Spatial analysis of precipitation in a high-mountain region: exploring methods with multi-scale topographic predictors and circulation types

Masson, D.; Frei, C.

doi:10.5194/hess-18-4543-2014

Articles | Volume 18, issue 11

https://doi.org/10.5194/hess-18-4543-2014

© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-18-4543-2014

© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 18, issue 11

Research article

|

17 Nov 2014

Research article |

| 17 Nov 2014

Spatial analysis of precipitation in a high-mountain region: exploring methods with multi-scale topographic predictors and circulation types

D. Masson and C. Frei

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Month	HTML	PDF	XML	Total
May 2014	99	98	1	198
Jun 2014	17	39	1	57
Jul 2014	18	17	1	36
Aug 2014	13	10	1	24
Sep 2014	20	18	0	38
Oct 2014	11	15	1	27
Nov 2014	145	208	4	357
Dec 2014	26	526	6	558
Jan 2015	19	270	3	292
Feb 2015	18	24	1	43
Mar 2015	16	20	1	37
Apr 2015	20	7	0	27
May 2015	3	10	1	14
Jun 2015	33	8	1	42
Jul 2015	26	18	1	45
Aug 2015	9	19	0	28
Sep 2015	5	16	6	27
Oct 2015	13	8	0	21
Nov 2015	18	8	0	26
Dec 2015	8	23	0	31
Jan 2016	27	15	1	43
Feb 2016	28	12	1	41
Mar 2016	36	12	16	64
Apr 2016	5	4	1	10
May 2016	12	5	0	17
Jun 2016	3	5	0	8
Jul 2016	8	3	2	13
Aug 2016	9	5	0	14
Sep 2016	10	8	0	18
Oct 2016	9	4	1	14
Nov 2016	10	6	1	17
Dec 2016	3	4	0	7
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Mar 2017	15	5	2	22
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Nov 2017	3	27	0	30
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Apr 2018	6	10	0	16
May 2018	7	19	0	26
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Oct 2018	10	18	0	28
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Apr 2019	6	9	0	15
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Mar 2024	17	9	2	28
Apr 2024	13	11	3	27
May 2024	29	18	10	57
Jun 2024	36	17	3	56
Jul 2024	17	62	6	85
Aug 2024	35	58	2	95
Sep 2024	14	60	0	74
Oct 2024	12	36	0	48
Nov 2024	8	31	1	40
Dec 2024	18	23	0	41
Jan 2025	22	41	2	65
Feb 2025	31	24	2	57
Mar 2025	11	7	0	18
Apr 2025	29	15	1	45
May 2025	38	9	2	49
Jun 2025	44	10	2	56
Jul 2025	40	12	0	52
Aug 2025	40	13	3	56
Sep 2025	44	14	0	58
Oct 2025	28	23	1	52
Nov 2025	27	24	4	55
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Cumulative views and downloads (calculated since 09 May 2014)

Month	HTML	PDF	XML	Total
May 2014	99	98	1	198
Jun 2014	17	39	1	57
Jul 2014	18	17	1	36
Aug 2014	13	10	1	24
Sep 2014	20	18	0	38
Oct 2014	11	15	1	27
Nov 2014	145	208	4	357
Dec 2014	26	526	6	558
Jan 2015	19	270	3	292
Feb 2015	18	24	1	43
Mar 2015	16	20	1	37
Apr 2015	20	7	0	27
May 2015	3	10	1	14
Jun 2015	33	8	1	42
Jul 2015	26	18	1	45
Aug 2015	9	19	0	28
Sep 2015	5	16	6	27
Oct 2015	13	8	0	21
Nov 2015	18	8	0	26
Dec 2015	8	23	0	31
Jan 2016	27	15	1	43
Feb 2016	28	12	1	41
Mar 2016	36	12	16	64
Apr 2016	5	4	1	10
May 2016	12	5	0	17
Jun 2016	3	5	0	8
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Nov 2022	22	10	0	32
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Apr 2023	12	8	2	22
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Jun 2023	9	5	0	14
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Jan 2024	11	7	1	19
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Mar 2024	17	9	2	28
Apr 2024	13	11	3	27
May 2024	29	18	10	57
Jun 2024	36	17	3	56
Jul 2024	17	62	6	85
Aug 2024	35	58	2	95
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Oct 2024	12	36	0	48
Nov 2024	8	31	1	40
Dec 2024	18	23	0	41
Jan 2025	22	41	2	65
Feb 2025	31	24	2	57
Mar 2025	11	7	0	18
Apr 2025	29	15	1	45
May 2025	38	9	2	49
Jun 2025	44	10	2	56
Jul 2025	40	12	0	52
Aug 2025	40	13	3	56
Sep 2025	44	14	0	58
Oct 2025	28	23	1	52
Nov 2025	27	24	4	55
Dec 2025	4	4	0	8

Latest update: 06 Dec 2025

Short summary

The question of how to utilize information from the physiography/topography in the spatial interpolation of rainfall is a long-standing discussion in the literature. In this study we test ideas that go beyond the approach in popular interpolation schemes today. The key message of our study is that these ideas can at best marginally improve interpolation accuracy, even in a region where a clear benefit would intuitively be expected.