	39	7	0	46
Jun 2023	45	4	1	50
Jul 2023	45	5	1	51
Aug 2023	39	6	2	47
Sep 2023	47	6	1	54
Oct 2023	42	1	43
Nov 2023	31	1	0	32
Dec 2023	45	9	3	57
Jan 2024	40	17	0	57
Feb 2024	33	9	0	42
Mar 2024	39	27	2	68
Apr 2024	45	12	4	61
May 2024	13	17	1	31
Jun 2024	13	5	1	19
Jul 2024	23	3	3	29
Aug 2024	37	7	3	47
Sep 2024	11	5	0	16
Oct 2024	21	7	1	29
Nov 2024	16	7	3	26
Dec 2024	10	5	1	16
Jan 2025	24	5	5	34
Feb 2025	32	18	0	50
Mar 2025	10	6	0	16
Apr 2025	26	15	3	44
May 2025	22	6	0	28
Jun 2025	51	19	1	71
Jul 2025	38	26	0	64
Aug 2025	43	28	4	75
Sep 2025	57	16	2	75
Oct 2025	23	24	0	47
Nov 2025	8	10	1	19

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Short summary

This study investigates systematic and variable low bias in the measurement of ice nucleating particle concentration using continuous flow diffusion chambers. We find that non-ideal instrument behavior exposes particles to different humidities and/or temperatures than predicted from theory. We use a machine learning approach to quantify and minimize the uncertainty associated with this measurement bias.


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