Cloud ice caused by atmospheric mineral dust – Part 1: Parameterization of
ice nuclei concentration in the NMME-DREAM model

Nickovic, Slobodan; Cvetkovic, Bojan; Madonna, Fabio; Rosoldi, Marco; Pejanovic, Goran; Petkovic, Slavko; Nikolic, Jugoslav

doi:10.5194/acp-16-11367-2016

Articles | Volume 16, issue 17

https://doi.org/10.5194/acp-16-11367-2016

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

https://doi.org/10.5194/acp-16-11367-2016

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

Articles | Volume 16, issue 17

Research article

|

14 Sep 2016

Research article |

| 14 Sep 2016

Cloud ice caused by atmospheric mineral dust – Part 1: Parameterization of ice nuclei concentration in the NMME-DREAM model

Slobodan Nickovic, Bojan Cvetkovic, Fabio Madonna, Marco Rosoldi, Goran Pejanovic, Slavko Petkovic, and Jugoslav Nikolic

Viewed

Total article views: 4,005 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
2,437	1,402	166	4,005	109	128

HTML: 2,437
PDF: 1,402
XML: 166
Total: 4,005
BibTeX: 109
EndNote: 128

Views and downloads (calculated since 18 May 2016)

Month	HTML	PDF	XML	Total
May 2016	82	51	1	134
Jun 2016	27	11	1	39
Jul 2016	15	10	0	25
Aug 2016	7	8	2	17
Sep 2016	145	62	1	208
Oct 2016	28	15	0	43
Nov 2016	15	9	0	24
Dec 2016	7	3	0	10
Jan 2017	17	12	2	31
Feb 2017	16	14	0	30
Mar 2017	21	12	2	35
Apr 2017	24	17	0	41
May 2017	31	38	3	72
Jun 2017	16	6	5	27
Jul 2017	16	11	2	29
Aug 2017	9	11	5	25
Sep 2017	12	12	2	26
Oct 2017	9	14	2	25
Nov 2017	11	13	2	26
Dec 2017	5	10	2	17
Jan 2018	6	12	1	19
Feb 2018	7	4	2	13
Mar 2018	9	15	5	29
Apr 2018	8	9	3	20
May 2018	12	13	2	27
Jun 2018	8	9	4	21
Jul 2018	11	14	1	26
Aug 2018	23	7	0	30
Sep 2018	12	13	0	25
Oct 2018	14	15	1	30
Nov 2018	23	14	2	39
Dec 2018	11	7	4	22
Jan 2019	10	8	3	21
Feb 2019	11	6	3	20
Mar 2019	7	10	0	17
Apr 2019	9	8	0	17
May 2019	6	10	0	16
Jun 2019	9	7	1	17
Jul 2019	12	9	0	21
Aug 2019	7	7	2	16
Sep 2019	6	6	0	12
Oct 2019	11	15	2	28
Nov 2019	7	3	1	11
Dec 2019	6	5	0	11
Jan 2020	13	8	0	21
Feb 2020	15	5	0	20
Mar 2020	5	3	0	8
Apr 2020	11	8	0	19
May 2020	15	6	0	21
Jun 2020	22	9	0	31
Jul 2020	21	15	6	42
Aug 2020	16	10	2	28
Sep 2020	12	8	2	22
Oct 2020	10	10	1	21
Nov 2020	6	7	2	15
Dec 2020	13	5	3	21
Jan 2021	16	5	0	21
Feb 2021	13	3	0	16
Mar 2021	14	10	2	26
Apr 2021	24	12	0	36
May 2021	21	8	4	33
Jun 2021	11	4	0	15
Jul 2021	12	11	2	25
Aug 2021	6	6	3	15
Sep 2021	14	12	0	26
Oct 2021	10	28	1	39
Nov 2021	14	22	4	40
Dec 2021	20	6	1	27
Jan 2022	15	11	1	27
Feb 2022	17	4	3	24
Mar 2022	7	7	4	18
Apr 2022	4	2	1	7
May 2022	11	5	0	16
Jun 2022	17	4	4	25
Jul 2022	15	5	0	20
Aug 2022	23	7	0	30
Sep 2022	9	4	1	14
Oct 2022	14	4	1	19
Nov 2022	28	11	0	39
Dec 2022	20	11	0	31
Jan 2023	11	11	0	22
Feb 2023	15	7	0	22
Mar 2023	23	9	1	33
Apr 2023	14	11	0	25
May 2023	33	19	0	52
Jun 2023	51	17	3	71
Jul 2023	48	9	1	58
Aug 2023	47	12	3	62
Sep 2023	42	9	0	51
Oct 2023	49	18	1	68
Nov 2023	29	3	0	32
Dec 2023	46	14	2	62
Jan 2024	51	22	1	74
Feb 2024	54	21	0	75
Mar 2024	60	30	1	91
Apr 2024	53	16	3	72
May 2024	20	11	3	34
Jun 2024	29	35	2	66
Jul 2024	31	21	2	54
Aug 2024	26	12	2	40
Sep 2024	15	10	0	25
Oct 2024	22	17	1	40
Nov 2024	8	4	2	14
Dec 2024	12	10	3	25
Jan 2025	42	9	3	54
Feb 2025	58	10	3	71
Mar 2025	30	18	4	52
Apr 2025	22	13	0	35
May 2025	31	7	0	38
Jun 2025	40	32	2	74
Jul 2025	24	16	0	40
Aug 2025	53	15	1	69
Sep 2025	37	26	1	64
Oct 2025	22	34	0	56
Nov 2025	17	13	4	34

