Up-scaling short-term process-level understanding to longer timescales using a covariance-based approach

Lim, W. H.; Roderick, M. L.

doi:https://doi.org/10.5194/hess-18-31-2014

Articles | Volume 18, issue 1

https://doi.org/10.5194/hess-18-31-2014

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

Special issue:

Towards theories that link catchment structures and model...

https://doi.org/10.5194/hess-18-31-2014

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

Articles | Volume 18, issue 1

Research article

|

06 Jan 2014

Research article |

| 06 Jan 2014

Up-scaling short-term process-level understanding to longer timescales using a covariance-based approach

W. H. Lim and M. L. Roderick

Viewed

Total article views: 2,969 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
1,547	1,295	127	2,969	106	102

HTML: 1,547
PDF: 1,295
XML: 127
Total: 2,969
BibTeX: 106
EndNote: 102

Views and downloads (calculated since 01 Feb 2013, article published on 15 May 2012)

Month	HTML	PDF	XML	Total
Feb 2013	6	7	1	14
Mar 2013	10	0	10
Apr 2013	2	6	0	8
May 2013	4	12	0	16
Jun 2013	4	7	0	11
Jul 2013	1	5	0	6
Aug 2013	1	3	0	4
Sep 2013	8	0	8
Oct 2013	1	7	0	8
Nov 2013	6	0	6
Dec 2013	6	9	0	15
Jan 2014	97	82	0	179
Feb 2014	21	40	7	68
Mar 2014	29	29	7	65
Apr 2014	9	25	7	41
May 2014	24	37	2	63
Jun 2014	12	27	0	39
Jul 2014	8	30	0	38
Aug 2014	11	34	1	46
Sep 2014	12	28	2	42
Oct 2014	8	26	2	36
Nov 2014	15	25	2	42
Dec 2014	6	26	2	34
Jan 2015	12	20	1	33
Feb 2015	19	8	0	27
Mar 2015	17	3	0	20
Apr 2015	20	5	0	25
May 2015	4	13	0	17
Jun 2015	32	5	0	37
Jul 2015	21	4	1	26
Aug 2015	10	11	0	21
Sep 2015	16	6	0	22
Oct 2015	26	5	1	32
Nov 2015	25	10	1	36
Dec 2015	5	10	1	16
Jan 2016	26	6	1	33
Feb 2016	24	9	1	34
Mar 2016	34	3	0	37
Apr 2016	16	7	0	23
May 2016	14	3	1	18
Jun 2016	18	6	1	25
Jul 2016	18	5	2	25
Aug 2016	22	6	0	28
