SATIN–Satellite driven nowcasting system

Meirold-Mautner, Ingo; Kann, Alexander; Meier, Florian

doi:10.5194/asr-13-27-2016

Articles | Volume 13

https://doi.org/10.5194/asr-13-27-2016

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

https://doi.org/10.5194/asr-13-27-2016

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

Articles | Volume 13

16 Mar 2016

| 16 Mar 2016

SATIN–Satellite driven nowcasting system

Ingo Meirold-Mautner, Alexander Kann, and Florian Meier

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Total article views: 2,317 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
1,385	826	106	2,317	184	209

HTML: 1,385
PDF: 826
XML: 106
Total: 2,317
BibTeX: 184
EndNote: 209

Views and downloads (calculated since 16 Mar 2016)

Month	HTML	PDF	XML	Total
Mar 2016	32	11	1	44
Apr 2016	27	8	4	39
May 2016	33	2	0	35
Jun 2016	30	4	1	35
Jul 2016	26	2	1	29
Aug 2016	32	6	1	39
Sep 2016	27	2	1	30
Oct 2016	24	3	0	27
Nov 2016	20	2	0	22
Dec 2016	17	3	0	20
Jan 2017	39	4	1	44
Feb 2017	15	1	0	16
Mar 2017	24	13	2	39
Apr 2017	24	4	0	28
May 2017	21	8	0	29
Jun 2017	16	1	2	19
Jul 2017	16	7	0	23
Aug 2017	7	16	3	26
Sep 2017	8	20	0	28
Oct 2017	8	11	0	19
Nov 2017	16	6	0	22
Dec 2017	17	9	0	26
Jan 2018	24	8	0	32
Feb 2018	26	8	4	38
Mar 2018	26	15	0	41
Apr 2018	23	18	0	41
May 2018	8	13	0	21
Jun 2018	6	14	1	21
Jul 2018	7	12	0	19
Aug 2018	7	15	0	22
Sep 2018	7	11	0	18
Oct 2018	8	15	0	23
Nov 2018	14	19	0	33
Dec 2018	5	11	0	16
Jan 2019	4	12	0	16
Feb 2019	8	3	1	12
Mar 2019	2	8	0	10
Apr 2019	3	15	0	18
May 2019	6	9	0	15
Jun 2019	6	17	0	23
Jul 2019	2	8	0	10
Aug 2019	4	19	0	23
Sep 2019	6	8	2	16
Oct 2019	6	13	0	19
Nov 2019	12	10	2	24
Dec 2019	5	12	0	17
Jan 2020	8	3	1	12
Feb 2020	6	2	0	8
Mar 2020	5	7	0	12
Apr 2020	5	8	0	13
May 2020	10	3	0	13
Jun 2020	25	5	0	30
Jul 2020	42	29	27	98
Aug 2020	6	2	3	11
Sep 2020	6	3	0	9
Oct 2020	8	10	0	18
Nov 2020	9	10	0	19
Dec 2020	12	8	0	20
Jan 2021	5	6	0	11
Feb 2021	10	4	0	14
Mar 2021	6	5	0	11
Apr 2021	4	3	0	7
May 2021	10	3	2	15
Jun 2021	5	4	0	9
Jul 2021	3	4	0	7
Aug 2021	15	5	0	20
Sep 2021	6	11	0	17
Oct 2021	4	14	0	18
Nov 2021	9	17	1	27
Dec 2021	11	7	2	20
Jan 2022	11	14	2	27
Feb 2022	5	6	1	12
Mar 2022	9	4	0	13
Apr 2022	6	5	0	11
May 2022	5	4	1	10
Jun 2022	5	2	1	8
Jul 2022	6	4	0	10
Aug 2022	6	5	0	11
Sep 2022	10	6	1	17
Oct 2022	8	3	1	12
Nov 2022	5	8	1	14
Dec 2022	6	7	1	14
Jan 2023	4	4	0	8
Feb 2023	9	1	0	10
Mar 2023	12	2	0	14
Apr 2023	4	0	4
May 2023	6	6	0	12
Jun 2023	2	2	0	4
Jul 2023	3	3	0	6
Aug 2023	3	3	1	7
Sep 2023	3	0	3
Oct 2023	3	0	3
Nov 2023	4	8	0	12
Dec 2023	4	3	1	8
Jan 2024	2	3	0	5
Feb 2024	1	4	0	5
Mar 2024	2	5	1	8
Apr 2024	4	4	1	9
May 2024	6	2	2	10
Jun 2024	48	3	2	53
Jul 2024	22	4	1	27
Aug 2024	32	2	4	38
Sep 2024	12	2	3	17
Oct 2024	5	8	2	15
Nov 2024	6	1	0	7
Dec 2024	5	4	1	10
Jan 2025	6	2	2	10
Feb 2025	13	6	1	20
Mar 2025	6	5	4	15
Apr 2025	6	5	1	12
May 2025	8	9	1	18
Jun 2025	15	5	0	20
Jul 2025	17	6	1	24
Aug 2025	22	10	0	32
Sep 2025	48	7	3	58
Oct 2025	22	10	2	34
Nov 2025	10	4	0	14