Cumulative views and downloads (calculated since 18 May 2016)

Month	HTML	PDF	XML	Total
May 2016	82	51	1	134
Jun 2016	27	11	1	39
Jul 2016	15	10	0	25
Aug 2016	7	8	2	17
Sep 2016	145	62	1	208
Oct 2016	28	15	0	43
Nov 2016	15	9	0	24
Dec 2016	7	3	0	10
Jan 2017	17	12	2	31
Feb 2017	16	14	0	30
Mar 2017	21	12	2	35
Apr 2017	24	17	0	41
May 2017	31	38	3	72
Jun 2017	16	6	5	27
Jul 2017	16	11	2	29
Aug 2017	9	11	5	25
Sep 2017	12	12	2	26
Oct 2017	9	14	2	25
Nov 2017	11	13	2	26
Dec 2017	5	10	2	17
Jan 2018	6	12	1	19
Feb 2018	7	4	2	13
Mar 2018	9	15	5	29
Apr 2018	8	9	3	20
May 2018	12	13	2	27
Jun 2018	8	9	4	21
Jul 2018	11	14	1	26
Aug 2018	23	7	0	30
Sep 2018	12	13	0	25
Oct 2018	14	15	1	30
Nov 2018	23	14	2	39
Dec 2018	11	7	4	22
Jan 2019	10	8	3	21
Feb 2019	11	6	3	20
Mar 2019	7	10	0	17
Apr 2019	9	8	0	17
May 2019	6	10	0	16
Jun 2019	9	7	1	17
Jul 2019	12	9	0	21
Aug 2019	7	7	2	16
Sep 2019	6	6	0	12
Oct 2019	11	15	2	28
Nov 2019	7	3	1	11
Dec 2019	6	5	0	11
Jan 2020	13	8	0	21
Feb 2020	15	5	0	20
Mar 2020	5	3	0	8
Apr 2020	11	8	0	19
May 2020	15	6	0	21
Jun 2020	22	9	0	31
Jul 2020	21	15	6	42
Aug 2020	16	10	2	28
Sep 2020	12	8	2	22
Oct 2020	10	10	1	21
Nov 2020	6	7	2	15
Dec 2020	13	5	3	21
Jan 2021	16	5	0	21
Feb 2021	13	3	0	16
Mar 2021	14	10	2	26
Apr 2021	24	12	0	36
May 2021	21	8	4	33
Jun 2021	11	4	0	15
Jul 2021	12	11	2	25
Aug 2021	6	6	3	15
Sep 2021	14	12	0	26
Oct 2021	10	28	1	39
Nov 2021	14	22	4	40
Dec 2021	20	6	1	27
Jan 2022	15	11	1	27
Feb 2022	17	4	3	24
Mar 2022	7	7	4	18
Apr 2022	4	2	1	7
May 2022	11	5	0	16
Jun 2022	17	4	4	25
Jul 2022	15	5	0	20
Aug 2022	23	7	0	30
Sep 2022	9	4	1	14
Oct 2022	14	4	1	19
Nov 2022	28	11	0	39
Dec 2022	20	11	0	31
Jan 2023	11	11	0	22
Feb 2023	15	7	0	22
Mar 2023	23	9	1	33
Apr 2023	14	11	0	25
May 2023	33	19	0	52
Jun 2023	51	17	3	71
Jul 2023	48	9	1	58
Aug 2023	47	12	3	62
Sep 2023	42	9	0	51
Oct 2023	49	18	1	68
Nov 2023	29	3	0	32
Dec 2023	46	14	2	62
Jan 2024	51	22	1	74
Feb 2024	54	21	0	75
Mar 2024	60	30	1	91
Apr 2024	53	16	3	72
May 2024	20	11	3	34
Jun 2024	29	35	2	66
Jul 2024	31	21	2	54
Aug 2024	26	12	2	40
Sep 2024	15	10	0	25
Oct 2024	22	17	1	40
Nov 2024	8	4	2	14
Dec 2024	12	10	3	25
Jan 2025	42	9	3	54
Feb 2025	58	10	3	71
Mar 2025	30	18	4	52
Apr 2025	22	13	0	35
May 2025	31	7	0	38
Jun 2025	40	32	2	74
Jul 2025	24	16	0	40
Aug 2025	53	15	1	69
Sep 2025	37	26	1	64
Oct 2025	22	34	0	56
Nov 2025	17	13	4	34

Latest update: 26 Nov 2025

Short summary

Specific physical and mineralogical properties of desert dust particles cause extremely efficient production of ice crystals in clouds, thus influencing climate and weather even in regions far from dust sources. This study describes a methodology for predicting conditions of cold cloud formation due to dust. This approach required development of an integrated dust-atmospheric modelling system, designed to improve operational forecasts of weather in general, and cloud/precipitation in particular.