Sep 2016	23	3	0	26
Oct 2016	12	3	3	18
Nov 2016	26	2	6	34
Dec 2016	6	4	0	10
Jan 2017	19	2	1	22
Feb 2017	12	2	3	17
Mar 2017	24	3	5	32
Apr 2017	27	3	4	34
May 2017	24	4	0	28
Jun 2017	29	3	2	34
Jul 2017	15	5	0	20
Aug 2017	10	10	0	20
Sep 2017	8	7	0	15
Oct 2017	3	7	0	10
Nov 2017	8	5	0	13
Dec 2017	8	7	0	15
Jan 2018	3	6	0	9
Feb 2018	14	5	1	20
Mar 2018	12	5	0	17
Apr 2018	7	8	0	15
May 2018	7	5	0	12
Jun 2018	2	3	0	5
Jul 2018	16	13	0	29
Aug 2018	9	9	1	19
Sep 2018	10	7	0	17
Oct 2018	16	12	0	28
Nov 2018	13	9	1	23
Dec 2018	10	8	1	19
Jan 2019	6	3	1	10
Feb 2019	7	2	0	9
Mar 2019	3	5	0	8
Apr 2019	8	4	0	12
May 2019	8	8	0	16
Jun 2019	6	5	0	11
Jul 2019	5	6	0	11
Aug 2019	5	8	0	13
Sep 2019	4	5	0	9
Oct 2019	6	3	1	10
Nov 2019	7	5	0	12
Dec 2019	7	3	2	12
Jan 2020	14	7	3	24
Feb 2020	12	5	1	18
Mar 2020	3	7	0	10
Apr 2020	5	3	0	8
May 2020	6	6	0	12
Jun 2020	15	5	1	21
Jul 2020	32	23	17	72
Aug 2020	9	13	5	27
Sep 2020	9	2	0	11
Oct 2020	8	7	1	16
Nov 2020	4	5	0	9
Dec 2020	6	10	0	16
Jan 2021	23	14	0	37
Feb 2021	8	3	0	11
Mar 2021	6	9	0	15
Apr 2021	4	7	0	11
May 2021	8	12	0	20
Jun 2021	1	7	0	8
Jul 2021	4	8	0	12
Aug 2021	3	7	1	11
Sep 2021	4	11	0	15
Oct 2021	2	39	0	41
Nov 2021	3	25	0	28
Dec 2021	3	9	0	12
Jan 2022	18	14	0	32
Feb 2022	6	6	1	13
Mar 2022	4	4	0	8
Apr 2022	5	4	0	9
May 2022	3	4	0	7
Jun 2022	1	2	0	3
Jul 2022	2	4	0	6
Aug 2022	13	6	0	19
Sep 2022	4	2	0	6
Oct 2022	10	3	0	13
Nov 2022	7	11	0	18
Dec 2022	6	9	0	15
Jan 2023	8	10	2	20
Feb 2023	8	5	0	13
Mar 2023	8	3	0	11
Apr 2023	4	0	4
May 2023	5	7	2	14
Jun 2023	5	1	0	6
Jul 2023	4	5	1	10
Aug 2023	7	4	2	13
Sep 2023	3	9	1	13
Oct 2023	6	4	1	11
Nov 2023	4	9	1	14
Dec 2023	5	4	1	10
Jan 2024	9	10	2	21
Feb 2024	4	9	0	13
Mar 2024	9	5	1	15
Apr 2024	15	6	1	22
May 2024	10	8	4	22
Jun 2024	14	13	2	29
Jul 2024	6	1	0	7
Aug 2024	26	3	0	29
Sep 2024	2	4	0	6
Oct 2024	8	6	0	14
Nov 2024	5	5	0	10

