An empirical method to correct for temperature-dependent variations in the
overlap function of CHM15k ceilometers

Hervo, Maxime; Poltera, Yann; Haefele, Alexander

doi:10.5194/amt-9-2947-2016

Articles | Volume 9, issue 7

https://doi.org/10.5194/amt-9-2947-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-9-2947-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 7

Research article

|

12 Jul 2016

Research article |

| 12 Jul 2016

An empirical method to correct for temperature-dependent variations in the overlap function of CHM15k ceilometers

Maxime Hervo, Yann Poltera, and Alexander Haefele

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Feb 2016	142	58	5	205
Mar 2016	36	24	3	63
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May 2016	27	13	1	41
Jun 2016	19	8	5	32
Jul 2016	61	13	2	76
Aug 2016	21	5	0	26
Sep 2016	10	7	0	17
Oct 2016	8	2	0	10
Nov 2016	5	6	0	11
Dec 2016	3	5	0	8
Jan 2017	8	8	0	16
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Mar 2017	19	17	3	39
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Feb 2018	17	19	0	36
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Jan 2023	8	8	1	17
Feb 2023	23	13	1	37
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Feb 2024	40	15	2	57
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Apr 2024	42	10	3	55
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Jun 2024	44	12	2	58
Jul 2024	30	9	5	44
Aug 2024	30	2	0	32
Sep 2024	13	8	0	21
Oct 2024	16	8	0	24
Nov 2024	14	3	1	18
Dec 2024	9	8	1	18
Jan 2025	25	6	0	31
Feb 2025	31	15	1	47
Mar 2025	23	7	0	30
Apr 2025	30	20	0	50
May 2025	25	8	3	36
Jun 2025	55	21	2	78
Jul 2025	26	13	4	43
Aug 2025	64	12	1	77
Sep 2025	85	20	0	105
Oct 2025	37	25	1	63
Nov 2025	22	5	3	30

Cumulative views and downloads (calculated since 18 Feb 2016)

Month	HTML	PDF	XML	Total
Feb 2016	142	58	5	205
Mar 2016	36	24	3	63
Apr 2016	21	9	0	30
May 2016	27	13	1	41
Jun 2016	19	8	5	32
Jul 2016	61	13	2	76
Aug 2016	21	5	0	26
Sep 2016	10	7	0	17
Oct 2016	8	2	0	10
Nov 2016	5	6	0	11
Dec 2016	3	5	0	8
Jan 2017	8	8	0	16
Feb 2017	8	7	0	15
Mar 2017	19	17	3	39
Apr 2017	17	10	2	29
May 2017	17	12	0	29
Jun 2017	23	11	0	34
Jul 2017	12	6	1	19
Aug 2017	11	15	1	27
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Oct 2017	7	12	0	19
Nov 2017	10	27	0	37
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Mar 2019	4	13	0	17
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Jul 2019	9	12	0	21
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Jan 2023	8	8	1	17
Feb 2023	23	13	1	37
Mar 2023	19	13	0	32
Apr 2023	8	9	0	17
May 2023	54	14	0	68
Jun 2023	56	10	3	69
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Aug 2023	45	12	3	60
Sep 2023	37	16	1	54
Oct 2023	50	15	3	68
Nov 2023	24	6	0	30
Dec 2023	45	13	1	59
Jan 2024	41	5	0	46
Feb 2024	40	15	2	57
Mar 2024	59	15	6	80
Apr 2024	42	10	3	55
May 2024	29	26	7	62
Jun 2024	44	12	2	58
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Dec 2024	9	8	1	18
Jan 2025	25	6	0	31
Feb 2025	31	15	1	47
Mar 2025	23	7	0	30
Apr 2025	30	20	0	50
May 2025	25	8	3	36
Jun 2025	55	21	2	78
Jul 2025	26	13	4	43
Aug 2025	64	12	1	77
Sep 2025	85	20	0	105
Oct 2025	37	25	1	63
Nov 2025	22	5	3	30

Latest update: 16 Nov 2025

Short summary

Imperfections in a lidar's overlap function lead to artefacts in the lidar (Light Detection and Ranging) signals. These artefacts can erroneously be interpreted as an aerosol gradient or, in extreme cases, as a cloud base leading to false cloud detection. In this study an algorithm is presented to correct such artefacts. The algorithm is completely automatic and does not require any intervention on site. It is therefore suited for use in large automatic lidar networks.