Application of a computationally efficient method to approximate gap model results with a probabilistic approach

Scherstjanoi, M.; Kaplan, J. O.; Lischke, H.

doi:https://doi.org/10.5194/gmd-7-1543-2014

Articles | Volume 7, issue 4

https://doi.org/10.5194/gmd-7-1543-2014

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

https://doi.org/10.5194/gmd-7-1543-2014

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

Articles | Volume 7, issue 4

Development and technical paper

|

24 Jul 2014

Development and technical paper |

| 24 Jul 2014

Application of a computationally efficient method to approximate gap model results with a probabilistic approach

M. Scherstjanoi, J. O. Kaplan, and H. Lischke

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Total article views: 3,829 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
2,030	1,648	151	3,829	143	155

HTML: 2,030
PDF: 1,648
XML: 151
Total: 3,829
BibTeX: 143
EndNote: 155

Views and downloads (calculated since 28 Feb 2014)

Month	HTML	PDF	XML	Total
Feb 2014	15	6	0	21
Mar 2014	26	26	1	53
Apr 2014	11	26	6	43
May 2014	8	26	1	35
Jun 2014	3	14	0	17
Jul 2014	62	57	3	122
Aug 2014	49	48	3	100
Sep 2014	11	25	3	39
Oct 2014	13	22	2	37
Nov 2014	3	16	3	22
Dec 2014	6	53	4	63
Jan 2015	5	22	1	28
Feb 2015	9	7	1	17
Mar 2015	5	10	1	16
Apr 2015	16	9	4	29
May 2015	6	9	2	17
Jun 2015	23	2	0	25
Jul 2015	20	6	0	26
Aug 2015	6	8	0	14
Sep 2015	4	17	0	21
Oct 2015	11	17	1	29
Nov 2015	15	20	0	35
Dec 2015	2	21	0	23
Jan 2016	18	22	0	40
Feb 2016	16	25	1	42
Mar 2016	12	14	0	26
Apr 2016	3	6	0	9
May 2016	15	12	4	31
Jun 2016	10	9	4	23
Jul 2016	12	15	1	28
Aug 2016	11	14	3	28
Sep 2016	9	6	2	17
Oct 2016	16	7	2	25
Nov 2016	7	4	0	11
Dec 2016	6	7	0	13
Jan 2017	23	14	3	40
Feb 2017	16	8	4	28
Mar 2017	30	8	2	40
Apr 2017	25	13	5	43
May 2017	38	5	7	50
Jun 2017	34	14	2	50
Jul 2017	14	10	0	24
Aug 2017	6	10	0	16
Sep 2017	8	10	2	20
Oct 2017	5	22	0	27
Nov 2017	3	23	0	26
Dec 2017	6	19	0	25
Jan 2018	3	18	0	21
Feb 2018	5	17	0	22
Mar 2018	7	26	0	33
Apr 2018	7	22	0	29
May 2018	4	27	0	31
Jun 2018	5	29	3	37
Jul 2018	6	27	3	36
Aug 2018	11	29	1	41
Sep 2018	18	21	0	39
Oct 2018	5	25	0	30
Nov 2018	11	25	2	38
Dec 2018	8	21	0	29
Jan 2019	8	28	0	36
Feb 2019	5	13	1	19
Mar 2019	3	15	0	18
Apr 2019	7	25	0	32
May 2019	6	12	1	19
Jun 2019	1	19	0	20
Jul 2019	7	21	0	28
Aug 2019	11	21	0	32
Sep 2019	3	21	0	24
Oct 2019	9	17	0	26
Nov 2019	7	15	0	22
Dec 2019	4	14	1	19
Jan 2020	9	6	2	17
Feb 2020	6	5	0	11
Mar 2020	5	7	1	13
Apr 2020	6	7	0	13
May 2020	2	4	0	6
Jun 2020	13	17	0	30
Jul 2020	52	36	31	119
Aug 2020	8	3	2	13
Sep 2020	9	2	0	11
Oct 2020	15	9	2	26
Nov 2020	9	4	0	13
Dec 2020	11	5	0	16
Jan 2021	20	10	1	31
Feb 2021	4	3	0	7
Mar 2021	6	6	0	12
Apr 2021	5	2	1	8
May 2021	3	10	0	13
Jun 2021	4	6	0	10
Jul 2021	5	6	0	11
Aug 2021	4	3	0	7
Sep 2021	11	8	0	19
Oct 2021	9	24	1	34
Nov 2021	7	21	0	28
Dec 2021	12	3	0	15
Jan 2022	7	12	0	19
Feb 2022	8	5	1	14
Mar 2022	7	4	0	11
Apr 2022	30	5	1	36
May 2022	36	12	1	49
Jun 2022	34	2	0	36
Jul 2022	26	1	0	27
Aug 2022	43	4	1	48
Sep 2022	34	4	0	38
Oct 2022	39	11	1	51
Nov 2022	45	5	0	50
Dec 2022	30	2	0	32
Jan 2023	32	9	0	41
Feb 2023	36	8	0	44
Mar 2023	42	3	0	45
Apr 2023	34	3	0	37
May 2023	32	9	0	41
Jun 2023	33	3	0	36
Jul 2023	34	2	0	36
Aug 2023	37	7	1	45
Sep 2023	35	5	0	40
Oct 2023	38	8	0	46
Nov 2023	20	1	0	21
Dec 2023	37	4	2	43
Jan 2024	34	5	0	39
Feb 2024	37	6	1	44
Mar 2024	45	9	2	56
Apr 2024	61	5	4	70
May 2024	12	7	2	21
Jun 2024	19	5	2	26
Jul 2024	5	3	1	9