Cumulative views and downloads (calculated since 01 Feb 2013, article published on 15 May 2012)

Month	HTML	PDF	XML	Total
Feb 2013	6	7	1	14
Mar 2013	10	0	10
Apr 2013	2	6	0	8
May 2013	4	12	0	16
Jun 2013	4	7	0	11
Jul 2013	1	5	0	6
Aug 2013	1	3	0	4
Sep 2013	8	0	8
Oct 2013	1	7	0	8
Nov 2013	6	0	6
Dec 2013	6	9	0	15
Jan 2014	97	82	0	179
Feb 2014	21	40	7	68
Mar 2014	29	29	7	65
Apr 2014	9	25	7	41
May 2014	24	37	2	63
Jun 2014	12	27	0	39
Jul 2014	8	30	0	38
Aug 2014	11	34	1	46
Sep 2014	12	28	2	42
Oct 2014	8	26	2	36
Nov 2014	15	25	2	42
Dec 2014	6	26	2	34
Jan 2015	12	20	1	33
Feb 2015	19	8	0	27
Mar 2015	17	3	0	20
Apr 2015	20	5	0	25
May 2015	4	13	0	17
Jun 2015	32	5	0	37
Jul 2015	21	4	1	26
Aug 2015	10	11	0	21
Sep 2015	16	6	0	22
Oct 2015	26	5	1	32
Nov 2015	25	10	1	36
Dec 2015	5	10	1	16
Jan 2016	26	6	1	33
Feb 2016	24	9	1	34
Mar 2016	34	3	0	37
Apr 2016	16	7	0	23
May 2016	14	3	1	18
Jun 2016	18	6	1	25
Jul 2016	18	5	2	25
Aug 2016	22	6	0	28
Sep 2016	23	3	0	26
Oct 2016	12	3	3	18
Nov 2016	26	2	6	34
Dec 2016	6	4	0	10
Jan 2017	19	2	1	22
Feb 2017	12	2	3	17
Mar 2017	24	3	5	32
Apr 2017	27	3	4	34
May 2017	24	4	0	28
Jun 2017	29	3	2	34
Jul 2017	15	5	0	20
Aug 2017	10	10	0	20
Sep 2017	8	7	0	15
Oct 2017	3	7	0	10
Nov 2017	8	5	0	13
Dec 2017	8	7	0	15
Jan 2018	3	6	0	9
Feb 2018	14	5	1	20
Mar 2018	12	5	0	17
Apr 2018	7	8	0	15
May 2018	7	5	0	12
Jun 2018	2	3	0	5
Jul 2018	16	13	0	29
Aug 2018	9	9	1	19
Sep 2018	10	7	0	17
Oct 2018	16	12	0	28
Nov 2018	13	9	1	23
Dec 2018	10	8	1	19
Jan 2019	6	3	1	10
Feb 2019	7	2	0	9
Mar 2019	3	5	0	8
Apr 2019	8	4	0	12
May 2019	8	8	0	16
Jun 2019	6	5	0	11
Jul 2019	5	6	0	11
Aug 2019	5	8	0	13
Sep 2019	4	5	0	9
Oct 2019	6	3	1	10
Nov 2019	7	5	0	12
Dec 2019	7	3	2	12
Jan 2020	14	7	3	24
Feb 2020	12	5	1	18
Mar 2020	3	7	0	10
Apr 2020	5	3	0	8
May 2020	6	6	0	12
Jun 2020	15	5	1	21
Jul 2020	32	23	17	72
Aug 2020	9	13	5	27
Sep 2020	9	2	0	11
Oct 2020	8	7	1	16
Nov 2020	4	5	0	9
Dec 2020	6	10	0	16
Jan 2021	23	14	0	37
Feb 2021	8	3	0	11
Mar 2021	6	9	0	15
Apr 2021	4	7	0	11
May 2021	8	12	0	20
Jun 2021	1	7	0	8
Jul 2021	4	8	0	12
Aug 2021	3	7	1	11
Sep 2021	4	11	0	15
Oct 2021	2	39	0	41
Nov 2021	3	25	0	28
Dec 2021	3	9	0	12
Jan 2022	18	14	0	32
Feb 2022	6	6	1	13
Mar 2022	4	4	0	8
Apr 2022	5	4	0	9
May 2022	3	4	0	7
Jun 2022	1	2	0	3
Jul 2022	2	4	0	6
Aug 2022	13	6	0	19
Sep 2022	4	2	0	6
Oct 2022	10	3	0	13
Nov 2022	7	11	0	18
Dec 2022	6	9	0	15
Jan 2023	8	10	2	20
Feb 2023	8	5	0	13
Mar 2023	8	3	0	11
Apr 2023	4	0	4
May 2023	5	7	2	14
Jun 2023	5	1	0	6
Jul 2023	4	5	1	10
Aug 2023	7	4	2	13
Sep 2023	3	9	1	13
Oct 2023	6	4	1	11
Nov 2023	4	9	1	14
Dec 2023	5	4	1	10
Jan 2024	9	10	2	21
Feb 2024	4	9	0	13
Mar 2024	9	5	1	15
Apr 2024	15	6	1	22
May 2024	10	8	4	22
Jun 2024	14	13	2	29
Jul 2024	6	1	0	7
Aug 2024	26	3	0	29
Sep 2024	2	4	0	6
Oct 2024	8	6	0	14
Nov 2024	5	5	0	10

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Up-scaling short-term process-level understanding to longer timescales using a covariance-based approach

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