Cumulative views and downloads (calculated since 16 Mar 2016)

Month	HTML	PDF	XML	Total
Mar 2016	32	11	1	44
Apr 2016	27	8	4	39
May 2016	33	2	0	35
Jun 2016	30	4	1	35
Jul 2016	26	2	1	29
Aug 2016	32	6	1	39
Sep 2016	27	2	1	30
Oct 2016	24	3	0	27
Nov 2016	20	2	0	22
Dec 2016	17	3	0	20
Jan 2017	39	4	1	44
Feb 2017	15	1	0	16
Mar 2017	24	13	2	39
Apr 2017	24	4	0	28
May 2017	21	8	0	29
Jun 2017	16	1	2	19
Jul 2017	16	7	0	23
Aug 2017	7	16	3	26
Sep 2017	8	20	0	28
Oct 2017	8	11	0	19
Nov 2017	16	6	0	22
Dec 2017	17	9	0	26
Jan 2018	24	8	0	32
Feb 2018	26	8	4	38
Mar 2018	26	15	0	41
Apr 2018	23	18	0	41
May 2018	8	13	0	21
Jun 2018	6	14	1	21
Jul 2018	7	12	0	19
Aug 2018	7	15	0	22
Sep 2018	7	11	0	18
Oct 2018	8	15	0	23
Nov 2018	14	19	0	33
Dec 2018	5	11	0	16
Jan 2019	4	12	0	16
Feb 2019	8	3	1	12
Mar 2019	2	8	0	10
Apr 2019	3	15	0	18
May 2019	6	9	0	15
Jun 2019	6	17	0	23
Jul 2019	2	8	0	10
Aug 2019	4	19	0	23
Sep 2019	6	8	2	16
Oct 2019	6	13	0	19
Nov 2019	12	10	2	24
Dec 2019	5	12	0	17
Jan 2020	8	3	1	12
Feb 2020	6	2	0	8
Mar 2020	5	7	0	12
Apr 2020	5	8	0	13
May 2020	10	3	0	13
Jun 2020	25	5	0	30
Jul 2020	42	29	27	98
Aug 2020	6	2	3	11
Sep 2020	6	3	0	9
Oct 2020	8	10	0	18
Nov 2020	9	10	0	19
Dec 2020	12	8	0	20
Jan 2021	5	6	0	11
Feb 2021	10	4	0	14
Mar 2021	6	5	0	11
Apr 2021	4	3	0	7
May 2021	10	3	2	15
Jun 2021	5	4	0	9
Jul 2021	3	4	0	7
Aug 2021	15	5	0	20
Sep 2021	6	11	0	17
Oct 2021	4	14	0	18
Nov 2021	9	17	1	27
Dec 2021	11	7	2	20
Jan 2022	11	14	2	27
Feb 2022	5	6	1	12
Mar 2022	9	4	0	13
Apr 2022	6	5	0	11
May 2022	5	4	1	10
Jun 2022	5	2	1	8
Jul 2022	6	4	0	10
Aug 2022	6	5	0	11
Sep 2022	10	6	1	17
Oct 2022	8	3	1	12
Nov 2022	5	8	1	14
Dec 2022	6	7	1	14
Jan 2023	4	4	0	8
Feb 2023	9	1	0	10
Mar 2023	12	2	0	14
Apr 2023	4	0	4
May 2023	6	6	0	12
Jun 2023	2	2	0	4
Jul 2023	3	3	0	6
Aug 2023	3	3	1	7
Sep 2023	3	0	3
Oct 2023	3	0	3
Nov 2023	4	8	0	12
Dec 2023	4	3	1	8
Jan 2024	2	3	0	5
Feb 2024	1	4	0	5
Mar 2024	2	5	1	8
Apr 2024	4	4	1	9
May 2024	6	2	2	10
Jun 2024	48	3	2	53
Jul 2024	22	4	1	27
Aug 2024	32	2	4	38
Sep 2024	12	2	3	17
Oct 2024	5	8	2	15
Nov 2024	6	1	0	7
Dec 2024	5	4	1	10
Jan 2025	6	2	2	10
Feb 2025	13	6	1	20
Mar 2025	6	5	4	15
Apr 2025	6	5	1	12
May 2025	8	9	1	18
Jun 2025	15	5	0	20
Jul 2025	17	6	1	24
Aug 2025	22	10	0	32
Sep 2025	48	7	3	58
Oct 2025	22	10	2	34
Nov 2025	10	4	0	14

Latest update: 18 Nov 2025

Short summary

In this study a precipitation nowcasting method is developed which relies on satellite products and automatic weather station data only. It thus omits ground based radar observations which are not readily available in large parts of the world. The system shows improved skill when compared to numerical weather prediction models for analysis and for lead times up to one hour. This type of nowcasting could be valuable in data sparse regions where radar observations are lacking or of poor quality.