Cumulative views and downloads (calculated since 28 Feb 2014)

Month	HTML	PDF	XML	Total
Feb 2014	15	6	0	21
Mar 2014	26	26	1	53
Apr 2014	11	26	6	43
May 2014	8	26	1	35
Jun 2014	3	14	0	17
Jul 2014	62	57	3	122
Aug 2014	49	48	3	100
Sep 2014	11	25	3	39
Oct 2014	13	22	2	37
Nov 2014	3	16	3	22
Dec 2014	6	53	4	63
Jan 2015	5	22	1	28
Feb 2015	9	7	1	17
Mar 2015	5	10	1	16
Apr 2015	16	9	4	29
May 2015	6	9	2	17
Jun 2015	23	2	0	25
Jul 2015	20	6	0	26
Aug 2015	6	8	0	14
Sep 2015	4	17	0	21
Oct 2015	11	17	1	29
Nov 2015	15	20	0	35
Dec 2015	2	21	0	23
Jan 2016	18	22	0	40
Feb 2016	16	25	1	42
Mar 2016	12	14	0	26
Apr 2016	3	6	0	9
May 2016	15	12	4	31
Jun 2016	10	9	4	23
Jul 2016	12	15	1	28
Aug 2016	11	14	3	28
Sep 2016	9	6	2	17
Oct 2016	16	7	2	25
Nov 2016	7	4	0	11
Dec 2016	6	7	0	13
Jan 2017	23	14	3	40
Feb 2017	16	8	4	28
Mar 2017	30	8	2	40
Apr 2017	25	13	5	43
May 2017	38	5	7	50
Jun 2017	34	14	2	50
Jul 2017	14	10	0	24
Aug 2017	6	10	0	16
Sep 2017	8	10	2	20
Oct 2017	5	22	0	27
Nov 2017	3	23	0	26
Dec 2017	6	19	0	25
Jan 2018	3	18	0	21
Feb 2018	5	17	0	22
Mar 2018	7	26	0	33
Apr 2018	7	22	0	29
May 2018	4	27	0	31
Jun 2018	5	29	3	37
Jul 2018	6	27	3	36
Aug 2018	11	29	1	41
Sep 2018	18	21	0	39
Oct 2018	5	25	0	30
Nov 2018	11	25	2	38
Dec 2018	8	21	0	29
Jan 2019	8	28	0	36
Feb 2019	5	13	1	19
Mar 2019	3	15	0	18
Apr 2019	7	25	0	32
May 2019	6	12	1	19
Jun 2019	1	19	0	20
Jul 2019	7	21	0	28
Aug 2019	11	21	0	32
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Oct 2019	9	17	0	26
Nov 2019	7	15	0	22
Dec 2019	4	14	1	19
Jan 2020	9	6	2	17
Feb 2020	6	5	0	11
Mar 2020	5	7	1	13
Apr 2020	6	7	0	13
May 2020	2	4	0	6
Jun 2020	13	17	0	30
Jul 2020	52	36	31	119
Aug 2020	8	3	2	13
Sep 2020	9	2	0	11
Oct 2020	15	9	2	26
Nov 2020	9	4	0	13
Dec 2020	11	5	0	16
Jan 2021	20	10	1	31
Feb 2021	4	3	0	7
Mar 2021	6	6	0	12
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Jul 2021	5	6	0	11
Aug 2021	4	3	0	7
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Oct 2021	9	24	1	34
Nov 2021	7	21	0	28
Dec 2021	12	3	0	15
Jan 2022	7	12	0	19
Feb 2022	8	5	1	14
Mar 2022	7	4	0	11
Apr 2022	30	5	1	36
May 2022	36	12	1	49
Jun 2022	34	2	0	36
Jul 2022	26	1	0	27
Aug 2022	43	4	1	48
Sep 2022	34	4	0	38
Oct 2022	39	11	1	51
Nov 2022	45	5	0	50
Dec 2022	30	2	0	32
Jan 2023	32	9	0	41
Feb 2023	36	8	0	44
Mar 2023	42	3	0	45
Apr 2023	34	3	0	37
May 2023	32	9	0	41
Jun 2023	33	3	0	36
Jul 2023	34	2	0	36
Aug 2023	37	7	1	45
Sep 2023	35	5	0	40
Oct 2023	38	8	0	46
Nov 2023	20	1	0	21
Dec 2023	37	4	2	43
Jan 2024	34	5	0	39
Feb 2024	37	6	1	44
Mar 2024	45	9	2	56
Apr 2024	61	5	4	70
May 2024	12	7	2	21
Jun 2024	19	5	2	26
Jul 2024	5	3	1	9

Cited

Saved (final revised paper)

Latest update: 16 Jul 2024

Application of a computationally efficient method to approximate gap model results with a probabilistic approach

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Cited

6 citations as recorded by crossref.

6 citations as recorded by crossref.

Saved (final revised paper)